PhD programme HVS-Medicine (HVS561L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

PhD programme HVS-Medicine (HVS561L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

PhD programme HVS-Medicine (HVS561L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

Doctoral seminar (HJÚ507F, HJÚ507F)

The Doctoral seminar will be held 4 to 5 times each semester. The seminar will include both lectures on issues from the doctoral research at the Faculty of Nursing and Midwifery as well as presentation and  discussion on methodology.

Doctoral seminar (HJÚ507F, HJÚ507F)

The Doctoral seminar will be held 4 times each semester. The seminar will include both lectures on issues from the doctoral research at the Faculty of Nursing and Midwifery as well as discussion on methodology in Nursing from faculty.

PhD programme HSV-Medicine (HVS001L, HVS001L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

PhD programme HSV-Medicine (HVS001L, HVS001L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

PhD programme HVS-Odontology (HVS003L, HVS003L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

PhD programme HVS-Odontology (HVS003L, HVS003L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

PhD Health Science HVS- Pharmaceutical Sciences (HVS007L, HVS007L, HVS007L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

PhD Health Science HVS- Pharmaceutical Sciences (HVS007L, HVS007L, HVS007L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

PhD Health Science HVS- Pharmaceutical Sciences (HVS007L, HVS007L, HVS007L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

PhD programme HVS-Physical Therapy (HVS020L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

PhD programme HVS-Physical Therapy (HVS020L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

PhD programme HVS-Psychology (HVS019L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Biostatistics I (LÝÐ105F)

This course is an introduction to statistics in the life sciences. The course covers the following topics. Types of data: categorical data, count data, data on continuous variables. Descriptive statistics; numerical statistics and statistical graphs. Probability distributions, the binomial distribution, the Poisson distribution and the normal distribution. The definitions of a random sample and of a population. Sampling distributions. Confidence intervals and hypothesis testing. Comparison of means between groups. Statistical tests for frequency tables. Linear and logistic regression with ROC analysis. Survival analysis with the methods of Kaplan-Meier and Cox. The course is based on lectures and practical sessions in computer labs. In the practical sessions exercises are solved with the statistical software package R and the RStudio environment.

The Social Work Profession and ethics (FRG105F)

The goal of this course is to have students learn interview technique and receive opportunities to practice interviewing through role plays.  Students make an interviewing video and analyse it.  Students also do other projects, connecting professional knowledge with practice, creating awareness about own attitutes, values and personal factors.    Professional writing is also adressed in this course, as a tool in case procedure.  Also work related stress and burnout is addressed. Finally, supervision is introduced and the importance of it in social work.

Applied statistics (HJÚ135F)

This is the second course in applied statistics, focusing on calculation, interpretation, and presentation of results. Topics include mean and frequency-based tests of significance, alternative measures of correlation, simple/oneway and multivariate ANOVA and Regression, and statistical measures of reliability and validity of variables and instruments.

The course is composed of lectures and problem-based sessions.  It is given in the classroom.

Current ethical issues (HSP723M)

The focus of this course is the application of ethics to pressing problems and debates in contemporary society. Possible methods for solving ethical dilemmas, both on an individual and social basis, are discussed. The selection of topics may change from year to year, but possible topics include free speech, the status of refugees, animal rights, poverty and economic inequality, gender discrimination, racial discrimination, environmental issues, and various issues in health care. The relation between theoretical and applied ethics is discussed. While instruction includes lectures, student participation in discussion is greatly emphasized.

General research methods, course for M.Sc. and Ph.D. students - Part 2 (LÆK0ALF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 3 (LÆK0AMF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

General research methods, course for M.Sc. and Ph.D. students - Part 4 (LÆK0ANF)

This course is taught as four independent modules, that the student should choose from based on their prior education and training and to best meet everyone´s educational goals. Successful completion of each module is awarded with 2 ECTS credits. M.Sc. student should at minimum choose three (6 ECTS) and Ph.D. students should at a minimum choose two modules (4 ECTS), and one of the modules chosen needs to be either module number 2 or 3.  The student is responsible to notify the course administrator about how many credits they intend to take and what modules before registration ends. Each module contains 3-4 lectures and a project. A pass for each module is granted for 75% attendance (or watching lecture online) and the timely return of an assignment. The modules are:

1. Article reading and data presentation
   1. How to read a paper and present your data
   2. Reference search and management (computer lab session)
   3. The scientific method
   4. ASSIGNMENT - Mini conference. Students will present their research project or paper (7 min)

2. Introduction to the scientific method

   1. Research ethics
   2. The philosophy of science
   3. Dishonesty in Science
   4. Quantitative & Qualitative Methods
   5. ASSIGNMENT – online project

3. Grant application, data collection and quality management
   1. Data handling and safety
   2. Permission applications/Research animals
   3. Quality management
   4. Grant applications
   5. ASSIGNMENT – preparation of grant application

4. Graduate student’s toolbox. This module is taught with the Center for graduate studies at their location in Setberg. This module is targeted towards graduate students (M.Sc./Ph.D.). The objective of the module is teaching graduate students transferable skills that can be applied to both academic research and research-oriented jobs
   1. Time Management
   2. Managing the Graduate Student - Advisor relationship
   3. Academic English
   4. Academic CV workshop
   5. ASSIGNMENT – Students write an academic CV in English.

Latent variable models I (SÁL138F)

The course covers models used to work with the underlying variables in psychological measurements will be introduced. In the first course (Models for underlying variables I) we will work with confirmatory factor models and structural equation models (also known as path models). We will cover the assumptions of the models, how to work with them, and interpretation of results. Methods to work with different types of data will be discussed. In the second course (Models for underlying variables II) we will start by introducing methods for categorical variables and then move to the closely related item response models. Primary focus will be on models for binary data but the most common models for categorical data will be introduced. In the second part of the course, we will move on to models for longitudinal data that use underlying variables: latent growth models, cross-lagged product models, and models for intensive longitudinal methods (also known as Daily-diary data, Ambulatory assessment, or Ecological-momentary data). Emphasis will be on practical training in analyzing data with models through projects, as well as the theoretical basis of models.

Construction of self report scales (SÁL139F)

This course is designed to introduce students to the practice of psychological scale development and testing. Classical test theory is introduced with an emphasis on understanding statistical concepts related to scale construction. The main focus of the course is on practical training in scale development and the controversial issues related to developing a psychological scale from scratch.

Research methods in Applied Behavioral Analysis (SÁL141F)

This course equips the students with understanding and knowledge of how various single-subject experimental designs can be used to study, monitor, and answer questions about the effects of interventions on behavior. The course includes coverage of the most common single-subject designs and reviews the most important issues in conducting research using single-case experimental designs. Students will learn to develop valid and reliable systems for measuring behavior, to display data, and to assess for orderly changes in behavior through visual inspection and interpretation of graphic data. The learning arrangements consist of lectures and applied projects.

Research Ethics (HSP073F)

The intensive course is intended for PhD-students only. It is adapted to the needs of students from different fields of study and is taught in English as a three day seminar (9.10-15.40) Tuesday to Thursday in late August. The course is a concise version of HSP806F Ethics of Science and Research (6 ECTS), which is taught in February-March. The objective is to train students in reasoning about ethical controversies relating to science and research in contemporary society. At the end of the course they will have the necessary tool-kit to navigate the ethical part of the troubled waters of applying for licences and references, getting published and securing funding. No prior knowledge of ethical theory and any particular science will be assumed in the course. The instruction takes the form of short lectures, discussions and group work on case studies. The idea is to create an academic community where students are actively engaged in a focused dialogue about different questions on research ethics.

Taught:
Tue 20 August 9:10 am to 3:40 pm
Wed 21 August 9:10 am to 3:40 pm
Thu 22 August 9:10 am to 3:40 pm

Attn.: This course will be taught remotely (online)

Introduction to Pharmaceutical Sciences (LYF107M)

Pharmaceutical sciences is a versatile field that integrates diverse disciplines such as organic chemistry, biology and biochemistry to understand how we can develope new drugs that can improve current therapies or be first in line as a treatment. Thus, studies on their physicochemical properties, their formulation into suitable drug and their action inside the human body is needed. In this course we aim to provide the overview of this field in a comprehensive way. This course is aimed towards students with no background in pharmacy/pharmaceutical sciences.

PhD programme HVS-Psychology (HVS019L)

The objective of the PhD programme  is to provide the PhD student with training and insight into the methodology of health science research and a comprehensive knowledge of the field of his/her PhD thesis. Furthermore to provide training for preparing and conducting research and publishing its results so as to be able to submit a doctoral thesis of such quality as required by the School of Health Sciences.  The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of  research and a comprehensive knowledge in the field of their PhD thesis. Furthermore, PhD students are to have training in the preparation and conduct of academic research as well as the publication of research findings so that they will be well prepared to pursue scientific work on an independent basis. Admission Requirements Students who are admitted to the PhD programme must have competed a MS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a MS degree or equivalent should generally not be under 7,25 (on a scale of 0-10). It is permitted to disregard the minimum mark rule if a student has, e.g., demonstrated academic aptitude and/or qualifications in independent research. PhD candidates with substantial experience in research methodology, who have already completed significant research projects, published scientific papers. or who submit a finished thesis to the faculty are subject to the same rules as other doctoral candidates. A supervisor and a PhD Committee is appointed. The PhD Committee evaluates the experience, research work and published writings of the PhD candidate as partial or even full credit towards a PhD degree. In such an event, the thesis will be treated in accordance with Art. 69 of the Regulations of the University of Iceland.

Quantitative Nursing Research (HJÚ252F)

The course is intended to deepen students' knowledge in practical quantitative methodology.

The course will be presented scientific methodology with particular emphasis on the systematic literature review that is the cornerstone of evidence-based practice. In addition, the study of tailored procedures used in clinical trials in Health discussed and analyzed.

The systematic theoretical summary of field training to set out a clear research question or research questions and to make use of PICO criteria to assemble a search with keywords from the research question/categories. In addition, emphasis will be placed on guided by the PRISMA statement on how to levy the results of a systematic literature review to identify, select and criticize the relevant studies and to collect and analyze studies that meet the entry requirements for academic SPC.

Students are trained to assess the quality of research, among others from the Joanna Briggs Institute manual.

The course will place special emphasis on introducing students to the cross-sectional studies, long-term research and development of standard and semi-standard experimental research.

In the treatment studies, among other things, deals with the coordination of research subjects and the research questions and hypotheses to the methodology relied upon, ie, the sample size, format, measurement, data processing and effect size (effect size).

Special emphasis is placed on providing students with insight into the requirements for your creative research results in international journals and the exploitation of nursing and midwifery.

Bioethics and Ethics of Medicine (HSP823M)

A discussion of some controversial issues in the field of bioethics, in particular those relating to developments in genetics and their possible effects upon medical services and health care policy.

Qualitative Nursing Research (HJÚ253F)

The course is intended to deepen students' knowledge in qualitative methodology. The philosophical and theoretical basis of qualitative methods is taught alongside its practical application in nursing and midwifery. In this context, students develop skills to develop initiate their own research projects and to utilize research results within their own field of expertise.

The student brings interesting research articles conducted within his/her speciality to class and they are used in wider discussions of qualitative methodology.

To prepare the student to conduct qualitative studies we have organized interactive workshops. Throughout the course, ethical issues related to qualitative research are also discussed, such as confidentiality, validity and generalization of research results.

The student is also trained to critically appraise the quality of published qualitative research articles. Particular emphasis is placed on getting the student acquainted with phenomenology, qualitative content analysis (theme analysis vs. coding and deductive vs. inductive analysis), field studies (ethnography), individual interviews and focus group interviews, mixed-method research, and action research.

Projects that the student engage in during the course should be associated with their own field of expertise and must be prepared in collaboration with their main supervisor.

Ethics of Science and Research (HSP806F)

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught 12th January - 16th February on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Ethics (LYF215F)

The aim of this course is to provide students with insight into ethics and training in ethical thinking through analysing and debating realistic challenges in healthcare.
The course is intended as preparation for clinical training in a pharmacy setting and practical clinical pharmacy.

Ethics and Society (MVS210F)

In this course we will analyse particular ethical dilemmas related to e.g. education, environment and/or welfare issues. We will emphasize what characterizes ethical dilemmas and discuss how they can be met. To do this we will focus on chosen examples from public debate in Iceland  were the core of the conflict will be defined and underlying values will be drawn out.

Research Ethics (MVS211F)

In this course on research ethics special emphasis will be on research ethics in both medical sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Current Topics in Food Sciences (MAT702F)

Objectives:
To inform students about the latest research, policies and developments related to food processing and engineering and teach them to read in depth scientific articles and other information in a critical way and participate in discussions and present their opinion in a systematic way. 

Arrangement: 
The course is structured as a reading course where the latest topics and research related to food processing and engineering are covered.   Different aspects of processing and engineering will be addressed each week, e.g. new processing methods, product development, nanotechnology, transport technology, green production technology, new processing equipment, traceability, etc.  Students receive weekly scientific and / or summary articles, which they read in detail with a critical mind.  Students and teachers meet weekly to discuss the general topic presented, as well as the content of the articles, methodology and authors' conclusions.  Students, teachers, and guests will give presentations.  The teacher will, with the active participation of the students, peer-review selected articles in the class with the aim of teaching the students the methodology of scientific peer-review. The student submits a short report weekly on the scientific articles he has read, together with his assessment of them.  At the end of the course, each student is presented with one scientific article that he or she is asked to peer review in detail, as if it were a review of a new unpublished article. The student submits this peer review at the end of the course. The course is taught over two full semesters a total of 30 sessions.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.

General statistics, course for M.Sc. and Ph.D. students (LÆK101F)

Compulsory course. The aim of the course is to provide post graduate students with practical and generic skills required in research. Items covered in the course are descriptive statistics, effect statistics, validity and reliability, inferential statistics, common parametric and nonparametric statistical tests and multiple regression analysis. The students are introduced to computer statistical analysis in practical computer classes.