General research methods, course for M.Sc. and Ph.D. students - Part 1 (LÆK106F)

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.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 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.

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.

Laboratory Animal Science EU Function ABD (formerly FELASA Category C) (LÆK0AHF)

The course is an electronic course organised by Copenhagen University in collaboration with University of Iceland. The course is the responsibility of Institute for Experimental Pathology at Keldur, Biomedical Center, the Food and Veterinary Authority and ArcticLAS.

Aim and content:

Entrance requirements are postgraduate studies towards a MSc or PhD degree in life sciences and basic knowledge in physiology and anatomy, and preferably etology and/or pharmacology.

This course is intended only for persons who work independently with laboratory animals. The practical exercises require participants to work with live animals, which should be in the strictest accordance to animal welfare legislation.

The course gives a practical and theoretic introduction to handling, housing and using laboratory animals and how to replace, refine and reduce the use of live animals for research.

The course is run electronically by Copenhagen University and is a function A/B/D course according to the EU Directive 2010/63/EU Article 23.2 (previously designated category C), accredited by the Federation of European Laboratory Animal Science Associations (FELASA).

Due to the practical exercises, maximum number of participants is 15, in 5 person groups. The course concludes by oral exam online, conducted by the course organisers at Copenhagen University.

To qualify for the FELASA A/B/D licence, the participant both must pass the practical exercises and the exam.  The licence entitles the holder to independently plan, implement and take responsibility for the design and performance of animal experimentation within the European Union according to the EU Directive 2010/63/EU Article 23.2

The course adheres to the EU Directive 2010/63/EU and the more detailed learning outcomes described by EU's expert working group in 'A working document on the development of a common education and training framework to fulfil the requirements under the Directive' (http://ec.europa.eu/environment/chemicals/lab_animals/pdf/Endorsed_E-T.pdf)

The theoretical part will be given as access to an online portal with the theory given as online lectures, videos and quizzes, with the possibility of online discussion with teachers on regular occasions during online webinars. Lectures on Icelandic legislation regarding the use of animals for scientific purposes are given by the Icelandic Food and Veterinary Authority in one of the University of Iceland’s lecture rooms.

The practical teaching will be given at ArcticLAS, Krókhálsi 5d, 110 Reykjavík.

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 (LÆK566L, LÆK566L)

The objective of the PhD programme in the Faculty of Medicine is to provide the PhD student with training and insight into the methodology of medical 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 Faculty. Applications should be submitted from the applicant and his/her tutor, who should be a teacher of the Medical Faculty, to the Dean of the Faculty of Medicine. For further information contact the office of the Faculty of Medicine. The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of medical 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 BS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a BS 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 (LÆK566L, LÆK566L)

The objective of the PhD programme in the Faculty of Medicine is to provide the PhD student with training and insight into the methodology of medical 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 Faculty. Applications should be submitted from the applicant and his/her tutor, who should be a teacher of the Medical Faculty, to the Dean of the Faculty of Medicine. For further information contact the office of the Faculty of Medicine. The objective of the PhD Programme is to provide PhD students with training and insight into the methodology of medical 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 BS degree from the University of Iceland or an equivalent degree or examination. The average mark required for a BS 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.