Scientific Research methods (GSL107F)

The course constitutes a practical guide to the preparation of a health-related research study. Modules include: reference search and handling, development of hypotheses, creation of a systematic critical review within chosen field of research, development and presentation of research proposals.

The course provide students knowledge of useful statistical methods appropriate for their  project. The student also prepare and apply for a license according to their research.

The course is for graduate students who have chosen a field/research question for their dissertation project.

IT systems RIS/PACS (GSL108F)

Students are taught the research techniques used in the implementation of the research that belongs to the imaging unit that they chooses or is assigned to.

Students choose a specific disease / study that is diagnosed with the relevant imaging and returns a systematic overview related to it.

Attempts will be made to meet the interests of students, but the following imaging methods are available:

Magnetic resonance imaging (MRI)

Computed tomography (CT) images

Isotopes (ISO)

PET (positron emission tomography)

Vascular examination (angio)

Bone density measurements (DEXA)

Cancer treatments

Breast examinations

Ultrasound

Seminar in Radiography (GSL110F)

Students and teachers lecture on and discuss interesting research.

Lectures are given by students and teachers. Conference on Radiography research. Attendance is compulsory and active participation in discussions is required.

Management in biomedical science (LEI105F)

Items for discussions are:

Quality management in health services, including concepts like accreditation, certification, quality standards and quality manuals.

Safety management, including safety of the work environment, and data safety
Environmental management according to ISO 14000
Knowledge management and information systems
Change management
Project management
Financial management
Human resource management

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.

Interdisciplinary cooperation in health sciences (HVS501M)

The course (2 ECTS) is especially aimed at students who have completed at least three years of undergraduate studies in clinical disciplines within the field of health sciences. It is a prerequisite for the clinical course Interdisciplinary clinical cooperation: The HealthSquare (2 ECTS) (health care service for university students). The course is based on the theories of interprofessional education and various teaching strategies will be used in order to encourage active participation of students. Students will work together in interdisciplinary groups. The course is mainly focused on interdisciplinary theories, professionalism, interdisciplinary cooperation, team work and ethical decisions in health care.

Assessment (pass / fail) is based on  project work, activity in project work and exams that take place in electronic form in the teaching cycle. 

Teaching arrangements:
Students are divided into interdisciplinary study groups at the beginning of the semester that plan and execute their own meeting times and hand in their final assignments before the end of October. 

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.

Seminar in Radiography (GSL209F)

Students and teachers lecture on and discuss interesting research.

Lectures are given by students and teachers. Conference on Radiography research. Attendance is compulsory and active participation in discussions is required.

Final paper in diploma studies on masters level in radiography (GSL206F)

Students select their own field of study in radiography and supply their knowledge in the field. Students work on a final paper according to their interest under supervision and present the results.

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.