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Course module: BMB507316
BMB507316
Specialisation Programme General Epidemiology - E-learning
Course info
Course codeBMB507316
ECTS Credits14
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Medicine; Graduate School of Life Sciences; Epidemiology;
Contact personM.S. Jurgens
E-mailMJurgens@umcutrecht.nl
Lecturers
Contactperson for the course
M.S. Jurgens
Other courses by this lecturer
Teaching period
MASTER  (21/08/2017 to 18/08/2018)
Teaching period in which the course begins
MASTER
Time slot-: Not in use
Study mode
Full-time
Course application processadministratie onderwijsinstituut
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesNo
Pre-enrolmentNo
Waiting listNo
Course placement processadministratie onderwijsinstituut
Aims
At the end of this course, the student:
  1. has insight in the basic terminology and principles specific for clinical epidemiology;
  2. has insight in the different aspects of clinical epidemiological research (diagnostic / prognostic / therapeutic / etiologic, i.e. causal / descriptive);
  3. is able to determine a clinical research question that includes outcome, determinants and domain;
  4. has knowledge of the different study designs and design aspects used in clinical epidemiology;
  5. is able to design a clinical epidemiological study;
  6. has knowledge of the data-analysis techniques that are used for the different aspects of clinical epidemiological research;
  7. is able to choose and apply the appropriate basic techniques to analyse data of a clinical epidemiological study using the statistical package SPSS;
  8. is able to interpret the results of basic data analyses of a clinical epidemiological study;
  9. understands the concepts of bias, and the statistical issues concerning confounding bias;
  10. is able to read and understand clinical epidemiological scientific papers and recognize, in these papers, which study design and data analysis techniques were used;
  11. has insight in the basic design principles of a randomized controlled trial;
  12. has an overview of specialized design options for a randomized controlled trial;
  13. has insight in the basic principles of data analysis of a randomized controlled trial;
  14. has an overview of more specialized principles of data analysis of a randomized controlled trial;
  15. has insight in the principles of drug risk assessment and how to evaluate potential side effects of medication;
  16. has an overview of current regulatory principles for the conduct of randomized controlled trials;
  17. has an overview of common practical issues in the conduct of a randomized controlled trial and suitable solutions;
  18. is able to design a valid randomized controlled trial for any intervention;
  19. is able to read, understand and appraise epidemiological scientific papers on randomized controlled trials.
Other learning goals depend on choice of courses as part of specialisation programme
Content
Period (from – till): Short courses during whole study year

Contact details: Educational Office Epidemiology
E-mail: msc-epidemiology@umcutrecht.nl

Registration:
https://epidemiology-education.nl/ – learning environment

Lecturer(s):
Staf Julius Centrum

Course description:
Each Epidemiology student is expected to attend so called ‘specialisation courses’. Each specialisation consists of obligatory and free to be chosen courses. These lecture days of choice should concise of (advanced) epidemiological or statistical courses. Listed below are the courses per specialisation.
 
General Epidemiology (GE) – program director Prof AW Hoes
Add courses to reach the total amount of EC’s for the specialization programme*
* These courses need to be:
  • epidemiological courses and/or statistical courses and/or;
  • for PhD students with a TSA, part of the obligatory programme specific courses at the PhD program the student is enrolled in.
Literature/study material used:
Depending on chosen courses
 
Mandatory for students in own Master’s programme:
N.A.

Optional for students in other GSLS Master’s programme:
No

Prerequisite knowledge
Introduction to Epidemiology
Introduction to Statistics
Study Design in Etiologic Research
Classical Methods in Data Analysis
Competencies
-
Entry requirements
You must meet the following requirements
  • Enrolled for a degree programme of faculty Faculty of Medicine
  • Completed Bachelor
Prerequisite knowledge
Introduction to Epidemiology. Introduction to Statistics. Study Design in Etiologic Research. Classical Methods in Data Analysis.
Required materials
-
Instructional formats
Presentation

Tests
Final result
Test weight100
Minimum grade-

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