Bridging Course

Academic Study Board of Public Health

Teaching language: English
EKA: S500038302
Censorship: Second examiner: None
Grading: Pass/Fail
Offered in: Esbjerg
Offered in: Summer school (spring)
Level: Supplementation

Course ID: S500038301
ECTS value: 7.5

Date of Approval: 17-02-2021

Duration: 1 quarter

Course Title

Bridging Course

Course Responsible

Name Email Department
Line Remmen IST - Sundhedsfremme


Name Email Department City
Gabriele Berg-Beckhoff IST - Sundhedsfremme
Line Remmen IST - Sundhedsfremme

Student teachers

Name Email Department City
Christopher Fisker Jensen
Ida Simmelsgaard

Course secretary

Name Email Department City
Sabine M. Talbot Sundhedsvidenskab, Fakultetssekretariat

Aim and overall content

The aim of the course is to prepare students for the coming Master of Science in Public Health, in specific the modules ‘Applied Biostatics’ and ‘Advanced Epidemiology’. This is done by giving the students a knowledge of philosophy of science, epidemiology and biostatistics as well as basic competences in reading and evaluating scientific articles and interpreting statistical results. 

Mandatory prerequisites

Relationship between the learning objectives, type of teaching and type of examination

After participating in the module, the student should be able to:

  • Describe the most commonly used study designs and frequently used epidemiological terms
  • Calculate basic epidemiological measurements
  • Evaluate the quality of scientific (quantitative) articles along with risk of bias and confounding
  • Describe basic biostatical concepts and when to use which
  • Analyse small datasets descriptively and look for associations
  • Interpret statistical results and evaluate significance

Learning Objectives - Knowledge

Through the module the student will gain knowledge about 

  • Descriptive and analytical epidemiology
  • Study designs: ecological study, cross sectional study, cohort study and case-control study. 
  • Measurements: incidence, prevalence, mortality, RR, OR and different kinds of standardizations + other measures. 
  • Concepts: Causality, bias (information bias, selection bias) and confounding

  • Descriptive biostatistics: variables, graphs, tables (frequency, two-by-two) 
  • Inferential statistics: t-tests, chi2-tests, correlation, ANOVA, linear regressions and logistic regressions. 
  • Concepts: Significance, p-values and confidence Interval

In the end the student must understand when to use which statistical method and why. 

Learning Objectives - Skills

Through the module the student will be able to:


  • Critically assess the quality of scientific studies
  • Evaluate whether scientific results are reliable and/or relevant to consider
  • Discuss strengths and weaknesses of scientific studies and suggest ways to improve quality


  • Conduct basic statistics (within same areas as described under knowledge) in the statistical programme STATA
  • Conduct both crude and adjusted models in STATA and check for possible confounding effects
  • Interpret basic output from statistics made in STATA and evaluate the significance of results

Learning Objectives - Competencies

Through the module the student will practice:

  • Communication (oral and written) of knowledge and skills
  • Collaboration with other student

The student will be able to:

  • Identify individual learning needs and structure individual learning in different learning environments

Teaching format and feedback

The course is online and consists of two parts. 

The first part (during July and August) of the course consists of electronical activities, each focusing on a specific topic within three main areas; Philosophy of Science, epidemiology and biostatistics. All activities use multiple learning activities such as readings, video and audio podcasts, wikis, hyperlinks for relevant webpages, knowledge tests and exercises. There are several possibilities for feedback through automatic knowledge test, exercises and personally through discussions forums where students can ask questions.

The second part (last week in August) consists of lectures, group discussions and practical exercises. This part summarizes what already has been learned and further adds aspects of in biostatistics analysis. Feedback is ensured using competitions during lectures, plenary discussions and by instructors in statistical exercises. 


Expected student workload in this course

The ECTS value of this course is 7,5 ECTS corresponding to a student workload of 210 hours.

In total there will be 23 teaching hours, leaving 187 hours for self-study and preparation. The student should expect on an average to spend 26-27 hours per week on this module.  

Examination regulations




Time of examination

The ordinary exam takes place immediately after the end of the module. 


Compulsory paper




Compulsory paper


Students write an individual evaluation of a scientific article. They are provided with five epidemiological articles, from which they can choose one to critically read and reflect on the used methods. To pass the exam a scientific reference style must be applied correctly and the length of the paper must be 3-5 pages (7200-12000 characters). Front page, table of contents, and references are not included in these numbers. The written assignment provides a short introduction to the field, describes the epidemiological design and methods along with the statistical methods used in the chosen article. In addition, the assignment should discuss the quality of the article based on what has been learned in the course and provide the student’s own conclusion on quality and relevance of the study. 

The articles will be available at the last teaching day and students have 73 hours to do the exam. 

All rules and regulations on written assignments must be followed incl. regulations on front pages. 

Form of examination

Compulsory assignment


Second examiner: None




Student Identification Card - Exam number


Danish, English


3-5 normal pages 

Examination aids

Not relevant for this type of exam.

Assignment handin

The assignment must be handed in at Digital Exam.

ECTS value


Additional information

The evaluation Pass is given if the student has shown adequate command of all aspects covered by the module objectives

External comment

The module is identical with 3964511. Used exam attempts will automatically be transferred