Translation of the Swedish course syllabus 
Statistical Data Analysis in Infectious Disease Control, 7.5 credits
(Statistisk dataanalys för kontroll av infektionssjukdomar, 7,5 högskolepoäng)
Course code: 1035MA
Subject area: Mathematic Statistics
Main field of study: No main subject
Academic school: School of Natural Sciences, Technology and Environmental Studies
Disciplinary domain: Natural Sciences 100%
Grading scale: AF
Education cycle: Second-cycle (Master)
Progressive specialisation: A1N (Second cycle. Entry requirements: completed first-cycle course/s)
Language of instruction: English
Valid from: HT 2018 (autumn semester)

1. Validation

This course syllabus was validated by the Faculty Board for Science at Södertörn University on 2018-04-23 according to the stipulations in the Higher Education Ordinance.

2. Entry requirements

Bachelor's degree and English B or equivalent.

3. Learning outcomes

Upon completion of the course, the student will have acqiured:

  • knowledge of basic statistical concepts: independent observations, maximum likelihood, linear model, analysis of variance/deviance, error distributions.

  • an understanding of the importance of independent observations in sampling data for analysis.

  • an understanding of the ideas of significance testing by comparing variance explained to random variance.

  • the ability to independently report standard descriptive measurements and construct and interpret linear models with normal and binomial error distributions.

  • an understanding of the limitations of statistical results; are they
    globally valid or only valid for the specific experimental set-up, to
    which population do they refer, how could confounding (not measured)
    variables explain the results?

  • 4. Course content, modules and examinations

    The statistics used in epidemiology are based on general statistics. Epidemiological studies are often based on cases where the response variable is infection or not infection. Statistical models for proportions, with a binomial (or Bernoulli) error distribution (logistic regression) are suited for this kind of studies and will be a central issue. Some specific epidemiological examples and methods will be used.

    • Statistical Data Analysis in Infectious Disease Control, 7,5 credits
      (Statistisk dataanalys för kontroll av infektionssjukdomar, 7.5 högskolepoäng)

    • 1001, Statistical Data Analysis in Infectious Disease Control, 7,5 credits
      (Statistisk dataanalys för kontroll av infektionssjukdomar, 7.5 högskolepoäng)
      Grades permitted: A/B/C/D/E/F

    5. Course design

    Lectures and seminars, but the main activity will be computer-aided statistical training.

    6. Examination format

    The examination will be planning, performing and reporting computer-based statistical analyses from previously unknown data sets.
     The grading criteria are distributed prior to the start of a course or module.

    7. Reading list

    If there are changes in the reading list between semesters, a new list for the next semester is to be validated no later than July 15 and December 15 respectively.
    Valid from Valid to Decision date Decision board
    HT 2018VT 20192018-05-17Programrådet för Master´s Programme in Environmental Science
    HT 20192019-06-03Programrådet för master i miljövetenskap

    8. Restrictions on accreditation

    The course may not be accredited as part of a degree if the contents are partly or wholly the same as a course previously taken in Sweden or elsewhere.

    9. Other stipulations
    Following the Vice-Chancellors decision on internationalization and grade scale at Södertörn University College (dnr: 1148-1.1.2-2018), this syllabus replaces the syllabus with course code 1003MA, with the difference that the grade system has been updated. The syllabus is determined through special order (dnr: 1776-2.1.1-2018).