Translation of the Swedish course syllabus 
Statistics, 7.5 credits
(Statistik, 7,5 högskolepoäng)
Course code: 1034MA
Subject area: Mathematic Statistics
Main field of study: Environmental Science
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 Natural Sciences, Technology and Environmental Studies at Södertörn University on 2018-04-23 according to the stipulations in the Higher Education Ordinance.

2. Entry requirements

The equivalent of English B and a Bachelor's degree including 90 credits in Environmental Science, Bioscience, Sociology, International Health, Media Communcation Studies or the equivalent

3. Learning outcomes

Upon completion of the course, the student is able to:
  • discern and discuss basic statistical concepts: independent observations, ordinary least squares, maximum likelihood, generalised linear models, analysis of variance/deviance and error distributions
  • explain the importance of independent observations in sampling data for statistical analysis
  • describe the ideas of significance testing by comparing variance explained to random variance
  • independently report standard descriptive measurements and construct and interpret generalised linear models with normal and binomial error distributions
  • explain the limitations of statistical results; are they globally valid or only valid for the specific experimental set-ups, to which population do they refer, how could confounding (not measured) variables explain the results.

  • 4. Course content, modules and examinations

    Statistics used in Environmental Science is based on general statistics. The course encompasses the most common statistical methods and deals with both parametric and non-parametric statistical models. Participants study models for continuous response variables using normal distribution of residuals, as well as models for categorical responses with binomial (or Bernoulli) distribution of error terms.

    • Statistics, 7,5 credits
      (Statistik, 7.5 högskolepoäng)

    • 1001, Statistics, 7,5 credits
      (Statistik, 7.5 högskolepoäng)
      Grades permitted: A/B/C/D/E/F

    5. Course design

    Lectures, seminars and computer-aided statistical training

    6. Examination format

    The examination comprises planning, performing and reporting computer-based statistical analyses from previously unknown data sets. Absence from seminars must be complemented by alternative assignments. Absence from more than 50% of the seminars requires that the student takes the course again. Complementary tasks must be handed in within one year of course completion.
     The grading criteria are distributed prior to the start of a course or module.

    If a student has a certificate for compensatory support from Södertörn University, the examiner may decide on an adapted examination or alternative examination form in accordance with Södertörn University's regulations.

    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 2019VT 20202019-06-03Programrådet för master i miljövetenskap
    HT 20202020-05-14Programrådet för Master´s Programme in Environmental Science

    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 1016MA, with the difference that the grade system has been updated. The syllabus is determined through special order (dnr: 1776-2.1.1-2018).