The What: Do I not know all the stats?

  • Week 1 Introductions: Chapter 1-2 Eamonn
  • Week 2 Introduction to GLMs Ch. 3-4 Eamonn
  • Week 3 Experimental design Ch. 5 Swidi
  • Week 4 Combining cont. and cat. Ch. 6 Swidi
  • Week 5 Interactions Ch. 7 Swidi
  • Week 6 Checking models I Ch. 8 Fabian
  • Week 7 Checking models II Ch. 9 Fabian
  • Week 8 Model selection Ch. 10 Christopher
  • Week 9 Generalized linear models Eamonn
  • Week 10 Logistic regression Christopher
  • Week 11 Mixed effects models Eamonn

The When: Structure of the course

  • 11 weeks
  • First week formative
  • Each week consists of
    1. Pre session reading (Asynchronous) (Suggestion Week 1: Monday)
    2. Online recorded slides (Asynchronous) (Suggestion Week 1: Monday)
    3. Tutor led review session (Synchronous) 50 minutes (Week 1: Tuesday)
    4. Computer practical (Asynchronous) Summative MCQ (4% - worth 40% in total) (Suggestion Week 1: Tuesday start)
    5. Blackboard discussion (Asynchronous)
    6. Drop in session for computer practicals (Synchronous) upto 50 minutes (Week 1: Thursday)
    7. Submit MCQs (Week 2: Monday 10 a.m.)
  • Write up of a complete analysis at end of course (worth 60%)