• First half, introduction to the course
• Questions about course, stats from last year etc.

• The What: Do I not know all the stats?
• The How: Flipped teaching
• The When: Structure of the course

• Week 1 Introductions: Chapter 1-2 Eamonn
• Week 2 Introduction to GLMs Ch. 3-4 Eamonn
• Week 3 Experimental design Ch. 5 Swidi week 28
• Week 4 Combining cont. and cat. Ch. 6 Swidi 29
• Week 5 Interactions Ch. 7 Swidi 30
• Week 6 Checking models I Ch. 8 Eamonn
• Week 7 Checking models II Ch. 9 Eamonn
• Week 8 Model selection Ch. 10 Christopher week 33
• Week 9 Generalized linear models Eamonn
• Week 10 Logistic regression Christopher week 35
• Week 11 Mixed effects models Eamonn

Flipped teaching

• 11 weeks
• Each week consists of
  1. Pre session reading (Asynchronous) (Suggestion Week 0: Thursday)
  2. Online recorded slides (Asynchronous) (Suggestion Week 0: Friday)
  3. Tutor led review session (Synchronous) 50 minutes (Week 1: Tuesday)
  4. Computer practical (Asynchronous) Summative MCQ (worth 50% in total) (Suggestion Week 1: Monday 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 8 a.m.)
  8. Complete example write up for each computer session (Asynchronous)
     
• Write up of a complete analysis (worth 50%)