Today

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

BS2004: Contemporary Techniques in Biological Data Analysis

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

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 How: Flipped teaching

Flipped teaching

The When: Structure of the course

• 11 weeks
• 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 (4.5 % - worth 50% 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 50%) https://rpubs.com/eamonnmallon/1022650

Tips for getting the most out of the course

• 20 mins of recordings should take about 20 mins to watch (I know right!)
• Learn how to take notes
  • https://uniofleicester.sharepoint.com/sites/academic-skills-online/SitePages/Study.aspx
  • https://lsc.cornell.edu/how-to-study/taking-notes/cornell-note-taking-system/
• Use scripts
• Use the discussion board
• Come to the review session with at least one question/comment
• Start the practical early, so you can use the help session on thursday for maximum value.