Schedule

Here’s your roadmap for the semester!

• This will be a standard lecture format class with some in class participation.
  • This will usually be the Tuesday class.
• This will be active coding workshop where we will work through a dataset (both as a class and in groups) to incorporate what we previously learned.
  • This will usually be the Thursday class.
• This will be an in-person tutorial where you will go through a previously assigned practice worksheet with a tutor.
• This will be a graded Moodle quiz that will take up a part of your continuous assessment.

Class schedule

Date	Topic	Slides	Coding	Tutorial	Assignment
Week 1	Foundations of Data
Week 2	Numerical data
Week 3	Categorical data analysis (i)
Week 4	Categorical data analysis (ii)
Week 4	Tutorial 1
Week 4	Moodle Quiz 1    (due Oct 16th @4pm)
Week 5	Categorical data analysis (iii)
	Study week
Week 6	Discrete probability distributions
Week 6	Tutorial 2
Week 6	Moodle Quiz 2    (due Nov 6th @4pm)
Tuesday Nov 10	Mid term exam
Week 8	Continous probability distributions
Week 8	Tutorial 3
Week 8	Moodle Quiz 3    (due Nov 20th @4pm)
Week 9	Single sample data
Week 10	Inference for means
Week 10	Tutorial 4
Week 10	Moodle Quiz 4    (due Dec 4th @4pm)
Week 11	Regression
Week 12	Revision
Thursday Jan 7th	Final exam