Schedule

Course Map


Daily schedule

Note: This schedule may be updated as the module progresses. Due dates for the homework and project will not be changed.



Week Date Lesson Reading Slides Tutorials Video HW Project
Week 01 Wed, Oct 21 Welcome to Statistics and Data Science
Thur, Oct 22 Data basics
Fri, Oct 23 Statistics of illumination
Week 02 Mon, Oct 26 Categorical variable: barplot
Tue, Oct 27 Categorical variable: relationship
Wed, Oct 28 Numerical variable: histogram shape and summary
Thur, Oct 29 Numerical variable: robust statistics
Fir, Oct 30 Putting it all together
Week 03 Mon, Nov 02 Numerical variable: relationship
Tue, Nov 03 Election day (no class)
Wed, Nov 04 Linear model (last day to withdraw without a W)
Thur, Nov 05 Linear model interpretation
Fir, Nov 06 How useful is linear model
Week 04 Mon, Nov 09 The magic of randomness: causation
Tue, Nov 10 The magic of randomness: sampling
Wed, Nov 11 Sampling distribution
Thur, Nov 12 Normal model (No class meeting)
Fir, Nov 13 Central limit theorem
Week 05 Mon, Nov 16 Confidence interval
Tue, Nov 17 Interpretation of confidence interval
Wed, Nov 18 Student t model
Thur, Nov 19 Comparing two proportions/means
Fir, Nov 20 Bootstrapping method
Mon, Nov 23 Proposal presentation
Tue, Nov 24 Proposal presentation
Week 06 Mon, Nov 30 Hypothesis testing
Tue, Dec 01 P-value
Wed, Dec 02 Compute P-value with R
Thur, Dec 03 Decision making with hypothesis testing
Fir, Dec 04 Hypothesis testing examples
Week 07 Mon, Dec 07 Inference for regression
Tue, Dec 08 Inference for regression
Wed, Dec 09 Speaker and writer's workshop
Thur, Dec 10 Final presentation
Fir, Dec 11 Final presentation