Statistics, Spring 2022

Course Calendar
Lecture Topic(s) Reference Dates Homework / Remarks
1 Course overview, Introduction FPP Jan 10
2 Design of experiments, Descriptive statistics FPP Jan 17
3 Descriptive statistics FPP Jan 21 Problem Set 1
4 Probability, counting Wasserman, FPP Jan 24
5 Conditional probability, Independence Wasserman, FPP Jan 28 Problem Set 2
6 Bayes theorem, applications Wasserman, FPP Jan 31
7 Random variables, Common discrete and continuous random variables Wasserman, FPP Feb 4 Problem Set 3
8 Expectation, Moment generating functions Wasserman Feb 7
9 Multivariate distributions, marginals, memorylessness, problem session Wasserman Feb 11 Problem Set 4
10 Probability inequalities, convergence of random variables Wasserman Feb 14
11 WLLN, CLT Wasserman Feb 18 Problem Set 5
12 Correlation FPP Feb 21
13 Regression FPP Feb 25 Quiz 1
14 Regression, Problems FPP Feb 28 Problem Set 6
15 Mid Term examination TBA
16 Sampling, Errors in sampling FPP Mar 7
17 Confidence intervals FPP, Wasserman Mar 11 Problem Set 7
18 Chance models FPP Mar 14
19 Hypothesis testing, t-test Wasserman, FPP Mar 21
20 Tests for averages Wasserman, FPP Mar 25
21 Chi-square test FPP Mar 28 Problem Set 8
22 Markov chains Wasserman Apr 1
23 Monte Carlo Simulation Wasserman Apr 4
24 Statistical learning JWHT Apr 8
25 Linear regression, Multiple linear regression JWHT Apr 11
26 Perceptron, Logistic regression JWHT Apr 15 Project due, Quiz 2
27 LDA, KNN JWHT Apr 18
Final examination week start Apr 22