Prof. Tony Wong (Sec 001) and Daniel Larremore (Sec 002)
Piazza -- Syllabus -- Office Hours
Notes:
- This schedule is a rough approximation and subject to change.
- Suggested reading under MIPS is from A Modern Introduction to Probability and Statistics by Dekking et al.
- Suggested reading under TS is from Think Stats by Downey.
- Homework is due on Moodle by 5pm on the dates listed.
Week | Date | nb | txt | Topic | Slides | Hmwk |
---|---|---|---|---|---|---|
1 | 8.27 | tutorial | Course & Computing Introduction | TW DL | ||
8.29 | 16.1-3 | EDA and Summary Statistics | TW DL | |||
8.31 | 15.1-2,16.4 | EDA and Data Visualization | TW DL | |||
2 | 9.03 | LABOR DAY - NO CLASS | ||||
9.05 | 2 | Introduction to Probability | TW DL | Quizlet01 due, hw1 posted | ||
9.07 | HowTo, nb01, nb02 | How to Python/EDA | ||||
3 | 9.10 | 2,3 | Data Wrangling/Visualization | |||
9.12 | 6 | Axioms and Theorems of Probability | ||||
9.14 | 3 | Stochastic Simulation | hw1 due | |||
4 | 9.17 | 4 | Bayes' Rule and Intro to PDFs | hw2 posted | ||
9.19 | 4,5 | Discrete RVs, PMFs, CMFs | ||||
9.21 | Discrete RVs Strike Back | |||||
5 | 9.24 | 5 | Return of the Discrete RVs | |||
9.26 | Continuous RVs Awaken, PDFs, CDFs | |||||
9.28 | 7 | The Last Continuous RVs | hw2 due | |||
6 | 10.01 | 7 | Expectation | hw3 posted | ||
10.03 | Variance | |||||
10.05 | 5.5 | More Expectation & Variance | ||||
7 | 10.08 | The Normal Distribution | ||||
10.10 | 14 | MIDTERM EXAM REVIEW | ||||
10.10 | The Central Limit Theorems | |||||
10.12 | MIDTERM EXAM (PM) | hw3 due | ||||
8 | 10.15 | 23,24 | The Central Limit Theorem and You | hw4 posted | ||
10.17 | 23,24 | Inference and CI Intro | ||||
10.19 | Two-Sample CIs | |||||
9 | 10.22 | 25,26 | CIs in the Wild | |||
10.24 | 25,26 | Hypothesis Testing Intro | ||||
10.26 | p-Values | hw4 due | ||||
10 | 10.29 | 27 | Practical HT & p | hw5 posted | ||
10.31 | Small-sample HT | |||||
11.02 | TBD | |||||
11 | 11.05 | 18,23.3 | Bootstrap Intro | |||
11.07 | Bootstrap and Small n HT | |||||
11.09 | 27 | OLS/SLR Regression | hw5 due | |||
12 | 11.12 | Inference in SLR | hw6 posted | |||
11.14 | Hands on inference in SLR | |||||
11.16 | MLR | |||||
13 | 11.19 | FALL BREAK - NO CLASS | ||||
11.21 | FALL BREAK - NO CLASS | |||||
11.23 | FALL BREAK - NO CLASS | |||||
14 | 11.26 | ISL Ch3 | Inference in MLR | practicum posted | ||
11.28 | ISL Ch3 | More MLR and ANOVA I | ||||
11.30 | ISL Ch3 | ANOVA II | hw6 due | |||
15 | 12.03 | ANOVA + Inference in MLR | ||||
12.05 | Logistic Regr. & Classification | |||||
12.07 | Logistic Regr. & Classification | |||||
16 | 12.10 | Solution Techniques and SGD | ||||
12.12 | FINAL EXAM REVIEW | practicum due | ||||
X | 12.XX | **FINAL EXAM ** |