Week | Date | Content | Notes & Assignments |
1 |
Mon 01/18 |
No school |
|
Tues 01/19 |
No school |
|
Wed 01/20 |
Lecture 1: Course introduction; fundamentals (section 1.1, 1.2) |
|
Thu 01/21 |
Discussion |
|
Fri 01/22 |
Lecture 2: Exact calculations, and bounds (section 1.3) |
|
2 |
Mon 01/25 |
Lecture 3: Intersections of several events (section 2.1, 2.2) |
|
Tues 01/26 |
Discussion |
|
Wed 01/27 |
Lecture 4: Updating chances: Bayes' rule (section 2.3, 2.4) |
|
Thu 01/28 |
Discussion |
|
Fri 01/29 |
Lecture 5: A closer look at independence (section 2.4, 2.5) |
|
3 |
Mon 02/01 |
Lecture 6: Random variables and their distributions: the binomial (section 3.1, 3.2, 3.3) |
|
Tues 02/02 |
Discussion |
|
Wed 02/03 |
Lecture 7: Simple random sampling (section 3.4, 3.5) |
|
Thu 02/04 |
Discussion |
|
Fri 02/05 |
Lecture 8: Exponential approximations (section 3.5, 4.1) |
|
4 |
Mon 02/08 |
Lecture 9: Waiting Time (section 4.2, 4.3) |
|
Tues 02/09 |
Discussion |
|
Wed 02/10 |
Lecture 10: Exponential approximation and Poisson Distribution (section 4.3, 4.4) |
|
Thu 02/11 |
Discussion |
|
Fri 02/12 |
Lecture 11: Poisson and Expectation (section 4.4, 5.1) |
|
5 |
Mon 02/15 |
No school |
|
Tues 02/16 |
Discussion |
|
Wed 02/17 |
Lecture 12: Expectation and Joint Distribution (section 5.1, 5.2, 5.3) |
|
Thu 02/18 |
Discussion |
|
Fri 02/19 |
Lecture 13: The power of Booleans: the method of indicators (section 5.3) |
|
6 |
Mon 02/22 |
Lecture 14: Updating revisited: conditional distribution (section 5.3, 5.4) |
|
Tues 02/23 |
Discussion |
|
Wed 02/24 |
Lecture 15: Unbiased biased estimator (section 5.4, 5.5) |
|
Thu 02/25 |
Discussion |
|
Fri 02/26 |
Lecture 16: Expectation by conditioning (section 5.5) |
|
7 |
Mon 03/01 |
Lecture 17: Examples: putting things together |
|
Tues 03/02 |
Discussion |
|
Wed 03/03 |
Midterm review |
|
Thu 03/04 |
Discussion |
|
Fri 03/05 |
Midterm |
|
8 |
Mon 03/08 |
Lecture 20: Measuring variability (section 6.1, 6.2) |
|
Tues 03/09 |
Discussion |
|
Wed 03/10 |
Lecture 21: Typical or unusual? Tails of distributions (section 6.3, 6.4) |
|
Thu 03/11 |
Discussion |
|
Fri 03/12 |
Lecture 22: Variability of a random sample sum (section 7.1) |
|
9 |
Mon 03/15 |
Lecture 23: The accuracy of a simple random sample (section 7.2) |
|
Tues 03/16 |
Discussion |
|
Wed 03/17 |
Lecture 24: The law of averages (section 7.3) |
|
Thu 03/18 |
Discussion |
|
Fri 03/19 |
Lecture 25: Central Limit Theorem (section 8.1, 8.2) |
|
10 |
Mon 03/22 |
No school |
|
Tues 03/23 |
No school |
|
Wed 03/24 |
No school |
|
Thu 03/25 |
No school |
|
Fri 03/26 |
No school |
|
11 |
Mon 03/29 |
Lecture 26: Normal approximations (section 8.3, 8.4) |
|
Tues 03/30 |
Discussion |
|
Wed 03/31 |
Lecture 27: Inference: testing hypotheses (section 9.1) |
|
Thu 04/01 |
Discussion |
|
Fri 04/02 |
Lecture 28: Inference: testing hypotheses (section 9.2) Continued |
|
12 |
Mon 04/05 |
Lecture 29: Confidence intervals continue (section 9.3, 9.4) |
|
Tues 04/06 |
Discussion |
|
Wed 04/07 |
Lecture 30: Probability density (section 10.1, 10.2) |
|
Thu 04/08 |
Discussion |
|
Fri 04/09 |
Lecture 31: The exponential distribution (section 10.3) |
|
13 |
Mon 04/12 |
Lecture 32: Some properties of the normal distribution (section 10.4) |
|
Tues 04/13 |
Discussion |
|
Wed 04/14 |
Lecture 33: Prediction: bias-variance (section 11.1) |
|
Thu 04/15 |
Discussion |
|
Fri 04/16 |
Lecture 34: The bias-variance tradeoff (section 11.2) |
|
14 |
Mon 04/19 |
Lecture 35: Correlation (section 11.3, 11.4) |
|
Tues 04/20 |
Discussion |
|
Wed 04/21 |
Lecture 36: The regression estimates, effect and fallacy (section 11.4, 11.5) |
|
Thu 04/22 |
Discussion |
|
Fri 04/23 |
Lecture 37: The regression model for data (section 12.1) |
|
15 |
Mon 04/26 |
Lecture 38: Inference for the true slope in the regression model (section 12.2, section 12.3) |
|
Tues 04/27 |
Discussion |
|
Wed 04/28 |
Lecture 39: Conclusion |
|
Thu 04/29 |
Discussion |
|
Fri 04/30 |
Lecture 40: Review |
|