Class date |
Chapter |
Topic |
Problems |
Lab Assignments and example Matlab code |
Jan 24 |
|
Intro Matlab, questions, answers | ||
Jan 27 |
2 | Outcomes, events, and probability |
D2.1, D2.2, D2.4, D2.9 (due Jan 29)
|
Birthday Problem Descr and Matlab code |
Jan 31 |
3 |
D3.4, D3.9, D3.10, D3.16, D3.18 (due Feb 7) |
Newton-Pepys problem | |
Feb 3 |
4 |
snow |
|
|
Feb 7 |
4 |
D4.2, D4.3, D4.4, D4.7, D4.8, D4.11 (due Feb 12) |
BinomialEx, geom_pmf | |
Feb 10 |
5 |
D5.1, D5.3, D5.5 (due Feb. 12) |
M4.1 (lab), M4.2 (due Feb. 22) |
|
Feb 14 |
snow |
|
||
Feb 17 |
|
D5.11 (due Feb. 19), homework in Naive Bayes Classifier (due Feb. 26) |
NaiveBayesClass | |
Feb 21 |
6 |
D6.1, D6.3, D6.6, D6.9 (due Feb. 26) |
Gaussian Ex, sampling Ex | |
Feb 24 |
|
Review |
|
|
Feb 28 |
6, 7 |
D7.1, D7.2, D7.9, D7.13 (due Mar. 12) |
M6.1 (lab), M6.2 (due Mar. 29) |
|
Mar 10 |
9 |
Joint distributions and independence |
D9.1, D9.3, D9.4, D9.6, D9.7 (due Mar. 12) |
M7.1 (lab) |
Mar 14 |
9 |
Joint distributions and independence Double Integrals 3, Double Integrals 4 |
D9.10 (due Mar. 19) | |
Mar 17 |
|
Review |
|
|
Mar 21 | Midterm exam | |||
Mar 24 |
10 |
|
D10.1, D10.5, D10.8, D10.11, D10.15 (due Mar. 26) | M10.1 (due Apr. 5) |
Mar 28 |
|
Midterm exam discussion |
|
|
Mar 31 |
12 |
D12.2, D12.3, D12.4, D12.5 (due Apr. 2) |
||
Apr 4 |
13 |
D13.1, D13.5 (due Apr. 9) |
||
Apr 7 |
14 |
The central limit theorem | D14.2 (due Apr. 9) | |
Apr 11 |
15 |
Data analysis: graphical summaries |
D15.1, D15.2, D15.5, D15.7 (due Apr. 16) |
Kernel Density Ex M15 (due Apr. 19) |
Apr 14 |
16, 17 |
Data analysis:
numerical summaries Basic statistical models |
D17.1, D17.2, D17.4, D17.5 (due Apr. 23) |
M16 (lab) |
Apr 18 |
19, 20 |
Unbiased estimators Efficiency and mean squared error |
D19.2, D19.3, D20.5, D20.6 (due Apr. 23) |
|
Apr 21 |
21 |
Maximum likelihood ML Video |
|
|
Apr 25 |
21 | Maximum likelihood |
D21.2, D21.7, D21.9 (due Apr. 30) |
|
Apr 28 |
22 |
The method of least squares Khan Video1, Khan Video2 |
D22.2, D22.3, D22.4, D22.8 (due Apr. 30) |
|
May 2 | Review | |||
May 5 |
|
Review |
|
|
May 12 |
|
Final Exam |
Time: 10:30-12:30 |
in TL 401A |
D: Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E., A Modern Introduction to Probability and Statistics. Second Edition. Springer 2007.
B: Michael Baron. Probability and Statistics for Computer Scientists, second edition, CRC, 2014.
M: Matlab assignment from Lab Assignments