| Week 1 |
Jan 25 |
Lecture 1: Course outline and Overview of Mini Projects: - Autonomous Vehicle (AV) Safety Analytics
- Healthcare analytics
- TBD
Overview of key data analytics and ML concepts. Slides |
|
|
Jan 27 |
Lecture 2: Probability Basics Overview, P-values, Hypothesis Testing, Fitting Distributions (KS test, KL divergence). Slides |
HW0 release |
| Week 2 |
Feb 1 |
Lecture 3: Mini-project 1 descriptions and task specifications; In-class Activity 1 (Probability concepts, hypothesis testing, jupyter notebook) ICA1,ICA1_sol, Slides |
MP1 release |
|
Feb 3 |
Lecture 4: Naïve Bayes, conditional independence Slides |
HW0 due, HW1 release |
| Week 3 |
Feb 8 |
Lecture 5: Bayesian Networks Slides |
MP1 checkpoint |
|
Feb 10 |
Lecture 6: Bayesian networks continue, In-class Activity 2 on Bayesian Networks ICA2, ICA2_sol, Slides. |
HW1 due |
|
Feb 12 |
— |
Discussion Section on Bayesian Network Slides |
| Week 4 |
Feb 15 |
Lecture 7: Clustering: K-means, GMM Expectation Maximization Slides |
|
|
Feb 17 |
Break day |
|
|
Feb 19 |
— |
Grad project propose ideas |
| Week 5 |
Feb 22 |
Lecture 8: Clustering: GMM, EM continue Slides |
MP1 final checkpoint due |
|
Feb 24 |
Lecture 9: Linear and Non-linear regression Slides |
|
|
Feb 26 |
— |
Grad project proposal due, Discussion Section on Clustering Slides |
| Week 6 |
Mar 1 |
Lecture 10: Mini-project 2: Introduction to Health-care Domain; Guest Lecture Slides |
MP2 release |
|
Mar 3 |
Lecture 11: Principal Component Analysis (PCA) Slides |
|
| Week 7 |
Mar 8 |
Lecture 12: In-class Activity 3 on PCA and Clustering Slides ICA3, ICA3_sol |
|
|
Mar 10 |
Lecture 13: Markov models, and hidden markov models (HMM) Slides |
MP2 checkpoint |
| Week 8 |
Mar 15 |
Lecture 14: In-class Activity for Midterm revision Slides Practice Exam Practice Exam Solution |
|
|
Mar 17 |
Lecture 15: Midterm Exam Questions PDF, Exam Questions DOCX |
|
|
Mar 19 |
— |
Grad project checkpoint 1 |
| Week 9 |
Mar 22 |
Lecture 16: No Class Day |
MP2 Task 1.1.d–1.1.f Supplement Materials file |
|
Mar 24 |
Break Day |
|
|
Mar 26 |
|
Discussion 3 Midterm Q2, Q4, Slides |
| Week 10 |
Mar 29 |
Lecture 17: HMM continue Slides |
MP2 final checkpoint due |
|
Mar 31 |
Lecture 18: In-class Activity 5 on HMM Slides ICA5 ICA5_sol |
|
| Week 11 |
Apr 5 |
Lecture 19: Factor Graphs, introduction to Mini-project 3 Slides |
MP3 release |
|
Apr 7 |
Lecture 20: Factor Graphs Continued Slides |
|
|
Apr 9 |
— |
Grad project checkpoint 2 |
| Week 12 |
Apr 12 |
Lecture 21: Belief Propagation Slides |
|
|
Apr 14 |
Lecture 22: In-class Activity 6 on Factor Graphs ICA6 ICA6_sol |
|
|
Apr 16 |
— |
MP3 checkpoint 1 |
| Week 13 |
Apr 19 |
Lecture 23: Sampling-based Methods Slides |
|
|
Apr 21 |
Lecture 24: Support Vector Machines Slides |
|
| Week 14 |
Apr 26 |
Lecture 25: Neural network Slides |
|
|
Apr 28 |
Lecture 26: Reinforcement Learning Slides |
|
|
Apr 30 |
Disucssion section example solving Slides |
|
| Week 15 |
May 3 |
Lecture 27: Grad Project Presentation Slides |
MP3 Submission |
|
May 5 |
Lecture 28: DT, RF and ICA7: Solved examples Slides, ICA7, ICA7_sol |
Grad project final submission |
|
May 6 |
Reading Day |
|
| Week 16 |
May 13 |
Final Exam (7:00 - 10:00 pm) |
|