MAT500: Math Methods for Data Science, Fall 2016
| No. | Class | Material | Reading | Homework | Due |
| 1 | 08/29 | Introduction | Chapter 1,
Chapter 2.1, 2.2 |
Chapter 2: #1, 2(b,c); | 09/07 |
| 2 | 08/31 | Introduction to R | Chapter 2.3 | Chapter 2: #8 | 09/07 |
| 3 | 09/07 | Regression (linear + polynomial, basis functions, generalized additive models (GAM)) | Chapter 3.1.1, 3.2.1, Chapter 7.1, 7.3, 7.7 | Chapter 3: #4(a,c), 5, 6; Chapter 7: # 1, 3 | 09/14 |
| 4 | 09/12 | Lab for Regression | Chapter 3.6;
Chapter 7.8.1, 7.8.3 |
Chapter 3: #9(a,b,c); Chapter 7: #9(a,b); | 09/21 |
| 5 | 09/14 | Classification (logistic regression + linear discriminant analysis (LDA)) | Chapter 4.1 – 4.4 | Chapter 4: #1, 2, 6, 8, 9 | 09/21 |
| 6 | 09/19 | Cross validation | Chapter 5.1 | Chapter 5: #3 | 09/28 |
| 7 | 09/21 | Lab for Classification and Cross Validation | Chapter 4.6.1 – 4.6.3
Chapter 5.3 |
Chapter 4: #10(exclude f), 12;
Chapter 5: #5, 7, 8(a,b,c,d) |
09/28 |