Note: All assignments are due at the beginning of class. Homework problems will be assigned from the text, and in separate pdf files that can be accessed via the Problems links.

Note that ISL = An Introduction to Statistical Learning refers to the primary course text.

Assignment 1: Due Tuesday 14 January

Reading: ISL Ch.1 and 2.1-2.2

Assignment 2: Due *Thursday* 23 January

Reading: ISL Ch.10.1-10.2. Also, have a look at Chapter 1 of The Cauchy-Schwarz Master Class by J. Michael Steele for more about inequalities.

From ISL: Problems 2.2 and 2.4 (two real-life applications is enough)

Assignment 3: Due Tuesday 28 January

Reading: ISL 10.1-10.3

From ISL: None this week.

Assignment 4: Due Tuesday 4 February

Reading:

ISL 10.1-10.3 and Chapter 4 of Boyd and Vandenberghe

From ISL: TBA

Assignment 5: Due Tuesday 11 February [Final]

Reading: ISL 10.1-10.3 and Chapter 4 of Boyd and Vandenberghe

**Problems: 4.2 and 4.3 from Boyd and Vandenberghe**

Assignment 6: Due Tuesday 18 February

Reading: ISL 4.1-4.5

Assignment 7: Due Tuesday 25 February

Reading: ISL 4.1-4.5

Assignment 8: Due Tuesday 3 March

Suggested reading: Elements of Statistical Learning, have a look at the basic material in Section 4.1 and at the beginning of Sections 4.3 and 4.4. This is a more advanced treatment than that in class, so don’t worry if you don’t follow every detail.

Assignment 9: Due Tuesday 31 March. Upload in Gradescope by 11:30pm.

Reading: ISL 5.1-5.2, 3.1-3.5

Assignment 10: Due *Wednesday* 8 April. Upload in Gradescope by 11:30pm.

Reading: ISL 5.1-5.2, 3.1-3.5

Assignment 11: Due Tuesday 14 April. Upload in Gradescope by 11:30pm.

Reading: ISL 5.1-5.2, 3.1-3.5

Assignment 11: Due Tuesday 21 April. Upload in Gradescope by 11:30pm.

Reading: ISL 6.1-6.2, 6.4, 7.1, 9.1-9.3, 9.5*

Final Project. Due Friday 24 April.