# Theoretical Foundations of Data Science I

DSC 40A, Spring 2024 at UC San Diego

### Suraj Rampure**he/him**

**he/him**

**Lecture(s)**: TuTh 12:30-1:50PM (A), 2-3:20PM (B), Center Hall 212

Jump to the current week Assignment Solutions

Take a look at the new Lecture FAQs page on the course website!

### Week 1 β Modeling and Loss Functions

π Read Note 1, Pages 1-12.

- Tue Apr 2
**SUR****Welcome Survey**- Thu Apr 4

### Week 2 β Simple Linear Regression

π Read the spread notes and Note 2, Pages 1-7.

### Week 3 β Regression and Linear Algebra

π Read Note 2, Pages 7-13 and take a look at the Week 2 Lecture FAQs.

### Week 4 β Multiple Linear Regression

π Read Note 2, Pages 10-19.

### Week 5 β Gradient Descent and Convexity

π Read Note 1, Pages 16-17.

- Mon Apr 29
**DISC 4**Groupwork 4- Tue Apr 30
**LEC 9**Gradient Descent and Convexity- Thu May 2
**LEC 10**Gradient Descent in Multiple Dimensions**HW 4**Homework 4

### Week 6 β Midterm Exam, Clustering

- Mon May 6
**DISC 5**Groupwork 5- Tue May 7
**EXAM****Midterm Exam (in person, during assigned lecture)**- Thu May 9
**LEC 11**Clustering**HW 5**Homework 5

### Week 7 β Probability

- Mon May 13
**DISC 6**Groupwork 6- Tue May 14
**LEC 12**Rules of Probability- Thu May 16
**LEC 13**Combinatorics**HW 6**Homework 6

### Week 8 β Combinatorics, Independence

- Mon May 20
**DISC 7**Groupwork 7- Tue May 21
**LEC 14**More Combinatorics- Thu May 23
**LEC 15**Independence and Bayes' Theorem**HW 7**Homework 7