# 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

Check out the new

🫂 Advicepage, which contains tips on how to succeed in DSC 40A from current tutors, based on their experiences in the course.

Also, note that there is no live lecture on Tuesday, May 28th, and instead, a pre-recorded lecture video will be posted on Tuesday morning.

### Week 1 – Modeling and Loss Functions

📘 Read Note 1, Pages 1-12.

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

### Week 2 – Simple Linear Regression

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

### Week 3 – Linear Algebra Review

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

### Week 4 – Regression and Linear Algebra

📘 Read Note 2, Pages 10-19.

### Week 5 – Multiple Linear Regression, Feature Engineering

📘 Read Note 1, Pages 16-17.

### Week 6 – Midterm Exam, Gradient Descent

📘 Optionally, see these notes on convexity.

### Week 7 – Probability

📘 Read Janine's probability roadmap and Chapters 1 and 2 of this probability textbook.

### Week 9 – Naïve Bayes

There will not be live lecture on Tuesday. Instead, lecture will be pre-recorded and posted on Tuesday morning. Along with Tuesday's lecture, read this note on conditional independence.

- Mon May 27
**DISC 8**Groupwork 7- Tue May 28
**LEC 16**Naïve Bayes- Thu May 30
**LEC 17**Naïve Bayes, Continued**HW 7**Homework 7