# Theoretical Foundations of Data Science

DSC 40A, Summer 2023 at UC San Diego

### Rod Albuyeh

**Instructor**

ralbuyeh@ucsd.edu

**Lecture:** M/W 8:00am-10:50am; RWAC 0115

**Office Hours:** See Calendar tab; Zoom

Click the πΊ icons below to view lecture recording, and βοΈ for annotated notes.

### Week 1

- Mon Jul 3
**MOD 1**Learning from Data βοΈ πΊ**MOD 3**Mean Squared Error and Empirical Risk Minimization βοΈ- Tue Jul 4
**HW 1**Homework 1- Wed Jul 5
**MOD 5**Gradient Descent βοΈ- Fri Jul 7
**GW 1**Groupwork 1 πΊ

### Week 2

- Mon Jul 10
- Tue Jul 11
**HW 2**Homework 2- Wed Jul 12
**MOD 11**The Normal Equations βοΈ**MOD 12**Multiple Linear Regression and Feature Engineering βοΈ- Fri Jul 14
**GW 2**Groupwork 2 πΊ

### Week 3

- Mon Jul 17
**MOD 14**Clustering βοΈ**PRAC**Practice Exam- Wed Jul 19
**EXAM**Midterm- Fri Jul 21
**DISC**Special Topics: Logistic Regression and Regularization πΊ

### Week 4

- Mon Jul 24
**MOD 15**Foundations of Probability βοΈ πΊ**MOD 16**Conditional Probability, Sequences, and Permutations βοΈ- Tue Jul 25
**HW 3**Homework 3- Wed Jul 26
- Fri Jul 28
**GW 3**Groupwork 3

### Week 5

- Mon Jul 31
**MOD 21**Independence βοΈ πΊ**MOD 23**Naive Bayes βοΈ- Wed Aug 2
**MOD 24**More Naive Bayes βοΈ πΊ**MOD 25**Precision and Recall βοΈ**MOD 26**Summary and Conclusion βοΈ