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Theoretical Foundations of Data Science I

DSC 40A, Fall 2025 at UC San Diego

Gal Mishne
she/her/hers

gmishne@ucsd.edu

Lecture(s): MWF 1:00-1:50PM Center Hall 119

Jump to the current week

Week 0 - Introduction to Modeling
📕 Course Notes Section 1.1

Fri Sep 26

LEC 1 Introduction to Modeling
                       

SUR Welcome Survey

Week 1 - Loss Functions
📕 Course Notes Section 1.2, xkcd.

Mon Sep 29

LEC 2 Empirical Risk Minimization
                       

DISC 1 Groupwork 1
                  

DISC 1 Groupwork 1 Solutions
                  

Wed Oct 1

LEC 3 Empirical Risk Minimization
                       

READ Further Reading: Section 1.3, Vector-valued features and targets
                  

Fri Oct 3

LEC 4 Comparing loss functions
                       

Week 2 – Simple Linear Regression
📕 Course Notes Section 2.1, xkcd.

Mon Oct 6

LEC 5 Prediction with features
                       

DISC 2 Groupwork 2
                  

DISC 2 Groupwork 2 Solutions
                  

Wed Oct 8

LEC 6 Simple linear regression
                       

Fri Oct 10

LEC 7 Simple linear regression and correlation
                       

HW 1 due Homework 1
                  

Week 3 – Linear Algebra: Dot products and projections
🎥 Watch 3blue1brown, 📕 Course Notes Appendix B, xkcd.

Mon Oct 13

LEC 8 Linear algebra - vectors and dot product
                       

DISC 3 Groupwork 3
                  

Wed Oct 15

LEC 9 Linear algebra - span and projections     

Fri Oct 17

LEC 10 Linear algebra - matrices and projections     

HW 2 due Homework 2
                  

Week 4 - Multiple Linear regression and linear algebra
📘 Read Course Notes Section 2.3 B, xkcd.

Mon Oct 20

LEC 11 Regression and Linear algebra
                       

DISC 4 Groupwork 4
                  

Fri Oct 24

HW 3 due Homework 3