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Theoretical Foundations of Data Science I

DSC 40A, Fall 2024 at UC San Diego

Gal Mishne
he/him/his

nkheterpal@ucsd.edu

Lecture(s): MTuWTh 12:30-2PM WLH 2208

Jump to the current week Assignment Solutions

Week 1 – Modeling, Loss Functions, and Simple Linear Regression
📘 Read Note 1, Pages 1-12, the spread notes, and Note 2, Pages 1-7.

Mon Aug 5

LEC 1 Introduction to Modeling
                       

SUR Welcome Survey

Tue Aug 6

LEC 2 Empirical Risk Minimization
                       

EX HW Example Homework (not due!)
                       

Wed Aug 7

LEC 3 Comparing Loss Functions
                       

DISC 1 Groupwork 1
                     

Thu Aug 8

LEC 4 Simple Linear Regression
                           

Fri Aug 9

HW 1 Homework 1
                     

Week 2 – Linear Algebra and Regression
📘 Read Note 2, Pages 7-13, the Week 2 Lecture FAQs, and Note 2, Pages 10-19.

Mon Aug 12

LEC 5 Simple Linear Regression, Continued
                         

Tue Aug 13

LEC 6 Dot Products and Projections
                       

HW 2 Homework 2
                     

Wed Aug 14

LEC 7 Orthogonal Projections
                       

DISC 2 Groupwork 2
                     

Thu Aug 15

LEC 8 Regression and Linear Algebra
                         

Fri Aug 16

HW 3 Homework 3
                     

Week 3 – Multiple Linear Regression, Feature Engineering
📘 Read Note 1, Pages 16-17. Optionally, see these notes on convexity.

Mon Aug 19

LEC 9 Multiple Linear Regression and Feature Engineering
                         

Tue Aug 20

LEC 10 Feature Engineering, Gradient Descent
                           

HW 4 Homework 4
                     

Wed Aug 21

LEC 11 Gradient Descent, Continued
                         

DISC 3 Groupwork 3
                     

DISC 3 Midterm Exam Review

Thu Aug 22

EXAM Midterm Exam (in person, during lecture)

Week 4 – Probability, Combinatorics, and Independence
📘 Read Janine's probability roadmap and Chapters 1 and 2 of this probability textbook.

Mon Aug 26

LEC 12 Foundations of Probability
                       

Tue Aug 27

LEC 13 Combinatorics
                           

HW 5 Homework 5
                     

Wed Aug 28

LEC 14 More Combinatorics Examples
                       

DISC 4 Groupwork 4
                     

Thu Aug 29

LEC 15 Bayes' Theorem and Independence
                       

Fri Aug 30

HW 6 Homework 6
                     

Week 5 – Conditional Independence, Naïve Bayes, and Classification
📘 Read this note on conditional independence.

Mon Sep 2

Holiday Labor Day — no class

Tue Sep 3

LEC 16 Independence and Conditional Independence
                       

HW 7 Homework 7
                     

Wed Sep 4

LEC 17 Naïve Bayes
                       

DISC 5 Groupwork 5
                     

Thu Sep 5

LEC 18 Review and Final Thoughts
                       

HW 8 Homework 8
                     

Fri Sep 6

SUR End-of-Quarter Survey + SETs (due 8AM)

EXAM Final Exam (11:30AM-2:30PM, in person, WLH 2113)