Theoretical Foundations of Data Science I
DSC 40A, Fall 2024 at UC San Diego
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
- Wed Aug 7
LEC 3 Comparing Loss Functions
- Thu Aug 8
- Fri Aug 9
Week 2 – Linear Algebra and Regression
📘 Read Note 2, Pages 7-13, the Week 2 Lecture FAQs, and Note 2, Pages 10-19.
Week 3 – Multiple Linear Regression, Feature Engineering
📘 Read Note 1, Pages 16-17. Optionally, see these notes on convexity.
Week 4 – Probability, Combinatorics, and Independence
📘 Read Janine's probability roadmap and Chapters 1 and 2 of this probability textbook.
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
- Wed Sep 4
- Thu Sep 5
LEC 18 Review and Final Thoughts
- Fri Sep 6
SUR End-of-Quarter Survey + SETs (due 8AM)
EXAM Final Exam (11:30AM-2:30PM, in person, WLH 2113)