Theoretical Foundations of Data Science I
DSC 40A, Summer Session II 2025 at UC San Diego 👋
Summer 2025
CENTR 222
TUE, THUR 5:00PM - 7:50PM
Please note that updates to the syllabus specific for the Summer 2025 Remote Session have been posted, check them out here! syllabus update link. Office Hours are listed under the Calendat tab.
For Office Hours, both in person and on zoom, check the Calendar tab on the left for links, times, and locations.
Week 1 - Modeling, Loss Functions, & Simple Linear Regression
📘 Read Chapter 1, Pages 1-12
📘 Read Chapter 2, Pages 1-7
📘 Read The Spread Notes
🍿 Watch Ahmed's Calc Review
- 🧑🏫 Tue Aug 5
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LEC 1 Introduction to Modeling (Live)
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HOPS 0 Linear Algebra Bootcamp (For the Soul)
problems -
HOPS 1 How to Prove it! (Look Over Independently)
problems solutions -
SUR Welcome Survey
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HW Homework 0 (Do Not Turn In! "practice HW")
problems template solutions - 🧑🏫 Thu Aug 7
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HOPS 2 Loss Functions & Risk (Watch Lecture 3 beforehand!)
problems recording solutions -
HOPS 3 MSE vs MAE vs Huber (Watch Lecture 4 beforehand!)
problems recording solutions -
HW Homework 1 Released
Welcome Survey
problems template solutions
Week 2 - Linear Algebra for Regression
🍿 Watch Matrix Multiplication Review Pt. 1
🍿 Watch Matrix Multiplication Review Pt. 2
- 🧑🏫 Tue Aug 12
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LEC 5 Simple Linear Regression, Continued
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HOPS 4 Simple OLS Regression (Watch Lecture 5 beforehand!)
problems recording solutions -
HOPS 5 Regression & Linear Algebra (Watch Lecture 6 beforehand!)
problems recording solutions -
DEMO Simple Linear Regression + Huber Loss
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DISC Groupwork 1 (Submit Handwritten, Individually! for Extra Credit Only)
problems
walkthrough solutions - 🧑🏫 Thu Aug 14
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HOPS 6 Regression in the Real World (Watch Lectures 7,8 beforehand!)
problems code solutions -
DEMO Demo 2 - Interaction Terms
Week 3 - Feature Engineering & Gradient Descent
📘 Read Chapter 1, Pages 16-17
📘 Read Notes on Convexity
- 🧑🏫 Tue Aug 19
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LEC 10 Feature Engineering, Gradient Descent
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HOPS 7 Feature Engineering + Normal Equations (Watch Lecture 10 beforehand!)
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DISC Groupwork 2 (Submit Handwritten, Individually! for Extra Credit Only)
problems recording solutions - 🧑🏫 Thu Aug 21
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Midterm Midterm Exam (Take Home)
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HOPS 8 Gradient Descent (Look Over Independently)
problems solutions -
DEMO Loss Surface Navigation + Regularization
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HW Homework 3 Released
Week 4 - Probability & Combinatorics
📘 Read Probability Roadmap
📘 Read Probability Textbook Chapters 1–2
- 🧑🏫 Tue Aug 26
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HOPS 9 Gradient Descent Again (Watch Lecture 11 beforehand!)
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HOPS 10 Conditional Probability (Watch Lecture 13 beforehand!)
problems -
DISC Groupwork 3 (Submit Handwritten, Individually! for Extra Credit Only)
problems solutions - 🧑🏫 Thu Aug 28
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LEC 15 Bayes' Theorem and Independence
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HOPS 11 Approaching Probability Problems (no associated lecture - good for context!)
problems -
HOPS 12 Combinatoric Problems (Watch Lecture 15 beforehand!)
problems -
DEMO Probability + Real World DS Practices
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HW Homework 4 Released
Week 5 - Naïve Bayes & Final Review
📘 Read Notes on Conditional Independence
- 🧑🏫 Tue Sep 2
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LEC 16 Independence and Conditional Independence
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HOPS 13 Bayes Theorm vs Frequentist (Watch Lecture 17 beforehand!)
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HOPS 14 Naïve Bayes (Watch Lecture 17 beforehand!)
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DEMO Demo 6 - Multi-armed Bandit
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DISC Groupwork 4 (Submit Handwritten, Individually! for Extra Credit Only)
problems solutions - 🧑🏫 Thu Sep 4
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LEC 19 Conclusion + Final Exam Review (Take Home + Oral Exam Component)
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DEMO Demo K-Means Clustering
- 🏠 Sat Sep 6
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EXAM Final Exam