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Theoretical Foundations of Data Science I 🧠

DSC 40A, Fall 2021 at UC San Diego

Suraj Rampure

Suraj Rampure

he/him

rampure@ucsd.edu

Lecture: Tu/Th 11AM-12:30PM, Center 109

Lecture Recordings Assignment Solutions

Week 0 – Welcome to DSC 40A! 👋

Sep 23

LEC 1 Introduction, Learning From Data

C1, P1-5

Week 4 – Midterm

Oct 18

HW 3 Simple Linear Regression (due 10/18)

SRV 3 Survey 3 (due 10/18)

Oct 19

LEC 8 Regression and Linear Algebra (code)

C2, P9-13

REV Midterm Review Session (5-8PM, PCYNH 109)

Oct 21

Exam Midterm (in lecture)

Week 5 – Feature Engineering

Oct 26

LEC 9 Feature Engineering

Oct 28

LEC 10 Feature Engineering, Taxonomy of Machine Learning

Week 6 – Clustering, Probability

Nov 2

LEC 11 k-Means Clustering

Nov 4

LEC 12 Introduction to Probability; Set Theory

Week 7 – Combinatorics

Nov 9

LEC 13 Combinatorics

Nov 11

N/A (Veteran’s Day)

Week 8 – More Probability

Nov 16

LEC 14 Conditional Probability

Nov 18

LEC 15 Independence

Week 9 – Naïve Bayes

Nov 23

LEC 16 Naïve Bayes

Nov 25

N/A (Thanksgiving)

Week 10 – Conclusion

Nov 30

LEC 17 Naive Bayes

Dec 2

LEC 18 Review, Conclusion

Week 11

Dec 8

Exam Final Exam (11:30-2:30)