Section Resources and Schedule

Discussion sections are a chance to go over the material in more depth, ask questions, and work on problems together. They will be led by TAs for the course. Attendance is optional but highly encouraged.

List of section locations/TAs (all discussion sections meet weekly on Thursdays):

Section AA (8:30 – 9:20): BNS 203 — TA Shuyang Hou
Section AB (9:30 – 10:20): LOW 105 — TA Claudia Gyonjyan
Section AC (10:30 – 11:20): LOW 202 — TA Chuning Zhu
Section AD (11:30 – 12:20): ECE 003 — TA Hanqi Feng
Section AE (12:30 – 1:20): DEM 002 — TA Hanqi Feng

Date	Content	Resources
10/1	Python, Probability Fundamentals, Linear Algebra	Section notes, Solutions, Python intro (source, html, slide deck) Chuning's notes, Shuyang's notes
10/8	Data Normalization and Linear Algebra	Section notes, Solutions Shuyang's notes, Chuning's notes
10/15	Vector Calculus, Bias and Estimation	Section notes, Solutions Chuning's notes
10/22	Train-Test Splitting, Generalized Least Squares Regression, MAP as Regularization	Section notes, Solutions Chuning's notes
10/29	Midterm Prep (+ Cross Validation, Convexity)
11/5	Intro to PyTorch, SGD
11/12	Kernels, PyTorch
11/19	Neural Networks
12/3	PCA, SVD, Convolutional Neural Networks (including HW4 background)
12/10	Final Review, Next Steps