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 TBD
Section AB (9:30 – 10:20): LOW 105 — TA TBD
Section AC (10:30 – 11:20): LOW 202 — TA TBD
Section AD (11:30 – 12:20): ECE 003 — TA TBD
Section AE (12:30 – 1:20): DEM 002 — TA TBD

Date	Content	Resources
10/1	Python, Probability Fundamentals, Linear Algebra
10/8	Data Normalization and Linear Algebra
10/15	Vector Calculus, Bias and Estimation
10/22	Train-Test Splitting, Generalized Least Squares Regression, MAP as Regularization
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