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 Fridays):

• Section AA (8:30-9:20): ECE 025 - Sankar Harilal
• Section AB (9:30-10:20): ECE 025 - Cynthia Dong
• Section AC (10:30-11:20): MGH 228 - Varun Ananth
• Section AD (11:30-12:20): ECE 025 - Emmanuel Mensah
• Section AE (12:30-1:20): ECE 025 - Yufei Zhang

Date	Content	Resources
9/26	Python, Probability Fundamentals, Linear Algebra	Section notes, Solutions, Python intro (source), html, viewable link, Python slide deck Varun's notes
10/3	Data Normalization and Linear Algebra	Section notes, Solutions, Varun's notes
10/10	Vector Calculus, Bias and Estimation	Section notes, Solutions, Varun's notes
10/17	Train-Test Splitting, Generalized Least Squares Regression, MAP as Regularization	Section notes, Solutions, Varun's notes
10/24	Midterm Prep (+ Cross Validation, Convexity)	Section notes, Solutions, K-fold demo notebook, Lasso and CV demo notebook, Varun's notes, Autumn 2024 Midterm
10/31	Intro to PyTorch, SGD	Section notes, Solutions, Varun's notes, PyTorch Introduction (file), Colab viewable link
11/7	Kernels, PyTorch	PyTorch NN notebook (file), Colab viewable link, Section notes Solutions, Varun's Notes
11/14	Neural Networks	Section notes, Solutions, Varun's Notes
11/21	PCA, SVD, Convolutional Neural Networks (including HW4 background)	Section slides, Section notes, Varun's Notes, Solutions Full Solutions with Extra Problems
12/5	Final Review, Next Steps