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): ECE 031 - Lillian Li
Section AB (9:30 – 10:20): ECE 042 - Lillian Li
Section AC (10:30 – 11:20): ECE 031 - Emmanuel Mensah
Section AD (11:30 – 12:20): MGH 242 - Yufei Zhang
Section AE (12:30 – 1:20): MGH 242 - Sankar Harilal
Section AF (1:30 – 2:20): THO 335 - Vishwas Sathish

Date	Content	Resources
1/8	Python, Probability Fundamentals, Linear Algebra	Section notes, Solutions, Python intro (source), html, viewable link, Python slide deck Yufei's notes, Varun's notes
1/15	Data Normalization and Linear Algebra	Section notes, Solutions Yufei's notes, Varun's notes
1/22	Vector Calculus, Bias and Estimation	Section notes, Solutions Yufei's notes, Varun's notes
1/29	Train-Test Splitting, Generalized Least Squares Regression, MAP as Regularization	Section notes, Solutions Varun's notes
2/5	Midterm Prep (+ Cross Validation, Convexity)	Section notes, Solutions, K-fold demo notebook, Lasso and CV demo notebook Varun's notes Autumn 2024 Midterm
2/12	Intro to PyTorch, SGD	Section notes, Solutions Varun's notes PyTorch Introduction (file), Colab viewable link
2/19	Kernels, PyTorch	PyTorch NN notebook (file), Colab viewable link, Section notes, Solutions Yufei's notes, Varun's Notes
2/26	Neural Networks	Section notes,
3/5	PCA, SVD, Convolutional Neural Networks (including HW4 background)
3/12	Final Review, Next Steps	Varun's Notes, Autumn 2024 Final, Solutions -->