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 - TBD
Section AB (9:30 – 10:20): ECE 042 - TBD
Section AC (10:30 – 11:20): ECE 031 - TBD
Section AD (11:30 – 12:20): MGH 242 - TBD
Section AE (12:30 – 1:20): MGH 242 - TBD
Section AF (1:30 – 2:20): THO 335 - TBD

Date	Content	Resources
1/8	Python, Probability Fundamentals, Linear Algebra
1/15	Data Normalization and Linear Algebra
1/22	Vector Calculus, Bias and Estimation
1/29	Train-Test Splitting, Generalized Least Squares Regression, MAP as Regularization
2/5	Midterm Prep (+ Cross Validation, Convexity)
2/12	Intro to PyTorch, SGD
2/19	Kernels, PyTorch
2/26	Neural Networks
3/5	PCA, SVD, Convolutional Neural Networks (including HW4 background)
3/12	Final Review, Next Steps