Class schedule

This schedule is tentative and subject to change. Please check back here often.

Setting up the environment
Note: We do not need this for HW1 and 2, but please go through it and set up the environment on your system, as we will need it for later HWs.

Lecture slides and handouts will be available in this folder. Additional reading and video materials will be posted on the class discord.

Date	Lecture topic	Slides / Handouts	Homework
1/21	Week 1: Intro to NLP	Lecture 1	Homework #1: Sentiment Analysis with Logistic Regression Homework #1 quiz will be on 2/4.
1/28	Week 2: Lexical embeddings	Lecture 2	Homework #2: Word2vec Homework #2 quiz will be on 2/11.
2/4	Week 3: Neural networks 101	Lecture 3
2/11	Week 4: Neural networks 301 (backprop, activations, w initializations, normalization and optimizers)	Lecture 4	Homework #3: Neural Networks from Scratch Homework #3 quiz will be on 2/18.
2/18	Week 5: Transformer Architecture	Lecture 5	Homework #4: Pytorch Implementation Homework #4 quiz will be on 2/25.
2/25	Week 6: Sequence-to-sequence models	Lecture 6	Homework #5: Pre-training Language Model Homework #5 quiz will be on 3/4.
3/4	Week 7: Transfer learning in NLP	Lecture 7	Homework #6: Machine Translation Homework #6 quiz will be on 3/18.
3/11	NO CLASS -- Spring recess	--	--
3/18	Week 8: Midterm Exam	no lecture
3/25	Week 9: Pre-training variants; Model alignment / Preference optimization	Lecture 9
4/1	Week 10: Position Emb. and LLM Inference	Lecture 10	Homework #7: BERT Fine Tuning Homework #7 quiz will be on 4/8.
4/8	Week 11: Long Context
4/15	Week 12: TBD
4/22	Week 13: Paper Presentations
4/29	Week 14: Paper Presentations
5/6	Final Exam