Schedule

Tentative and may change based on how the class progresses

Week 1 (01/13/2026)

Introduction to Natural Language Processing and Language as Data , Logistics Slides

Week 2 (01/20/2026)

Linguistic Foundations for NLP Slides

Week 3 (01/27/2026)

Text Classification Slides

Week 4 (02/03/2026)

• Vector Space Model Slides
• Quiz 1

Week 5 (02/10/2026)

• Vector Space Model (cont’d) Slides
• VSM Evaluation
• Contextual embeddings

Week 6 (02/17/2026)

• N-Gram models Slides
• Markov Assumption

Week 7 (02/24/2026)

• Quiz 2 (Lecture 3, 4, and 5)
• POS tagging Slides
• Markov Assumption

Week 8 (03/03/2026)

• Quiz 3 (Lecture 6 and 7)
• Parsing Slides

03/10/2026 NO CLASS - SPRING BREAK

Week 9 (03/17/2026)

• Neural Networks Slides
• Feedforward Networks
• RNN
• Language Modeling using Neural Networks

Week 10 (03/24/2026)

• Quiz 4 (Lecture 8 and 9)
• Neural Networks 2 Slides
• Transformer Models & Attention
• Core NLP Tasks and how it evolved (Named Entity Recogntion, Coreference Resolution)

Week 11 (03/31/2026) -NO CLASS

Week 12 (04/07/2026)

• Guest lecturer with Dr. Robert Pless on CLIP
• XGBoost (Student presentation: Saad Mankarious) Slides

Week 13 (04/14/2026)

• Autoregressive models and LLMs Slides
• Bias
• AI model alignment

Week 14 (04/21/2026)

• Quiz 5. This will be a comprehensive quiz for the whole semester with special focus on week 10, 12, and 13 lectures.
• HW 2 is posted on Blackboard, due date 04/28/2026, 11:59 EST.
• Final project presentation (session 1, 3 teams), please check project page for more details

Week 14 (04/21/2026)

Final project presentation (session 2, 5 teams), please check project page for more details