Assignments are listed by their due date.
| Week | Dates | Day and Topics | Assignments | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Sep. 4-5 | Day 1: Introduction to course
Intelligence: What is it, where do we find it? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Day 2: Constraint Satisfaction
Backtracking search | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1 | Sep. 8-12 | Day 3: Intelligence: How do we test it?
AI landscape, future directions of AI | BC: Computing Machinery and Intelligence summary | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Day 4: Introduction to Neural Networks, Perceptron | BC: Constraint
Satisfaction/ Sudoku assignment Day 5: Feed-forward networks, backpropagation
| Day 6: Deep blue discussion, brute force
solutions, pattern matching in chess
| BC: Deep Blue summary
| 2
| Sep. 15-19
| Day 7: Data set selection, OOD errors, GIGO,
Introduction to NN assignment
| Day 8: Discussion of paper, Introduction to
NN assignment cont'd, Data curation
| BC: Great A.I. Awakening summary
| Day 9: Ethics: Bias, Copyright issues, Hallucinations
| Day 10: Introduction to Reinforcement Learning
| Value Iteration BC: Cutting-edge
work proposal
| 3
| Sep. 22-26
| Day 11: Reinforcement Learning:
| Markov Processes, Policy Iteration Day 12: Reinforcement Learning: Q-Learning
| Monte Carlo Tree search Day 13: Catch-up on RL
| 23:59: FFNet assignment
| Day 14: Quiz 1
| 4
| Sep. 29-Oct. 3
| Day 15: CNNs
| Day 16: CNNs continued, Introduction to
CNN Assignment
| Day 17: AlphaGoZero discussion, More on
CNN Assignment
| BC: AlphaGoZero summary
| Day 18: Knowledge representation:
Embeddings, Paraphrases, Ontologies, Common sense
| 5
| Oct. 6-7
| Day 19: NLP, early work in NLP
| Day 20: NLP and RNNs
| 6
| Oct. 13-17
| Day 21: AI at the pinnacle of science:
| Last year's Nobel prizes RNNs cont'd Discussion of "What kind of Mind does ChatGPT have?" paper BC: What kind of Mind does ChatGPT have?
summary
| Day 22: Hopfield Networks
| 23:59: FFnet with Relu and Softmax
| Day 23: LSTMs, Encoder-Decoder, Attention
| Day 24: Introduction to Transformers
| 7
| Oct. 20-24
| Day 25: Quiz 2
| Day 26: Transformers continued
| 23:59: CNN - Milestone 1
| Day 27: Backpropagation in CNNs
| Day 28: Cutting-edge work presentations
| 8
| Oct. 27-31
| Day 29: Transformers cont'd
| Discussion of Attention paper, BC: Attention summary
| Day 30: Training LLMs
| Day 31: Reasoning in LLMs, Research
Directions for next breakthrough
| Day 32: Cutting-edge work presentations
| 9
| Nov. 3-7
| Day 33: Human Computer Interaction
| Day 34: Impact of AI
presentations
| 23:59: CNN - Milestone 2
| Day 35: Impact of AI
presentations
| Day 36: Cutting-edge work presentations
| 10
| Nov. 10-14
| Day 37: Discussion of Dreyfus paper, Pattern
recognition, Superintelligence, AGI, High-level machine intelligence
| BC: Alchemy and AI summary
| Day 38: Quiz 3
| Day 39: Impact of AI presentations
| Day 40: Cutting-edge work presentations
| Extra credit: Wed., Nov. 19, 23:59: CNN/FFN experiment
| |