This schedule is preliminary and subject to change. Please check back often.
Please watch the Udacity lectures and read the book before class. These are the foundations of the class. A quiz question will be given at the beginning of each class to make sure you have understood the material and to get your mind ready for more advanced topics in lecture.
| Date | Foundations | Assignment | Lecture Time | Projects |
|---|---|---|---|---|
| Tuesday August 19 | Chapter 1+2; Udacity Unit 1 | Introduction | ||
| Thursday August 21 | Chapter 3; Udacity Unit 2 | Uniformed search | ||
| Tuesday August 26 | Chapter 3; Udacity Unit 2 | Three cities problem, Informed Search, Reach for A* (slides, Goldberg paper, Gutman paper) | ||
| Thursday August 28 | Chapter 3; Udacity Unit 2 | Project proposals; Reach for A* (slides, paper1, paper2) | ||
| Tuesday September 2 | Chapter 13; Udacity Unit 3 | Probability and Information Theory | ||
| Thursday September 4 | Chapter 13; Udacity Unit 3 | Search | Project Ideas! Probability and Information Theory | |
| Tuesday September 9 | Chapter 14; Udacity Unit 4 | Bayes Nets | ||
| Thursday September 11 | Chapter 14; Udacity Unit 4 | Bayes Nets and Inference | Proposal 1 | |
| Tuesday September 16 | Proposal 1 Panel Review | |||
| Thursday September 18 | Chapter 6 | Constraint Satisfaction | Proposal 1 Revision | |
| Tuesday September 23 | and 20.3; Udacity Unit 6 | Modeling | Simulated Annealing and Expectation Maximization | |
| Thursday September 25 | Chapter 18 and 20; Udacity Unit 5 | Machine Learning: cross validation, kNN, ML, mixture of experts | ||
| Tuesday September 30 | Chapter 18 and 20; Udacity Unit 6 | Machine Learning: PCA/LDA/ICA | ||
| Thursday October 2 | Chapter 18 | Gaussian Mixture Models | Decision Trees; Decision Trees in text entry (slides: decision-trees ) | |
| Tuesday October 7 | Chapter 18; Udacity Unit 5 | Neural Nets, SVMs, & Deep Learning | ||
| Thursday October 9 | Chapter 18; Udacity Unit 5 | Neural Nets, SVMs, & Deep Learning | ||
| Tuesday October 14 | Fall Break | (Paper 1 due Weds. Oct. 15) | ||
| Thursday October 16 | Paper 1 review | (Paper 1 due Weds. Oct. 15) | ||
| Tuesday October 21 | Paper 1 poster session & project 2 recruiting | Paper 1 presentations | ||
| Thursday October 23 | Paper 1 oral session & project 2 recruiting | Paper 1 revision | ||
| Tuesday October 28 | Chapter 15; Udacity Unit 11 | boosting; HMM modeling | Proposal 2 due Weds. Oct. 29 | |
| Thursday October 30 | Proposal 2 panel review | Proposal 2 due Weds. Oct. 29 | ||
| Tuesday November 4 | Chapter 15; Udacity Unit 11 | HMM decoding & training | Proposal 2 revision | |
| Thursday November 6 | Chapter 22 and 23; Udacity Unit 21 and Udacity Unit 22 | Decision trees | NLP (slides: NLP) | |
| Tuesday November 11 | Chapter 17 and 20; Udacity Unit 9 and Udacity Unit 12 | Markov Decision Processes; POMDPs (slides: chapter17) | ||
| Thursday November 13 | Chapter 5; Udacity Unit 13 | Sequences and Languages | Game Playing (slides: chapter06) | |
| Tuesday November 18 | Chapter 5; Udacity Unit 13 | Alpha-beta and Multi-player Games and Probabilistic Games | ||
| Thursday November 20 | Chapter 7; Udacity Unit 7 | Propositional Logic (slides: chapter07) | ||
| Tuesday November 25 | Chapter 8; Udacity Unit 7 | Actions (game playing & planning) | First Order Logic Semantics and Syntax (slides: chapter08) | |
| Thursday November 27 | Thanksgiving HOLIDAY | |||
| Tuesday December 2 | Chapter 9 and 10; Udacity Unit 8 | First Order Logic Inference and Planning (slides: chapter09 chapter11 chapter12) | (Paper 2 due Weds. Dec. 3) | |
| Thursday December 4 | Paper 2 review | (Paper 2 due Weds. Dec. 3) | ||
| Tuesday December 9 | Presentations (8-11am final exam period) | Paper2 revision |