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Lecture

Section

Lab

Exam

Homework

Office Hour

Other

Holiday

January
Monday	Tuesday	Wednesday	Thursday	Friday
06 14:30-15:20 Lecture MGH 241 Course introduction Slides; 1-up	07	08 14:30-15:20 Lecture MGH 241 State Spaces Slides; 1-up	09	10 14:30-15:20 Lecture MGH 241 Search Algorithms Slides; 1-up
13 14:30-15:20 Lecture MGH 241 Heuristic Search Slides; 1-up	14	15 14:30-15:20 Lecture MGH 241 Adversarial Search I Slides; 1-up 23:59 A1 (Python Warm-up and AI Intro) due	16	17 14:30-15:20 Lecture MGH 241 Adversarial Search II Slides; 1-up
20 MLK Day	21	22 14:30-15:20 Lecture MGH 241 Expectimax Search Slides; 1-up 23:59 A2 (Search Techniques) due	23	24 14:30-15:20 Lecture MGH 241 Markov Decision Processes Slides; 1-up
27 14:30-15:20 Lecture MGH 241 Values, Q-Values, Policies Slides; 1-up	28	29 14:30-15:20 Lecture MGH 241 Value Iteration	30	31 14:30-15:20 Lecture MGH 241 Q-Learning Slides; 1-up 23:59 A3 (Adversarial Search) due

February
Monday	Tuesday	Wednesday	Thursday	Friday
03 14:30-15:20 Lecture MGH 241 Q-Learning (continued)	04	05 14:30-15:20 Lecture MGH 241 Feature-Based Q-Learning Slides; 1-up	06	07 14:30-15:20 Lecture MGH 241 Probabilities and Probabilistic Reasoning Slides; 1-up 23:59 A4 (Written Exercises I) due
10 14:30-15:20 Lecture MGH 241 Joint Distributions	11	12 14:30-15:20 Lecture MGH 241 Review	13	14 14:30-15:20 Midterm exam
17 President's Day	18	19 14:30-15:20 Lecture MGH 241 Bayes Nets Slides 1-up 23:59 A5 (Reinforcement Learning) due	20	21 14:30-15:20 Lecture MGH 241 Bayes Nets (Cont.)
24 14:30-15:20 Lecture MGH 241 Perceptron Learning Slides 1-up	25	26 14:30-15:20 Lecture MGH 241 Perceptrons (Cont.)	27	28 14:30-15:20 Lecture MGH 241 Deep Learning Slides 1-up

March
Monday	Tuesday	Wednesday	Thursday	Friday
02 14:30-15:20 Lecture MGH 241 D-Separation in Bayes Nets Slides 1-up	03	04 14:30-15:20 Lecture MGH 241 Markov Models Slides 1-up 23:59 A6 (Deep Learning) due	05	06 14:30-15:20 Lecture MGH 241 Hidden Markov Models: The Viterbi Algorithm Slides 1-up
09 14:30-15:20 Lecture MGH 241 Hidden Markov Models: The Forward Algorithm; Natural Language Processing Slides 1-up; NLP: Slides 1-up	10	11 14:30-15:20 Lecture MGH 241 Social Issues, The Asimov Laws and the Future of AI Slides 1-up 23:59 A7 (Written Exercises II) due	12	13 14:30-15:20 Lecture MGH 241 Review
16	17 Optional take-at-home Final exam due at 16:30	18	19	20