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Lecture

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Lab

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September
Monday	Tuesday	Wednesday	Thursday	Friday
25	26	27 13:30-14:20 Lecture JHN 175 Introduction Slides	28	29 13:30-14:20 Lecture JHN 175 Python for AI Slides

October
Monday	Tuesday	Wednesday	Thursday	Friday
02 13:30-14:20 Lecture JHN 175 Implementing Conversational Agents Slides	03	04 13:30-14:20 Lecture JHN 175 More Python Techniques Slides	05	06 13:30-14:20 Lecture JHN 175 Knowledge Representation with Inheritance Hierarchies Slides 23:59 Assignment 1 (Programming Techniques and Conversational Agents) due
09 13:30-14:20 Lecture JHN 175 Problem Representation for State-Space Search Slides	10	11 13:30-14:20 Lecture JHN 175 Search Algorithms and Heuristics Slides	12	13 13:30-14:20 Lecture JHN 175 Search Algorithms (cont.) 23:59 Assignment 2 (Knowledge Management) due
16 13:30-14:20 Lecture JHN 175 Problem Formulation. Slides	17	18 13:30-14:20 Lecture JHN 175 Advanced Search Algorithms. Slides	19	20 13:30-14:20 Lecture JHN 175 Advanced Search Techniques (continued) 23:59 Assignment 3 (Problem Solving) due
23 13:30-14:20 Lecture JHN 175 Minimaxing Slides	24	25 13:30-14:20 Midterm exam	26	27 13:30-14:20 Lecture JHN 175 Game-playing (continued)
30 13:30-14:20 Lecture JHN 175 About Assignment 5: Rules of Baroque Chess and K-in-a-Row. 23:59 Assignment 4 (Problem Formulation) due	31	01 13:30-14:20 Lecture JHN 175 Game-playing: Alpha-Beta Pruning. Slides	02	03 13:30-14:20 Lecture JHN 175 Expectimax Search and Utilities Slides

November
Monday	Tuesday	Wednesday	Thursday	Friday
06 13:30-14:20 Lecture JHN 175 Expectimax Search and Utilities (continued)	07	08 13:30-14:20 Lecture JHN 175 Probabilistic Inference with the Rule of Thomas Bayes Slides 23:59 Assignment 5 (Game Agents) due	09	10 Veterans Day
13 13:30-14:20 Lecture JHN 175 Markov Decision Processes Slides	14	15 13:30-14:20 Lecture JHN 175 Agent Competition Finals; MDP Value Iteration	16	17 13:30-14:20 Lecture JHN 175 Reinforcement Learning Slides
20 13:30-14:20 Lecture JHN 175 Reinforcement Learning (continued) 23:59 Assignment 6 (Bayes Rule and Markov Decision Processes) due	21	22 13:30-14:20 Lecture JHN 175 Reinforcement Learning (continued)	23 Thanksgiving Day	24 Day after Thanksgiving
27 13:30-14:20 Lecture JHN 175 Naive Bayes Classification Slides	28	29 13:30-14:20 Lecture JHN 175 Bayesian Networks Slides 23:59 Assignment 7, PART A due	30	01 13:30-14:20 Lecture JHN 175 Introduction to Perceptrons and Neural Network Learning Slides

December
Monday	Tuesday	Wednesday	Thursday	Friday
04 13:30-14:20 Lecture JHN 175 Review for the final exam	05	06 13:30-14:20 Lecture JHN 175 Deep Learning Slides 23:59 Assignment 7, PART B due	07	08 13:30-14:20 Lecture JHN 175 The Future of AI, incl. Asimov's 3 Laws of Robotics Slides
11 14:30-16:20 Final exam	12	13	14	15