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Lecture

Section

Lab

Exam

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Holiday

March
Monday	Tuesday	Wednesday	Thursday	Friday
28 14:30-15:20 Lecture RAI 121 Introduction Slides	29	30 14:30-15:20 Lecture RAI 121 Python for AI Slides	31	01 14:30-15:20 Lecture RAI 121 Implementing Conversational Agents Slides

April
Monday	Tuesday	Wednesday	Thursday	Friday
04 14:30-15:20 Lecture RAI 121 More Python Techniques Slides	05	06 14:30-15:20 Lecture RAI 121 Knowledge Representation with Inheritance Hierarchies Slides 23:59 Assignment 1 (Programming Techniques and Conversational Agents) due	07	08 14:30-15:20 Lecture RAI 121 Problem Representation for State-Space Search Slides
11 14:30-15:20 Lecture RAI 121 Search Algorithms and Heuristics Slides	12	13 14:30-15:20 Lecture RAI 121 Search Algorithms (cont.) 23:59 Assignment 2 (Knowledge Management) due	14	15 14:30-15:20 Lecture RAI 121 Problem Formulation. Slides
18 14:30-15:20 Lecture RAI 121 Advanced Search Algorithms. Slides	19	20 14:30-15:20 Lecture RAI 121 Advanced Search Techniques (continuing the slides from April 18). Assignment 3 deadline actually changed by one day to April 21. 23:59 Assignment 3 (Problem Solving) due	21	22 14:30-15:20 Lecture RAI 121 Minimaxing Slides
25 14:30-15:20 Midterm	26	27 14:30-15:20 Lecture RAI 121 Game-playing (continued)	28	29 14:30-15:20 Lecture RAI 121 Game-playing: Alpha-Beta Pruning Slides 23:59 Assignment 4 (Problem Formulation) due

May
Monday	Tuesday	Wednesday	Thursday	Friday
02 14:30-15:20 Lecture RAI 121 Expectimax Search Slides (worksheet will be posted separately)	03	04 14:30-15:20 Lecture RAI 121 Propositional Calculus and Resolution Slides	05	06 14:30-15:20 Lecture RAI 121 Probabilistic Inference with the Rule of Thomas Bayes Slides
09 14:30-15:20 Lecture RAI 121 Markov Decision Processes Slides 23:59 Assignment 5 (Game Agents) due	10	11 14:30-15:20 Lecture RAI 121 MDPs (continued)	12	13 14:30-15:20 Lecture RAI 121 Reinforcement Learning Slides
16 14:30-15:20 Lecture RAI 121 The Joint Distribution and Conditional Independence Slides	17	18 14:30-15:20 Lecture RAI 121 Perceptron and Perceptron Learning Slides 23:59 Assignment 6 (Part 1) (Bayes' Rule and Markov Decision Processes) due	19	20 14:30-15:20 Lecture RAI 121 Learning via Decision Tree Induction Slides 23:59 Assignment 6 (Part 2) (Reinforcement Learning) due
23 14:30-15:20 Lecture RAI 121 Naive Bayes Classification Slides	24	25 14:30-15:20 Lecture RAI 121 Natural Language Processing Slides	26	27 14:30-15:20 Lecture RAI 121 NLP, continued.
30 Memorial Day	31 23:59 Project code due	01 14:30-15:20 Lecture RAI 121 Project Presentations	02	03 14:30-15:20 Lecture RAI 121 Project Presentations; The Future of AI Slides 23:59 Project report due

June
Monday	Tuesday	Wednesday	Thursday	Friday
06	07 14:30-16:20 Final exam	08	09	10