Schedule

• Mon, Aug 26 -- Intelligent Agents [Chapters 1 and 2]
• Wed, Aug 28 -- Review: Propositional Logic [Sections 7.1-7.5]
• Mon, Sep 02 -- No Class (Labor Day)
• Wed, Sep 04 -- Reasoning with Propositional Logic [Sections 7.1-7.5] (same slides as above)
• Mon, Sep 09 -- First-Order Logic [Chapter 8 and Section 9.5] plus handout
• Wed, Sep 11 -- Rule-Based Systems [Sections 9.3-9.4]
• Fri, Sep 13 -- Add Deadline and Drop Deadline 1
• Mon, Sep 16 -- Decision Tree Learning [Section 18.3]
• Wed, Sep 18 -- Perceptron Learning [Sections 18.7.1-18.7.4] plus handout and C code for perceptron learning
• Mon, Sep 23 -- Neural Network Learning [Sections 18.7.1-18.7.4]] plus handout
• Mon, Sep 23 -- Project 1 out
• Wed, Sep 25 -- Neural Network Learning continued (same slides as above)
• Mon, Sep 30 -- Function Optimization with Local Search [Sections 4.1-4.2]
• Wed, Oct 02 -- Planning Agents [Sections 2.4 and 3.1-3.2] and STRIPS [Section 10.1] plus handout
• Mon, Oct 07 -- SAT-Based Planning [Section 10.4.1]
• Mon, Oct 07 -- Project 1 due (anytime, up to 11:59pm)
• Wed, Oct 09 -- Uninformed Search [Sections 10.2.1 and 3.3-3.4]
• Fri, Oct 11 -- Drop Deadline 2
• Mon, Oct 14 -- Midterm Q+A
• Tue, Oct 15 -- Midterm (for both sections) from 6:00pm to 7:50pm in GFS106
• Wed, Oct 16 -- Heuristic Search [Sections 3.5-3.6]
• Mon, Oct 21 -- Heuristic Search continued (same slides as above)
• Mon, Oct 21 -- Project 2 out
• Wed, Oct 23 -- Multi-Agent Path Finding and Search-Based Planning [Section 10.2.3]
• Mon, Oct 28 -- Review: Probabilities [Chapter 13]
• Wed, Oct 30 -- Decision Theory [Sections 16.1-16.3 and 16.5]
• Mon, Nov 04 -- Markov Decision Processes and Reinforcement Learning [Sections 17.1-17.2 and 21.1-21.3] plus rudimentary C code for value iteration and policy iteration without discounting
• Wed, Nov 06 -- Markov Decision Processes and Reinforcement Learning continued
• Wed, Nov 06 -- Project 2 due (anytime, up to 11:59pm)
• Mon, Nov 11 -- Bayesian Networks [Sections 14.1-14.4]
• Mon, Nov 11 -- Project 3 out
• Wed, Nov 13 -- Naive Bayesian Learning [Sections 13.5.2 and 20.2.2]
• Fri, Nov 15 -- Drop Deadline 3
• Mon, Nov 18 -- Adversarial Search [Sections 5.1-5.3]
• Wed, Nov 20 -- Constraint Satisfaction (Chapter 6)
• Mon, Nov 25 -- Atari Playing Agent (Liron)
• Mon, Nov 25 -- Project 3 due (anytime, up to 11:59pm)
• Wed, Nov 28 -- No Class (Thanksgiving)
• Mon, Dec 02 -- Artificial Intelligence Ethics
• Wed, Dec 04 -- Final Q+A
• Fri, Dec 13 -- Final (for both sections) from 8am to 9:50am in SGM124.

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