The lecture schedule will be updated as the term progresses.

Date	Topic	Required Readings	Quiz
Fri, Jul 5, 2019	- Introduction / AI in Science Fiction and Philosophy - Python Review [slides] [video]	Fall 2018 lecture, Intro to Python Part 1 Fall 2018 lecture, Intro to Python Part 2 Russell and Norvig, AIMA Chapter 1 "Introduction" Optional: Russell and Norvig, AIMA Chapter 26 "Philosophical Foundations"	Quiz 1: Python
Fri, Jul 5, 2019	HW 1: Python Skills	(due by Tue, Jul 9, 2019 midnight)
Mon, Jul 8, 2019	- Intelligent Agents - Search Problem Formulation - Uninformed Search [slides]	Russell and Norvig, AIMA Chapter 2 "Intelligent Agents" (2.1-2.3) Russell and Norvig, AIMA Chapter 3 "Solving Problems by Search" (3.1-3.4)	Quiz 2: Solving Problems by Search (AIMA 2.1-2.3 and 3.1-3.4)
Wed, Jul 10, 2019	- A* Search and Heuristics [slides]	Russell and Norvig, AIMA Chapter 3 "Solving Problems by Search" (3.5-3.6)	Quiz 3: A* Search and Heuristics (AIMA 3.5-3.6)
Fri, Jul 12, 2019	- Game Trees: Minimax [slides]	Russell and Norvig, AIMA Chapter 5 "Adversarial Search" (5.1-5.5) Russell and Norvig, AIMA Chapter 16 "Making Simple Decisions" (16.1-16.3)	Quiz 4: Minimax, Expectimax, and Utilities (AIMA 5.1-5.5 and 16.1-16.3)
Fri, Jul 12, 2019	HW 2: Search and Games	(due by Tue, Jul 16, 2019 midnight)
Fri, Jul 12, 2019	Last Day to Drop
Mon, Jul 15, 2019	- Game Trees: Expectimax and Utilities - Markov Decision Processes 1 [slides]	Russell and Norvig, AIMA Chapter 17 "Making Complex Decisions" (17.1-17.3) Sutton and Barto, Chapter 3 - Finite Markov Decision Processes	Quiz 5: Markov Decision Processes (AIMA, 17.1-17.3 and Sutton and Barto, Chapter 3)
Wed, Jul 17, 2019	- Markov Decision Processes 2 [slides]
Fri, Jul 19, 2019	- MDPs Wrap-up and Reinforcement Learning 1 [slides]	Russell and Norvig, AIMA Chapter 21 "Reinforcement Learning" Sutton and Barto, Chapter 6 "Temporal-Difference Learning" (6.1, 6.2 and 6.5)	Quiz 6: Reinforcement Learning (AIMA Chapter 21; Sutton and Barto, 6.1, 6.2 and 6.5)
Fri, Jul 19, 2019	HW 3: Markov Decision Processes	(due by Tue, Jul 23, 2019 midnight)
Sat, Jul 20, 2019	Last Day to Change Grade Status
Mon, Jul 22, 2019	- Reinforcement Learning 2 [slides]
Wed, Jul 24, 2019	- Probability - Markov Models [slides]	Russell and Norvig, AIMA Chapter 13 "Quantifying Uncertainty" (13.1-13.5) Russell and Norvig, AIMA Chapter 15 "Probabilistic Reasoning Over Time" (15.2-15.5)	Quiz 7: Markov Models and Probability (AIMA 13.1-13.5 and 15.2-15.5)
Fri, Jul 26, 2019	- NLP (Natural Language Processing) [slides]	Jurafsky and Martin, Chapter 3 "Language Modeling with N-Grams" Jurafsky and Martin, Chapter 6 "Vector Semantics"	Quiz 8: NLP (Jurafsky and Martin Chapter 3 and 6)
Fri, Jul 26, 2019	HW 4: Reinforcement Learning	(due by Tue, Jul 30, 2019 midnight)
Fri, Jul 26, 2019	Term Project: R2D2 project or NLP assignment	(due by Wed, Aug 7, 2019 midnight)
Mon, Jul 29, 2019	- Bayes' Nets [slides]	Russell and Norvig, AIMA Chapter 14 "Probabilistic Reasoning" (14.1, 14.2, 14.4)	Quiz 9: Bayes' Nets (AIMA 14.1, 14.2, 14.4)
Wed, Jul 31, 2019	- BN wrapup and Naive Bayes [slides]	Russell and Norvig, AIMA Chapter 20 "Learning Probabilistic Models" (20.1)	Quiz 10: Machine Learning (AIMA 18.6.3, 18.8)
Fri, Aug 2, 2019	- Perceptrons [slides]	New York Times (July 13, 1958), Electronic 'Brain' Teaches Itself	Quiz 11: Neural Networks (Michael Nielsen Chapter 1 and 2)
Fri, Aug 2, 2019	HW 5: Perceptrons and Neural Network	(due by Tue, Aug 6, 2019 midnight)
Fri, Aug 2, 2019	Last Day to Withdraw
Mon, Aug 5, 2019	- Neural Networks [slides]	Russell and Norvig, AIMA Chapter 18 "Learning From Examples" (18.6, 18.7) Michael Nielsen, Neural Networks and Deep Learning Chapter 1 "Using Neural Nets to Recognize Handwritten Digits" Michael Nielsen, Neural Networks and Deep Learning Chapter 2 "How the Backpropagation Algorithm Works"
Wed, Aug 7, 2019	- In-class demos for your final projects - Computer Vision [slides]
Fri, Aug 9, 2019	Final Exam (multiple choice / short answer exam covering all readings from the semester)