Dates	Topics	Materials	Assignments
February 3—7	Introduction	Introduction — Outcomes 1 — Guide 1	Lab 1
February 10—14	Problem Solving	Local Search — Outcomes 2 — Guide 2	Lab 2
February 17—21		Constraint Satisfaction — Outcomes 3 — Guide 3	Lab 3 Homework 1
February 24—28	Uncertainty	Probability — Outcomes 4 — Guide 4	Lab 4
March 2*—6		Probabilistic Reasoning — Outcomes 5 — Guide 5	Lab 5 Homework 2
March 9—13	Machine Learning	Problem Framing — Outcomes 6 — Guide 6	Lab 6
March 16*—20		Regression — Outcomes 7 — Guide 7	Lab 7 Homework 3
March 23—27 — Spring Break
March 30 — April 3	Keras	Feature Engineering — Outcomes 8 — Guide 8	Lab 8
April 6—9 Good Friday		Classification — Outcomes 9 — Guide 9	Lab 9
April 13*—17 Easter Monday	Deep Learning	Neural Networks — Outcomes 10 — Guide 10	Lab 10 Homework 4
April 20—24 Advising		Embeddings — Outcomes 11 — Guide 11	Lab 11 Project — Proposal Draft
April 27* — May 1	Knowledge	Propositional Logic — Outcomes 12 — Guide 12	Lab 12 Project — Proposal Update
May 4—8		First-Order Logic — Outcomes 13 — Guide 13	Lab 13 Homework 5
May 11—14* Reading Recess	Conclusion	Conclusion — Outcomes 14 — Guide 14	Project — Walkthrough
May 18—21 Finals	Project — Showcase & Submission Thursday, May 21

* We will hold exams of these weeks (generally on Monday).