CS 188: Introduction to Artificial Intelligence, Spring 2020

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CS 188: Introduction to Artificial Intelligence, Spring 2020

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CS 188 | Introduction to Artificial Intelligence Spring 2020 Lectures: Mon/Wed/Fri 9:00–9:59 am, Wheeler 150 Description

This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.

By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings. Your agents will draw inferences in uncertain environments and optimize actions for arbitrary reward structures. Your machine learning algorithms will classify handwritten digits and photographs. The techniques you learn in this course apply to a wide variety of artificial intelligence problems and will serve as the foundation for further study in any application area you choose to pursue.

See the syllabus for slides, deadlines, and the lecture schedule. Readings refer to AIMA unless otherwise specified.

Syllabus Slides from previous semesters (denoted archive) are available before lectures - official slides will be uploaded following each lecture. W Date Lecture Topic Readings Section Homework Project 0 W 1/22 Intro to AI pptx webcast Ch. 1 & 2 N/A HW0 Diagnostic Electronic (Due 1/29 11:59 pm) P0 Tutorial (Due 1/27 Monday 11:59 pm) 1 F 1/24 Uninformed Search I pdf pdf6up webcast Ch. 3.1–3.4 Note 1 Section 1, Sol P1 Search (Due 2/7 Friday 11:59 pm)Mini-Contest 1 (Due 2/9 Sunday 11:59 pm) M 1/27 Uninformed Search II. Prelude to A*. pdf handout pdf6up webcast   W 1/29 A* Search and Heuristics pdf handout pdf6up webcast Ch. 3.5–3.6 2 F 1/31 CSP I  pdf handout pdf6up webcast Ch. 6.1 Section 2, Sol Exam prep1, Sol HW1 Heuristics and CSP Electronic (Due 2/5 11:59 pm) M 2/3 2. CSP II  pdf handout pdf6up Ch. 6.2 - 6.5 Note 2 W 2/5 CSP III pdf handout pdf6up   3 F 2/7 Game Trees  pdf handout pdf6up Ch. 5.2–5.5  Note 3 Section 3, Sol Exam prep2, Sol HW2: CSPs, Game Trees, Utility Electronic (Due 2/12 11:59 pm) P2 Multi-Agent Search (Due 2/21 Friday 11:59 pm)Mini-Contest 2 (Due 3/15 Sunday 11:59 pm) M 2/10 Game Trees II pdf handout pdf6up Ch. 16.1 - 16.3 W 2/12 MDP I pdf pptx pdf6up Ch. 17.1–17.3 Note 4 4 F 2/14 MDP II pdf pptx pdf6up Ch. 17.1 - 17.3 Section 4, Sol Exam prep3, Sol Written HW 1 M 2/17 President Day W 2/19 MDP III  pdf pptx pdf6up   5 F 2/21 RL I pdf pptx pdf6up Ch. 21; Sutton Ch. 6.1, 6.2, 6.5 Note 5 Section 5, Sol Exam prep4, Sol HW3: RL, MDPs Electronic (Due 2/26 11:59 pm) HW1 (Written) Self-grade (Due 2/29 11:59 pm) P3 RL (Due 3/6 Friday 11:59 pm) M 2/24 RL II pptx pdf6up  Ch. 21 W 2/26 RL III  pptx pdf6up Ch. 21 6 F 2/28 Probability I pdf handout pdf6up Ch. 13.1–13.5 Note 6 Section 6, Sol Exam prep5, Sol HW4 Electronic (Due 3/4 11:59 pm) M 3/2 Probability II pdf handout pdf6up   W 3/4 BN representation  pdf handout pdf6up Ch. 14.1, 14.2, 14.4 7 F 3/6 BN Inference I pdf handout pdf6up Ch. 14.4 Section 7, Sol Exam prep6, Sol Written HW 2 M 3/9 BN Inference II pdf handout pdf6up   W 3/11 BN Sampling  pdf handout pdf6up Ch. 14.4-14.5 8 F 3/13 HMM  pdf handout pdf6up Ch. 15.2-15.6 Note 8 Section 8, Sol Exam prep7, Sol M 3/16 HMM (cont)  pdf handout pdf6up Ch. 15.2, 15.6 W 3/18 DN/VPI  pdf handout pdf6up Note 7 9 F 3/20 Midterm Review: Rao Ch. 16.5 - 16.6 P4 Ghostbusters (Due 4/10 Friday 11:59 pm) M 3/23 Spring Break W 3/25 Spring Break   10 F 3/27 Spring Break   Practice Midterm Search Midterm Review, Sol CSP Midterm Review, Sol Games Midterm Review, Sol MDPs Midterm Review, Sol RL Midterm Review, Sol BN Midterm Review, Sol HW5 Electronic M 3/30 MT Review: Lambert pdf pptx pdf6up W 4/1 Midterm  11 F 4/3 ML: Naive Bayes I  pdf pptx pdf6up   Section 9, Sol Exam prep8, Sol HW6 Electronic M 4/6 ML: Naive Bayes I  pdf pptx pdf6up Ch. 20.1 -20.2.2 Note 9 W 4/8 ML Perceptron pdf pptx pdf6up Ch. 18.6.3, 18.8 12 F 4/10 Guest Lecture: Roberto Calandra slides Section 10, Sol Exam prep9, Sol Written HW 3HW7 Electronic P5 Machine Learning (Due 5/1 Friday 11:59 pm) M 4/13 LogReg + NN I pdf pptx pdf6up W 4/15 LogReg + NN II pdf pptx pdf6up Ch. 18.6.3, 18.8, Note 10 13 F 4/17 NN+Decision Trees pdf pptx pdf6up Section 11, Sol Exam prep10, Sol Written HW 4Due Wed 4/29, 11:59pm M 4/20 Back Prop & Deep Learning pdf pptx pdf6up W 4/22 Robotics, NLP, CV I  pdf pdf6up   14 F 4/24 Guest: Stuart Russell (AI Safety) watch   Search Final Review, Sol CSP Final Review, Sol Games Final Review, Sol MDP RL Final Review, Sol BN Final Review, Sol HMM Final Review, Sol ML Final Review, Sol M 4/27 Guest: Alyosha Efros (Computer Vision.) watch   W 4/29 Guest: Anca Dragan watch   15 F 5/1 Wrap up   M 5/4   W 5/6     16 F 5/8     M 5/11 Final CS 188 Weekly Schedule Office Hours Staff Policies Assignments Exams Grading


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