Artificial Intelligence (CS 4793), Summer 2015

University of Information Technology (UIT), Vietnam

July 6 - August 8, 2015

Lecture: MWF 8:30 - 11:30 AM, Room A106

Web site:


Instructor

Teaching Assistants


Text

Course Objectives

This class covers topics in Artificial Intelligence, including Search strategies, Reasoning with uncertain knowledge, Learning from data, Control systems, and Robotics. We will cover chapters 3, 4, 5, 10, 21, 25, 13, 14, and 18 of the AIMA text, in that order. Some of the topics we will cover are:

Assignments

Homework Keys

Grade Breakdown

Lecture Notes


Tentative Schedule

Date Reading (AIMA) Topics Assignments
6/7/15 Preliminaries, Agents, Recursion
Permutations, Combinations
3.1-3.4 Search problems
8/7/15 3.4 Uninformed search
3.5 A* search
3.6 Local search (H) 3
10/7/15 4.1-4.2 Local search
4.3 Nondeterminism
4.4-4.5 Online search (P) Permutations, Combinations
13/7/15 5.1-5.2 Adversarial games
5.3 Heuristic functions
5.4-5.6 Math dice work session (P) Math Dice
15/7/15 10.1 Classical Planning
10.2 POP and Planning Graphs
Midterm Review (H) 4,5,10
17/7/15 (T) Midterm Exam
Sliding puzzle work session
20/7/15 21.1-21.3 Reinforcement learning
21.4-21.6 Active reinforcement learning
25.1-25.3 Robot perception (P) Toroidal Sliding Puzzle
22/7/15 25.4-25.6 Robot movement, controllers
18.1-18.6 Learning from examples, Regression
18.8-18.9 Non-parametric models, Pendulum work session (afternoon) (H) 21,25
24/7/15 13.1-13.3 Probability and inference
13.4-13.5 Bayes’ rule
14.1-14.3 Bayesian Networks (P) Pendulum
27/7/15 14.4-14.5 Bayesian Learning (H) 13, 18
18.7 Neural Networks
Final review
29/7/15 Practice final
3/8/15 (T) Final Exam
3/9/15 Robot work session (P) Robot Localization