6.825: Techniques in Artificial Intelligence--Fall '05

Announcements The final exam is: Tuesday, December 20th, 9:00am-12:00pm, in 32-144. Past exams are available here and are also available as a link from the syllabus. We have also posted some problems and solutions from last year's final. There will be a review session for the final on: Thursday, December 15th, 2:30-4:30pm, in 2-190 (the regular lecture classroom). We will be having extra office hours for the finals at the following times: Friday, December 16th, 2-4pm, 32-G451 (Emma & Meg) Monday, December 19th, 12-1pm, 32-346 (Emma) Monday, December 19th, 3-4pm, 32-G451 (Meg) The quiz and quiz solutions have been posted on the syllabus, or you can get them directly here: quiz solutions References Textbook: Artificial Intelligence: A Modern Approach Second Edition by Russell and Norvig. (Buy it at Quantum Books or Amazon for $80.10 or $78.32, respectively.) Broad background resource: AI Topics Java Resources http://courses.csail.mit.edu/6.825 Syllabus Includes pointers to required reading not in the textbook and suggested exercises. Description 6.825 is a graduate-level introduction to artificial intelligence. Topics include: representation and inference in first-order logic; modern deterministic and decision-theoretic planning techniques; basic supervised learning methods; and Bayesian network inference and learning. Prerequisites 6.041 (Probabilistic Systems Analysis) 6.042 (Mathematics for Computer Science) 6.046 (Introduction to Algorithms) (desirable, but not required) Students should be familiar with uninformed search algorithms (depth-first and breadth-first methods), discrete probability (random variables, expectation, simple counting), propositional logic (boolean algebra), basic algorithms and data structures, basic computational complexity, and basic calculus. Students should also be aware that course assignments will require the use of the Java programming language. Grading The work for this course will consist of three take-home project assignments and two exams: a quiz and a final. The projects will count for 60% of the grade (20% each), and the exams, 40% (15% for the quiz and 25% for the final). Late Policy for Projects: 10% off for each calendar day late. No credit if more than 5 days late. Collaboration We want to strongly encourage collaboration as a way for students to come to understand the material better. Project 1 is an individual assignment, but you may do Project 2 and Project 3 in groups of two, turning in a single write-up. You do not have to partner with the same person for both of the projects and you can choose to do either or both of them on your own. If you are looking for a partner for an assignment, email the class list asking if anyone is available. You are also quite welcome to discuss the assignments as much as you'd like between groups. The ultimate requirement is this: Don't put your name on anything you don't understand. There will, of course, be no collaboration allowed on the exams.