Artificial intelligenceThe course gives a broad overview of the problems and methods studied in the field of artificial intelligence. Timetable for lectures, Timetable for help, Timetable for presentations, Responsible, Eligibility, Aim, Course literature, Student office, Syllabus, Examination, Course PM can be downloaded here Any changes in the course PM will be posted under news. Those that need new card and account can find information here about the accounts and here about the access cards. The people that signed up for cards during the first lecture will get the cards during the second lecture (Sep 6).
Timetable for Lectures
Timetable for help
Timetable for presentationsEach presentation is give a slot of 30min. This includes 15min presentation and 10-15min of questions/discussion. You sign up for the presentations on the list that can be found in the same place as you hand in your homework. The presentations will take place in room 523 on floor 5 at Teknikringen 14. If you do not know where this is please follow the path to CAS here . You will need to use the stairs to the 5th floor and wait outside (you cannot enter the corridor, it required an access card) for us to let you in. Please do not knock on the door as people on the floor are trying to work and will not appreciate being disturbed every 30mins for 3 days. Be there 5min before you are scheduled to present.
Course responsibilityPatric JensfeltLecturers: Patric Jensfelt (patric@kth.se) Danica Kragic (danik@nada.kth.se) Prerequisites and Eligibility The following or equivalent courses are a prerequisity: Course aim
The aim of the course is to Course materialBookArtificial Intelligence: A Modern Approach (Second Edition) by Stuart J. Russell and Peter Norvig, Prentice Hall (2003), ISBN 0-13790-395-2 LecturesAll lectures are made available for download as they are given. Student office and DelfiNADAs student office address is Lindstedtsvägen 3, plan 2. It is opened Mo-Fr 9.45-11.30 and Mo-Th 12.45-14.15. Delfi is NADAs system group that takes care of the computer accounts and access cards. Delfi is open Mo-Fr 10-12 and Mo-Th 13-15. SyllabusThe following areas will be treated in the course: problem solving with search algorithms, heuristics and games, knowledge representation (logic), representing uncertain knowledge and reasoning (Bayesian networks), decision and utility theory, and machine learning. Examples of using artificial intelligence methods in computer vision, robotics, etc will be given. ExaminationThe examnination consists of completing homeworks (individual) and a projects (in groups). For all examinations, we use the following code of honour.. |
