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CSG120 Artificial Intelligence -- Spring 2007College of Computer & Information ScienceNortheastern University -- Professor Robert P. FutrelleSite updated 8 April 2007
URL of this page: Course description - from the catalog
This course introduces the fundamental problems, theories and algorithms
of the artificial intelligence field. Topics covered include: heuristic
search and game trees; knowledge representation using predicate
calculus; automated deduction and its applications; problem solving and
planning; introduction to machine learning. Required coursework includes
the creation of working programs that solve problems, reason logically,
and/or improve their own performance using techniques presented in the
course. Your immediate responsibilities in this courseImportant details about your responsibilities are here . The topics discussed there are:
News and NotesFollow the links on the left for details. 8 April 2007: There will be no Assignment #5. 8 April 2007: An update on what is needed for your final project report has been posted. 15 January 2007: The full readings for all classes up to time of the Midterm have been posted. This covers about half the book.7 January 2007: All the most important pages have been posted to the website. There will changes and additions to them as the course proceeds. 13 December 2006: The course website is not complete at this early date. Links in square brackets are to pages not yet posted. 13 December 2006: Grading: Details are forthcoming, but roughly, credit will be divided between quizzes and exams, homework, and each of the three handins for your project. 13 December 2006: The Project: There are four possibilties, each of which will require a scholarly written report:
24 December 2006: The initial course pages have been posted on the web. Some are essentially finished, some are in draft form, and some are not yet posted. |