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Prerequisites: Students should have taken a graduate level AI course (e.g., CMSC 671) or a graduate level database class (e.g., CMSC 661).
When and Where: Tuesday from 7:00pm to 9:45pm in ECS 210I
Instructor: Tim Finin, finin@umbc.edu
Text books and papers: We will use John F. Sowa's new book, Knowledge Representation: Logical, Philosophical, and Computational Foundations, which can be purchased at the UMBC bookstore or online. We will also read a number of papers available online or handed out in class.
Structure: Class time will be spent with about 40% lecture and 60% student-led presentation and discussion of readings. Since we will only meet once a week, we will use the class mailing list to carry out additional discussion, comment and interactions. This will be a required part of the course and the quality and level of your participation in online discussions will play a part in determining your grade. So, please read, think about and respond to messages sent to the 771 mailing list.
Assignments: Students will be required to prepare and present material to the class, complete several short assignments and engage in a longer project, either individually or as part of a group. Presentations should be done in Powerpoint and will be added to a collection for the course and posted to the web.
Software: We will use one or more of the following software systems: Loom, Ontolingua, Classic, OKBC, XSB, Prolog, Rational Rose, and Visio.
Syllabus: The syllabus is ambitious and we won't be able to cover it all, but we will try.
Mailing list: There is a class mailing list with a hypermail archive which you can subscribe to. Send a message to majordomo@cs.umbc.edu with the text "subscribe 771" in the body of the message to subscribe.
Resources: There is a page of links to useful web resources.
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