CMSC421 |
Introduction to Artificial Intelligence |
Fall 2005 |
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Course Time and Place: Tu, Th 3:30 - 4:45 CSI 1121 |
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Professor: |
Teaching Assistant: Programming
Assignment TA:
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Prerequisites:
Students should have a background in logic, proibability and algorithms.
Students should also have a strong programming background. Familiarity with
algorithms will also be useful A C or better in CMSC 330 (Organization
of Programming Languages) and CMSC 351 (algorithms) or CMSC 420 (Data
Structures). Prerequisites will be enforced. Text: Russell and Norvig, Artificial Intelligence, A Modern Approach. Prentice-Hall, second eddition. ISBN 0-13-790395-2. Mailing list: There is a class mailing list, cmsc421@cs.umd.edu. If you are registered for the class, you will be automatically subscribed and have received a confirmation email. If you are registered and have not received any confirmation, please email the TA. Workload:
There will be an in-class midterm and final. There will be both homework
assignments and programming assignments. The work load for this course
is high. Grading
Homeworks: There will be six to eight written homeworks. Students will be allowed to work together on written homeworks. Students may discuss the homework to understand the problem and reach a solution. However, each student must write down the solution independently, and without referring to written notes from the joint session. In other words, each student must understand the solution well enough in order to reconstruct it by him/herself. In addition, each student should write on the problem set the set of people with whom s/he collaborated. This method as an experiment for CSMC421. If we find that people's homeworks are suspiciously similar (indicating copying as opposed to collaborative work), we will simply stop the experiment and disallow collaboration for the entire class. Important note on the honor code: We occasionally reuse problem set questions from previous years' courses, we expect the students NOT to copy, refer to, or even look at the solutions in preparing their answers. It will be considered an honor code violation to intentionally refer to previous year's solutions (or other solutions available on the web) The purpose of problem sets in this class is to help you think about the material, not just give us the correct answers. Late Homeworks and Projects: Homeworks are due in class on their due date. Due dates and times will be specified for each project. A grading penalty will be applied to late homeworks and projects. Recognizing that students may face unusual circumstances and require some flexibility in the course of the quarter, each student will have a total of seven free late (calendar) days to use as s/he sees fit. No additional individual extensions will be given. Once these late days are exhausted, any homework turned in late will be penalized at the rate of 20% per late day (or fraction thereof). Under no circumstances will a homework or project be accepted more than a week after its due date. Late days are from 5PM to 5PPM for homeworks. Late homeworks should be handed in to the TA. If not available (e.g., on weekends), write the date and time on the assignment and push it under Prof. Getoor's door. In all cases, for late homeworks, students should write down the time that the homework is turned in and the number of late days used. It is a honor code violation to write down the wrong time. Exams. There will be a midterm exam and a final exam. REGRADING ISSUES: The majority of the grading will be done by the TA. If you think there has been a mistake in grading your homework or exam, please submit a regrade request explaining in writing, precisely and consicely, the grading error that has occurred, to the TA. Such request must be made no later than 1 week after the material in question was returned to the class. Any request to have an assignment regraded may result in the entire assignment in question being regraded, possibly resulting in a loss of points. ACADEMIC INTEGRITY:. In this course you are responsible for both the University's Code of Academic Integrity and the University of Maryland Guidelines for Acceptable Use of Computing Resources. Any evidence of unacceptable use of computer accounts or unauthorized cooperation on tests, quizzes, or projects will be submitted to the Student Honor Council, which could result in an XF for the course, suspension, or expulsion from the University. Automatic tools may be used to compare your project solution to that of other current or past students in this class, so it will be very difficult to hide any collaboration. The risk of getting caught is too high, and the standard penalty is way too high (grade of XF). EXCUSED ABSENSES: Students claiming an excused absence for an exam must apply in writing and furnish documentary support (such as from a health care professional who treated the student). Excused absenses do not extend your 7 late day budget.
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