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Syllabus, Guidelines, Policies

CSci 5512W: Artificial Intelligence II

3 Credits
M,W 02:30 P.M. - 03:45 P.M., EE/CSci 3-111
Spring 2008

Instructor:
Arindam Banerjee
EECS 6-213
banerjee AT cs dot umn.edu
Office Hours: M,W 03:45 P.M. - 4:45 P.M., or by appointment, in EECS 6-213

TA:
Eric Theriault
theriaul AT cs dot umn.edu
Office Hours: W 1:30-2:30, Th 11:30-12:30 in EECS 2-216

If you want to speak with us about the course and can't make one of the scheduled times, please send us email and we'll try to schedule a meeting.

Textbooks:
The required textbook for this course is "Artificial Intelligence: A Modern Approach", Second Edition, by Stuart Russell and Peter Norvig.

Grading:
Grading for this course will be based on the following components:
  • Four homeworks (HW0 is not counted).
  • Midterm exam.
  • Final exam.
  • Class participation.
Final scores will be computed as a weighted average of the homework score (40%, 10% for each), midterm exam score (25%), final exam score (30%), and class participation (5%). Grading is absolute (i.e., not on a curve). Grading will be as follows: A = 90-100, A- = 80-90, B+ = 75-80, B = 65-75, B- = 60-65, C+ = 55-60, C = 45-55, C- = 40-45, D+ = 30-40, D = 20-30, F = less than 20.

Late Submission Policy:
Late submissions will be penalized using the following rule:
  • Late by 0-24 hrs: 25% deducted from actual score.
  • Late by 24-48 hrs: 50% deducted from actual score.
  • Late by 48-72 hrs: 75% deducted from actual score.
  • Late by more than 72 hrs: Will receive a zero.
Exam Policy:
The midterm exam will be closed book/notes, but you are allowed to bring in notes on one standard sized page (the letter sized printer paper).
The final exam will be closed book/notes, but you are allowed to bring in notes on two standard sized pages.

Academic Integrity Policy:
This class will feature four homeworks. Students are encouraged to discuss homework exercises with each other, but each student must turn in his or her own, independent writeup of the solutions. In case you have jointly worked with other students, please note the names of your collaborators in the homework.

The University Student Conduct Code defines scholastic dishonesty as: submission of false records of academic achievement; cheating on assignments or examinations; plagiarizing; altering, forging, or misusing a University academic record; taking, acquiring, or using test materials without faculty permission; acting alone or in cooperation with another to falsify records or to obtain dishonestly grades, honors, awards, or professional endorsement. In this course, a student responsible for scholastic dishonesty will be assigned a penalty of an "F" or "N" for the course. If you have any questions regarding the expectations for a specific assignment or exam, ask.

 
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Artificial Intelligence II