CS 540: Introduction to Artificial Intelligence
Homework assignments will include written problems and programming in Java.
Accounts will be provided on the Computer Sciences Department's instructional
Unix workstations located in rooms 1350, 1351, and 1370. Piazza will be used
for discussing assignments. Assignment grading questions must be raised with
the instructor within one week after it is returned.
How to Hand In Your Homework:
All homework, including written portions, should be turned in via Canvas.
Written portions should be typed or scanned, but NOT photographed with
a smart phone.
If there is a programming part, electronically hand in files in zip format
containing the Java code that you wrote for the assignment. You do not need
to hand in any class files. Code MUST be compilable and runnable on the CS lab
All assignments are due 11:59pm through Canvas on the due date. One (1) day
late, defined as a 24-hour period from the deadline (weekday or weekend), will result
in 10% of the total points for the assignment deducted. So, for example, if an
120-point assignment is due on a Wednesday at 8am but it is handed in between Wednesday
8:01am and Thursday 8am, 12 points will be deducted. Two (2) days late, 25% off; three (3)
days late, 50% off. No homework can be turned in more than three (3) days late.
Written questions and program submission have the same deadline.
A total of three free late days may be used throughout the semester without
penalty. They will be applied to the first late days incurred on the
assignments. Weekends count as one day, so for example an assignment due at
11:59pm on Friday turned in before Sunday at 11:59pm would incur only one late day.
All examinations, programming assignments, and written homeworks must be done
individually. Cheating and plagiarism will be dealt with in accordance with
University procedures (see the UW-Madison Academic Misconduct Rules and Procedures).
Hence, for example, code for programming assignments must not be developed in
groups, nor should code be shared. You are encouraged to discuss with your peers,
the TA or the instructors ideas, approaches and techniques broadly, but not
at a level of detail where specific implementation issues are described by anyone.
If you have any questions on this, ask the instructor before you act.
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