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CPE/CSC 480-F06 Artificial Intelligence

CPE/CSC 480-F06 Artificial Intelligence Lab Exercises

Types of Exercises

The lab exercises for this class typically consist of activities intended to enhance the understanding of the topics discussed in class. Examples are the use and evaluation of systems that embody AI methods, the use of tools that demonstrate principles and methods used in AI, or the evaluation of projects and systems that make claims to have achieved some intelligence. There may be short programming assignments, but most of the exercises will not require coding.

Since you will also be working on your team project during the lab time, I am trying to design the lab exercises so that they will not consume more than half of the lab time per week. If it turns out to be significantly more time-consuming, please let me know so I can adjust or replace the exercise.

Individual Exercises

Most lab exercises are to be done individually. Those that can be done in teams state that explicitly.

Distribution of Exercises

Copies of the exercises are usually distributed in class. You can also download them from the Class Schedule, or by following the links below:

Submission of Exercises

Unless noted otherwise, assignments should be submitted on paper, usually by completing the sheet with the description of the exercise. For some labs, your results may be of interest to other students, and I may ask you to submit them via a Blackboard discussion forum. If you are not comfortable making your work available to the rest of class, let me know.

Deadline and Late Submissions

In general, the deadline for an assignment is at the end of the lab period a week after the lab has been handed out. The deadline is indicated on the handout. Lab exercises submitted late are subject to a 10% deduction per late day; no late submissions will be accepted after the solution has been distributed, or discussed in class.

Grading and Return of Assignments

Usually I give points for lab exercises, not letter grades. All the lab exercises for a course add up to 100 points, which is then scaled to the contributing factor with respect to the overall grade (e.g. 10%). Alternatively, I may use 100 points per assignment, with a weight factor for each individual assignment.



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