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.
Individual Exercises
Unless explicitly stated otherwise, all lab exercises
are to be done individually.
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:
Unless noted otherwise, assignments should be submitted
on paper, usually by completing the sheet with the description
of the exercise.
Deadline and Late Submissions
In general, the deadline for an assignment is at the end
of the second lab period for the respective week.
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.