| Course Policies | |
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CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Winter 2018 | |
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Effective learning requires that each student be actively
engaged in the subject matter and activities of the course.
The course is structured to foster that engagement
in several ways, including working together as a community
on in-class activities,
and appropriate challenges in assignments and the project.
All the students in CSE 415, the teaching assistants, and the instructor form a community. As a community, we can work together to help each other learn. The first step in allowing this to happen is for each person to be present at class meetings. Regular attendance in class is strongly encouraged, and systematic absences will have a direct effect on the class-participation part of the course grade. As for most three-credit courses at the University of Washington, students are expected to devote approximately 9 productive hours to the course per week. Actual demands will vary with the material and individual student. Each student is required to stay up to date with assignments, in order for the class to work as a community. By using (virtual) "late day tokens", We are able to offer some flexibility with assignment deadlines. Each student is given 8 tokens at the beginning of the quarter. Up to two tokens may be used for any given assignment. After using two tokens, additional lateness will result in 50 % off for up to one more day late. After that, no credit will be awarded for that assignment. To avoid ambituity, the timing for these will be applied strictly. Each student will have at least one opportunity to work in a partnership on an assignment to implement a demonstration of one or more techniques of artificial intelligence. Except when explicitly permitted, students are expected to turn in their own individually produced solutions to homework problems. Turning in the work of another as one's own is considered as a serious form of academic misconduct. The University has strict rules and penalties that apply when evidence of such misconduct is found. The following is a tentative formula for weighting the various course components for computing final grades:
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