Course Policies | |
CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Winter 2024 | |
Rationale: 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. Course Community and Participation: 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. Time Investment: 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. Lateness: Students are allowed two late-day permissions to submit an assignment 24 hours late without a reduction in points.
However, generally
assignments turned in late will have their scores multiplied by a fraction F
that depends on the number L of days late.
If L = 0, then F = 1. If L > 0 but L ≤ 1, then F = 0.9.
If L > 1 but L ≤ 2, then F = 0.8.
If L > 2 but L ≤ 3, then F = 0.7.
If L > 3, then F = 0.0.
When you submit an assignment, be particularly careful to submit the file that
you intend to submit, and don't fail to submit all files required in that assignment.
Forgetting to submit the right version of your file could mean a zero for the whole
assignment. Canvas is good about letting you resubmit a better version of your work,
provided such resubmission is before the deadline.
Online Resources: This offering of CSE 415 makes use of the following online resources: (a) This website, hosted in the Paul G. Allen School of Computer Science and Engineering, for course information, including policies, readings, lecture slides, and assignment specifications; (b) Canvas, hosted by UWIT, for turning in assignment files, for hosting assignment feedback from the graders, and for access to Panopto recordings of lectures; (c) us.edstem.org, for online discussions; (d) Gradescope.com, for post-examination reporting; (e) Python.org, for downloading Python 3.12 (or 3.11, 3.10, 3.9, 3.8 or 3.7), which is needed in most of the assignments; and (f) Possibly, other resources. | |