Project in Computer Science: Artificial Intelligence
(Information on this page is tentative)
Overview
Students will work in teams to plan, design, implement, test, and document an AI system on a problem of their choice in modern AI. Topics will cover key aspects of the pipeline of building AI systems. Beyond technical implementation, students will also develop professional skills and reflect on the ethical and societal implications of the systems they build.
Official description in the catalog: 4 Units, Discussion, 1 hour; laboratory, 3 hours; research, 3 hours; extra reading, 3 hours. Prerequisite(s): CS 100, CS 111, and CS 170 with grades of “C-” or better; ENGR 180W; 8 additional upper-division units in Computer Science. Covers the planning, design, implementation, testing, and documentation of an artificial intelligence-related system. Incorporates techniques presented in previous related courses. Emphasizes professional and ethical responsibilities; the need to stay current on technology; and its global impact on economics, society, and the environment.
Course Details
Instructor: Zhouxing Shi
- Email: zhouxing.shi@ucr.edu
- Office hours: TBD, at WCH 356 (within 351)
TA: TBD
Discussion: M 5-5:50 PM at Bourns Hall, Room A125
Lab: F 3-5:50 PM or 6-8:50 PM, at UG Teaching Learning Facility
Tentatitive Schedule
| Week | Date | Discussion (Monday) | Date | Lab (Friday) |
|---|---|---|---|---|
| 1 | 9/28 | Introduction | 10/2 | Form a team |
| 2 | 10/5 | Data | 10/9 | Work on project proposal; set up environment |
| 3 | 10/12 | Modeling | 10/16 | Work on the project |
| 4 | 10/19 | Midterm presentations | 10/23 | Work on the project |
| 5 | 10/26 | Midterm presentations | 10/30 | Work on the project |
| 6 | 11/2 | Tentative Guest Lecture: Justin Cui (World Labs) | 11/6 | Work on project (aim to have an initial implementation done) |
| 7 | 11/9 | Evaluation and error analysis | 11/13 | Work on the project (analysis and improvement) |
| 8 | 11/16 | Responsible AI | 11/20 | Work on the project (demo and responsible AI) |
| 9 | 11/23 | Final presentations | 11/27 | [No Class] Thanksgiving |
| 10 | 11/30 | Final presentations | 12/4 | Finishing up the project |
Grading
Overview:
- Participation (attendance and peer reviews): 20%
- Proposal: 10%
- Midterm presentation: 10%
- Final presentation: 10%
- Final submission: 50%
Conduct and Academic Integrity
See https://conduct.ucr.edu for details. Here at UCR we are committed to upholding and promoting the values of the Tartan Soul: Integrity, Accountability, Excellence, and Respect. As a student in this class, it is your responsibility to act in accordance with these values by completing all assignments in the manner described, and by informing the instructor of suspected acts of academic misconduct by your peers. By so doing, you will not only affirm your own integrity, but also the integrity of the intellectual work of this University, and the degree which it represents. Should you choose to commit academic misconduct in this class, you will be held accountable according to the policies set forth by the University, and will incur appropriate consequences both in this class and from Student Conduct and Academic Integrity Programs. For more information regarding University policy and its enforcement, please visit: conduct.ucr.edu.