Logistics
Grading Policy
The course grade will be based on the following components:
- Homework (30%): Three homework assignments covering theoretical concepts and practical implementations
- HW1: writing assignment (10%)
- HW2: writing assignment (10%)
- HW3: coding assignment (10%)
- Midterm Exam (30%): Written exam covering the first half of the course material
- Course Project (40%): Hands-on project with the following breakdown:
- Project Proposal (5%)
- Milestone 1 (5%)
- Milestone 2 (5%)
- Project Presentation (10%)
- Final Report (15%)
Course Communication
We will use the following platforms for course communication:
- Courseworks: Course materials, assignments, and grades
- Ed Discussion: Course discussions and Q&A
- Calendly: Office hour scheduling
Office Hours
Office hours will be available through Calendly scheduling:
- Prof. Yunzhu Li: Friday 9:00-11:00 AM
- Yuan Fang (TA): Thursday 10:30-11:30 AM
- Kaifeng Zhang (TA): Wednesday 9:00-11:00 AM
- Hanxiao Jiang (TA): Tuesday 9:00-11:00 AM
All office hours are 15-minute slots that can be scheduled through Calendly links provided by each instructor.
Computing Resources
The course will provide access to computing resources for assignments and projects: (To be determined)
- Google Cloud: Cloud computing resources for the project
- Google Colab: For homework coding assignment
Academic Integrity
All work that you submit should be written solely by you and your group, and you should cite any significant sources of ideas. If any part of your project builds upon efforts before the semester (e.g., your ongoing research project), be sure to discuss with the instructor in advance. Plagiarism and other integrity violations will go on record at the university, and the minimum penalty will be a zero for the entire assignment. See the student code for more information on what constitutes an academic integrity violation.
The use of artificial intelligence tools (such as ChatGPT) in this class shall be permitted on a limited basis. AI writing tools can only be used for grammar checking, spelling fixing, and language polishing. They should not be used to replace your critical thinking and idea generation. You are also welcome to seek my prior-approval to use these tools on any assignment. In either instance, AI writing tools should be used with caution and proper citation, as the use of AI should be properly attributed.
For assignments involving generative AI tools:
- You may use generative AI tools, but you must clearly explain how you used them
- All work must be your own understanding and implementation
- Proper citation of any AI tools or external resources is required
Important Dates
- Homework 1 Due: Week 4 (Sep 26 23:59 ET)
- Project Proposal Due: Week 5 (Sep 29 23:59 ET)
- Homework 2 Due: Week 7 (Oct 12 23:59 ET)
- Midterm Exam: Week 8 (Oct 15 23:59 ET)
- Milestone 1 Due: Week 9 (Oct 22 23:59 ET)
- Homework 3 Due: Week 11 (Nov 5 23:59 ET)
- Milestone 2 Due: Week 13 (Nov 17 23:59 ET)
- Project Presentations: Weeks 15-16 (Dec 1-8 23:59 ET)
- Final Report Due: Dec 15