This is a capstone course. Every student will work on an indiviudal research project. We don't recommend group projects.
Prerequisites: Students entering the class should be comfortable with programming and should have a pre-existing working knowledge of linear algebra (MATH 308), vector calculus (MATH 126), probability and statistics (CSE 312/STAT390), and algorithms. For a brief refresher, we recommend that you consult the linear algebra and statistics/probability reference materials on the Textbooks page.
Grading: Your grade will be based on course project (80%), participation in classes (10%), participation in Research Showcase (10%).
Course project: Every student needs to work on an individual project (not as a team, but we will have lots of discussion in the class). Every student might need to briefly update the project progress in every class. Milestone: mid-term presentation, final presentation, final project report.
Research Showcase: 45-minute invited presentation about ongoing computational biology research by Allen School PhD students and the instructor.
Date | Topic | Content | Discussion |
---|---|---|---|
3/28 | Welcome/overview. Introduction to CSE428. (Sheng) | Sheng will give a brief overview and discuss research projects with each student. | Identify 3 papers for further consideration |
4/4 | Project topic presentation (students) | Every student will present the paper they want to study. | Why is this problem significant? |
4/11 | Project updates (discuss briefly, slides are not required) | Goal: reproduce the paper. Understand the dataset, task, evaluation setting and metrics. | Is the evaluation rigorous? |
4/18 | Project updates (discuss briefly, slides are not required) | Goal: reproduce the paper. Figure out the limitation of the current method. | Is the limitation easy to address? Can the limitation be addressed by existing resources (e.g., dataset, GPUs)? |
4/25 | Project idea presentation (students) | How are you going to improve this paper given the limitation you identified in previous weeks? | Is your idea sound and doable? What is the potential pitfall? |
5/2 | Project updates (discuss briefly, slides are not required) | Do you have enough resources to implement this idea? | |
5/9 | Working time + Research Showcase | Foundation models for ophthalmology. | First 45 minutes will be a research showcase talk by Allen School PhD student. Students can schedule Zoom meeting with Sheng to debug your projects. Mon, Wed, Fri night 8-10pm PST time. |
5/16 | Working time + Research Showcase | Foundation models for CT-based heart transplant. | First 45 minutes will be a research showcase talk by Allen School PhD student. Students can schedule Zoom meeting with Sheng to debug your projects. Mon, Wed, Fri night 8-10pm PST time. |
5/23 | Most of the work are done. | what other analysis can you perform? Corner case? | |
5/30 | Final project presentation (students) |