CMS 273, Winter 2019
Frontiers in Computing and Mathematical Sciences
- Organizers: Richard Murray (email@example.com), E. Schmidt, S. Feldman
- Class meeting: 11 Jan (Fri), 11 am, in 107 Annenberg
The purpose of this course is to explore applications of tools from Computing and Mathematical Sciences to new problem domains. The course is organized around small teams consisting of CMS and non-CMS students who will work on projects of mutual interest in some faculty member's research area. Our main goals are for the participating CMS and science/engineering faculty to become more familiar with each other's work and expertise, and to get our graduate students interacting with one another.
The output of the course will be a short paper of the sort that could be sent to a conference. The paper should consist of a short description of the problem under study and the relevant CDS tools, followed by a preliminary set of results and a description of next steps to be pursued.
|Organizational meeting, 107 Annenberg @ 11 am
|First team meeting, 107 Annenberg @ 11 am
|Work in teams; define problem to be studied + approaches
|Midterm presentations, location and time TBD
|Work in teams
|Final presentations, location and time TBD
|Final reports due (by 5 pm)
- Mike Alvarez: Computational Social Science
- Viviana Gradinaru: Engineering viral vectors for non-invasive and specific gene delivery to the brain and body
- Tom Miller/Kaushik Bhattacharya: Machine Learnt Black Boxes for Physical and Materials Sciences
- Sarah Reisman: Machine Learning in Organic Chemistry
- Tapio Schneider: Create the First 3D Global Cloud Atlas
- Mark Simons: Satellite Radar Remote Sensing for Science, Monitoring and Disaster Response
- Doris Tsao: Understanding how the brain codes 3D objects
Units and Grading
CMS 273 is a 9 unit course, offered either graded or pass/fail. Each team is expected to complete the following:
Project presentation: each team will make a short (10 min) presentation in week 5 of the class (midterms), describing the focus of their project. Comments on these presentations will be provided to the team for incorporation in the final report.
Final report: each team will prepare a paper describing their work during the term. This should build on the midterm report by including some preliminary results and/or case studies.
In order to complete the work for the term, each team should plan on meeting at least once per week. The first team meeting will be on Wednesday, 16 Jan, at 11 am in 107 Annenberg (at which time a regular meeting time can be established by the team).