ICME offers a variety of 1-unit short courses. The courses include 10 hours of classroom instruction and 20 hours of individual or group work. The goal of each short course is to quickly and effectively teach material that is useful in a variety of other courses and also many areas of research. The course instructors are typically advanced graduate students with exceptional teaching experience and passion for the course subject matter.
We are very interested in feedback from the Stanford community as we expand our short course offerings. Please email nwh@stanford.edu if you have any questions or comments.
2015-2016 Short Courses
| Course # | Title | Quarters | Links |
|---|---|---|---|
| CME 151 | Data Visualization | Aut, Win, Spr | (explore courses) (webpage) |
| CME 192 | Introduction to Matlab | Aut, Win, Spr | (explore courses) (webpage) |
| CME 193 | Introduction to Scientific Python | Aut, Win, Spr | (explore courses) (webpage) |
| CME 195 | Introduction to R | Aut, Spr | (explore courses) |
| CME 250 | Introduction to Machine Learning | Aut, Win, Spr | (explore courses) (webpage) |
| CME 252 | Introduction to Optimization | Aut | (explore courses) |
| CME 253 | Introduction to GPU Computing and CUDA | Not offered in 2015-16 | |
| CME 257 | Advanced Topics in Scientific Computing with Julia | Aut | (explore courses) |
