In this course we will start from the neuroscience fundamentals and move up. We will augment the instruction with a lab each week, in which you will play with your very own brain-computer interface, understanding the components involved. Through this process you will get a sense of the technology involved, its potential, and its limits.
We will meet 2 times a week, once for lecture and once for lab. Lecture will be 1 hour of theory and overview, while lab will be 2 hours working on practical applications.
(Lecture is Mondays 6-7pm, while Lab is Tuesdays 5-7pm)
Students are graded based on attendance and completion of final project. In order to receive a P in the class, they need to attend at least 8 out 12 Lectures and 7 out of 9 labs (not including final project labs), and complete and present a final project related to Neurotechnology and/or Brain-Computer Interfaces.
You can get a sense of the class by looking over the syllabus:
http://neurotechberkeley.org/course_schedule.html
Requirements: Basic programming knowledge at the level of CS61A (preferably CS61B). Recommended signals & system knowledge at level of EE16A/B, but not required.
No day(s) left until application deadline!
Section | Facilitator | Size | Location | Time | Starts | Status | CCN(LD) | CCN(UD) |
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The only section | Pierre Karashchuk, Tomás Vega | 20 | 2305 Tolman Hall | [M, Tu] 5:00PM-7:00PM | 01/30/2017 | Full | 21874 | 21874 |
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