Classes
Main content start
We conduct a range of systems and computational neuroscience, systems and algorithmic engineering, and BCI translational research. There are many relevant courses, in several departments, and there are no 'right' or 'wrong' courses to take because diversity is a wonderful hallmark of this interdisciplinary research. In order to be helpful -- as UGs, Grads and Postdocs often wonder what courses they should consider -- here is a list of some courses.
- < Note: list not yet complete >
- Department of Bioengineering
- Courses & Descriptions
- BioE 301P Research Data & Computation. url
- Department of Computer Science
- Department of Electrical Engineering
- Courses & Descriptions
- EE101A Circuits I
- E101B Circuits II
- EE102A Signal Processing and Linear Systems I
- EE102B Signal Processing and Linear Systems II
- EE103 Intro to Matrix Method
- EE114/214A Fundamentals of Analog Integrated Circuit Design
- EE116 Semiconductor Device Physics
- EE122A Analog Circuits Lab
- EE122B Introduction to Biomedical Electronics
- EE124 Introduction to Neuroelectrical Engineering
- Prof. Krishna Shenoy, Winter quarters. url
- EE169 Intro to Bioimaging
- EE225 Biochips and Medical Imaging
- EE230 Biophotonics: Light in Biology
- EE263 Intro to Dynamical Systems
- EE264 Digital Signal Processing
- EE278 Intro to Statistical Signal Processing
- EE304 Neuromorphics: Brains in Silicon
- EE331 Biophotonics: Light in Medicine and Biology
- EE364A Convex Optimization
- EE369B Medical Imaging Systems II
- EE369C Medical Image Reconstruction
- EE373A Adaptive Signal Processing
- EE378A Statistical Signal Processing
- EE378B Inference, Estimation, and Information Processing
- Department of Neurobiology
- Courses & Descriptions
- NBIO227
- Neurosciences PhD Program
- Courses & Descriptions
- NEPR203
- NEPR205
- NEPR207
- NEPR208
- NEPR212
- Department of Neurosurgery
- Courses & Descriptions
- NSUR239
- NSUR249
- Department of Statistics