Teaching

BME-220: Sensory Motor Systems (in Fall, core class, 4 units)

A quantitative and systems approach to understanding physiological systems. Systems covered include the nervous and musculoskeletal systems.

BME 230B: Advanced Engineering Math (in Winter, core class, 4 units)

This course will provide the graduate student in Engineering and Physical Sciences with the knowledge and understanding for analyzing and simulating biomedical systems on computers: descriptive statistics, linear and non-linear regression; interpolation, approximation; linear and non-linear optimization; numerical solution of partial differential equations, introduction to finite element analysis.

BME-234: Neuroimaging Data Analysis (in Spring, elective class, 4 units)

This course will provide the graduate student with the knowledge and understanding of recent techniques for the analysis of anatomical and functional neuroimaging data. Due to the interactive nature of the topic, all interested students involved in neuroimaging experiments (e.g., in Engineering, Cognitive Neuroscience, Social Sciences and related fields) are welcome to attend. A series of lectures provides a general introduction and overview required to understand current literature on this subject. In the second part of this course, students will report and summarize on specific topics of the recent literature in a seminar format.

BME 199: Undergraduate Lab Projects (all year)

Assist in neurobiological studies analysing anatomical and functional brain data. The student will be involved with image analysis techniques, outlining of neuroanatomical structures, evaluation of group data on cluster computers, programming in C/C++ & Unix shell scripts. Must be interested in lab research, neuroanatomy, working with computers, and motivated to complete an independent project. 3-5 units, 10-20 hours per week. Feel welcome to contact us for specific information.

BME 296: M.S. Thesis Research and BME 296: Ph.D. Thesis Research (all year)

The student will develop, implement and document an innovative data processing scheme for the analysis of anatomical and/or functional brain data. Experience in image and signal processing, C/C++/Matlab programming in a Linux environment and motivation to complete an independent project are required. Feel welcome to contact us for specific information.

BME 299: Graduate Lab Projects (all year)

Graduate students are invited to take a closer look at advanced methods for analysing biomedical data. Short and long-term projects are available. Experience in image and signal processing, C/C++/Matlab programming in a Linux environment and motivation to complete an independent project are required. Feel welcome to contact us for specific information.