BME 558: Intro to Brain Machine Interfaces

This course aims for understanding the emerging field of Brain Machine Interfaces (BMI). After the completion of this course the students will have working knowledge of what BMIs are, how they are designed, implemented and tested. The core modules of BMI are data acquisition, decoding and application. Each of these modules will be expanded in detail. A common midterm project will be assigned to all the students. Then the students are expected to select a specialized topic, do a final project and write a term paper towards the final week. This course serves as an introduction to this emerging field.

 

BM1050: Introduction to Brain Computer Interfaces (at IIT, Hyderabad, India)

This course aims for understanding the emerging field of Brain Machine Interfaces (BMI). After the completion of this course the students will have working knowledge of what BMIs are, how they are designed, implemented and tested. The core modules of BMI are data acquisition, decoding and application. Each of these modules will be expanded in detail. A common midterm project will be assigned to all the students. Then the students are expected to select a specialized topic, do a final project and write a term paper towards the final week. This course serves as an introduction to this emerging field.

 

Upcoming: Computational Methods in Neural Engineering

Biomedical Engineering is at a critical juncture. In the past few decades, the essentially biological nature of the field has been infused by the tools provided by mathematics. At first, the use of mathematics was mostly methodological in nature—primarily aiding the analysis of data. Soon, this influence turned conceptual, framing the very issues that characterize modern biomedical engineering today. Many quantitative methods applied to biology were pioneered by nonbiologists with a background in physics, engineering, mathematics, statistics, and computer science, that inspired modern biologists to include these tools in mainstream. The effect of mathematics in the biological sciences has been very positive. Moreover, we believe that our science is and will continue to be one that is computational at its very core. This course serves as an introduction to often used computational methods in Biomedical Engineering. This can serve as both undergraduate seniors and graduate students.

 

BME 181: Special Topics in Biomedical Engineering

This special topics course introduces undergraduate students to research in Biomedical Engineering. This is group taught by faculty of Biomedical Engineering. In this course, Dr. Vinjamuri teaches Brain Computer Interfaces.

 

PIN 183D: Pinnacle Scholars Course in Bioinnovation

This course will explore content specific to bioinnovation and will provide students with the opportunity to research one of four themes - (1) Prosthesis (2) Neural/ Tissue Engineering (3) Artificial Intelligence and (4) Genetics. Pinnacle Scholars will also learn about and discuss subjects including, but not limited to, state-of-the-art research on campus, conducting research, and international research experiences.

 

BME 306: Intro to Biomedical Engineering

This is a course that introduces students to Biomedical Engineering concepts. This is group taught by faculty of Biomedical Engineering. In this course, Dr. Vinjamuri teaches Prosthetics and Neural Prosthetics.

 

BME 322: Intro to Biomedical Instrumentation

This course introduces student to biomedical instrumentation. Starting from the basics of Electrical Engineering it teaches the students applications of circuit level and then system level modeling and applications. The course closes with a project where students use the skills they have learnt in the course to control a virtual prosthetic limb over the network using state machine controls in MATLAB SIMULINK.