Graduate Preparation
Every graduate student in Bioelectrical Engineering is free to plan an individual program of study subject to the advice and consent of his faculty counselor and research advisor. A sample of courses that fall within each sub-area is listed below.
Cellular and Molecular Engineering
- 6.581 (Algorithms and Computational Techniques in Systems Biology – not on grid)
- 6.561 (Fields, Forces and Flows in Biological Systems)
- 6.582 (Molecular Simulations)
- 6.580J (Synthetic Biology)
- 6.524J (Molecular, Cellular, and Tissue Biomechanics)
- 6.521 (Cellular Biophysics)
- 6.874 (Computational Systems Biology)
Medical Imaging
- 6.341 (Discrete-Time Signal Processing)
- 6.556J (Data Acquisition and Image Reconstruction in MRI)
- 6.631 (Optics and Photonics)
- 6.555J (Biomedical Signal and Image Processing)
- 6.637 (Optimal Signals, Devices, and Systems)
Medical Devices and Microsystems
- 6.522 (Quantitative Physiology)
- 6.561 (Fields, Forces and Flows in Biological Systems)
- 6.376 (Ultra Low Power Bioelectronics)
- 6.777J (Design and Fabrication of Microelectromechanical Systems)
- 6.775** (CMOS Analog and Mixed-Signal Circuit Design)
Clinical Inference and Learning in Medicine
- 6.436J (Fundamentals of Probability)
- 6.437 (Inference and Information)
- 6.438 (Algorithms for Inference)
- 6.867 (Machine Learning)
- 6.872 (Biomedical Computing)
Physiological Modeling
- 6.521 (Cellular Biophysics)
- 6.522 (Quantitative Physiology)
- 6.345 (Automatic Speech Recognition)
- 6.863 (Natural Language and the Computer Representation of Knowledge)
- 6.551 (Acoustics of Speech and Hearing)
- 6.555J (Biomedical Signal and Image Processing)

Image from Prof.Collin Stultz
