Certificate in Neural Engineering-Systems
The Certificate in Neural Engineering-Systems will enable students to gain both a fundamental and applied understanding of brain signals, a rapidly growing component of neural big-data research. The program includes the study of basic concepts related to modeling the nonlinear electrical circuits in the brain which use concepts from signal processing, modeling and control. Students will gain expertise in understanding the fundamentals required for the design of neural prostheses, and brain machine interfaces.
Requirements
A total of 12 credit hours are required to obtain the certificate. At least one course must be neuro-related.
| Core Courses (at least 6 credit hours) | ||
| BIOL_EN 4540 | Neural Models and Machine Learning | 3 |
| or BME 4540 | Neural Models and Machine Learning | |
| ECE 4310 | Feedback Control Systems | 3 |
| or BIOL_EN 4310 | Feedback Control Systems | |
| or MAE 4750 | Classical Control | |
| ECE 4590 | Computational Neuroscience required | 4 |
| or BIOL_EN 4590 | Computational Neuroscience | |
| or BIO_SC 4590 | Computational Neuroscience | |
| or BME 4590 | Computational Neuroscience | |
| or CMP_SC 4590 | Computational Neuroscience | |
| Support Courses (at least 6 credit hours) | ||
| Any of the three courses listed above not taken | ||
| PSYCH 2210 | Mind, Brain, and Behavior | 3 |
| ECE 2017 | World of Neuroscience | 1 |
| or CMP_SC 2017 | World of Neuroscience | |
| MPP 3202 | Elements of Physiology | 5 |
| ECE 4830 | Introduction to Digital Signal Processing | 3-4 |
| BIOL_EN 4070 | Bioelectricity | 3 |
| BIOL_EN 4075 | Brain Signals and Brain Machine Interfaces | 3 |