Interdisciplinary Training in Four Topic Areas

Neural Interface Design

Neural Analysis & Modeling

Neurophysiology

 

Neuroprostheses/Neurorobotics

Course Offerings by Category

Core Courses:

  • Mathematical Tools for Neural Data Analysis and Modeling (ECE 5535/6535)
  • Computational Neuroscience (BME 5005/6005)

Elective Courses:

  • Biological Statistical Processing (BME 5433/6433)
  • Digital Signal Processing (ECE 5530/6530)
  • Deep Learning (CS 5353/6353)
  • Artificial Intelligence (CS 4300/6300)
  • Information Theory (ECE 6520)
  • Estimation Theory (ECE 6540)
  • Advanced Scientific Computing (CS 6210)
  • Mathematical Statistics (MATH 6070)
  • Advanced Dynamical Systems (MATH 6440)
  • Numerical Solutions of Partial Differential Equations (MATH 6630)
  • Bifurcation Theory (MATH 6740)
  • Mathematical Biology I (MATH 5110/6770)
  • Mathematical Biology II (MATH 5120/6780)

Program Requirements

Fundamental Course: No fundamental courses are required at the graduate level. Your graduate committee may request you complete additional coursework to fulfill proficiency requirements your Bachelor's degree is not in engineering or a quantitative/computational science.

Core Courses: Take four core course from at least four different categories (i.e., one course from each of the four categories).

Elective Courses: Take two elective courses from at least two different categories (e.g., one course from "Neural Interfaces" and one course from "NeuroRobotics"). Additional core courses can also be used as elective courses (e.g., if you already took "Computational Neuroscience" as a core course, "Neural Data Analysis and Modeling" would count as an elective).

Seminars: Complete at least 2 semesters of seminar courses.

Project: Complete at least 1 credit of project coursework or a project-intensive course.

Overall Credit Requirement: Complete 20 total credits. Credits can come from core courses, elective courses, seminars, projects. Maximum of 2 seminar credits allowed. Maximum of 6 project credits allowed.

GPA Requirement: Minimum of B- grade in all certificate course and average GPA of 3.0 or higher in all certificate courses.