Public profile
Research areas
Computer Engineering, Data Science, Neuroengineering, signal processing
Electrical and Computer Engineering
Associate Professor, Electrical and Computer Engineering
Associate Professor, Bioengineering
Average rating
3.7
15 temporary mock ratings
Difficulty
2.9
course-linked average
Courses
7
in seeded sections
Computer Engineering, Data Science, Neuroengineering, signal processing
APPL 800
Thesis research under the supervision of faculty. Repeatable for Credit.
BIOE 380
This course will serve as an introduction to quantitative modeling of neural activity and the methods used to stimulate and record brain activity. Cross-list: ELEC 380, ELEC 587, NEUR 383.
ELEC 380
This course will serve as an introduction to quantitative modeling of neural activity and the methods used to stimulate and record brain activity. Cross-list: ELEC 587, BIOE 380, NEUR 383. Mutually Exclusive: Cannot register for ELEC 380 if student has credit for ELEC 587.
ELEC 490
Theoretical and experimental investigations under staff direction. A research project plan should be prepared and approved by the faculty member advising the project. Information about ELEC 490 project plans is available on the ECE Web site on the Academics section under ECE forms. May be repeated for a total of 6 credit hours for undergraduates. Repeatable for Credit.
ELEC 587
This course will serve as an introduction to quantitative modeling of neural activity and the methods used to stimulate and record brain activity. Additional coursework required beyond the undergraduate course requirements. Cross-list: ELEC 380, BIOE 380, NEUR 383. Mutually Exclusive: Cannot register for ELEC 587 if student has credit for ELEC 380.
ELEC 800
Repeatable for Credit.
NEUR 383
This course will serve as an introduction to quantitative modeling of neural activity and the methods used to stimulate and record brain activity. Cross-list: ELEC 380, ELEC 587, BIOE 380.