Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

6086. Special Topics In Biomedical Engineering

1.00 - 6.00 credits | May be repeated for a total of 30 credits.

Prerequisites: None.

Grading Basis: Graded

Classroom and/or laboratory courses in special topics as announced in advance for each semester.


Last Refreshed: 08-JUN-23 05.20.25.358405 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2023 4991 Storrs In Person Kumbar, Sangamesh
Ruikar, Aditya
001 Reg Mo 2:00pm‑5:00pm
16/30 PBB 131 3.00 Graded
Spring 2023 7850 Storrs In Person Nguyen, Thanh 004 Reg TuTh 3:30pm‑4:45pm
7/15 MCHU 205 3.00 Graded
Spring 2023 5088 Storrs In Person 005 Reg 0/10 3.00 Graded
Spring 2023 16721 Storrs In Person Liu, Changchun 006 Reg We 2:30pm‑5:30pm
4/10 CAST 204 3.00 Graded
Spring 2023 8264 Storrs In Person Gupta, Kshitiz 007 Reg Mo 4:40pm‑7:10pm
8/10 E2 323 3.00 Graded
Spring 2023 5923 Storrs In Person Zheng, Guoan 009 Reg Tu 5:00pm‑7:30pm
5/15 E2 323 3.00 Graded
Spring 2023 5219 Storrs In Person Javidi, Bahram 015 Reg Mo 2:00pm‑5:00pm
0/5 ITE C25 3.00 Graded
Spring 2023 16435 Storrs In Person Schmidt, Tannin 019 Reg We 11:15am‑2:15pm
11/20 E2 323 3.00 Graded
Spring 2023 7246 Storrs Distance Learning Dealy, Caroline
Sumsky, Stefan
022 Reg Tu 11:00am‑12:00pm
8/15 No Room Required - Online 1.00 Graded
Spring 2023 7263 Storrs In Person Shahbazmohamadi, Sina 023 Reg Mo 3:00pm‑6:00pm
4/10 CHM T213 1.00 - 6.00 Graded
Spring 2023 10012 Storrs In Person Zhang, Yi 024 Reg TuTh 3:30pm‑4:45pm
8/25 CHM T112 3.00 Graded
Spring 2023 10283 Storrs In Person Tamayol, Ali 026 Reg Tu 12:30pm‑3:00pm
8/10 BRON 320 3.00 Graded
Fall 2023 8357 Storrs In Person Bolkhovsky, Jeffrey 001 Reg Tu 6:00pm‑9:00pm
0/5 CHM T113 3.00 Graded
Fall 2023 12330 Storrs In Person Posada-Quintero, Hugo 003 Reg Mo 3:15pm‑5:45pm
0/15 CHM T113 3.00 Graded
Fall 2023 13919 Storrs In Person Chon, Ki 005 Reg TuTh 4:00pm‑5:15pm
0/20 BRON 124 3.00 Graded Numerical analyses of Biological Data. A unified mathematical/time series framework for modeling and mining biological data. Applications range from cardio-respiratory, renal blood pressure/flow and sequence (DNA, RNA, proteins) to gene expression data. Tools of data analysis include linear algebra, interpolation and extrapolation, parametric and nonparametric spectral estimation with the FFT and singular value decomposition, statistical description of data and integration of ordinary differential equations. Special focus will be placed on the use of linear and nonlinear numerical methods for the identification of physiological system dynamics and the development of computer simulation techniques to study dynamic response of physiological systems.
Fall 2023 12476 Storrs Hybrid Kim, Insoo 008 Reg Th 2:00pm‑4:45pm
0/10 GENT 436 1.00 - 6.00 Graded
Fall 2023 7031 Storrs In Person Zheng, Guoan 010 Reg Th 5:00pm‑7:30pm
0/25 UTEB 150 3.00 Graded
Fall 2023 8542 Storrs Online Asynchronous Davis-Smith, Carol
Kaputa, David
022 Reg 12:00am‑12:00am
10/25 1.00 Graded
Fall 2023 9531 Storrs In Person Pandey, Rishikesh 023 Reg We 5:00pm‑7:30pm
0/15 BRON 124 3.00 Graded