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.

6180. Computational Foundations of Systems Biology

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Focuses on studying dynamic and intelligent features (e.g., adaptation and robustness) of biological systems such as gene networks. Emphasizes the tools and methods of computational systems biology come from other computation-oriented fields such as computational physics, digital signal processing, control engineering, and digital logic. Programming using MATLAB, LabVIEW, and C# in the context of modeling, analyzing, estimating, and controlling real biological systems. Through a variety of assignments and projects, students will obtain a deeper understanding of physical and engineering principles applied to biological systems. Students will also read and present journal articles on topics covered in class, which will expose them to interdisciplinary research and views.


Last Refreshed: 20-SEP-19 05.20.20.002631 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 Grading Basis Notes
Spring 2020 12096 Storrs In Person Shin, Yong 001 Reg We 5:00pm‑7:30pm
0/10 Graded Combined with BME 4401-001, CSE 4095-002, and CSE 5095-005