CS-3824: Introduction to Computational Biology and Bioinformatics
Description: Introduction to computational biology and bioinformatics (CBB) through hands-on learning experiences. Emphasis on problem solving in CBB. Breadth of topics covering structural bioinformatics; modeling and simulation of biological networks; computational sequence analysis; algorithms for reconstructing phylogenies; computational systems biology; and data mining algorithms. Pre-requisite: Grade of C or better in CS 3114.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 15
Average GPA: 3.43 (A-)
Strict A Rate (No A-) : 41.16%
Average Withdrawal Rate: 3.91%
| Liqing Zhang | 2023 | 73.4% | 20.6% | 1.1% | 1.6% | 1.4% | 2.0% | 3.62 | 8 |
| Lenwood S Heath | 2021 | 49.8% | 30.6% | 10.1% | 1.1% | 3.4% | 5.1% | 3.28 | 6 |
| T M Murali | 2022 | 31.2% | 24.9% | 25.0% | 0.0% | 6.2% | 12.5% | 2.84 | 1 |