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: 6
Average GPA: 3.36 (rounds to B+)
Strict A Rate (No A-) : 37.73%
Average Withdrawal Rate: 2.84%
| T M Murali | 2022 | 31.2% | 24.9% | 25.0% | 0.0% | 6.2% | 12.5% | 2.84 | 1 |
| Liqing Zhang | 2023 | 70.0% | 27.1% | 3.0% | 0.0% | 0.0% | 0.0% | 3.60 | 3 |
| Palash Sashittal | 2024 | 56.3% | 37.6% | 0.0% | 0.0% | 6.3% | 0.0% | 3.34 | 1 |
| Lenwood S Heath | 2021 | 68.2% | 9.2% | 4.6% | 0.0% | 13.7% | 4.5% | 3.18 | 1 |