CS-4884: Computational Biology and Bioinformatics Capstone
Description: Advanced topics in computational biology and bioinformatics (CBB). Team-based approach to solving open-ended problems in CBB. Projects drawn from areas of expertise in the department, e.g., algorithms for CBB, computational models for biological systems, analysis of structure-function relationships in biomolecules, genomic data analysis and data mining, computational genomics, systems biology. Design, implementation, documentation and presentation of solutions. A grade of C or better required in CS prerequisite 3824.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.68 (A-)
Strict A Rate (No A-) : 48.92%
Average Withdrawal Rate: 0.98%
| Lenwood S Heath | 2016 | 83.3% | 16.7% | 0.0% | 0.0% | 0.0% | 0.0% | 3.88 | 1 |
| Liqing Zhang | 2018 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.75 | 2 |
| T M Murali | 2022 | 69.7% | 20.6% | 5.9% | 0.0% | 2.0% | 2.0% | 3.57 | 3 |