CS 144: ALGORITHMS FOR BIOINFORMATICS
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 141. Introduces fundamental algorithms and data structures for solving analytical problems in molecular biology and genomics. Includes exact and approximate string matching; sequence alignment; genome assembly; and gene and regulatory motifs recognition. Credit is awarded for one of the following CS 144, CS 234, or CS 238.
Average GPA: 3.66
Grade distribution records: 210 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 78 | 37.1% |
| A | 45 | 21.4% |
| A- | 25 | 11.9% |
| B+ | 22 | 10.5% |
| B | 9 | 4.3% |
| B- | 18 | 8.6% |
| C+ | 1 | 0.5% |
| C | 4 | 1.9% |
| F | 1 | 0.5% |
| S | 3 | 1.4% |
| W | 4 | 1.9% |
Based on 210 student grade records across 6 terms and 1 professor.
Instructors
- Stefano Lonardi 132 students, Average GPA 3.64