CS 123B: Bioinformatics II
San Jose State University
Advanced Bioinformatics algorithms, tools, databases. Biological background; protein structure/function; sequencing technology; sequence identification; transcriptomics; metagenomics; CRISPR. Possible additional topics: functional genomics; protein networks; drug discovery; pathway analysis; immunoinformatics; analysis pipelines; machine learning applications. Project applying advanced approaches to real-world problems. Prerequisite(s): CS/BIOL 123A. Allowed Majors: Computer Science, Data Science, Software Engineering, Biology, Chemistry or MS Bioinformatics.
Average GPA: 3.50
Grade distribution records: 176 students across 11 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 32 | 18.2% |
| A | 47 | 26.7% |
| A- | 34 | 19.3% |
| B+ | 17 | 9.7% |
| B | 28 | 15.9% |
| B- | 7 | 4.0% |
| C+ | 4 | 2.3% |
| C | 2 | 1.1% |
| C- | 1 | 0.6% |
| F | 4 | 2.3% |
Based on 176 student grade records across 11 terms and 3 professors.
Instructors
- Philip Heller 88 students, Average GPA 3.47
- Mei-Chong Wendy Lee 49 students, Average GPA 3.50
- Leonard P Wesley 39 students, Average GPA 3.57