CS 131: Processing Big Data: Tools and Techniques
San Jose State University
In-depth study of essential tools and techniques for processing big data over the UNIX operating system and/or other operating systems. On UNIX, it includes using grep, sed, awk, join, and programming advanced shell scripts for manipulating big data. Prerequisite(s): CS 46B with a grade of "C-" or better; or CS 22B with a grade of "C-" or better AND graduate standing. Allowed Declared Majors: Computer Science BS, Data Science BS, MS Bioinformatics (MSBI).
Average GPA: 3.39
Grade distribution records: 776 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 35 | 4.5% |
| A | 324 | 41.8% |
| A- | 81 | 10.4% |
| B+ | 51 | 6.6% |
| B | 180 | 23.2% |
| B- | 21 | 2.7% |
| C+ | 18 | 2.3% |
| C | 37 | 4.8% |
| C- | 4 | 0.5% |
| D+ | 3 | 0.4% |
| D | 6 | 0.8% |
| D- | 1 | 0.1% |
| F | 15 | 1.9% |
Based on 776 student grade records across 9 terms and 9 professors.
Instructors
- Jelena Gligorijevic 234 students, Average GPA 3.46
- William B Andreopoulos 146 students, Average GPA 3.49
- Genya Ishigaki 111 students, Average GPA 3.15
- Quang Duy Tran 78 students, Average GPA 3.60
- Ashish Khanchandani 67 students, Average GPA 3.21
- Jessica Vy Thuy Huynh-Westfall 38 students, Average GPA 3.56
- Jyotika Hariom Patil 35 students, Average GPA 2.85
- Mohammad Parsa Hosseini 34 students, Average GPA 3.50
- Fabio di Troia 33 students, Average GPA 3.53