EE 016: DATA ANALYSIS FOR ENGINEERING APPLICATIONS
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 010B. Covers essential algorithms and data structures, elements of numerical data processing, linear algebra, and statistical analysis. Encompasses multiple engineering areas such as sensor interfacing, signal and image processing, pattern recognition, robotics, and intelligent systems. Introduces the use of Python programming language.
Average GPA: 3.46
Grade distribution records: 470 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 48 | 10.2% |
| A | 127 | 27.0% |
| A- | 128 | 27.2% |
| B+ | 47 | 10.0% |
| B | 63 | 13.4% |
| B- | 16 | 3.4% |
| C+ | 17 | 3.6% |
| C | 7 | 1.5% |
| C- | 1 | 0.2% |
| D+ | 1 | 0.2% |
| D | 2 | 0.4% |
| D- | 1 | 0.2% |
| F | 10 | 2.1% |
| W | 2 | 0.4% |
Based on 470 student grade records across 9 terms and 3 professors.
Instructors
- Jia Chen 131 students, Average GPA 3.36
- Samet Oymak 33 students, Average GPA 2.98
- Ankith Jain Rakesh Kumar 28 students, Average GPA 3.51