CS 009A: DATA ORIENTED INTRODUCTION TO COMPUTING I
University of California, Riverside
4 Units, Lecture, 3 hours; laboratory, 2 hours; individual study, 1 hour. Prerequisite(s): MATH 004, may be taken concurrently or MATH 005A, may be taken concurrently or MATH 006A, may be taken concurrently or MATH 006B, may be taken concurrently or MATH 007A, may be taken concurrently or MATH 009A, may be taken concurrently or MATH 09HA, may be taken concurrently or MATH 022, may be taken concurrently. Covers computational thinking, problem-solving, and data analysis using the Python language through application-based data manipulation tasks from science, engineering, business, and the humanities. Includes variables, expressions, branches, loops, functions, parameters, lists, strings, file I/O, and exception handling. Also covers software design, testing, and debugging. Credit is awarded for one of the following CS 009A or CS 010A. Credit is not awarded for CS 005 or CS 008 if it has already been awarded for CS 009A.
Average GPA: 3.04
Grade distribution records: 2,386 students across 21 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 457 | 19.2% |
| A | 556 | 23.3% |
| A- | 152 | 6.4% |
| B+ | 182 | 7.6% |
| B | 269 | 11.3% |
| B- | 85 | 3.6% |
| C+ | 125 | 5.2% |
| C | 139 | 5.8% |
| C- | 48 | 2.0% |
| D+ | 55 | 2.3% |
| D | 62 | 2.6% |
| D- | 20 | 0.8% |
| F | 167 | 7.0% |
| NP | 16 | 0.7% |
| S | 12 | 0.5% |
| W | 32 | 1.3% |
Based on 2,386 student grade records across 21 terms and 5 professors.
Instructors
- Westin Montano 469 students, Average GPA 2.71
- Shirin Haji Amin Shirazi 334 students, Average GPA 3.24
- Neftali Watkinson Medina 135 students, Average GPA 3.40
- Harini Venkatesan 96 students, Average GPA 2.92
- Kristen Miller 43 students, Average GPA 2.76