MATH 135A: INTRODUCTION TO NUMERICAL ANALYSIS 1
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): CS 010A with a grade of C- or better, may be taken concurrently; MATH 031 with a grade of C- or better, may be taken concurrently; or equivalent; or consent of instructor. Introduces basic numerical techniques for computing solutions of problems in science and engineering as well as computational implementation of such techniques using MATLAB and Python. Topics include floating point computation, error analysis, numerical methods for solutions of linear and nonlinear scalar and systems of equations, and numerical interpolation.
Average GPA: 2.71
Grade distribution records: 967 students across 10 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 65 | 6.7% |
| A | 121 | 12.5% |
| A- | 82 | 8.5% |
| B+ | 98 | 10.1% |
| B | 144 | 14.9% |
| B- | 80 | 8.3% |
| C+ | 99 | 10.2% |
| C | 108 | 11.2% |
| C- | 30 | 3.1% |
| D+ | 9 | 0.9% |
| D | 61 | 6.3% |
| D- | 7 | 0.7% |
| F | 52 | 5.4% |
| NP | 1 | 0.1% |
| S | 4 | 0.4% |
| W | 5 | 0.5% |
Based on 967 student grade records across 10 terms and 5 professors.
Instructors
- Jia Gou 319 students, Average GPA 2.52
- Fazel Hadadifard 155 students, Average GPA 2.46
- Weitao Chen 146 students, Average GPA 2.74
- Zilong Song 69 students, Average GPA 3.24
- Heyrim Cho 55 students, Average GPA 2.79