AE 105: Mathematical Methods for Aerospace Engineers
San Jose State University
This is a semester-long course designed for undergraduate and graduate students in Aerospace engineering, applied and computational mathematics, physical sciences, and related fields. The course delves into the fundamentals of a wide range of important topics in modern mathematics with emerging applications in Aerospace sciences and engineering. These topics are primarily derived from ordinary and partial differential equations, as well as applied linear algebra. The emphasis is on developing proficiency in both analytical and computational methods to solve physical systems in Aerospace engineering. To a lesser extent, the course will touch upon topics in statistics, probability theory, and uncertainty quantification. Prerequisite(s): MATH 32. Corequisite(s): MATH 33A.
Average GPA: 2.60
Grade distribution records: 172 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 4 | 2.3% |
| A | 33 | 19.2% |
| A- | 2 | 1.2% |
| B+ | 5 | 2.9% |
| B | 55 | 32.0% |
| B- | 2 | 1.2% |
| C+ | 6 | 3.5% |
| C | 42 | 24.4% |
| D | 7 | 4.1% |
| F | 16 | 9.3% |
Based on 172 student grade records across 3 terms and 3 professors.
Instructors
- Tianyang Zhou 80 students, Average GPA 2.38
- Mehrdad Khosravi 57 students, Average GPA 2.82
- Yawo Semanu Ezunkpe 35 students, Average GPA 2.75