TECH 149: Smart Manufacturing
San Jose State University
Smart manufacturing including sensors used to facilitate Industrial IoT in machine monitoring, data analytics, digital twin modeling and visualization in production and workflow, smart automation, robotic delivery systems, use of machine learning, additive manufacturing, augmented reality, quality control in manufacturing, and industry tours. Lecture 2 hours/lab 3 hours. Prerequisite(s): TECH 147.
Average GPA: 3.38
Grade distribution records: 203 students across 8 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 8 | 3.9% |
| A | 52 | 25.6% |
| A- | 31 | 15.3% |
| B+ | 38 | 18.7% |
| B | 44 | 21.7% |
| B- | 19 | 9.4% |
| C+ | 5 | 2.5% |
| C | 4 | 2.0% |
| C- | 1 | 0.5% |
| D- | 1 | 0.5% |
Based on 203 student grade records across 8 terms and 3 professors.
Instructors
- Vlad Alexandru Ionescu 128 students, Average GPA 3.39
- Rosa C Javadi 49 students, Average GPA 3.44
- Samuel Obi 26 students, Average GPA 3.17