Manufacturing Engineering
AI and Machine Learning Applications in Manufacturing
3 credits
Artificial intelligence, machine learning techniques, Deep learning, Python libraries for machine learning, Basic signal processing techniques, Data Acquisition, Applications in Manufacturing, Use of sound to evaluate operation of CNC machinery, Use of AE sensor to evaluate metal 3D printing. .
Average
81.4%
Students
323
Sections
5
Grade distribution. <50: 1, 50-54: 0, 55-59: 1, 60-63: 0, 64-67: 4, 68-71: 13, 72-75: 24, 76-79: 41, 80-84: 155, 85-89: 55, 90-100: 24.
Historical Averages
2021–2025
Lowest section avg
79.8%
Highest section avg
82.9%
Terms offered
5
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 201 | Lecture | Open | Mon 12:00-13:30, Wed 12:00-13:30 | Jacqueline Noder |
| T2A | Discussion | Open | Thu 16:00-18:00 | Jacqueline Noder |
No course reviews yet. If you took this course, yours would be the first anyone reads.