5 courses
Fundamentals of Industrial Data Analytics covers using data analytics for data-driven decisions, emphasizing application to industrial engineering problems via modeling strategies.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2024: 3.91 GPA, 95.7% A/AB (n=23 letter grades); Spring 2025: 3.60 GPA, 75.0% A/AB (n=52 letter grades); Spring 2026: 3.38 GPA, 60.0% A/AB (n=40 letter grades). Includes jointly taught sections.
Advanced independent study in industrial engineering conducted under faculty supervision to support graduate-level research.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2023–Spring 2026 · limited sampleMaster's Research and Thesis involves directed Master's-level research projects arranged with the instructor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Pre-Dissertator's Research involves directed PhD-level research projects arranged with a faculty advisor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Directed PhD-level research projects in industrial engineering, arranged with a faculty advisor for thesis work.
Offering recorded · Spring 2027 · Sources
No recorded grade history