Current instructor
Kaibo Liu What students say Original student reviews · all captured dates
All courses No unambiguous review-profile match is available.
Personal experiences, not a representative survey. Profile matching and
captured coverage are shown in the source details.
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.[1, 2, 3] Sources
3 . 7 7 3.77 historical GPA · 4 7 7 477 grades
Fall 2022–Spring 2026 Highly rated instructor
Advanced independent study in industrial engineering conducted under faculty supervision to support graduate-level research.
Offering recorded · Spring 2027 · Sources
3 . 9 6 3.96 historical GPA · 7 9 79 grades
Fall 2023–Spring 2026 · limited sample Master'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
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor → Browse recorded courses Teaching history may be incomplete. Course pages contain course-specific
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Instructor identity & provenance {
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