Current instructor

Tina Xu

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.38/5 from 13 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

ISYE 312
Quality 1/5Difficulty 3/5
Have taken her classes twice. Definitely not by my choice. So so boring. So hard to sit through lectures. Tests were not that hard but very low preparation and guidance was offered beforehand.
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ISYE 313
Quality 3/5Difficulty 2/5
Prof Xu does not have particularly interesting lectures, and she does not deliver them with much passion. However, they are very organized, and contain all the info you need to complete the HWs and do well on the exams. The HWs are straightforward, the project was mostly graded on completion, and exams were open note.
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ISYE 312
Quality 3/5Difficulty 3/5
Nice professor but boring lectures (just reads off slides mostly). Turned in first homework late because I mixed up the time and she was nice and excused it. Graded project and homework easily, but exams were decently hard. Lots of extra credit if you just go to class.
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ISYE 313
Quality 1/5Difficulty 3/5
Avoid if possible. She reads directly off the slides, cannot answer questions or clarify well, and often tests you on foreign things you have never seen or practiced, including questions with terminology you've never covered. Some exams were super easy, and others were impossible. Honestly hard to prepare for. Would never recommend to anyone.
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ISYE 412
Quality 4/5Difficulty 2/5
I really enjoyed ISYE 412 with Tina. Her grading is clear, and the exams are exactly what she outlines they will be. While lectures can be dull and include unnecessary information, Tina is both intelligent and likeable. This course is a very easy A if you actually study for the exams and spend a little bit of time on the HW.
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ISYE 312
Quality 4/5Difficulty 2/5
Her lectures are boring and tough to sit through, but the class wasn't that hard. Homework was similar to the problems in class, she offered up to 3% extra credit for going to lecture, and the group project was relatively easy. There was a lack of guidance on preparing for the exams and the group project as the expectations weren't always clear.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Tina Xu

Covers fundamentals of data management and analysis for industrial engineers, including database strategies, preprocessing, visualization, and modeling using MySQL and R.

Offering recorded · Spring 2027 · Sources

Past student reviews · Tina Xu

Students found Tina Xu’s lectures boring and repetitive, often describing them as monotone slide readings. While several reviewers noted that homework was similar to in-class problems and that attendance earned extra credit, opinions on exam difficulty varied; some found them manageable, while others described them as decently hard with low preparation guidance.

historical GPA · grades

Fall 2022–Spring 2026

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

Past student reviews · Tina Xu

Tina Xu offered a 3% extra credit and weekly homework in ISYE 412, with students describing the course as an easy A if you attended lectures and studied. She provided example problems in every lecture and gave clear grading, though some found the lectures dull.

historical GPA · grades

Fall 2022–Spring 2026

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027ISYE 312Data Management and Analysis for Industrial Engineers
Spring 2027ISYE 412Fundamentals of Industrial Data Analytics
Fall 2026ISYE 312Data Management and Analysis for Industrial Engineers
Fall 2026ISYE 412Fundamentals of Industrial Data Analytics
Fall 2026ISYE/ME 512Inspection, Quality Control and Reliability

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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