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.Rate My Professors ↗
Current instructor
Tina Xu
What students say
Original student reviews · all captured dates
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.Rate My Professors ↗
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.Rate My Professors ↗
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.Rate My Professors ↗
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.Rate My Professors ↗
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.Rate My Professors ↗
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 2026Fundamentals 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.
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2027 | ISYE 312 | Data Management and Analysis for Industrial Engineers |
| Spring 2027 | ISYE 412 | Fundamentals of Industrial Data Analytics |
| Fall 2026 | ISYE 312 | Data Management and Analysis for Industrial Engineers |
| Fall 2026 | ISYE 412 | Fundamentals of Industrial Data Analytics |
| Fall 2026 | ISYE/ME 512 | Inspection, Quality Control and Reliability |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
{
"instructor_uid": "instructor_a1901643e6418267a7946b79",
"source": "enrollment",
"source_instructor_id": "jxu25",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "Tina Xu",
"email": "JXU25@WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
"last_observed_at": "2026-10-29 21:30:40.248904+00:00",
"ratings": {
"review_count": 13,
"quality": 2.38,
"difficulty": 2.46,
"quality_count": 13,
"difficulty_count": 13,
"profile_id": "rmp:2592851",
"source_url": "https://www.ratemyprofessors.com/professor/2592851",
"match_basis": "exact_name",
"observed_at": "2026-10-29 23:16:51.750487+00:00",
"courses": {
"course_5b7e840b49cedb60a91edc99": {
"review_count": 4,
"quality": 2.5,
"difficulty": 2.5,
"quality_count": 4,
"difficulty_count": 4
},
"course_465855ee8f77f31be2f79f78": {
"review_count": 3,
"quality": 2,
"difficulty": 2.33,
"quality_count": 3,
"difficulty_count": 3
},
"course_4e8831b837f359daa4b2cadc": {
"review_count": 6,
"quality": 2.5,
"difficulty": 2.5,
"quality_count": 6,
"difficulty_count": 6
}
},
"bayesian_quality": 3.154704177427324,
"prior_mean": 3.658261892755085,
"prior_weight": 20
},
"current": true,
"courses": [
{
"course_uid": "course_4e8831b837f359daa4b2cadc",
"course_id": "ISYE 412",
"title": "FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS",
"credits_min": 3,
"credits_max": 3,
"gpa": 3.798
},
{
"course_uid": "course_5b7e840b49cedb60a91edc99",
"course_id": "ISYE 312",
"title": "DATA MANAGEMENT AND ANALYSIS FOR INDUSTRIAL ENGINEERS",
"credits_min": 3,
"credits_max": 3,
"gpa": 3.686
}
],
"revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
"instructor_url": "/instructors/TINA_XU"
}