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Prof: Tom Kelly / Spring 2026
May 11, 2026
Terrible content and limited professor incite on course material. Avoid if possible
Course was labeled as process management but very little was relevant to modern business practices. No application of forecasting software, very little practical knowledge, and when looking for assistance in quiz feedback or grades, that was nearly nonexistent.
Randy was a good presenter, very little prep for the case and did not know the material. Tom was awful, rambled to no point. Wrote exams that were poorly worded, then was not helpful in trying to understand the material.
Avoid if at all possible.
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Prof: Yan Xing / Spring 2026
May 10, 2026
No need to come to class. I managed to do better when I stopped going to class. Professor Xing uses a reverse model where the lecture videos are actually online, and the in-person section is a worksheet that is not graded. The way she runs the worksheets is that, at least the lectures I go to, the worksheet is posted online and she just tells people to partner up and discuss the worksheet. She does answer questions if you have them, but she also runs an online discussion board that is useful if you do have questions. I found myself learning more with the videos online on my own time and then using outside resources to supplement the course. It says it is an R heavy course, to which only the first and last 2 units are R-heavy. I personally did not benefit from learning in this “reverse” mod...read more
Content of the class provided a mix of statistical theory with minimal R interpretation (except for the last few units). Homework is where most of the application-based content is. Quizzes are weighed heavily (so do well on them). The final is pretty difficult and weighted less than the quizzes. Quizzes and the final are a Mix of memorization and application-based problems. Course content isn’t really too useful except for understanding the statistical tests used in scientific papers. If you’re hoping to get better at coding with R, this is not the course for that. Minimal “useful” coding is done, and R tutorials are not emphasized in most homeworks and quizzes.
Pros: Homework has bonus points assigned, and that is helpful towards the final grade. Professor Xing also is pretty good at answering discussion post questions in a timely manner. Cons: If you want an actual lecture, the in-person section is not for that. She is quite robotic and repetitive, and more in-depth explanations are not really given in class. Her videos are scripted; you can look in the PowerPoint speaker notes to find exactly what she is saying. Lectures in person are literally just a worksheet that is based on the slides, and she tells you all answers can be found in the slides. She will stand up front and just tell you to partner up with someone to figure it out, and that is the entirety of lecture. Hence, I stopped going. Worksheets were only helpful for one assignment; eve...read more
I wish I had listened when people said take it in the summer. This course has a very heavy workload simply because you need to do a lot of work on your own to understand material and do well. Take it in a lighter semester where you have to devote some time to this class. You will be teaching yourself most of it. Save yourself some trouble from an awful lecturer and just take the course online; there is no difference except she would be there in person to answer questions. Do not be worried about your ability to ask questions on the online section. She keeps a discussion board open, and she will answer your question to the same ability as she can in person. Professor Xing is not there to actually teach. She just gives material.
Class Ratings
Professor Rating
Prof: Yan Xing / Spring 2026
May 10, 2026
I managed to do better when I stopped going to class. Professor Xing does not lecture in person, instead choosing to structure lecture like a recitation over videos she posts online. I found myself learning more with the videos online (myself) and then using outside resources to supplement the course. It says it is an R heavy course, to which only the first and last 2 units are R-heavy. I personally did not benefit from learning in this “reverse” model where the lecture was online and then her “lecture” was an in-person recitation. Online and in-person sections have the same material, even the same Brightspace and TAs. I would highly recommend just saving some trouble and taking the course online.
Content of the class provided a mix of statistical theory with minimal R interpretation (except for the last few units). Homework is where most of the application-based content is. Quizzes are weighed heavily (so do well on the exam), and are a mix of specificity and application-based problems. Quizzes range from medium-hard level of difficulty. Course content isn’t really too useful except for understanding the statistical tests used in scientific papers. If you’re hoping to get better at coding with R, this is not the course for that. Minimal “useful” coding is done, and R tutorials are not emphasized in most homeworks and quizzes.
Pros: Homework has bonus points assigned, and that is helpful towards the final grade. Professor Xing also is pretty good at answering discussion post questions in a timely manner. Cons: She does not actually lecture in person, and is quite robotic. Her videos are scripted; you can look in the PowerPoint speaker notes to find exactly what she is saying. Lectures in person are literally just a worksheet that is based on the slides, and she tells you all answers can be found in the slides. She will stand up front and just tell you to partner up with someone to figure it out, and that is the entirety of lecture. Hence, I stopped going. Worksheets were only helpful for one assignment; everything else you’re pretty much on your own. She also writes on these worksheets with the sloppiest handwr...read more
This course has a very heavy workload simply because you need to do a lot of work on your own to understand material and do well. Take it in a lighter semester where you have to devote some time to this class. You will be teaching yourself most of it. Save yourself some trouble from an awful lecturer and just take the course online; there is no difference except she would be there in person to answer questions. If you’re worried about this, she keeps a discussion board open for all sections, so you’re not missing much by attending class.