Irene Hueter

I can speak for most of my classmates when I say that we were in disbelief about how much of a mess this class truly was. This was definitely the most unfortunate disaster of a class that I've witnessed at Columbia. It's really disappointing that so little care is put into a course that is required for so many majors. In terms of what you'll get from the class, most of the previous reviewers have done it justice. This class was ran with the mentality that people are taking a probability and statistics class solely to fulfill a degree requirement, and they will never need this material in future coursework or careers. This is not a mathematical treatment of the material, but a plug-and-chug cookbook approach. If there is any chance you will need any of the material taught in this class later, do not take this class under any circumstances. After this class, I feel that if I ever want to do anything that requires probability or statistics, I'll need to take another intro course that actually teaches me the material. The incompetence of Irene Hueter was probably the most mind boggling part of this entire miserable experience. She posted a welcome letter to us on Courseworks before the class started, "I will post my lecture notes after the class that should cover the essence of the class. Occasionally there will be additional examples and illustrations covered in class not contain…

I learned I could pay college tuition to have a professor read me a textbook going to this class is like buying an e-book on Amazon

Classic Casella Berger stats class - convergence theorems, sufficiency, MLE, Cramer Rao bound, hypothesis testing etc

Take it if you want an easy A and maybe learn a little bit of statistics. As someone who is not majoring in stats, this class wasn't difficult and was surprisingly useful in that it taught me a few formulas and the big picture for how statistical methods work. On the other hand, do not take this if you need a firm understanding of statistics later in your academic life. It will woefully underprepare you for that. that is, if you are a stats or econ major, take something else. I did not go to a single lecture and put about an hr a week into the HW. that was enough. For the exams, you are allowed a cheat sheet. Just take the practice problems and answer key and print it on your cheat sheet. As long as you know how those work, you should at least get the avg. Bottom line. This is a class where you are expected to take formulas verbatim from the textbook and blindly apply them to problems. That is all you will ever need to do.

While I learned abit about the mathematical proofing behind linear regression, I did not feel I learned too much outside of what was covered in the textbook. I think my peers felt similarly, only few would show up to lectures.

This might potentially have been the worst class, with the worst professor, that I have ever taken not just in college, but in my academic career. While Professor Hueter is nice, and appears to care for her students, she is not only incompetent, but entirely unprepared and unqualified to teach this class. I went to the first few lectures of this class, and was not only blown away by how boring and unengaging they were, but also by their lack of content or presentation of new material. She presents the material straight from the textbook, with no new or interesting information, only the occasional application that appears to have no relevance to the course whatsoever (it is also the worst textbook I have ever used). She uses some color coated system in her lectures that appears to have a pattern, but as I reviewed the slides over and over, I realized that there was no logical order to her lectures, and that they were merely COLORED. This example just about sums up her class. Trying to apply order, to something that is completely void or order, reason, or logic. She is a terrible lecturer, often appearing to not understand the questions herself, and she always seems wholly unprepared, as she solves many of the practice problems INCORRECTLY. At our review session for the midterm and final, she legitimately got half of the problems wrong...she didn't know how to do them herself, a…

Please consider restructuring this course to be more accommodating or at least warn students without a STEM background of the difficulty ahead of time. I feel it is unfair and harsh to leave students with little interaction with the material except for what is written in a textbook.

everything from introductory course, but on a mathematical/proof-based level

All that said, Prof. Hueter is very very generous and friendly. She would come to class and smile for every single lecture. Although I did not attend the classes most of the time (I do not mean Prof. Hueter is a bad lecturer.. I just prefer studying myself,) she would always upload any necessary materials for you to catch up! Lectures in pdf (also separated in Chapters version available.) Homeworks with extra problems for you to get stronger and more confident (not graded, but solutions later provided.) This Spring, the text edition 9th was released, and a lot of students purchased 8th edition. She did not even force them to buy the expensive 9th edition, but rather, a set of scanned pages from 9th edition would be uploaded for you to work on HW problems! All that said, this class is not too hard (if Prof. Hueter is an instructor), even though you are not an engineer. All you need are just catching up with whatever are covered in classes, doing your HWs, and making your own cheat sheets. That's it. No extra effort or preparation for fancy exam problems required. After all, I like Prof. Hueter not because of her teaching style, but because of her true spirit as a college teacher--letting students decide whichever way they feel comfortable with studying, accompanied by her consistent support.

Would NOT recommend this class by this instructor. Extremely poorly taught course, Lectures was read straight from the slides and certainly not engaging. Suggested readings was essentially the whole chapter (which is impossible!). Ideally, a student should get most out of listening to the lectures and slides, and then refer to the book (and NOT the whole book) as needed. Lecture materials was "copy, pasted" lines from reference book. Performing well in this course would require that you have taken a similar course before and/or upper level Math/Stats Major. 1 Columbia University: Arts & Sciences Spring 2022 Course: STATGU4205_001_2022_1-LINEARREGRESSIONMODELS : STATGU4205_001_2022_1 - LINEAR REGRESSION MODELS Instructor: Irene Hueter