Review Comment

[IEOR E3106] Intro to OR: Stochastic Models

December 22, 2014

Whitt, Ward
[IEOR E3106] Intro to OR: Stochastic Models

Please keep in mind that this review is more than 5 years old.

Stochastic models is probably one of the most interesting topics you could learn but Ward manages to be such an incompetent teacher that this is essentially a self-study course. The class covers, Discrete and Continuous Time Markov Chains, Poisson and Exponential processes (not distributions - there's a big difference) in detail, Renewal Theory and Brownian motion. All very interesting topics that can be used to model a variety of scenarios and in general improve your understanding of probability.

The problem is not the material, but Ward. He doesn't follow a well-defined thought process, jumping around between topics, hastily scribbling something on the board and erasing it before we can comprehend what he's trying to do. Attending lecture was a total waste of time. He often admitted that he knew that we had no idea was going on but we should all read the notes posted online (beware - the notes for Renewal theory stink so learn it some other way).

The TAs go over HW solutions in recitation before they are due. They're a bit harder than what you see in the exam most of the time.

First midterm was ridiculously easy with a 91 median. Second midterm was ridiculously hard with a 56 median. Final was on the harder side since there's so much to study, but the median was in the high 70s I believe. I feel like his exams have gotten harder over time given previous years tests. He has a weird grading scheme detailed in other posts that you can find on his website.

All your learning is from the notes posted online, the textbook, the HWs and past sample exams. The material can be quite difficult sometimes, especially during the middle of the semester when you do CTMCs and renewal theory.

Often, the TAs couldn't answer all our questions too, though I must admit that Mauro tried his best and spent a lot of time attempting to figure out stuff with students.

Overall, I'm glad I learned this stuff, but regret taking the class with Ward. He claims to be a generous grader, but he's really not.

Workload:

11 HWs
2 midterms
1 final

December 22, 2011

Whitt, Ward
[IEOR E3106] Intro to OR: Stochastic Models

Please keep in mind that this review is more than 5 years old.

I don't care what anyone says, I love Ward Whitt.

The material is somewhat challenging and averages tend to be low around the 60-70s, but if you put effort into learning on your own, you will enjoy it. If you don't you probably shouldn't be in IEOR. He posts all the lectures and previous exams online. It will definitely pay off working through several to prepare for exams. Know the definitions of distributions and different stochastic processes and everything will fall into place.

"Well I watch more TV now than I did in college... (thinks for a second)... but that's probably because we didn't have TVs back when I was in college." -Ward Whitt

Workload:

Weekly Problem Sets solutions given at recitation
2 Midterms
1 Final

January 09, 2011

Whitt, Ward
[IEOR E3106] Intro to OR: Stochastic Models

Please keep in mind that this review is more than 5 years old.

This is the worst professor I have had at Columbia. Many other students I talked to shared a similar experience. Those I talked to considered themselves better off by NOT going to class, to save themselves the confusion and grief.

His lectures are completely unorganized. He skips all the important steps and never explains anything. He rarely if ever covers any kind of general case. He's all over the place in terms of explaining anything. He has a bad habit of writing the crucial step or equation on the board, but then immediately erases it because "that's not important." It's incredibly frustrating.

For how impossible the material is, however, the class is run okay. He has his TAs go over the problem sets before they were due (though the TAs weren't much better at explaining things). Even then, the problem sets are graded on completion. He puts plenty of practice exams online, and goes over them in class and in TA sessions. The material you see on exams is usually easier than what you see on homework. The tests are open book (closed notes). Unfortunately the book is horrible.

The grading is pretty lenient. He splits grading into parts: 1 part for all homework assignments, 1 part for each midterm, and 2 parts for the final. Each part is scaled against the class average: for example, if you have an 80 on an exam, and the average is a 60, then you'll have a 1.333 for that part. You drop your lowest part. However, getting an A isn't easy. An A in my section required 4.87/4.00.

Workload:

11 weekly problem sets, gone over by TAs, graded by completion
2 midterms
Cumulative final

December 20, 2008

Whitt, Ward
[IEOR E3106] Intro to OR: Stochastic Models

Please keep in mind that this review is more than 5 years old.

Ward Whitt is without a doubt, a brilliant guy. However, people stop going to class after realizing that the best way to study and learn the material is not through the lectures, but through repetition of old exams and a solid cheat sheet.

He is a very generous grader--half of the class received A ranged grades.

Workload:

1 problem set per week, but everyone has the solutions, and the TA's give out the answers during recitation.
2 Midterms, each very similar to past year midterms
1 Final, very similar to past year finals

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