Hubeyb is a peculiar guy, he’s not necessarily a great professor but that’s the same as like half of the profs in the math department. Homework is given but not graded, only meant to help for studying for the tests and quizzes.

The course is graded from 4 quizzes, with the lowest one dropped, the midterm, and final. The quizzes are 10% each, with the midterm and final having a 30/40 split, with the one you performed on better being the 40%.

The midterm was relatively what was expected, basically the exact material that you’d expect. The final was MUCH more difficult however.

The reviews that were written previously are entirely accurate. Brush up on your 170E material, he loves testing Gamma, exponential, and Poisson distributions. We were also for some reason had a question on chi-squared testing for the final. Ordinarily I would think it’s ok but in this case we learnt the entirety of it in the last lecture day, 2 days before the final.

Overall if you have Hubeyb you’ll be fine, but I wouldn’t sing the most praises.

He's a pretty alright professor. Not perfect by any means. His lectures are pretty boring sometimes but I just like the way the class is structured. I'm not sure if it was because it's summer or the course itself, but it wasn't that difficult relative to 170E. His exams reflect the homework pretty well and you can easily do the homework by just reading the slides without any outside help.

Math 170S with Gurdogan is a strange class. First of, be an expert in 170E. He loves use Binomial, Exponential, Gamma, Beta, and Chi Squared distributions. A lot of profs skip some of the later stuff, but he will assume you are experts on them for the test. He also gives absolutely no practice, especially for Bayesian Statistics (one of the hardest topics), so maybe ask GPT to make some hard questions involving that. The second half of the class is almost entirely plug and chug, and the MT was significantly harder than the final because of that. He also goes into many tangents on proofs which he never tests on and lecture isn't very useful compared to slides.

I took the summer session so the content was accelerated but overall was still very manageable. No textbook is really needed because the slides copy-paste the most essential information and the z, t, and chi square tables are all provided on exams.

I will say that this professor struggles to explain concepts clearly, and focuses a bit more on proving theorems (not tested) than actual application. I think the best strategy to get a good grade is to review the lecture slides then use the homeworks to test your understanding. The exams are the same difficulty level as the homeworks and there are few curveball questions. I'm pretty sure he curves depending on the grade distribution.

Concepts from 170E are pretty much the foundation of this course so brush up on that before starting, as he will expect you to know poisson, gamma, beta, and chi square distributions, their expected values and their pdfs are fair game.