Hubeyb Usame Gurdogan
Department of Mathematics
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3.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 2.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

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GRADE DISTRIBUTIONS
33.3%
27.8%
22.2%
16.7%
11.1%
5.6%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Summer 2024
Grade: A-
Verified Reviewer This user is a verified UCLA student/alum.
Sept. 12, 2024

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.

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Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Summer 2024
Grade: A-
Sept. 12, 2024

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.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
3.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 2.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

There are no relevant tags for this professor yet.

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