Deanna Hunter

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CLASSES

MATH 170A
Probability Theory See Full Profile

Overall 5.0 Easiness 4.0 Workload 1.5 Clarity 5.0 Helpfulness 4.5

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*Also for 170E*

If I can sum up this class and this professor in three words it'll be: easy but tedious

As the other reviewer stated, be prepared for hours and hours and hours of homework. In fact, I noticed that the professor simply assigns EVERY SINGLE ODD IN THE BOOK for the homework.
Since every single odd is assigned, the hw sets will almost always include some of the stupidly hard proof problems that you have no choice but to look up the solution for.
I didn't find lectures to be that helpful for the hw as Professor Needell gives fairly simple examples that do not help at all for the more difficult problems in the book.
In addition, every now and then a coding problem is assigned IN ADDITION TO EVERY SINGLE ODD IN THE BOOK, but I didn't find them to be that hard, and they were actually pretty fun to do. The tedious part of the coding is that if you don't know Matlab, you have to figure out how to do the equivalent in the language of your choice.

The reason there is so much hw assigned is due to the fact that there are no exams in this class. Instead of exams, you have two projects to do that replace both the midterm and final respectively.
This sounds great until you get the project and realize its just a take home exam. The take home exam was long and tedious, with some coding problems. Sometimes I wished that we just had exams instead, as I would much rather take a 24 hour exam (COVID) than an exam that I have to do over a course of a couple weeks.
That being said, the projects weren't hard, just tedious.

Overall, my review may sound like a lot of complaining, but I'm just saying it how it is. It's easy for me to look back and say "oh the class wasn't that bad" but in reality, I and probably every other person in my class had to spend way more time on this class than is necessary for 170E.
So yeah, easy class, most people probably got A's, but it comes at a huge time committment. So you decide if it's worth it or not.

TLDR: EASY BUT TEDIOUS

(Spring Quarter 2021)
MATH 170E
Introduction to Probability and Statistics 1: Probability See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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MATH 199
Directed Research or Senior Project in Mathematics See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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MATH 270B
Mathematical Aspects of Scientific Computing: Computational Linear Algebra See Full Profile

Overall 5.0 Easiness 5.0 Workload 4.0 Clarity 5.0 Helpfulness 5.0

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Great professor, easy class as a PhD course. Deanna is extremely patient, helpful, and funny. Her lectures are clear, but the content is a bit easy, so that she sometimes ended class 20-30mins early. Quizzes are not hard, but you have to spend some time preparing for it. No curve course, strict grading scheme.

(Winter Quarter 2020)
MATH 270C
Mathematical Aspects of Scientific Computing: Computational Linear Algebra See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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MATH 290J
Participating Seminar: Current Literature in Applied Mathematics See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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MATH 375
Teaching Apprentice Practicum Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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MATH 375
Teaching Apprentice Practicum See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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