All Ratings and Reviews for Paul R Eggert


Overall 2.9
Easiness of class 1.6
Workload 1.6
Not Clear
Clarity of professor 2.9
Not Helpful
Helpfulness of professor 3.0
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COM SCI 35L, taken Fall 2019 Submitted Dec. 22, 2019 Grade Received: N/A

I take 35L with Dalmia Shivam, he is a nice guy. HOWEVER, I have to say, Aditya Joglekar and Aaron Zhou basically fucked up this quarter. As everyone know, each TA is in charge of an assignment per week. Aditya takes Assignment 4 which is due on week 5 's Monday. And he takes the entire quarter to grade it, which the grades comes out even after assign9 just 5 days before grades finalized in 12/23. Aaron Zhou was in charge of assignment 9 which is a brand new one. Everyone was busying on finals, and he decided to give only 20% on lab(easier part), and impossible-task homework(hard part) 80%. Don't believe it's Eggert decision. NO! It's TA 's choice that they don't want you to pass at least they want you to suffer. They don't fking care students, if they are still TA for the next quarter, watch out the assignments they take charge of cuz they are b_tches.

COM SCI 131, taken Spring 2018 Submitted March 24, 2019 Grade Received: C

Eggert's class never fail to piss me off. The amount of work required for this class is ridiculous, and the pacing is just way too fast. On top of that, we all know Eggert writes these impossible exams where the average is 40%. I put so much time into this class and still struggled. No one really knows what's going on and everyone copies code off Github.

COM SCI 131, taken Winter 2019 Submitted March 21, 2019 Grade Received: N/A

He doesnt care if you understand the material, he makes no sense, his projects make no sense, he doesnt feel the need to make his projects easier because no one confronts him for reasons i dont understand. I wish i learned but i cant learn from him. Hes all over the place.

COM SCI 35L, taken Spring 2019 Submitted June 26, 2019 Grade Received: B-

I had a great TA (Zhaowei the GOAT), but still got absolutely assfucked by this class. Here are some tips for you so that you don't have the same shit ass experience I did:
Step 1: Don't take the class
Step 2: If you have to take it, get really familiar with the material from the first four assignments before week 1 so you have a crazy good advantage.
Tough it out for the first 4 weeks and you'll be good in terms of managing workload. The final was a straight clap, no amount of studying could have prepared me for that bullshit. Sure, I learnt a lot, but this class is broken.

COM SCI 35L, taken Spring 2019 Submitted Aug. 29, 2019 Grade Received: A

If I had known about Eggert before coming to UCLA, I wouldn't have come to UCLA.

COM SCI 111, taken Winter 2016 Submitted March 29, 2016 Grade Received: A

... and then we're toast!

COM SCI 130, taken Spring 2017 Submitted June 28, 2017 Grade Received: N/A

Shout out to Ian Sommervill. Congratulations for writing the most boring textbook I've read in my life.

COM SCI 131, taken Winter 2020 Submitted March 27, 2020 Grade Received: A

I'm sure the other comments have already painted quite the picture of this class. I'll spare you the repetition about how this class is a mess, has the most insanely unpractical workload I've ever seen, and absurd tests.

Instead I'll just outline some tips that may help you get an A like I did:
-Take notes in lecture, and really make sure you understand everything he goes over conceptually. Lecture can feel so bizarre, because it is almost never relates to the assignments you will have to do that week. But the tests are at least, if not over half conceptual, and understanding the conceptual will give you the extra edge to do well on the tests.
-Don't waste too much time on homeworks. If you did each homework legitimately, by yourself, from start to finish, you may be able to finish just before you graduate. Maybe. Just reference github instead.
-Do the practice tests. They are super helpful and similar to the real tests.
-On the tests, don't panic. The medians are 50% for a reason, you aren't supposed to be able to nail every question. There will be a question that will blindside you. Just write what you can, and throw in as much Eggert vocab that you learned during lecture and from the textbook as possible. Its okay if some of it is a little wrong too, just write a lot of stuff down with good vocab that is somewhat logical and move on
-Lastly, study. Many students go in thinking their notes will save them. Or that because the tests are so hard they don't have a chance and will use the textbook as a crutch. Not the best idea. If you understand 90% of the things he talked about in lecture and can do from memory most of the basic/intermediate tasks required in the homework by hand without notes, then you are set.

Also just take a nap during the first hour of the first lecture.

COM SCI 131, taken Fall 2018 Submitted Nov. 6, 2019 Grade Received: C

I decided to transfer after this class, now Im enrolled in CalPoly, and now I regret my first decision to attend ucla for cs.
With these non-sense classes, you'll waste a great amount of time.

COM SCI 35L, taken Winter 2020 Submitted March 14, 2020 Grade Received: NR

Like other comments stated here, this course is a pain in the ass even though the content is useful. It's disorganized. The workload is so heavy that few materials can be covered during the lab. So, you have to study most of the content by yourself. The final has 26 pages and Prof. Eggert claims it's a 3-hour exam. Some TAs are very harsh on grading, and they take a lot of points off just because you are wrong in one question or you don't include something that is not even asked for in the assignment instructions. Many TAs don't even provide any feedback for your grade unless you ask for it. If you have to take this course, I would recommend you start to study the content, such as python and bash, before the quarter you are gonna take the course. One more thing, some people may be smart enough to be a very good graduate student, but they may not be competent to be a TA, and this is a TA based course. So, be cautious.

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