Eleazar Eskin
Department of Computer Science
AD
3.3
Overall Rating
Based on 11 Users
Easiness 2.5 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.2 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.9 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
  • Is Podcasted
  • Appropriately Priced Materials
  • Gives Extra Credit
GRADE DISTRIBUTIONS
57.4%
47.8%
38.2%
28.7%
19.1%
9.6%
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.

37.3%
31.1%
24.9%
18.7%
12.4%
6.2%
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.

38.9%
32.4%
25.9%
19.4%
13.0%
6.5%
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.

40.8%
34.0%
27.2%
20.4%
13.6%
6.8%
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.

48.2%
40.2%
32.1%
24.1%
16.1%
8.0%
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.

30.3%
25.3%
20.2%
15.2%
10.1%
5.1%
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 (4)

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Quarter: Fall 2021
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Dec. 20, 2021

Took this class for my Bioinformatics minor. This class is taught by two professors together: Prof. Eran Halperin and Prof Eskin. Honestly, this class is a mess.
1. Lecture. In the first few weeks, the two professors were teaching together during the lectures. As a result, the lectures became very unorganized and confusing, because they often got confused about which was the next slide or what concept to go through next. They also attempted to interact with students by asking questions. Obviously this didn't work out, because it would take at least 5 mins for someone to break the awkward silence and answer the question, then they'd spend another 10 mins going back and forth with the question if the answer was not what they wanted. I went to the lectures for the first 3 weeks, then decided they were purely a waste of time and stopped watching them.
2. Homework. There were no exams, so your grade solely depends on your hw. There were 7 hw in total, each of them contained 2-3 questions. 3 of the 7 hw contain coding questions, and you'll need to know Python or R to do them. The homework are not hard, each should take around 1-2 days. Be careful with the multiple-choice questions though, they don't give partial credits on these questions, and you could easily lose 30-50% of points if you got them wrong. I'll recommend checking your answers with a study buddy before submitting.
3. Discussion. The TAs went through the concepts and algorithms required for hw during their discussions. After the third week I stopped going to the lectures and used discussions only to do my hw, and I got full scores on most of them. Shoutout to Jingyuan for being an amazing TA. She explained everything clearly, and gave a lot of helpful advice during her OH.
Overall I don't recommend this class. The workload was not high, but I felt I learned nothing. The lectures were too disorganized to learn anything useful.

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Quarter: Spring 2017
Grade: A
July 9, 2017

This class is more of an advanced stats class. The math that the professor went through in the lecture is super hard. Python and R are the preferred programming tools. However, I do see some students using C++ and still be able to get full credits on all the assignment. Basically, as long as you understand the math behind the " model" or the "algorithm", the programming assignment is a breeze. TAs and the professor are super helpful if you are willing to talk to them after the class. Though the office hour and the discussion may not be as "formal" as other upper div CS courses (mentioned in other reviews), TAs are always in the Zarlab (in the second floor of MS building) and almost always available. The basic idea is to really let us learn as may advance topics as possible. it's okay if you are not fully understanding the material. TAs don't quite get the ideas sometime. THE GRADING IS SUPER GOOD. Strongly recommended if you are interested in bioinformatic.

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Quarter: Spring 2017
Grade: A
June 30, 2017

THIS IS NOT A COMPUTER SCIENCE CLASS. It's nearly all statistics. This class is terrible and should be avoided. Eskin is an awful professor; he does tell you exactly what you need to know for tests, but he clearly doesn't care about his job and doesn't care if students learn anything or enjoy the class at all. Multiple times he would say in lecture "why am I even here teaching? You guys are gonna forget this all in a few weeks anyway."
Also, we were expected to know Python or R coming into this class. The TA (Michael, the worst TA I've ever had by far) told us in the week 1 discussion that if we didn't know those languages, start teaching ourselves. The homeworks (we had four programming assignments) are easy if you know Python/R, and extremely difficult if you aren't familiar with those languages. Besides those homework assignments, WE NEVER TOUCHED PROGRAMS IN THIS CLASS (and no, they don't talk about Python/R in lecture at all). 95% of the class is statistics and math, which was not what I was expecting (or prepared for).
The syllabus is straight up ignored. The TA consistently showed up 15 minutes late to discussion, and sometimes didn't show at all and forgot to send us a cancellation email. I didn't even know where the office hours were until maybe week 4, just because they never talked about it and didn't put the location on the syllabus.
tl;dr: This class is a pretty easy A but you will not learn anything (unless you're super interested in extremely difficult statistics and can keep up with the professor). There is very little CS involved, and Eskin and the TA don't care about the students at all.

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Quarter: N/A
Grade: N/A
March 26, 2013

CS CM124 Winter 2013

Prof is a nice guy... really relaxed and if you need help just go to him or the TA.

The class isn't too demanding, but if you want to work more on the final project you can always make it more challenging for yourself.

HW/MT/Final are just there to show you kinda whats going on.. the TA helps you through all of them during discussions. And by helps you through them i mean walks you through the problems, and solutions. Lectures/Discussions are all filmed and posted, which is nice.

Final Project: For this quarter, he gave us a list of projects to pick from, and corresponding difficulty levels. If you dont have much time or dont really feel like you know whats going on, just pick an easy one... and if you get the hang of it you can add more to the project to challenge yourself. The project is the majority of the grade, i believe. For future classes he said he might mix it up, but probably similar stuff (pick your own language to code in, etc).

There is a presentation for the project at the end of the quarter. 10 min of explain what you did. Not coding details.. just the big picture and your results like accuracy and run time. Kinda strange.. but you vote on your classmates via text. Not sure if this actually affects the grade, but you get participation for doing it.

Interesting peak into a different side of CS.. i'd recommend the class. Not hard, good prof, not too stressful... and you learn along the way.

Helpful?

0 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Fall 2021
Grade: A
Dec. 20, 2021

Took this class for my Bioinformatics minor. This class is taught by two professors together: Prof. Eran Halperin and Prof Eskin. Honestly, this class is a mess.
1. Lecture. In the first few weeks, the two professors were teaching together during the lectures. As a result, the lectures became very unorganized and confusing, because they often got confused about which was the next slide or what concept to go through next. They also attempted to interact with students by asking questions. Obviously this didn't work out, because it would take at least 5 mins for someone to break the awkward silence and answer the question, then they'd spend another 10 mins going back and forth with the question if the answer was not what they wanted. I went to the lectures for the first 3 weeks, then decided they were purely a waste of time and stopped watching them.
2. Homework. There were no exams, so your grade solely depends on your hw. There were 7 hw in total, each of them contained 2-3 questions. 3 of the 7 hw contain coding questions, and you'll need to know Python or R to do them. The homework are not hard, each should take around 1-2 days. Be careful with the multiple-choice questions though, they don't give partial credits on these questions, and you could easily lose 30-50% of points if you got them wrong. I'll recommend checking your answers with a study buddy before submitting.
3. Discussion. The TAs went through the concepts and algorithms required for hw during their discussions. After the third week I stopped going to the lectures and used discussions only to do my hw, and I got full scores on most of them. Shoutout to Jingyuan for being an amazing TA. She explained everything clearly, and gave a lot of helpful advice during her OH.
Overall I don't recommend this class. The workload was not high, but I felt I learned nothing. The lectures were too disorganized to learn anything useful.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Spring 2017
Grade: A
July 9, 2017

This class is more of an advanced stats class. The math that the professor went through in the lecture is super hard. Python and R are the preferred programming tools. However, I do see some students using C++ and still be able to get full credits on all the assignment. Basically, as long as you understand the math behind the " model" or the "algorithm", the programming assignment is a breeze. TAs and the professor are super helpful if you are willing to talk to them after the class. Though the office hour and the discussion may not be as "formal" as other upper div CS courses (mentioned in other reviews), TAs are always in the Zarlab (in the second floor of MS building) and almost always available. The basic idea is to really let us learn as may advance topics as possible. it's okay if you are not fully understanding the material. TAs don't quite get the ideas sometime. THE GRADING IS SUPER GOOD. Strongly recommended if you are interested in bioinformatic.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Spring 2017
Grade: A
June 30, 2017

THIS IS NOT A COMPUTER SCIENCE CLASS. It's nearly all statistics. This class is terrible and should be avoided. Eskin is an awful professor; he does tell you exactly what you need to know for tests, but he clearly doesn't care about his job and doesn't care if students learn anything or enjoy the class at all. Multiple times he would say in lecture "why am I even here teaching? You guys are gonna forget this all in a few weeks anyway."
Also, we were expected to know Python or R coming into this class. The TA (Michael, the worst TA I've ever had by far) told us in the week 1 discussion that if we didn't know those languages, start teaching ourselves. The homeworks (we had four programming assignments) are easy if you know Python/R, and extremely difficult if you aren't familiar with those languages. Besides those homework assignments, WE NEVER TOUCHED PROGRAMS IN THIS CLASS (and no, they don't talk about Python/R in lecture at all). 95% of the class is statistics and math, which was not what I was expecting (or prepared for).
The syllabus is straight up ignored. The TA consistently showed up 15 minutes late to discussion, and sometimes didn't show at all and forgot to send us a cancellation email. I didn't even know where the office hours were until maybe week 4, just because they never talked about it and didn't put the location on the syllabus.
tl;dr: This class is a pretty easy A but you will not learn anything (unless you're super interested in extremely difficult statistics and can keep up with the professor). There is very little CS involved, and Eskin and the TA don't care about the students at all.

Helpful?

0 0 Please log in to provide feedback.
Quarter: N/A
Grade: N/A
March 26, 2013

CS CM124 Winter 2013

Prof is a nice guy... really relaxed and if you need help just go to him or the TA.

The class isn't too demanding, but if you want to work more on the final project you can always make it more challenging for yourself.

HW/MT/Final are just there to show you kinda whats going on.. the TA helps you through all of them during discussions. And by helps you through them i mean walks you through the problems, and solutions. Lectures/Discussions are all filmed and posted, which is nice.

Final Project: For this quarter, he gave us a list of projects to pick from, and corresponding difficulty levels. If you dont have much time or dont really feel like you know whats going on, just pick an easy one... and if you get the hang of it you can add more to the project to challenge yourself. The project is the majority of the grade, i believe. For future classes he said he might mix it up, but probably similar stuff (pick your own language to code in, etc).

There is a presentation for the project at the end of the quarter. 10 min of explain what you did. Not coding details.. just the big picture and your results like accuracy and run time. Kinda strange.. but you vote on your classmates via text. Not sure if this actually affects the grade, but you get participation for doing it.

Interesting peak into a different side of CS.. i'd recommend the class. Not hard, good prof, not too stressful... and you learn along the way.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
3.3
Overall Rating
Based on 11 Users
Easiness 2.5 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.2 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.9 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
    (4)
  • Is Podcasted
    (3)
  • Appropriately Priced Materials
    (3)
  • Gives Extra Credit
    (2)
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