Computational Genetics

Eran Halperin

Computational Genetics

Computer Science department

Eran Halperin

Add Review
from 6 users

Ratings

Bad
Overall 1.2
Good
Hard
Easiness of class 1.3
Easy
Heavy
Workload 2.2
Light
Not Clear
Clarity of professor 1.0
Clear
Not Helpful
Helpfulness of professor 1.3
Helpful
AD

Tags

  • Uses Slides
  • Tolerates Tardiness
  • Has Group Projects

Grades

Winter 2020
65.2%
54.3%
43.5%
32.6%
21.7%
10.9%
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.

Winter 2019
28.2%
23.5%
18.8%
14.1%
9.4%
4.7%
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.

Spring 2017
36.8%
30.7%
24.6%
18.4%
12.3%
6.1%
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.

AD
AD
1 of 1

Reviews

Quarter Taken: Spring 2018 Submitted June 22, 2018 Grade Received: N/A

I am a CS major, and I took this class as one of my CS upper div electives because the grade distribution seemed pretty good. Big mistake.

Firstly, this class is not a computer science. It's mostly just a theoretical math class. The class focuses on rather dense mathematical algorithms to analyze genome sequences. The main problem though is that the class has no textbook. So the only material you have is the lecture slides, and the slides are almost exclusively mathematical formulas. So if you are having trouble understanding a concept, good luck, because there is no class material to read that will help you understand anything.

The homework is also unreasonably hard. I think that the homework would have been doable if I had a solid understanding of both the conceptual and practical understanding of the material. The only problem was that I had neither of those things despite attending lecture and pouring over the lecture slides.

The tests on the other hand are much much easier. The professor gave us a sample exam for both the midterm and final. And if you could do well on the sample exam you were guaranteed pretty solid grades on both tests.

Overall, the class is way too theoretical and very poorly taught. Despite what the grading distribution may imply about this class, I highly recommend that you avoid it.

Quarter Taken: Spring 2018 Submitted June 21, 2018 Grade Received: N/A

I took this class for my Bioinformatics minor, so I may not have had as strong a math/computational background as other students, but I think even the CS majors were struggling most of the time. Even though the material is extremely dense, the graded parts aren't bad. The HW is hard, but going to discussion every week is helpful. They also go over the practice midterm and final, which are very similar to the real exams. Even though linear algebra wasn't an enforced pre-req, you're definitely at a disadvantage if you haven't taken Math 33A or something similar. Lots of stuff about matrices that you'll have to teach yourself. Overall I think this class had interesting topics that mostly went over my head.

1 of 1

Tags

  • Uses Slides
  • Tolerates Tardiness
  • Has Group Projects
ADS

Report Review

Did this review contain...

There are errors in the report form.

Thank you for the report!

We'll look into this shortly.

It seems like you’re

using an ad blocker. :(


Bruinwalk is an entirely Daily Bruin-run service brought to you for free. We hate annoying ads just as much as you do, but they help keep our lights on. We promise to keep our ads as relevant for you as possible, so please consider disabling your ad-blocking software while using this site.

Thank you for supporting us!