Jason Ernst
Department of Computer Science
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5.0
Overall Rating
Based on 1 User
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
  • Needs Textbook
  • Issues PTEs
GRADE DISTRIBUTIONS
60.3%
50.2%
40.2%
30.1%
20.1%
10.0%
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.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Winter 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
March 12, 2024

This course is honestly very interesting, but the amount of homework and projects can be overwhelming if you don't work ahead. Prof. Ernst taught the second half of the class, and he was a bit quieter and less engaging then Eskin (though not for lack of trying). That said, I do think that by nature of this class, simply going through the material without asking the class every other slide to answer basic math could be helpful, plus it would make the 200 slide presentations go by a lot faster. Still, Ernst goes through the material very thoroughly, and if you're really into genomics research, I think this class will be quite useful. Even then, I think learning the concepts Ernst teaches (HMMs, intro to EM algorithms) is much more useful than those taught in the first half (which feels like a bunch of leetcode questions that I likely won't ever use).

Note, you have to buy the $80 textbook so just be aware of that.

Helpful?

1 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: A
March 12, 2024

This course is honestly very interesting, but the amount of homework and projects can be overwhelming if you don't work ahead. Prof. Ernst taught the second half of the class, and he was a bit quieter and less engaging then Eskin (though not for lack of trying). That said, I do think that by nature of this class, simply going through the material without asking the class every other slide to answer basic math could be helpful, plus it would make the 200 slide presentations go by a lot faster. Still, Ernst goes through the material very thoroughly, and if you're really into genomics research, I think this class will be quite useful. Even then, I think learning the concepts Ernst teaches (HMMs, intro to EM algorithms) is much more useful than those taught in the first half (which feels like a bunch of leetcode questions that I likely won't ever use).

Note, you have to buy the $80 textbook so just be aware of that.

Helpful?

1 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
    (1)
  • Needs Textbook
    (1)
  • Issues PTEs
    (1)
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