Jonathan C Kao
Department of Electrical Engineering
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5.0
Overall Rating
Based on 2 Users
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.0 / 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

  • Would Take Again
GRADE DISTRIBUTIONS
59.6%
49.7%
39.7%
29.8%
19.9%
9.9%
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.

61.7%
51.4%
41.1%
30.8%
20.6%
10.3%
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.

68.0%
56.7%
45.3%
34.0%
22.7%
11.3%
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.

48.6%
40.5%
32.4%
24.3%
16.2%
8.1%
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 (1)

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Quarter: Spring 2023
Grade: A
June 17, 2023

A great course with a great lecturer and TAs. The lectures are well prepared and Prof. Kao is really good at teaching. He's happy to stop anytime and answer your questions. TAs are very helpful in the discussions and OH. The exams are fair, and do please attend the midterm and final review held by the TA! The topics are very similar to what will appear in the exam so you definitely should spend enough time reviewing these topics. If you are interested in the neuroscience and have a strong knowledge base of probability, linear algebra and Python, the course is a perfect choice. A little bit of matrix calculus is involved but truse me, they just look scary.

40% 6 homeworks, 25% midterm, 35% final.

Helpful?

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Quarter: Spring 2023
Grade: A
June 17, 2023

A great course with a great lecturer and TAs. The lectures are well prepared and Prof. Kao is really good at teaching. He's happy to stop anytime and answer your questions. TAs are very helpful in the discussions and OH. The exams are fair, and do please attend the midterm and final review held by the TA! The topics are very similar to what will appear in the exam so you definitely should spend enough time reviewing these topics. If you are interested in the neuroscience and have a strong knowledge base of probability, linear algebra and Python, the course is a perfect choice. A little bit of matrix calculus is involved but truse me, they just look scary.

40% 6 homeworks, 25% midterm, 35% final.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 2 Users
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.0 / 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

  • Would Take Again
    (1)
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