Jingsheng Cong
Department of Computer Science
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5.0
Overall Rating
Based on 1 User
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 5.0 / 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.

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GRADE DISTRIBUTIONS
52.2%
43.5%
34.8%
26.1%
17.4%
8.7%
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.

42.1%
35.1%
28.1%
21.1%
14.0%
7.0%
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: Fall 2024
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
Dec. 23, 2024

Course Title: Chip Design Automation and Deep Learning.

The material is really tough, but incredibly rewarding if you put the effort in this class. You cover HLS implementation, Graph Neural Networks, Reinforcement Learning, and cutting-edge papers in the field. Professor Cong and Professor Sun are really nice and care deeply about student learning and subject interest. Grading is fair with opportunities for performance-based extra credit. Highly recommend for anyone interested in intersection of hardware design and machine learning.

Helpful?

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Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2024
Grade: A
Dec. 23, 2024

Course Title: Chip Design Automation and Deep Learning.

The material is really tough, but incredibly rewarding if you put the effort in this class. You cover HLS implementation, Graph Neural Networks, Reinforcement Learning, and cutting-edge papers in the field. Professor Cong and Professor Sun are really nice and care deeply about student learning and subject interest. Grading is fair with opportunities for performance-based extra credit. Highly recommend for anyone interested in intersection of hardware design and machine learning.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
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 5.0 / 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

There are no relevant tags for this professor yet.

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