Todd Millstein
Department of Computer Science
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3.8
Overall Rating
Based on 5 Users
Easiness 5.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.6 / 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 4.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

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GRADE DISTRIBUTIONS
99.7%
83.1%
66.5%
49.8%
33.2%
16.6%
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.

ENROLLMENT DISTRIBUTIONS
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Reviews (4)

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Quarter: Fall 2023
Grade: P
Verified Reviewer This user is a verified UCLA student/alum.
Nov. 20, 2024

This is one of the least useful classes I have taken. Lecture was recorded, so attendance is not required, and I would recommend not going. There is one assignment, so even if you turn in something terrible, you will pass the class.

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Quarter: Fall 2023
Grade: P
Verified Reviewer This user is a verified UCLA student/alum.
Dec. 30, 2023

This class is entirely recorded and the only assignment is to turn in 4 summaries and your thoughts on 4 lectures (for a total of 8 paragraphs). You also can only take if P/NP as of 2023 so you don't need to even get a good grade on the assignment to pass the class. I would, however, still recommend going if you have time since they get professionals from a few companies (in my quarter I think they got people from google, riot games, and some cyber security company) who talk about their work and then they get professors to talk about their research. It's pretty interesting, although I do wish they had more topics that weren't just deep learning, and altogether not a bad class.

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Quarter: Fall 2023
Grade: P
Verified Reviewer This user is a verified UCLA student/alum.
Dec. 26, 2023

In Fall 2023, there were 9 seminars. In each seminar, a guest speaker would talk about their research/work experience. I thought it was pretty eye opening to see the different fields in computer science and what the experiences of successful computer scientists were like.

Homework wise, you had to summarize 4 seminars and give your opinion on them. As long as you write something that makes sense, you will get a pass.

Helpful?

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Quarter: Fall 2023
Grade: P
Verified Reviewer This user is a verified UCLA student/alum.
Dec. 7, 2023

Grades are based on a single assignment, which is just a summary of four out of the nine guest lectures. Lectures are recorded, which means you don't even need to show up to turn in the assignment, so long as you don't mind not being able to ask questions (and hurting the guest lecturer's feelings).
Quality of guest lectures varied wildly; some were fascinating insights into the lecturer's field of research and others were lame regurgitations of the company marketing materials that can be found on their website.
In the end, it's a required class for CS students, which is probably the only reason you're taking the class. Just suck it up and attend the lectures, at least some of them will be interesting.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2023
Grade: P
Nov. 20, 2024

This is one of the least useful classes I have taken. Lecture was recorded, so attendance is not required, and I would recommend not going. There is one assignment, so even if you turn in something terrible, you will pass the class.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2023
Grade: P
Dec. 30, 2023

This class is entirely recorded and the only assignment is to turn in 4 summaries and your thoughts on 4 lectures (for a total of 8 paragraphs). You also can only take if P/NP as of 2023 so you don't need to even get a good grade on the assignment to pass the class. I would, however, still recommend going if you have time since they get professionals from a few companies (in my quarter I think they got people from google, riot games, and some cyber security company) who talk about their work and then they get professors to talk about their research. It's pretty interesting, although I do wish they had more topics that weren't just deep learning, and altogether not a bad class.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2023
Grade: P
Dec. 26, 2023

In Fall 2023, there were 9 seminars. In each seminar, a guest speaker would talk about their research/work experience. I thought it was pretty eye opening to see the different fields in computer science and what the experiences of successful computer scientists were like.

Homework wise, you had to summarize 4 seminars and give your opinion on them. As long as you write something that makes sense, you will get a pass.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2023
Grade: P
Dec. 7, 2023

Grades are based on a single assignment, which is just a summary of four out of the nine guest lectures. Lectures are recorded, which means you don't even need to show up to turn in the assignment, so long as you don't mind not being able to ask questions (and hurting the guest lecturer's feelings).
Quality of guest lectures varied wildly; some were fascinating insights into the lecturer's field of research and others were lame regurgitations of the company marketing materials that can be found on their website.
In the end, it's a required class for CS students, which is probably the only reason you're taking the class. Just suck it up and attend the lectures, at least some of them will be interesting.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
3.8
Overall Rating
Based on 5 Users
Easiness 5.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 4.6 / 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 4.4 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

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There are no relevant tags for this professor yet.

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