Lin Yang
Department of Electrical Engineering
AD
2.8
Overall Rating
Based on 4 Users
Easiness 2.8 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 1.5 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.2 / 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.

GRADE DISTRIBUTIONS
49.3%
41.1%
32.9%
24.6%
16.4%
8.2%
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.

AD

Reviews (2)

1 of 1
1 of 1
Add your review...
Quarter: Spring 2021
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Feb. 5, 2023

Lin Yang is by far the worst lecturer I've ever had.

The lectures don't make much sense but the textbook is ok, and the class is project based and you learn a lot from the projects.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Spring 2022
Grade: A
June 26, 2022

This class is an introduction to reinforcement learning. It starts with the basics of RL such as Markov Decision Processes and ends at... well I wouldn't know because most students (including myself) stopped watching Prof Yang's lectures. They were that bad. In general, this class is really disorganised, does not cover the material well and has no interest in teaching anything.

Regarding the organisation, these are some of the events that took place:
-Mid-Week 1: there wasn't any Bruinlearn page for the class, so students emailed Prof Yang until he made one.
-Week 4: the Prof finally hires a TA.
-Week 9: final project proposal is marked 5 days before the entire project is due.
-Week 10: the "midterm" exam, scheduled to happen on Week 5, takes place.
-3 Weeks after end of term: a grade is published to MyUCLA, with nothing else said.

More or less everything happened either late, never and with no feedback from the instructors.

The lectures are not much better. Most of the material is borrowed from a public UCL lecture series from 2015 and is replicated using inconsistent slides full of errors. Sometimes these errors are fixed, but then the fixed versions are not actually uploaded for students to use (even though we asked for this repeatedly).

Looking back, I should have seen the warning signs in the first week and dropped this class immediately. To get an A in this class, I pretty much studied every university's RL class save for the one I was actually paying for. This class is a disgrace.

Helpful?

0 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Spring 2021
Grade: A
Feb. 5, 2023

Lin Yang is by far the worst lecturer I've ever had.

The lectures don't make much sense but the textbook is ok, and the class is project based and you learn a lot from the projects.

Helpful?

1 0 Please log in to provide feedback.
Quarter: Spring 2022
Grade: A
June 26, 2022

This class is an introduction to reinforcement learning. It starts with the basics of RL such as Markov Decision Processes and ends at... well I wouldn't know because most students (including myself) stopped watching Prof Yang's lectures. They were that bad. In general, this class is really disorganised, does not cover the material well and has no interest in teaching anything.

Regarding the organisation, these are some of the events that took place:
-Mid-Week 1: there wasn't any Bruinlearn page for the class, so students emailed Prof Yang until he made one.
-Week 4: the Prof finally hires a TA.
-Week 9: final project proposal is marked 5 days before the entire project is due.
-Week 10: the "midterm" exam, scheduled to happen on Week 5, takes place.
-3 Weeks after end of term: a grade is published to MyUCLA, with nothing else said.

More or less everything happened either late, never and with no feedback from the instructors.

The lectures are not much better. Most of the material is borrowed from a public UCL lecture series from 2015 and is replicated using inconsistent slides full of errors. Sometimes these errors are fixed, but then the fixed versions are not actually uploaded for students to use (even though we asked for this repeatedly).

Looking back, I should have seen the warning signs in the first week and dropped this class immediately. To get an A in this class, I pretty much studied every university's RL class save for the one I was actually paying for. This class is a disgrace.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
2.8
Overall Rating
Based on 4 Users
Easiness 2.8 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 1.5 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 4.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 3.2 / 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.

ADS

Adblock Detected

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!