Qing Zhou
Department of Statistics
AD
3.6
Overall Rating
Based on 15 Users
Easiness 2.8 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.8 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.9 / 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.

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GRADE DISTRIBUTIONS
48.5%
40.4%
32.3%
24.2%
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.

34.1%
28.4%
22.7%
17.0%
11.4%
5.7%
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.

16.2%
13.5%
10.8%
8.1%
5.4%
2.7%
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.

25.4%
21.2%
16.9%
12.7%
8.5%
4.2%
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.

21.1%
17.6%
14.1%
10.6%
7.0%
3.5%
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.

28.6%
23.8%
19.0%
14.3%
9.5%
4.8%
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 (6)

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Quarter: Fall 2018
Grade: NR
Dec. 23, 2019

This professor actually is the worst LOL. This is my first bruinwalk review and I’ve never felt more motivated to write a bad review. I took this class because unfortunately Chen’s lecture was filled up. Zhou was unbearable. Homework was difficult and his notes were not understandable. His midterm and final were nothing like the material he taught in class. Apparently a girl in my lecture was crying during the final. Please please avoid this guy. If you look at Chen’s grade distribution, it’s like 60% A’s. That is NOT the case with Zhou who only gives the top 20% a variation of an A. If you want to apply to grad school, avoid this gpa killer. You’ll get your GPA lowered and it won’t even be worth it because you won’t learn anything. Seriously, avoid this professor. I’ve never learned less in an upper division stats class and this guy should have never been allowed to start teaching this class again.

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Quarter: Fall 2019
Grade: U
Dec. 23, 2019

I was excited for 102c. But this professor made this class unbearable. His exam is not reflective of class materials. Despite hours and hours of studying, it doesn’t matter because the final exam was outside of the scope. He said a certain date for an ADDITIONAL take home final and then cut back time and it was due the next day. Wish I could’ve taken it with Chen.

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Quarter: Fall 2021
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Verified Reviewer This user is a verified UCLA student/alum.
Dec. 18, 2021

I really enjoyed this class.
The material was very interesting and I found use of it immediately after finishing the course.
The workload is pretty light, a few assignments, midterm and exam were takehome.
Lecture notes were clear and instructive.

Most of all I appreciate that prof Zhou was really good at answering my questions, clear, concise and insightful.

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Quarter: Fall 2019
Grade: C-
March 30, 2020

This professor is the worst I had at UCLA. His exam is super hard. The mean and median for the whole class is super low, around 40 out of 100. However, he does not curve at all. The grade you get from midterm and final is the actual grade of your total grade. This means that all students from this class get below B-. I got C-, one my friend from this class got C- as well. Another student I know got C. Please! Do not take this class with Qing Zhou. He knows Monte Carlos. However, he does not know how to teach. Moreover, his exams are super super super hard.

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Quarter: Spring 2016
Grade: A-
April 2, 2017

102C is one of the harder classes that stats majors have to take but the topics are highly interesting, and different (in a good way) than the other classes. It's a more simulation-based rather than mathematical approach to statistics, and the best part is that if you don't know how to prove something theoretically, you can write code to figure out the approximate answers. That's pretty powerful and this class introduces some examples of that approach.

Zhou taught very well and his lectures were understandable. I remember the final exam had a take-home programming part that was quite hard. Homework and tests were doable but required you to really understand the material. Highly recommend taking this class with Zhou.

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Quarter: N/A
Grade: N/A
June 17, 2013

he posts his hand written notes online,
midterm 40%
final 50%
hw 10%

There are 5 homework's, 4 of which are graded

midterm covers stuff you learn first 5 weeks of class
which is about 10 pages of his hand written notes
midterm only had 3/4 questions and they are stuff you can do if u understand the examples from his notes and homework

final only covers stuff u learn from week 6-10, final is always on the last day of class. again about 4/5 questions

stop 20% of students get As
next 20-80% get Bs
and botton 20% get C's or lower...

Also you can take 4 pages of notes to each exam

I took 102B and 102C with him

Helpful?

0 0 Please log in to provide feedback.
Quarter: Fall 2018
Grade: NR
Dec. 23, 2019

This professor actually is the worst LOL. This is my first bruinwalk review and I’ve never felt more motivated to write a bad review. I took this class because unfortunately Chen’s lecture was filled up. Zhou was unbearable. Homework was difficult and his notes were not understandable. His midterm and final were nothing like the material he taught in class. Apparently a girl in my lecture was crying during the final. Please please avoid this guy. If you look at Chen’s grade distribution, it’s like 60% A’s. That is NOT the case with Zhou who only gives the top 20% a variation of an A. If you want to apply to grad school, avoid this gpa killer. You’ll get your GPA lowered and it won’t even be worth it because you won’t learn anything. Seriously, avoid this professor. I’ve never learned less in an upper division stats class and this guy should have never been allowed to start teaching this class again.

Helpful?

2 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: U
Dec. 23, 2019

I was excited for 102c. But this professor made this class unbearable. His exam is not reflective of class materials. Despite hours and hours of studying, it doesn’t matter because the final exam was outside of the scope. He said a certain date for an ADDITIONAL take home final and then cut back time and it was due the next day. Wish I could’ve taken it with Chen.

Helpful?

1 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Fall 2021
Grade: A
Dec. 18, 2021

I really enjoyed this class.
The material was very interesting and I found use of it immediately after finishing the course.
The workload is pretty light, a few assignments, midterm and exam were takehome.
Lecture notes were clear and instructive.

Most of all I appreciate that prof Zhou was really good at answering my questions, clear, concise and insightful.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Fall 2019
Grade: C-
March 30, 2020

This professor is the worst I had at UCLA. His exam is super hard. The mean and median for the whole class is super low, around 40 out of 100. However, he does not curve at all. The grade you get from midterm and final is the actual grade of your total grade. This means that all students from this class get below B-. I got C-, one my friend from this class got C- as well. Another student I know got C. Please! Do not take this class with Qing Zhou. He knows Monte Carlos. However, he does not know how to teach. Moreover, his exams are super super super hard.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Spring 2016
Grade: A-
April 2, 2017

102C is one of the harder classes that stats majors have to take but the topics are highly interesting, and different (in a good way) than the other classes. It's a more simulation-based rather than mathematical approach to statistics, and the best part is that if you don't know how to prove something theoretically, you can write code to figure out the approximate answers. That's pretty powerful and this class introduces some examples of that approach.

Zhou taught very well and his lectures were understandable. I remember the final exam had a take-home programming part that was quite hard. Homework and tests were doable but required you to really understand the material. Highly recommend taking this class with Zhou.

Helpful?

0 0 Please log in to provide feedback.
Quarter: N/A
Grade: N/A
June 17, 2013

he posts his hand written notes online,
midterm 40%
final 50%
hw 10%

There are 5 homework's, 4 of which are graded

midterm covers stuff you learn first 5 weeks of class
which is about 10 pages of his hand written notes
midterm only had 3/4 questions and they are stuff you can do if u understand the examples from his notes and homework

final only covers stuff u learn from week 6-10, final is always on the last day of class. again about 4/5 questions

stop 20% of students get As
next 20-80% get Bs
and botton 20% get C's or lower...

Also you can take 4 pages of notes to each exam

I took 102B and 102C with him

Helpful?

0 0 Please log in to provide feedback.
1 of 1
3.6
Overall Rating
Based on 15 Users
Easiness 2.8 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.8 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.9 / 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.

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