Chenfanfu Jiang
Department of Mathematics
AD
5.0
Overall Rating
Based on 1 User
Easiness N/A / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity N/A / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload N/A / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness N/A / 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
50.0%
41.7%
33.3%
25.0%
16.7%
8.3%
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.

73.2%
61.0%
48.8%
36.6%
24.4%
12.2%
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 (1)

1 of 1
1 of 1
Add your review...
Quarter: Winter 2024
Grade: N/A
Verified Reviewer This user is a verified UCLA student/alum.
March 11, 2024

The professor is extremely nice and helpful. His lecture notes are very clear, so I was always able to follow along. The pace of the course is reasonable, and I am able to strengthen my understanding of the concepts through working on HW problems, which prompt you to think and practice but are not too challenging to the point that you just have no idea how to solve them. The midterm and final tests are also very accommodating, where we had open book and notes and questions that focus more on implementing the numerical methods rather than on the very theoretical stuff (at least for the midterm). One thing I'm not extremely comfortable with is using Matlab because I've never really used it before, but it should still be ok to handle if you have some programming experience before. Overall, I would really recommend taking the course with Professor Chenfanfu Jiang!

Helpful?

1 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2024
Grade: N/A
March 11, 2024

The professor is extremely nice and helpful. His lecture notes are very clear, so I was always able to follow along. The pace of the course is reasonable, and I am able to strengthen my understanding of the concepts through working on HW problems, which prompt you to think and practice but are not too challenging to the point that you just have no idea how to solve them. The midterm and final tests are also very accommodating, where we had open book and notes and questions that focus more on implementing the numerical methods rather than on the very theoretical stuff (at least for the midterm). One thing I'm not extremely comfortable with is using Matlab because I've never really used it before, but it should still be ok to handle if you have some programming experience before. Overall, I would really recommend taking the course with Professor Chenfanfu Jiang!

Helpful?

1 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness N/A / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity N/A / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload N/A / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness N/A / 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!