Emily Weisburst
Department of Public Affairs
AD
3.5
Overall Rating
Based on 6 Users
Easiness 3.3 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.5 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.3 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 4.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
  • Snazzy Dresser
  • Gives Extra Credit
  • Needs Textbook
  • Useful Textbooks
  • Appropriately Priced Materials
  • Would Take Again
  • Participation Matters
GRADE DISTRIBUTIONS
37.3%
31.1%
24.9%
18.6%
12.4%
6.2%
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.

45.7%
38.1%
30.5%
22.9%
15.2%
7.6%
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.

45.5%
37.9%
30.3%
22.7%
15.2%
7.6%
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
Clear marks

Sorry, no enrollment data is available.

AD

Reviews (5)

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Quarter: Winter 2020
Grade: A+
June 21, 2020

A lot of people were dissatisfied with this class because Prof. Weisburst tried to integrate economics and statistics (simply to explain concepts; we weren't expected to understand) and because topics couldn't *immediately* be understood. In reality, Prof. Weisburst was clear, easy to follow if you had taken PA 60 or another stats class before, and she really cared about student success, which is reflected in the grade distribution. People really hated her for no reason. She taught a great class.

Helpful?

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Quarter: Winter 2020
Grade: A+
March 30, 2020

Professor Weisburt was wonderful. It was her first time teaching an undergrad class, so obviously there was going to be a learning curve and at times the class was a bit faced paced. However, she was always open to listening to our opinions and feedback and changing the class accordingly; she was also incredibly helpful to go to during office hours. EC and curves were incredibly generous. Midterm was easy, Final was a little more difficult but still fair.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: B-
Verified Reviewer This user is a verified UCLA student/alum.
March 26, 2020

Professor Weisburst, while well meaning, was not even close to being prepared to teach this class. She spent a significant amount of class time teaching calculus concepts despite explicitly saying they wont be relevant to the class. She is clearly operating at a higher level of statistical/economic thought for a class exclusively filled with north campus majors. The homework is based on the programming language R, which by the professors own admission, she does not know how to use. Your success in the homework is highly dependent on the TA's. Because of this, the homework, lectures, and tests, are all disconnected from each other

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
March 24, 2020

This class is pretty tough for people who are not comfortable with math but I do think it´s manageable. I highly suggest going to TA/Professor office hours where they'll be able to help out with the problem sets. I went to these almost every week and it helped a lot. This class is new so expect changes as they take into account feedback etc... Overall I would say this class is not bad.

Grade Breakdown:

Problem sets 40%
Final 25%
Midterm 25%
Participation/Attendance: 10%

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
March 24, 2020

This class started out very rough and unorganized. The professor would move through material very fast and the assigned homework would not follow the same material as the one presented during lecture. However, she did listen to our concerns as a class and made some adjustments to help us succeed. There is an in-class midterm and final, in addition, there are problem sets assigned throughout the quarter which involve R Studio (no R Studio material is covered in lecture). The problem sets are much more complicated than the midterm and final but they do help when studying. I think the main problems with the class was the grading process and the way it was organized. Our respective TAs did not grade our work so when going to office hours it was sometimes useless because their help was not sufficient sometimes if another TA graded our homework.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A+
June 21, 2020

A lot of people were dissatisfied with this class because Prof. Weisburst tried to integrate economics and statistics (simply to explain concepts; we weren't expected to understand) and because topics couldn't *immediately* be understood. In reality, Prof. Weisburst was clear, easy to follow if you had taken PA 60 or another stats class before, and she really cared about student success, which is reflected in the grade distribution. People really hated her for no reason. She taught a great class.

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A+
March 30, 2020

Professor Weisburt was wonderful. It was her first time teaching an undergrad class, so obviously there was going to be a learning curve and at times the class was a bit faced paced. However, she was always open to listening to our opinions and feedback and changing the class accordingly; she was also incredibly helpful to go to during office hours. EC and curves were incredibly generous. Midterm was easy, Final was a little more difficult but still fair.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Winter 2020
Grade: B-
March 26, 2020

Professor Weisburst, while well meaning, was not even close to being prepared to teach this class. She spent a significant amount of class time teaching calculus concepts despite explicitly saying they wont be relevant to the class. She is clearly operating at a higher level of statistical/economic thought for a class exclusively filled with north campus majors. The homework is based on the programming language R, which by the professors own admission, she does not know how to use. Your success in the homework is highly dependent on the TA's. Because of this, the homework, lectures, and tests, are all disconnected from each other

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
March 24, 2020

This class is pretty tough for people who are not comfortable with math but I do think it´s manageable. I highly suggest going to TA/Professor office hours where they'll be able to help out with the problem sets. I went to these almost every week and it helped a lot. This class is new so expect changes as they take into account feedback etc... Overall I would say this class is not bad.

Grade Breakdown:

Problem sets 40%
Final 25%
Midterm 25%
Participation/Attendance: 10%

Helpful?

0 0 Please log in to provide feedback.
Quarter: Winter 2020
Grade: A
March 24, 2020

This class started out very rough and unorganized. The professor would move through material very fast and the assigned homework would not follow the same material as the one presented during lecture. However, she did listen to our concerns as a class and made some adjustments to help us succeed. There is an in-class midterm and final, in addition, there are problem sets assigned throughout the quarter which involve R Studio (no R Studio material is covered in lecture). The problem sets are much more complicated than the midterm and final but they do help when studying. I think the main problems with the class was the grading process and the way it was organized. Our respective TAs did not grade our work so when going to office hours it was sometimes useless because their help was not sufficient sometimes if another TA graded our homework.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
3.5
Overall Rating
Based on 6 Users
Easiness 3.3 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 3.5 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.3 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 4.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
    (6)
  • Snazzy Dresser
    (1)
  • Gives Extra Credit
    (5)
  • Needs Textbook
    (3)
  • Useful Textbooks
    (3)
  • Appropriately Priced Materials
    (3)
  • Would Take Again
    (4)
  • Participation Matters
    (2)
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