Nicolas Christou
Department of Statistics
AD
5.0
Overall Rating
Based on 3 Users
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.7 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Tolerates Tardiness
  • Engaging Lectures
  • Appropriately Priced Materials
  • Tough Tests
  • Would Take Again
  • Issues PTEs
GRADE DISTRIBUTIONS
34.6%
28.8%
23.1%
17.3%
11.5%
5.8%
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.

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.

47.4%
39.5%
31.6%
23.7%
15.8%
7.9%
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.

28.2%
23.5%
18.8%
14.1%
9.4%
4.7%
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.

58.8%
49.0%
39.2%
29.4%
19.6%
9.8%
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.

66.7%
55.6%
44.4%
33.3%
22.2%
11.1%
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.

70.0%
58.3%
46.7%
35.0%
23.3%
11.7%
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.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Spring 2018
Grade: A
March 31, 2018

This is an extremely interesting class and professor Christou does an amazing job of teaching it. Knowing what to do with spatial data is an increasingly important skill, and in this class you'll learn how to analyze if there are trends in spatial data, make predictions, create heat maps, contour maps, etc. Dr. Christou is one of the best instructors in the department and you will walk away with rigorous and practical knowledge.

Helpful?

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Quarter: Spring 2018
Grade: A
March 31, 2018

This is an extremely interesting class and professor Christou does an amazing job of teaching it. Knowing what to do with spatial data is an increasingly important skill, and in this class you'll learn how to analyze if there are trends in spatial data, make predictions, create heat maps, contour maps, etc. Dr. Christou is one of the best instructors in the department and you will walk away with rigorous and practical knowledge.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 3 Users
Easiness 2.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.7 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Tolerates Tardiness
    (1)
  • Engaging Lectures
    (2)
  • Appropriately Priced Materials
    (1)
  • Tough Tests
    (2)
  • Would Take Again
    (2)
  • Issues PTEs
    (1)
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