Geoffrey Andrew Fricker
Department of Geography
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5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 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 3.0 / 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.

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GRADE DISTRIBUTIONS
30.8%
25.6%
20.5%
15.4%
10.3%
5.1%
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.

40.0%
33.3%
26.7%
20.0%
13.3%
6.7%
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: Fall 2017
Grade: N/A
Dec. 4, 2017

Fricker does a great job of breaking down complex concepts of remote sensing into something digestible for students. His lectures are engaging, and though long, are usually split between an hour-ish of lecture and then another for group work/labs.
His tests (midterm and final) mostly cover subjects discussed in class/on the slides and during lectures, he emphasizes material that you should know for the exams. Guest lectures and lab material is included in tests as well. In terms of homework, there are only labs and the culminating final group project. The labs can sometimes be long and tedious but the instructions literally walk through all the steps needed. Make sure to start the labs early(not the day of!) so that you have time to clarify with the TA or Fricker about some conceptual questions. It's sometimes very hard to decipher what the question is asking for and where to find the answer. I think there was only one TA for the class, Jun, and he was so helpful as well!

Overall, I thoroughly enjoyed taking this class and it has definitely piqued my interest in doing more remote sensing in the future. Fricker is a great professor! (super chill/helpful/understanding/knowledgable)

Helpful?

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Quarter: Fall 2017
Grade: N/A
Dec. 4, 2017

Fricker does a great job of breaking down complex concepts of remote sensing into something digestible for students. His lectures are engaging, and though long, are usually split between an hour-ish of lecture and then another for group work/labs.
His tests (midterm and final) mostly cover subjects discussed in class/on the slides and during lectures, he emphasizes material that you should know for the exams. Guest lectures and lab material is included in tests as well. In terms of homework, there are only labs and the culminating final group project. The labs can sometimes be long and tedious but the instructions literally walk through all the steps needed. Make sure to start the labs early(not the day of!) so that you have time to clarify with the TA or Fricker about some conceptual questions. It's sometimes very hard to decipher what the question is asking for and where to find the answer. I think there was only one TA for the class, Jun, and he was so helpful as well!

Overall, I thoroughly enjoyed taking this class and it has definitely piqued my interest in doing more remote sensing in the future. Fricker is a great professor! (super chill/helpful/understanding/knowledgable)

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 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 3.0 / 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

There are no relevant tags for this professor yet.

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