Ira Clark
Department of Biomedical Research
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5.0
Overall Rating
Based on 1 User
Easiness 3.0 / 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 5.0 / 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
83.3%
69.4%
55.6%
41.7%
27.8%
13.9%
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.

78.2%
65.1%
52.1%
39.1%
26.1%
13.0%
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.

67.1%
55.9%
44.7%
33.5%
22.4%
11.2%
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.

72.6%
60.5%
48.4%
36.3%
24.2%
12.1%
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.

69.0%
57.5%
46.0%
34.5%
23.0%
11.5%
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.

75.0%
62.5%
50.0%
37.5%
25.0%
12.5%
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.

78.8%
65.7%
52.5%
39.4%
26.3%
13.1%
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.

80.0%
66.7%
53.3%
40.0%
26.7%
13.3%
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.

68.5%
57.1%
45.7%
34.3%
22.8%
11.4%
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.

77.5%
64.6%
51.7%
38.8%
25.8%
12.9%
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.

100.0%
83.3%
66.7%
50.0%
33.3%
16.7%
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.

85.7%
71.4%
57.1%
42.9%
28.6%
14.3%
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.

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.

42.1%
35.1%
28.1%
21.1%
14.0%
7.0%
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.

46.0%
38.3%
30.7%
23.0%
15.3%
7.7%
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.

48.1%
40.1%
32.1%
24.1%
16.0%
8.0%
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.

49.4%
41.2%
32.9%
24.7%
16.5%
8.2%
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.

51.3%
42.7%
34.2%
25.6%
17.1%
8.5%
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.

29.4%
24.5%
19.6%
14.7%
9.8%
4.9%
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.

58.2%
48.5%
38.8%
29.1%
19.4%
9.7%
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: Winter 2020
Grade: A
April 15, 2020

Dr. Clark is a very good professor and you could tell he cares about his students. I took this class with only LS7A under my belt (had no previous science experience before) and managed to get an A, but I did work for it. I really did not know anything about research coming into this class (I am a freshman) and this really gave me insight on what biomedical research is about. After this class, I was able to decide if I really wanted to pursue biomed research and I think I rather not. So if you don't know if you would like to pursue biomed research, take this class to dip your toes. The minor is really meant for students who are passionate about it (not just to make yourself look good for med school or anything like that), and it is super highly competitive to get in. Even though I may not pursue biomed research, I am glad I took this class.

Helpful?

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Quarter: Winter 2020
Grade: A
April 15, 2020

Dr. Clark is a very good professor and you could tell he cares about his students. I took this class with only LS7A under my belt (had no previous science experience before) and managed to get an A, but I did work for it. I really did not know anything about research coming into this class (I am a freshman) and this really gave me insight on what biomedical research is about. After this class, I was able to decide if I really wanted to pursue biomed research and I think I rather not. So if you don't know if you would like to pursue biomed research, take this class to dip your toes. The minor is really meant for students who are passionate about it (not just to make yourself look good for med school or anything like that), and it is super highly competitive to get in. Even though I may not pursue biomed research, I am glad I took this class.

Helpful?

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