Professor record APPM

Osita Eluemuno Onyejekwe

University of Colorado Boulder

853 grades10 sections19 courses
Grades: Dates unavailableEvaluations: 2020–2026
Flunk Score31/100
Below average
Grades + Evaluations
Grades32school-relative grade standingEvaluations30school-relative student rating Equal weight

Courses taught

19 courses
Level
Sort
APPM 1360 Calculus 2 for Engineers 208 grades 2.13GPA
13.9% A
31.7% B
29.8% C
7.2% D
17.3% F

208 letter grades · 1 section · 1 term

APPM 2360 Introduction to Differential Equations with Linear Algebra 11 reported responses 4.29Eval / 5
Overall4.29 / 5

11 reported responses

Scale 1–5
Critical examination of evidence3.95
Technology4.05
Synthesis3.99
Collaboration3.85
Connection4.42
Contribution4.47
Discussion4.23
Inclusivity4.38
Grading4.31
Reflection4.04
Respect4.85
Creativity4.22
Feedback3.92
Interaction4.85
Challenge3.81
Questions4.08
CSCI 2820 Linear Algebra with Computer Science Applications 128 grades 3.04GPA
42.2% A
38.3% B
10.9% C
2.3% D
6.3% F

128 letter grades · 1 section · 1 term

CSCI 3022 Introduction to Data Science with Probability and Statistics 14 reported responses 4.28Eval / 5
Overall4.28 / 5

14 reported responses

Scale 1–5
Critical examination of evidence4.08
Technology4.55
Synthesis4.02
Collaboration4.03
Connection4.07
Contribution4.22
Discussion4.83
Inclusivity3.71
Grading4.67
Reflection4.73
Respect4.76
Creativity4.51
Feedback4.33
Interaction4.88
Challenge4.93
Questions4.14
CSCI 3656 Numerical Computation 44 grades 3.52GPA
84.1% A
4.5% B
6.8% C
0.0% D
4.5% F

44 letter grades · 1 section · 1 term

CSCI 4022 Advanced Data Science 18 reported responses 4.44Eval / 5
Overall4.44 / 5

18 reported responses

Scale 1–5
Critical examination of evidence4.50
Technology4.60
Synthesis4.40
Collaboration4.40
Connection4.20
Contribution4.70
Discussion4.80
Inclusivity4.60
Grading4.60
Reflection4.50
Respect4.80
Creativity4.00
Feedback4.10
Interaction4.60
Challenge4.30
Questions4.70
CSCI 5434 Probability for Computer Science 22 reported responses 4.49Eval / 5
Overall4.49 / 5

22 reported responses

Scale 1–5
Critical examination of evidence4.50
Technology4.57
Synthesis4.35
Collaboration4.32
Connection4.12
Contribution4.35
Discussion4.52
Inclusivity4.12
Grading4.52
Reflection4.58
Respect4.52
Creativity4.63
Feedback4.25
Interaction4.72
Challenge4.65
Questions4.65
CSCI 5502 Data Mining 105 grades 3.89GPA
97.1% A
1.0% B
0.0% C
0.0% D
1.9% F

105 letter grades · 1 section · 1 term

CSCI 5612 Machine Learning for Data Science 9 reported responses 4.12Eval / 5
Overall4.12 / 5

9 reported responses

Scale 1–5
Critical examination of evidence3.74
Technology4.19
Synthesis4.41
Collaboration2.69
Connection3.74
Contribution4.09
Discussion3.94
Inclusivity3.19
Grading3.62
Reflection3.88
Respect4.94
Creativity4.81
Feedback3.72
Interaction3.54
Challenge4.13
Questions4.28
CSCI 5622 Machine Learning 60 grades 3.62GPA
71.7% A
26.7% B
0.0% C
0.0% D
1.7% F

60 letter grades · 1 section · 1 term

DTSC 5900 Special Topics 2 reported responses 4.70Eval / 5
Overall4.70 / 5

2 reported responses

Scale 1–5
Critical examination of evidence5.00
Technology4.50
Synthesis4.50
Collaboration4.50
Connection5.00
Contribution5.00
Discussion4.50
Inclusivity5.00
Grading4.50
Reflection4.50
Respect5.00
Creativity5.00
Feedback4.00
Interaction5.00
Challenge5.00
Questions5.00
DTSC 5930 Professional Internship 6 reported responses 4.86Eval / 5
Overall4.86 / 5

6 reported responses

Scale 1–5
Critical examination of evidence4.80
Technology5.00
Synthesis4.80
Collaboration5.00
Connection4.80
Contribution4.80
Discussion5.00
Inclusivity4.80
Grading4.80
Reflection4.60
Respect5.00
Creativity5.00
Feedback5.00
Interaction4.40
Challenge5.00
Questions5.00
INFO 4652 Statistical Programming in R 24 grades · Limited sample 3.80GPA
83.3% A
16.7% B
0.0% C
0.0% D
0.0% F

24 letter grades · 1 section · 1 term · Limited sample

INFO 5652 Statistical Programming in R 7 reported responses 4.01Eval / 5
Overall4.01 / 5

7 reported responses

Scale 1–5
Critical examination of evidence4.40
Technology3.90
Synthesis4.30
Collaboration3.10
Connection4.70
Contribution3.30
Discussion3.90
Inclusivity4.10
Grading3.60
Reflection3.90
Respect4.90
Creativity4.70
Feedback3.00
Interaction4.30
Challenge4.70
Questions4.00
STAT 2600 Introduction to Data Science 102 grades 3.21GPA
54.9% A
24.5% B
14.7% C
0.0% D
5.9% F

102 letter grades · 1 section · 1 term

STAT 3400 Applied Regression 118 grades 3.37GPA
53.4% A
37.3% B
6.8% C
0.8% D
1.7% F

118 letter grades · 1 section · 1 term

STAT 4010 Statistical Methods and Applications II 1 reported responses 4.00Eval / 5
Overall4.00 / 5

1 reported responses

Scale 1–5
Critical examination of evidence4.00
Technology4.00
Synthesis4.00
Collaboration4.00
Connection4.00
Contribution4.00
Discussion4.00
Inclusivity4.00
Grading4.00
Reflection4.00
Respect4.00
Creativity4.00
Feedback4.00
Interaction4.00
Challenge4.00
Questions4.00
STAT 5010 Statistical Methods and Applications II 51 grades 3.71GPA
84.3% A
13.7% B
2.0% C
0.0% D
0.0% F

51 letter grades · 1 section · 1 term

STAT 5600 Methods in Statistical Learning 13 grades · Limited sample 3.82GPA
84.6% A
15.4% B
0.0% C
0.0% D
0.0% F

13 letter grades · 1 section · 1 term · Limited sample

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