Course record CS
CS 5311
Programming with R for Data Analysis and Machine Learning
Grade distribution unavailable1 professor
Evaluations: 2020
Latest dated data is over 4 years old.
Flunk Score—
Not enough comparison dataThis course does not have a reliable within-school grade or evaluation comparison yet.
Student evaluations
4.25 / 5
School avg. 4.35
34 median item responses
How the ratings compare
Compared with the school, highest difference first.
Instructors teaching methods helped to learn course content+0.12
Course assignments facilitated learning−0.03
Instructor tailored instructions/ lessons to variety of perspectives−0.05
Opportunities to be successful in course−0.06
Overall course helped learn required concepts/ skills−0.16
Course was organized−0.16
Instructor presented material in way that helped engage in course−0.20
Instructor helped to understand relevance of course content−0.25
Left: below school averageRight: above school average
0 = school average for each question. +0.50 means half a point above it on the 1–5 rating scale.
View exact values
TTU HB2504 (8-item) · across 1 rated professor · A signal, not a grade
| Question | Record | School | Difference |
|---|---|---|---|
| Course was organized | 4.15 | 4.31 | −0.16 |
| Course assignments facilitated learning | 4.31 | 4.34 | −0.03 |
| Opportunities to be successful in course | 4.21 | 4.26 | −0.06 |
| Overall course helped learn required concepts/ skills | 4.25 | 4.40 | −0.16 |
| Instructor helped to understand relevance of course content | 4.21 | 4.46 | −0.25 |
| Instructors teaching methods helped to learn course content | 4.47 | 4.35 | +0.12 |
| Instructor presented material in way that helped engage in course | 4.26 | 4.46 | −0.20 |
| Instructor tailored instructions/ lessons to variety of perspectives | 4.18 | 4.23 | −0.05 |
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