Course record CS

CS 5392

Reinforcement Learning

Grade distribution unavailable4 professors

Evaluations: 2004–2026

Flunk Score—

Not enough comparison data

This course does not have a reliable within-school grade or evaluation comparison yet.

Student evaluations

4.31 / 5 School avg. 4.35

4 records · item-response medians stored per record

Compared with the school, highest difference first.

Opportunities to be successful in course+0.15

Course assignments facilitated learning+0.07

Overall course helped learn required concepts/ skills+0.04

Instructor tailored instructions/ lessons to variety of perspectives−0.07

Instructor helped to understand relevance of course content−0.16

Course was organized−0.20

Instructors teaching methods helped to learn course content−0.21

Instructor presented material in way that helped engage in course−0.38

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 4 rated professors · A signal, not a grade

Means on a 1–5 scale. Response totals above describe the combined record, not each question.
Question	Record	School	Difference
Course was organized	4.12	4.31	−0.20
Course assignments facilitated learning	4.41	4.34	+0.07
Opportunities to be successful in course	4.41	4.26	+0.15
Overall course helped learn required concepts/ skills	4.45	4.40	+0.04
Instructor helped to understand relevance of course content	4.30	4.46	−0.16
Instructors teaching methods helped to learn course content	4.14	4.35	−0.21
Instructor presented material in way that helped engage in course	4.08	4.46	−0.38
Instructor tailored instructions/ lessons to variety of perspectives	4.16	4.23	−0.07

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