Course Description:
CS 136: Elementary Algorithm Design and Data Abstraction
This course builds on the techniques and patterns learned in CS 135 while making the transition to use of an imperative language. It introduces the design and analysis of algorithms, the management of information, and the programming mechanisms and methodologies required in implementations. Topics discussed include iterative and recursive sorting algorithms; lists, stacks, queues, trees, and their application; abstract data types and their implementations.
Dave's Comments:
The room I was in (RCH 307) was terrible. The projector screen completely blocked the whiteboards, which made doing diagrams very awkward. Half-way through the term I switched to using a tablet pc for the diagrams, and by the end of the term, I was reasonably proficient.

Otherwise, see my comments for the other section.
Teaching Evaluations:
Number of Respondents: 70 / 110 (64%)
Characteristics of the Instructor:
Evaluate the organization and coherence of the lectures.
ExcellentGoodSatisfactoryUnsatisfactoryVery poorNo opinion
5713
81%19%
At what level were the instructor's explanations aimed?
Too highSomewhat too highJust rightSomewhat too lowToo lowNo opinion
95731
13%81%4%1%
Evaluate the instructor's treatment of students' questions.
ExcellentGoodSatisfactoryUnsatisfactoryVery poorNo opinion
471751
67%24%7%1%
Evaluate the effectiveness of the instructor's visual presentation (blackboard, overheads, etc.).
ExcellentGoodSatisfactoryUnsatisfactoryVery poorNo opinion
43216
61%30%9%
Evaluate the effectiveness of the instructor's oral presentation.
ExcellentGoodSatisfactoryUnsatisfactoryVery poorNo opinion
6172
87%10%3%
Was the instructor available for help outside of class?
AlwaysMost of the timeOften enoughNot often enoughNeverI did not seek help
20124232
29%17%6%3%46%
Did you find the course interesting?
Very InterestingInterestingNot interestingNo opinion
31381
44%54%1%
Evaluate the overall effectiveness of the instructor as a teacher.
ExcellentGoodSatisfactoryUnsatisfactoryVery poorNo opinion
637
90%10%
Characteristics of the Course:
What proportion of lectures did you attend in this course?
90-100%75-90%50-75%25-50%< 25%
61621
87%9%3%1%
Was the assigned work (assignments, projects, etc.) helpful in learning the course content?
Very helpfulHelpfulNot helpfulNo work assignedNo opinion
41272
59%39%3%
Were the printed notes (if any) helpful in learning the course content?
Very helpfulHelpfulNot helpfulNo printed course notesNo opinion
412045
59%29%6%7%
Was the required textbook (if any) helpful in learning the course content?
Very helpfulHelpfulNot helpfulNo text requiredNo opinion
26231028
3%9%33%14%41%
Did the course introduce an appropriate amount of new material?
Too muchSomewhat too muchOkaySomewhat too littleToo littleNo opinion
2125041
3%17%72%6%1%
Was the amount of assigned work required for the course appropriate?
Too muchSomewhat too muchOkaySomewhat too littleToo littleNo opinion
62935
9%41%50%
On average, how many hours per week did you spend on this course outside of lectures?
0-2 hours3-6 hours7-10 hours11-15 hours> 15 hours
22027147
3%29%39%20%10%
Comments:
Note: This is a complete list of comments I received, listed alphabetically to avoid bias.
Please mention anything that you feel the instructor has done well in this course.
Please make constructive comments about anything in the instructor's technique or style that could, in your opinion, be improved.
What were the strong points of the course?
What were the weak points of the course?
Was the class atmosphere affected either positively or negatively by attitudes of the instructor or students, e.g., with respect to gender, race, ability, appearance? Please explain.
Any other comments, e.g., class size, suitability of room, noise level, etc.
All of the data for this page is available in the github repository: https://github.com/dtompkins/teacheval