STUDENTS' RATINGS/COMMENTS ON MODULE



Faculty:  SCHOOL OF COMPUTING Academic Year:  2006/2007
Department:  COMPUTER SCIENCE Semester:  2
Module:  FOUNDATIONS OF ARTIFICIAL INTELLIGENCE -  CS3243
Note:  Feedback on module in general
QnItems EvaluatedModule Avg ScoreNos Responded




1Overall opinion of the module.4.16237
2Grade likely to get for the module.4.05636
3Difficulty level of the module.3.75737

QN\SCORE

5

4

3

2

1







Qn 1:  Overall opinion of the module.

Excellent

Good

Satisfactory

Unsatisfactory

Poor

Qn 2:  Grade likely to get for the module.

A

B

C

D

F

Qn 3:  Difficulty level of the module.

Very Difficult

Difficult

Average

Easy

Very Easy


Frequency Distribution (Qn 1:  Students' Overall Opinion on the module)

Nos. of Respondents(% of Respondents)


|






ITEM\SCORE

|

Excellent

Good

Satisfactory

Unsatisfactory

Poor


|






Module

|

13 (35.14%)

18 (48.65%)

5 (13.51%)

1 (2.70%)

0 (.00%)

Module at Same Level (Dept)

|

82 (15.36%)

224 (41.95%)

181 (33.90%)

31 (5.81%)

16 (3.00%)

Module at Same Level (Fac)

|

130 (13.46%)

427 (44.20%)

339 (35.09%)

44 (4.55%)

26 (2.69%)


Frequency Distribution (Qn 2:  Grades likely to get for the module)

Nos. of Respondents(% of Respondents)


|






ITEM\SCORE

|

A

B

C

D

F


|






Module

|

8 (22.22%)

22 (61.11%)

6 (16.67%)

0 (.00%)

0 (.00%)

Module at Same Level (Dept)

|

116 (22.05%)

300 (57.03%)

87 (16.54%)

18 (3.42%)

5 (.95%)

Module at Same Level (Fac)

|

196 (20.52%)

548 (57.38%)

178 (18.64%)

27 (2.83%)

6 (.63%)


Frequency Distribution (Qn 3:  Difficulty level of the module)

Nos. of Respondents(% of Respondents)


|






ITEM\SCORE

|

Very Difficult

Difficult

Average

Easy

Very Easy


|






Module

|

6 (16.22%)

18 (48.65%)

11 (29.73%)

2 (5.41%)

0 (.00%)

Module at Same Level (Dept)

|

109 (20.37%)

269 (50.28%)

145 (27.10%)

11 (2.06%)

1 (.19%)

Module at Same Level (Fac)

|

192 (19.86%)

416 (43.02%)

330 (34.13%)

28 (2.90%)

1 (.10%)


Q1.  Please comment on the strengths and weaknesses of the module, and suggest possible improvements.
1.Too much implementation and too much CA
2.excellent module.. excellently taught and handled
3.Interesting but difficult module
4.the projects are really interesting. if only i can cope with the 2nd one :(
5.Easy module.
6.This is a very interesting module. I would like to have a summary or discussion after each project so that we can know the approaches of other groups. The guest lectures are interesting, and the speakers are very good.
7.First part of module rather boring.
8.The module introduces artificial intelligence in a way that a wide variety of concepts are thrown at students. This is a good thing provided concepts can be fully understood in lecture.
9.Strengths: Ben Leong. Weakness: The guy at SOC who ask him to teach. He is a Computer Networking specialist for God's sake. Come on lah, surely, SOC can do better.
10.Very Interesting module.. esp for Projects.... Things taught in this module seem to be quite basic and intuitive too..
11.The module touches very lightly on various aspects of AI. The project-based approach makes the module very interesting and is a refreshing change from the monotony of lectures and tutorials only.
12.Ben Leong should not be teaching AI at all since he does networking and not AI.
13.this module is interesting and gave me an introducion on how to make machines think