COMP9414/9814 Course Outline
|Alan Blair||Lecturer-in-Charge||blair "at" cse.unsw.edu.au||TBA||9385-7131|
Any email relating to this course should be sent directly to the Lecturer-in-Charge, not to the cs9141 account. (Note: other courses may have different arrangements for contacting staff.)
You should make sure that you regularly read email sent to your CSE account. By default this is redirected to your UNSW zMail account. If you want it to go somewhere else, you can: use the "mlalias" command on a CSE Unix workstation to forward all email that is sent to your CSE mail account on to your preferred email address: e.g.
mlalias -C z1234567 -a firstname.lastname@example.org you replace z1234567 by your CSE Unix login, and email@example.com by your preferred email address. Test that this is working by sending an email to your CSE email address to check that it is forwarded correctly.
|COMP9414/9814||Wed 6-9||CLB 7||COMP9814 only||Fri 10-11||Mathews Theatre B|
Co-requisite: COMP9021. That is, you must have completed an introductory programming course such as COMP9021, or be concurrently enrolled in COMP9021.
|COMP9417 Machine Learning and Data Mining|
|COMP4418 Knowledge Representation and Reasoning|
|COMP9431 Robotic Software Architectures|
|COMP9517 Machine Vision|
|COMP9444 Neural Networks and Deep Learning|
Programming laboratories (weeks 2-5) provide an opportunity to learn the basic Prolog programming skills necessary for completing the programming assignments. Lab demonstrators are present so that students who get stuck on some point can ask a demonstrator for help, and have the difficulty rapidly resolved.
Exercise sets allow you to test and extend your understanding of the lecture materials by tackling problems based on those materials. Students are expected to work through exercises at home and be prepared to discuss them (or raise any questions) during the third hour of the Monday lecture (or during the programming laboratories, or consultation sessions).
Further details about the assignments will be posted on the Course Web site. Programming assignments give the students an opportunity to put into practice the ideas and approaches that have been presented in lectures and discussed in tutorials. They may, for example, involve writing a program to:
Component Mark Assignments 40% Written Exam 60%
Stuart Russell and Peter Norvig, Artificial Intelligence: a Modern Approach, 3th Ed., Prentice Hall, 2010.
Ivan Bratko, Programming in Prolog for Artificial Intelligence, 4th Edition, Pearson, 2013.
The following books might also serve as additional reference material:
Nils J. Nilsson, Artificial Intelligence: a New Synthesis, Morgan Kaufmann, 1998, ISBN 1-55860-467-7.Links to electronic resources will be provided on the Course Web page throughout the session.
Valentino Braitenberg, Vehicles: Experiments in Synthetic Psychology, MIT Press, 1984, ISBN 0-262-52112-1.
All work submitted for assessment must be your own work. We are aware that a lot of learning takes place in student conversations, and we don't wish to discourage this. However, it is important, both for those helping others and those being helped, not to provide/accept any programming language code either electronically or in writing - since it is apt to be used exactly as is, and lead to plagiarism penalties for both the supplier and the copier of the code. Write something on a piece of paper, by all means, but tear it up or take it away with you when the discussion is over.
In addition, soliciting another person to write code for you - either in person or through the Internet - is never permitted. Generally, the copying of code already available on the Internet is also forbidden. If you find some piece of "standard" code in a textbook, or on the Internet, which you would like to adapt and incorporate into your own assignment, you must email the lecturer in charge to ask if it is permissible to do so in the particular circumstances - in which case the source would have to be acknowledged in your submission, and you would need to demonstrate that you had done a substantial amount of work for the assignment yourself.
When evidence of plagiarism is found, the students involved will be dealt with according to School Policy, which provides serious penalties particularly in the case of repeat offences. More information can be found at these links:
UNSW Policy on Academic Honesty and Plagiarism
UNSW Plagiarism Policy Statement
UNSW Plagiarism Procedures
Essential Advice for CSE Students
Students are also encouraged to provide informal feedback during the
session, and to let the lecturer in charge know of
any problems, as soon as they arise.
Suggestions will be listened to openly and constructively,
and every reasonable effort will be made to address them.