This unit includes history and philosophy of artificial intelligence; intelligent agents; problem solving and search (problem representation, heuristic search, iterative improvement, game playing); knowledge representation and reasoning (extension of material on propositional and first-order logic for artificial intelligence applications, situation calculus, planning, frames and semantic networks); expert systems overview (production systems, certainty factors); reasoning under uncertainty (belief networks compared to other approaches such as fuzzy logic); machine learning (decision trees, neural networks, genetic algorithms).
2 hrs lectures/wk, 1 hr laboratory/wk
The expected weekly workload is 12 hours in total, including:
CSE2309, CSE3309, DGS3691
FIT2004 or CSE2304
Kevin Korb
Contact hours: Monday 3pm - 4pm; Thursday 3pm - 4pm
At the completion of this unit students will have -
A knowledge and understanding of:
Examination (3 hours): 60%; In-semester assessment: 40%
| Assessment Task | Value | Due Date |
|---|---|---|
| Assignment 1 - Lisp exercises | 10% | 19 August 2011 |
| Assignment 2 - Search and/or game playing program | 15% | 9 September 2011 |
| Assignment 3 - Learning and decision-making program | 15% | 21 October 2011 |
| Examination 1 | 60% | To be advised |
Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through SETU, Student Evaluation of Teacher and Unit. The University's student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.
For more information on Monash's educational strategy, and on student evaluations, see:
http://www.monash.edu.au/about/monash-directions/directions.html
http://www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html
If you wish to view how previous students rated this unit, please go to
https://emuapps.monash.edu.au/unitevaluations/index.jsp
Required Texts:
• R. Russell and P. Norvig (2010). Artificial Intelligence: A Modern Approach, 3rd edition. Prentice Hall.
• P. Graham (1996), ANSI Common Lisp. Prentice Hall.
Software:
| Week | Activities | Assessment |
|---|---|---|
| 0 | No formal assessment or activities are undertaken in week 0 | |
| 1 | Introduction | |
| 2 | Lisp | |
| 3 | Search | |
| 4 | Search and Games | Assignment 1 due 19 August 2011 |
| 5 | Lisp II | |
| 6 | Logic | |
| 7 | Defeasible Reasoning | Assignment 2 due 9 September 2011 |
| 8 | Planning | |
| 9 | Bayesian Networks | |
| 10 | Machine Learning | |
| 11 | ANNs and Evolutionary Learning | |
| 12 | Bayesian Learning | Assignment 3 due 21 October 2011 |
| SWOT VAC | No formal assessment is undertaken SWOT VAC | |
| Examination period | LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/ academic/education/assessment/ assessment-in-coursework-policy.html |
*Unit Schedule details will be maintained and communicated to you via your MUSO (Blackboard or Moodle) learning system.
To pass a unit which includes an examination as part of the assessment a student must obtain:
If a student does not achieve 40% or more in the unit examination or the unit non-examination total assessment, and the total mark for the unit is greater than 50% then a mark of no greater than 49-N will be recorded for the unit
Completion of lisp exercises. The specific tasks and marking criteria will be distributed at the appropriate time during the semester.
It is a University requirement (http://www.policy.monash.edu/policy-bank/academic/education/conduct/plagiarism-procedures.html) for students to submit an assignment coversheet for each assessment item. Faculty Assignment coversheets can be found at http://www.infotech.monash.edu.au/resources/student/forms/. Please check with your Lecturer on the submission method for your assignment coversheet (e.g. attach a file to the online assignment submission, hand-in a hard copy, or use an online quiz).
Submission must be made by the due date otherwise penalties will be enforced.
You must negotiate any extensions formally with your campus unit leader via the in-semester special consideration process: http://www.infotech.monash.edu.au/resources/student/equity/special-consideration.html.
Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University's academic standards, and to provide advice on how they might uphold them.
You can find Monash's Education Policies at:
http://policy.monash.edu.au/policy-bank/academic/education/index.html
Key educational policies include:
The University provides many different kinds of support services for you. Contact your tutor if you need advice and see the range of services available at www.monash.edu.au/students The Monash University Library provides a range of services and resources that enable you to save time and be more effective in your learning and research. Go to http://www.lib.monash.edu.au or the library tab in my.monash portal for more information. Students who have a disability or medical condition are welcome to contact the Disability Liaison Unit to discuss academic support services. Disability Liaison Officers (DLOs) visit all Victorian campuses on a regular basis
Reading list
Required Texts:
• R. Russell and P. Norvig (2010). Artificial Intelligence: A Modern Approach, 3rd edition. Prentice Hall.
• P. Graham (1996), ANSI Common Lisp. Prentice Hall.
Recommended Texts:
• A Hodges (1992), Alan Turing: The Enigma. London: Vintage.
• P McCorduck (1979), Machines Who Think. Freeman.
• J Haugland (1985), Artificial Intelligence: The Very Idea. MIT.
• M Boden (Ed.) (1990), The Philosophy of AI. Oxford.