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
Consultation hours: Wednesday 1-2 pm
Examination (3 hours): 60%; In-semester assessment: 40%
|Assessment Task||Value||Due Date|
|Assignment 1 - Problem solving: search||15%||27 August 2012|
|Assignment 2 - Knowledge representation and Bayesian networks||10%||10 September 2012|
|Assignment 3 - Machine learning and NLP||15%||15 October 2012|
|Examination 1||60%||To be advised|
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Please check with your lecturer before purchasing any Required Resources. Limited copies of prescribed texts are available for you to borrow in the library, and prescribed software is available in student labs.
Software: Netica, Weka
Limited copies of prescribed texts are available for you to borrow in the library.
R. Russell and P. Norvig. (2010). Artificial Intelligence: A Modern Approach. (3rd) Prentice Hall.
|0||No formal assessment or activities are undertaken in week 0|
|2||Problem solving: search|
|3||Problem solving and Game playing|
|4||Knowledge representation: propositional and first-order logic|
|5||Knowledge representation: propositional and first-order logic|
|6||Planning, Introduction to probability||Assignment 1 due 27 August 2012|
|8||Machine learning||Assignment 2 due 10 September 2012|
|9||Learning probabilistic models|
|11||NLP1: text-based processing|
|12||NLP2: NL for communication||Assignment 3 due 15 October 2012|
|SWOT VAC||No formal assessment is undertaken SWOT VAC|
|Examination period||LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/
*Unit Schedule details will be maintained and communicated to you via your MUSO (Blackboard or Moodle) learning system.
Faculty Policy - Unit Assessment Hurdles (http://www.infotech.monash.edu.au/resources/staff/edgov/policies/assessment-examinations/unit-assessment-hurdles.html)
Academic Integrity - Please see the Demystifying Citing and Referencing tutorial at http://lib.monash.edu/tutorials/citing/
Students must demonstrate knowledge of the A* algorithm and other search algorithms, and ability to implement them correctly.
Knowledge of the requisite material. 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).
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.
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Academic support services may be available for students who have a disability or medical condition. Registration with the Disability Liaison Unit is required. Further information is available as follows:
• 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.