This unit is one unit in the Intelligent Systems specialisation in the MIT courses. The unit has been design to provide you with an understanding of the fundamentals of neural networks and its applications.
Sound basic knowledge of vectors and matrices is required to study in this unit. Specialised mathematical concepts will be introduced.
The approach to teaching and learning include a weekly two-hour lecture and a two-hour (tutorial/laboratory). Additionally, each student should spend a minimum of 8 to 12 hours for personal study every week and should allocate up to 5 hours per week in some weeks for use of a computer, including time for newsgroup and discussion.
For information on timetabling for on-campus classes please refer to MUTTS, http://mutts.monash.edu.au/MUTTS/
On-campus students should register for tutorials/laboratories using the Allocate+ system: http://allocate.its.monash.edu.au/
|2||08/03/10||Artificial Neural Networks: an Overview||Haykin Ch 1, Dreyfus Ch.1 & Bishop Ch.1|
|3||15/03/10||Perceptron for Linear Pattern Classification||Samarasinghe, Ch.2 & Haykin Ch 2|
|4||22/03/10||Neural Networks for Non-linear Pattern Recognition 1||Samarasinghe, Ch.3-4 & Haykin Ch 4|
|5||29/03/10||Neural Networks for Non-linear Pattern Recognition 2||as above|
|Mid semester break|
|6||12/04/10||Data Exploration, Dimensionality Reduction and Feature Extraction||Samarasinghe, Ch.7 & Bishop Ch.10|
|7||19/04/10||Uncertainty Assessment of Neural Network Models||Samarasinghe, Ch.7 & Bishop Ch.10|
|8||26/04/10||Unit Test (in the lecture time slot - tute still on)|
|9||03/05/10||Unsupervised Classification with Self-Organising Maps||Samarasinghe, Ch.8 & Deyfus Ch.7|
|10||10/05/10||Recurrent Networks||Samarasinghe, Ch.9 & Haykin Ch 15|
|11||17/05/10||Radial Basis Function Networks||Bishop Ch.5|
|12||24/05/10||Hopfield Networks||Beale Ch.7 & Haykin Ch.13||Assignment due (at the start of the lecture)|
|13||31/05/10||Revision and Exam Preparation|
*Please note that these dates may only apply to Australian campuses of Monash University. Off-shore students need to check the dates with their unit leader.
This unit is offered for the first time in Semester 1 2010.
You will need access to a Neural Network tool such as:
All the above softwares are available in the 24 hour labs B3.45, B3.46, B3.46b at the Caulfield Campus. Submit an online IT request to gain access to these labs at http://www1.infotech.monash.edu.au/webservices/servicedesk/requestform/
Study resources we will provide for your study are:
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.
Assignment coversheets are available via "Student Forms" on the Faculty website: http://www.infotech.monash.edu.au/resources/student/forms/
You MUST submit a completed coversheet with all assignments, ensuring that the plagiarism declaration section is signed.
Assignment submission and return procedures, and assessment criteria will be specified with each assignment.
Length: 3 hours
Type (open/closed book): Closed book
Please make every effort to submit work by the due dates. It is your responsibility to structure your study program around assignment deadlines, family, work and other commitments. Factors such as normal work pressures, vacations, etc. are not regarded as appropriate reasons for granting extensions. Students are advised to NOT assume that granting of an extension is a matter of course.
Students requesting an extension for any assessment during semester (eg. Assignments, tests or presentations) are required to submit a Special Consideration application form (in-semester exam/assessment task), along with original copies of supporting documentation, directly to their lecturer within two working days before the assessment submission deadline. Lecturers will provide specific outcomes directly to students via email within 2 working days. The lecturer reserves the right to refuse late applications.
A copy of the email or other written communication of an extension must be attached to the assignment submission.
Refer to the Faculty Special consideration webpage or further details and to access application forms: http://www.infotech.monash.edu.au/resources/student/equity/special-consideration.html
Assignments received after the due date and time will be subject to a penalty of 10% per day. Assignments received later than one week after the due date will not normally be accepted.
Students can expect assignments to be returned within two weeks of the submission date or after receipt, whichever is later.
Please visit the following URL: http://www.infotech.monash.edu.au/units/appendix.html for further information about: