This unit looks at the development and application of biologically inspired models of computation. We study: basic components of a natural neural systems: synapses, dendrites and neurons and their computational models; fundamental concepts of data and signal encoding and processing; neural network architectures: pattern association networks, auto associative networks, feedforward networks, competitive networks, self organizing networks and recurrent networks; plasticity and learning. Hebb rule, supervised learning, reinforced learning, error-correcting learning, unsupervised learning, competitive learning, self-organization.
2 hrs lectures/wk, 2 hrs laboratories/wk
Two-hour lecture and two-hour tutorial (or laboratory) (requiring advance preparation) a minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations. You will need to allocate up to 5 hours per week in some weeks, for use of a computer, including time for newsgroups/discussion groups.
CSE5301
Grace Rumantir, Consultation hours: Monday 2-4pm
Minh Viet Le, Consultation hours: Tuesday 9-10am
Examination (3 hours): 60%; In-semester assessment: 40%
| Assessment Task | Value | Due Date |
|---|---|---|
| Unit Test | 20% | Unit Test during Week 7 lecture (Monday 16 April 2012) |
| Applications of Neural Network Algorithms | 20% | Assignment Stage 1 during Week 9 tutorial, Assignment Stage 2 due start of Week 11 lecture (Monday 14 May 2012) |
| 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
This unit is offered for the first time in Semester 1 2010.
If you wish to view how previous students rated this unit, please go to
https://emuapps.monash.edu.au/unitevaluations/index.jsp
Please check with your lecturer before purchasing any Required Resources. Prescribed texts are available for you to borrow in the library, and prescribed software is available in student labs.
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/
Scientific Calculator
| Week | Activities | Assessment |
|---|---|---|
| 0 | ||
| 1 | Introduction | There is a self-assessed test (not marked) on basic maths and statistics on Moodle that will be discussed in Week 1 tute. Please complete this to see if you need to do further study prior to completing this unit. |
| 2 | Artificial Neural Networks: an Overview | |
| 3 | Perceptron for Linear Pattern Classification | |
| 4 | Neural Networks for Non-linear Pattern Recognition 1 | |
| 5 | Neural Networks for Non-linear Pattern Recognition 2 | |
| 6 | Generalisation and Improving Neural Networks Performance | |
| 7 | Unit Test (in the lecture time slot - tute still on) | Unit Test during Week 7 lecture |
| 8 | Unsupervised Classification with Self Organising Maps | |
| 9 | Associative Memory Networks | Assignment Stage 1 during Week 9 tutorial |
| 10 | Neural Networks for Time series Forecasting | |
| 11 | Recurrent Networks for Time series Forecasting | Assignment Stage 2 due start of Week 11 lecture |
| 12 | Revision | |
| 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.
Faculty Policy - Unit Assessment Hurdles (http://www.infotech.monash.edu.au/resources/staff/edgov/policies/assessment-examinations/unit-assessment-hurdles.html)
Correct answers to questions and quality of solutions to problems which demonstrate understanding of the learning materials. Further detail of the format and coverage of the unit test will be made available on Moodle.
The assignment will be in paired groups.
Stage 1: Group formation and understanding the assessment tasks (non assessable).
Stage 2: Submission (20%).
Students will be assessed on:
The tutor will monitor individual contributions when allocating marks to members of the group.
Further assessment criteria and marking sheet will be made available on the unit Moodle site.
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. For Sunway see http://www.monash.edu.my/Student-services, and for South Africa see http://www.monash.ac.za/current/
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. At Sunway, visit the Library and Learning Commons at http://www.lib.monash.edu.my/. At South Africa visit http://www.lib.monash.ac.za/.
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:
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