• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Academic career UGRD
  • Course convener
    • Prof Tamas Gedeon
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2014
    See Future Offerings

Bio-inspired Computing is the combination of computational intelligence and collective intelligence. These computational methods are used to solve complex problems, and modeled after design principles encountered in natural / biological systems, and tend to be adaptive, reactive, and distributed. The goal of bio-inspired computing is to produce computational tools with enhanced robustness, scalability, flexibility and which can interface more effectively with humans. 

This course introduces the fundamental topics in bio-inspired computing, and build proficiency in the application of various algorithms in real-world problems. The course will also cover applications focused particularly on highly sophisticated interaction with users.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Ability to select an appropriate bio-inspired computing method for any application / data set; ability to successfully implement / apply that method; good theoretical understanding of the differences between the major bio-inspired computing methods, including advantages and disadvantages of each.

Indicative Assessment

Assignments 20%, Major Project 40%, Final Exam 40%

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

The course will be run as three intensive modules. Each module will consiste of two full days of classes.

Requisite and Incompatibility

To enrol in this course you must have completed 12 units of 3000 level COMP courses

Majors

Specialisations

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee Description
1994-2003 $00 per unit
2014 $2952
2013 $2946
2012 $00 per unit
2011 $00 per unit
2010 $00 per unit
2009 $00 per unit
2008 $00 per unit
2007 $00 per unit
2006 $00 per unit
2005 $00 per unit
2004 $00 per unit
International fee paying students
Year Fee
1994-2003 $00 per unit
2014 $3762
2013 $3756
2012 $00 per unit
2011 $00 per unit
2010 $00 per unit
2009 $00 per unit
2008 $00 per unit
2007 $00 per unit
2006 $00 per unit
2005 $00 per unit
2004 $00 per unit
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4189 17 Feb 2014 07 Mar 2014 31 Mar 2014 30 May 2014 In Person N/A

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