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.
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.
3 x Assignments 20% each, Final Exam 40%
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Thirty hours of lectures and six two-hour tutorial/laboratory sessions
Requisite and Incompatibility
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- Student Contribution Band:
- Unit value:
- 6 units
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4545||15 Feb 2016||26 Feb 2016||31 Mar 2016||27 May 2016||In Person||N/A|