COMP8420 Bio-inspired Computing: Applications and Interfaces
| Offered By | School of Computer Science |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Computer Science |
| Offered in | Second Semester, 2010 and First Semester, 2011 |
| Unit Value | 6 units |
| Course Description |
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 |
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% |
| Course Classification(s) | AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. |
| Areas of Interest | Computer Science and Information Technology |
| Requisite Statement | Enrolment in the Master of Computing |
| Preliminary Reading | None |
The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.
