COMP4660 Bio-inspired Computing: Applications and Interfaces
Later Year Course
| Offered By | Research School of Computer Science |
|---|---|
| Academic Career | Undergraduate |
| Course Subject | Computer Science |
| Offered in | First Semester, 2012 and First Semester, 2013 |
| 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% |
| Workload |
The course will be run as three intensive modules. Each module will consiste of two full days of classes. |
| Requisite Statement |
12 units of 3000-level COMP courses. Note: students with a suitable background, e.g. in mathematics, biology or psychology may request permission to enrol from the course convenor. |
| Recommended Courses |
n/a |
| Science Group | C |
| Academic Contact | tom.gedeon@anu.edu.au |
The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.
