Course detail
Bio-Inspired Computers
FIT-BINAcad. year: 2014/2015
This course introduces computational models and computers which have appeared at the intersection of hardware and artificial intelligence in the recent years as an attempt to solve traditionally hard computational problems. The course surveys relevant theoretical models, reconfigurable architectures and computational intelligence techniques inspired at the levels of phylogeny, ontogeny and epigenesis. In particular, the following topics will be discussed: evolutionary design, evolvable hardware, cellular systems, embryonic hardware, molecular computers and nanotechnology. Typical applications will illustrate the mentioned approaches.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Understanding the relation between computers (computing) and some natural processes.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
None
Course curriculum
- Syllabus of lectures:
- Introduction, inspiration in biology, natural computing
- Limits of abstract and physical computing
- Reconfigurable computing devices
- Evolutionary design
- Cartesian genetic programming
- Evolutionary design of digital circuits
- Evolutionary circuit design, extreme environments
- Evolvable hardware, applications
- Evolution and development
- Embryonic electronics, cellular computational platforms, Cell Matrix
- DNA computing
- Nanotechnology and molecular electronics
- Recent trends
- Evolutionary design of combinational circuits
- Virtual reconfigurable circuits
- Celulární automaty
- Cell Matrix
Syllabus of computer exercises:
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MBI , 1 year of study, summer semester, compulsory
branch MBS , 0 year of study, summer semester, elective
branch MIN , 0 year of study, summer semester, compulsory-optional
branch MIS , 0 year of study, summer semester, elective
branch MMI , 0 year of study, summer semester, elective
branch MMM , 0 year of study, summer semester, compulsory-optional
branch MPV , 1 year of study, summer semester, compulsory-optional
branch MSK , 0 year of study, summer semester, elective
branch MGM , 0 year of study, summer semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction, inspiration in biology, natural computing
- Limits of abstract and physical computing
- Reconfigurable computing devices
- Evolutionary design
- Cartesian genetic programming
- Evolutionary design of digital circuits
- Evolutionary circuit design, extreme environments
- Evolvable hardware, applications
- Evolution and development
- Embryonic electronics, cellular computational platforms, Cell Matrix
- DNA computing
- Nanotechnology and molecular electronics
- Recent trends
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Evolutionary design of combinational circuits
- Virtual reconfigurable circuits
- Celulární automaty
- Cell Matrix