Course detail

Bio-Inspired Computers

FIT-BINAcad. year: 2010/2011

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

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Lukáš Sekanina, Ph.D.

Department

Department of Computer Systems (UPSY)

Learning outcomes of the course unit

Students will be able to utilize evolutionary algorithms to design electronic circuits. They will be able to model, simulate and implement non-conventional, in particular bio-inspired, computational systems.

Understanding the relation between computers (computing) and some natural processes.

Prerequisites

There are no prerequisites

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

None

Course curriculum

  1. Introduction, inspiration in biology, natural computing
  2. Limits of abstract and physical computing
  3. Reconfigurable computing devices
  4. Creative evolutionary design
  5. Cartesian genetic programming
  6. Evolutionary design of digital circuits
  7. Evolutionary circuit design, extreme environments
  8. Evolvable hardware, applications
  9. Evolution and development
  10. Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
  11. DNA computing
  12. Nanotechnology and molecular electronics
  13. Recent trends

Work placements

Not applicable.

Aims

To understand the principles of bio-inspired computational systems. To be able to use the bio-inspired techniques in the phase of design, implementation and runtime of a computational device.

Specification of controlled education, way of implementation and compensation for absences

Mid-term exam, project, computer labs assignments

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MGM , any year of study, summer semester, elective
    branch MSK , any year of study, summer semester, elective
    branch MPS , any year of study, summer semester, elective
    branch MIS , any year of study, summer semester, elective
    branch MBS , any year of study, summer semester, elective
    branch MIN , any year of study, summer semester, compulsory-optional
    branch MMI , any year of study, summer semester, elective
    branch MMM , any year of study, summer semester, compulsory-optional
    branch MBI , 1. year of study, summer semester, compulsory
    branch MPV , 1. year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Ing. Lukáš Sekanina, Ph.D.

Syllabus

  1. Introduction, inspiration in biology, natural computing
  2. Limits of abstract and physical computing
  3. Reconfigurable computing devices
  4. Creative evolutionary design
  5. Cartesian genetic programming
  6. Evolutionary design of digital circuits
  7. Evolutionary circuit design, extreme environments
  8. Evolvable hardware, applications
  9. Evolution and development
  10. Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
  11. DNA computing
  12. Nanotechnology and molecular electronics
  13. Recent trends

Exercise in computer lab

8 hours, optionally

Teacher / Lecturer

prof. Ing. Lukáš Sekanina, Ph.D.

Syllabus

  1. Evolutionary design of combinational circuits
  2. Virtual reconfigurable circuits
  3. Celulární automaty
  4. Cell Matrix

 

Project

18 hours, optionally

Teacher / Lecturer

prof. Ing. Lukáš Sekanina, Ph.D.