Course details

Bio-Inspired Computers

BIN Acad. year 2006/2007 Summer semester 5 credits

Current academic year

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, immune and neural hardware, polymorphic electronics and molecular computers. Typical applications will illustrate the mentioned approaches.

Guarantor

Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)

Language of instruction

Czech

Completion

Examination

Time span

  • 26 hrs lectures
  • 8 hrs pc labs
  • 18 hrs projects

Department

Department of Computer Systems (UPSY)

Subject specific learning outcomes and competences

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.

Learning objectives

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.

Prerequisite knowledge and skills

There are no prerequisites

Syllabus of lectures

  1. Introduction: Traditional computer science and engineering, hardware and software, theoretical and practical limitations
  2. Natural computing: inspiration, computational platforms, classification
  3. Reconfigurable devices
  4. Creative evolutionary design
  5. Cartesian genetic programming
  6. Evolvable hardware
  7. Evolvable hardware, applications
  8. Evolution and development, cellular automata, L-systems
  9. Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
  10. Immunological, neural and polymorphic hardware
  11. Nanotechnology and molecular electronics
  12. DNA computing
  13. Recent trends

Syllabus of computer exercises

  1. Evolutionary design of combinational circuits
  2. Evolutionary design of sequential circuits
  3. Cell Matrix
  4. DNA počítání

Progress assessment

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

None

Controlled instruction

Mid-term exam, project

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