UIN3068 Nature Inspired Computing

Faculty of Philosophy and Science in Opava
Summer 2020
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Sosík, Dr. (lecturer)
Guaranteed by
doc. Ing. Petr Sosík, Dr.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
each even Monday 13:05–16:20 PED2
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The listener is provided with knowledge about the most recent trends in research and construction of computers and automata based on non-electric principles. Their common feature is the possibility of massive paralelization while keeping slight dimension of computing elements. These features promise eventually to solve computationally intractable problems. The topics of DNA computing and quantum computing are stressed. 1. Abstract computing classes, Turing Machine with oracle and advice, the problem P versus NP, possible strategies of solution of computationally intractable problems. 2. Why do we need new computing media? Problems of the recent technologies concepts of computing. 3. Quantum computing, bits and qubits, reversibility of computing. Quantum gates and networks, quantum algorithms, quantum parallelism. 4. Deutsch problem XOR, Shore factorization algorithm. The problem of decoherency. The performance of quantum algorithms. 5. DNA computing, elementary properties of DNA. The PCR reaction, denaturation and hybridization, cutting and pasting, separation of molecules with the use of gel electrophoresis. 6. Computing based on recombination and on cutting/pasting. Two- and three-dimensional DNA structures. Possible applications in medicine and nanotechnologies. 7. Further biologically and chemically inspired computing models. Abstract chemical machine, membrane computing. 8. Evolutionary computing, interactive finite automata and interactive Turing machine. Evolutionary lineages of cognitive automata and their performance.
Syllabus
  • 1. Abstract computing classes, Turing Machine with oracle and advice, the problem P versus NP, possible strategies of solution of computationally intractable problems.
    2. Why do we need new computing media? Problems of the recent technologies concepts of computing.
    3. Quantum computing, bits and qubits, reversibility of computing. Quantum gates and networks, quantum algorithms, quantum parallelism.
    4. Deutsch problem XOR, Shore factorization algorithm. The problem of decoherency. The performance of quantum algorithms.
    5. DNA computing, elementary properties of DNA. The PCR reaction, denaturation and hybridization, cutting and pasting, separation of molecules with the use of gel electrophoresis.
    6. Computing based on recombination and on cutting/pasting. Two- and three-dimensional DNA structures. Possible applications in medicine and nanotechnologies.
    7. Further biologically and chemically inspired computing models. Abstract chemical machine, membrane computing.
    8. Evolutionary computing, interactive finite automata and interactive Turing machine. Evolutionary lineages of cognitive automata and their performance.
Literature
    recommended literature
  • AMOS, M. Theoretical and Experimental DNA Computation. Springer-Verlag, Berlin, 2005. info
  • Păun, G. Membrane Computing. Springer-Verlag, Berlin, 2002. info
  • GRUSKA, J. Quantum Computing. McGraw-Hill, New York, 1999. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
Participation in at least 70% of the classes, preparation of a final project and its approval by the teacher.
The course is also listed under the following terms Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2021, Summer 2022, Summer 2023, Summer 2024.
  • Enrolment Statistics (Summer 2020, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2020/UIN3068