Freund, G. Paun, G.
Rozenberg and A. Czeizler, E. Czeizler, L.
Computing with Cells and Atoms: An Introduction to Quantum, DNA and Membrane ...
Kari and K. Fulop Z. Esik Ed. Kuske and P.
Holzer, M. Kutrib and A. Share This Article:. The paper is not in the journal. Expected Outcome The students after completing the course will get a basic overview of the emerging area of Natural ICT and other natural computing models such as DNA computing, bacterial computing, Membrane computing and Chemical computing.
They will get an insight on how to visualize various natural processes as a part of natural computing and they will learn the engineering aspects of natural computing. It exposes them the natural algorithms for solving various problems using natural objects such as DNA, protein, bacteria etc and they will learn about the various available tools such as Xgrow, Xtile, CadNano, Sarse, Tiamat. They will also learn about the natural error correction schemes.
Mathematical and computational modeling in biology at multiple scales
Projects in the course provide first hand research opportunities in niche and hot area to the students. There are many universities offering Master degree in Natural computing. Text Book There is no specific text book but the following books will be helpful. We will provide many additional material such as videos, handouts etc during the course.
Harju, I. Petre, D. Prescott and G.
IT - Introduction to Natural Computing
Computing with cells: advances in membrane computing, Frisco P. Pelta and Jose L. Michael L. Holcombe Editor , J.
Page actions Page Talk More Tools. Conflicts of Interest The authors declare no conflicts of interest.
Cite this paper K. Ray, K.
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