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Syllabus for

Academic year
MCC020 - Nano/bioscience for information processing
Owner: FNMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: D

Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0106 Examination 5,0 c Grading: TH   0,0 c 5,0 c   Contact examiner,  Contact examiner

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Professor  Göran Wendin


For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.


Microelectronics is presently entering the era of nanoelectronics. The scaling down of microprocessors to "nanoprocessors" will eventually require entirely new computer architectures and computational concepts. One will have to address questions like: how small can programmable logic gates become; can they be made from nanoscale devices other than conventional transistors; can other types of nanoscale structures be used as computer devices, based on old or new principles for computing? Moreover, it becomes natural to try to mix artificial nanostructures with organic molecules and biomolecules, and even artificial and living cells and other biological matter. If these systems can be made selfassembling, then it might be possible to construct evolvable hardware and selfassembling computer devices. To this, one can add computational systems based on chemical and biological reactions and artificial and living neural networks and brains.

The course aims at describing current trends and future expectations concerning systems and "hardware" for information processing: (1) Towards 2015: the present development of Nanoelectronics, Molecular electronics and Bioelectronics, and the consequences for functionality and computational schemes; (2) fundamental physical limitations of computational devices and schemes; (3) development of different computer architectures like reconfigurable computers, reversible and quantum computers, cellular automata, neural networks and brains.

Improvement of existing CMOS technology will eventually be impossible due to either fundamental or economic limits. In order to continue the miniaturization and performance increase of information processing devices, alternative architectures, materials, assembling techniques and models for information processing are currently explored in various research activities.

The purpose is to introduce the students to the major fields of this research, and to allow the student to gain more in-depth knowledge in one particular research field.


The goal is that the student should have a good overview over the major fields, and to be able to understand and use existing models within a particular field


Architectures for nanoscale computers. Classical and quantum information. Ultimate limits of information processing. Nanoelectronics, nanomechanics and quantum devices. Models for transport processes in nanostructures. Molecular electronics. Supramolecular structures for bioelectronics. Self-assembly of supramolecular structures. DNA-assembled molecular networks and templates. Lipid membranes and vesicles. Nanoporous self-assembled structures for microchips. Biological nanotubes and cytoskeleton. Nanoscale reactors and networks. Reaction-diffusion equations with applications. Chemical computing. Electronic and optical biosensors. Nanoelectromechanics (NEMS) in biological applications. Bio-functionalized cantilevers. Enzyme-based biosensors. Living and artificial cells as sensors. Signal transmission in biological nanomachines. Signal transmission in cell membranes. ATP Synthase - a natural biological nanomachine. Bio-energy transduction devices. Mitochondria and chloroplasts - natural nanoreactors. Nanomedicine - nanotechnology for measuring and controlling biological and life processes. Biomedical applications - cochlear, retinal and neural implants. Cell-chip interfaces. Controlling biological neural networks. Towards brain-machine interfaces and robotics. DNA, molecular electronics, and computing. DNA and gene expression networks. Logic with DNA. DNA computing. The living cell as a computer.


The various topics will be covered through regular lectures, guest lectures and exercises, as well as through individual projects with literature studies, computer work and project presentations.


The course will be based on lecture notes, information from WWW, scientific articles and selected parts of texbooks. Information and links can be found at


Individual project with seminar presentation and written report. Written exam on lecture material.

Page manager Published: Mon 28 Nov 2016.