Quantum Mechanics and Simulation Techniques detail syllabus for Nanoelectronics (Nano), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17NT61), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other nano 6th sem syllabus for be 2017 scheme vtu you can visit Nano 6th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for quantum mechanics and simulation techniques is as follows.
Course Objectives:
- To understand the basic principles of quantum mechanics and simulation methods.
- To learn the application of the simulation techniques in biology and biomedical fields.
Module 1:
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Module 2:
THE BASIC PRINCIPLES OF QUANTUM MECHANICS The fundamental postulates, expectation values and probabilities; quantum mechanical operators, explicit representation of operators, uncertainty principle. Matrix method solution of linear harmonic oscillator. Quantum dynamics: Equations of motion, Schrodinger, Heisenberg and Interaction pictures. Poisson brackets and commutator brackets. 10
Module 3:
QUANTUM COMPUTATIONAL SIMULATION Turing machines, logic gates, and computers – reversible vs. irreversible computation – Landauer’s principle and the Maxwell demon – natural phenomena as computing processes – physical limits of computation – Moore’s law – quantum computation -historical development of quantum computation – quantum bits -quantum logic. 10
(Note: only qualitative approach.
Module 4:
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Module 5:
SIMULATION METHODS AND BIOLOGICAL SYSTEMS Monte Carlo methods – Introduction, Integration, Simulation, Random Walk, Percolation, Ising Model, Markov. Simulations of Biological systems – Proteins: Alpha Helix, Beta Sheet, PDB, heme, Dock, DNA: B, Z, A. 10
Course Outcomes:
Students can able to learn
- Physical basics of quantum mechanics
- Basic principles of quantum mechanics
- Basics of Quantum computational simulation
- Basic principles of surgical simulation and virtual environment for biomedical applications
- Concepts of simulation methods and biological systems
Graduate Attributes (as per NBA):
- Engineering Knowledge.
- Problem Analysis.
- Design / development of solutions (partly).
- Interpretation of data.
Question paper pattern:
- The question paper will have ten questions.
- Each full Question consisting of 20 marks
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Basic Quantum Mechanics by -A. Ghatak (2009) ISBN 0-230-63916-X
- Introductory Quantum Chemistry; A.K. Chandra; Tata McGraw Hill Publishing Company Limited. New Delhi, 1998
- Quantum Mechanics: B. K. Agarwal and Hariprakash (Prentice-Hall, 1997).
- Medical Informatics: Computer applications in health care and biomedicine by E. H. Shortliffe, G. Wiederhold, L. E. Perreault and L. M. Fagan, Springer Verlag. Handbook of Medical Informatics by J. H. Van Bemmel, Stanford University Press
- Handbook of theoretical and computational Nanotechnology eds. Michael Rieth and wolfram schommers, 2006.
- Computational physics, R. C. Verma, K. C. Sharma & P. K. Ahluwalia.
Reference Books:
- Text book of Quantum Mechanics: P. M. Mathews and K. Venkateshan (TMH, 1994).
- Quantum Mechanics: F. Schwabl (Narosa, 1995).
- Quantum Mechanics: V. K. Thankappan (Wiley Eastern, 1980).
- Quantum Physics of Atoms, molecules, solids Nuclei and particles 2nd Ed by Eisberg, Robert, Resnick Robert
- Jerrod H.Zar (1999) Biostatistical analysis by Prentice hall international Inc Press, London
For detail syllabus of all other subjects of BE Nano, 2017 scheme do visit Nano 6th Sem syllabus for 2017 scheme.
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