Page 6 - R2017 - Final_M.E Medical Electronics Curriculum and Syllabus - REC
P. 6

Department of BME, REC



               MA17171         APPLIED MATHEMATICS FOR ELECTRONICS ENGINEERS                       L T P C

                                                                                                   3  2  0  4
               OBJECTIVES

                   •  To develop the ability to use the concepts of fuzzy logic for solving problems that
                       arrives in the field of engineering and technology.
                   •  To study and understand theory of matrices, to decompose the matrices and to solve
                       system of equations.
                   •  To formulate and construct a mathematical model using linear programming in real
                       life situation;
                   •  To formulate and solve mathematical models that arise in the queueing network.


               UNIT I         FUZZY LOGIC                                                             15
               Classical logic – multivalued logics – fuzzy propositions – fuzzy quantifiers.

               UNIT II        MATRIX THEORY                                                           15
               The Cholesky decomposition - generalized Eigen vectors, canonical basis - QR factorization
               - least squares method - singular value decomposition.

               UNIT III       TESTING OF HYPOTHESES                                                   15
               Sampling distributions - type I and Type II errors – Tests based on Normal, t, chi-square and
               F  distributions  for  testing  of  mean,  variance  and  proportions  –  tests  for  independence  of
               attributes and goodness of fit.

               UNIT IV        LINEAR PROGRAMMING                                                      15
               Formulation – graphical solution – simplex method – two phase method - transportation and
               assignment models

               UNIT V         QUEUEING MODELS                                                         15
               Poisson Process – Markovian queues – single and multi-server models – Little’s formula -
               machine interference model – steady state analysis – self-service queue.

                                                                                    TOTAL: 75 PERIODS
               OUTCOMES:
               On completion of the course students will be able to
                  •   Solve problems that arise in the field of Engineering and technology using fuzzy logic
                      concepts.
                  •   Analyze and solve system of equations using the techniques of matrix decomposition
                      and least square sense.
                  •   Analyze data using Testing of Hypothesis.
                  •   Make decisions using the principles of optimality on the problems of dimensionality.
                  •   Analyze and solve those problems that arise in the field of network theory through
                      Queueing  models.

               REFERENCES:
                   1.  George J. Klir and Yuan, B., Fuzzy sets and fuzzy  logic, Theory and applications,
                       Prentice Hall of India Pvt. Ltd.
                   2.  Richard Bronson, “Matrix Operation”, Schaum’s outline series, 2nd Edition, McGraw
                       Hill, 2011.
                   3.  Richard  Johnson,  Miller  &  Freund’s  Probability  and  Statistics  for  Engineers,  7th
                       Edition, Prentice – Hall of India, Private Ltd., New Delhi (2007).




               Curriculum and Syllabus/ M.E Medical Electronics/ R 2017                            Page 6
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