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Old 7th July 2015, 02:34 PM
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Default Pervasive Computing Syllabus Anna University

Hello, I am the student of B.Tech Computer Science & Engineering 7th Semester in Anna University and I missed my syllabus of Mobile and Pervasive Computing subject so will you please provide me? If possible provide me it in a pdf file?
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Old 5th March 2018, 11:12 AM
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Default Re: Pervasive Computing Syllabus Anna University

Hii sir, I Wants to get the Syllabus of the Applied Mathematics For Pervasive Computing of the Course M.E. Mobile and pervasive computing of the Anna University ?
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Old 5th March 2018, 11:14 AM
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Default Re: Pervasive Computing Syllabus Anna University

Anna University is a technical university in Tamil Nadu, India. The main campus is in Guindy, Chennai. Founded on 4 September 1978


The Syllabus of the Applied Mathematics For Pervasive Computing of the Course M.E. Mobile and pervasive computing of the Anna University is given below

Applied Mathematics For Pervasive Computing

UNIT I LINEAR ALGEBRA 9

Introduction to Vector spaces, basic vector analysis methods, Matrix norms Jordan canonical form Generalized eigenvectors Singular value decomposition Pseudo inverse Least square approximations QR algorithm.

UNIT II GRAPH THEORY 9
Introduction to Paths, Trees, Vector spaces, Matrix Coloring and directed graphs; Some basic algorithms Shortest path algorithms Depth-First search on a graph Isomorphism Other Graph - Theoretic algorithms performance of graph theoretic algorithms Graph-theoretic Computer languages


UNIT III OPTIMIZATION TECHNIQUES 9
Linear programming - Basic concepts Graphical and Simplex methods Transportation problem Assignment problem; Dynamic programming - Elements of the dynamic programming model optimality principle Examples of dynamic programming models and their solutions.


UNIT IV PROBABILITY AND RANDOM VARIABLES 9
Probability 1D Random variables Binomial, Poisson, Geometric, Uniform, Normal, Exponential distributions Moment generating functions and their properties Functions Transformation of Random variables, Finite probability - Probability distributions Conditional Probability Independence Bayes theorem; Expectations. Reliability and Markov chain transition probability
matrix.


UNIT V QUEUEING THEORY 9
Single and Multiple servers Markovian Queuing models, finite and Infinite capacity Queues Finite source model Queuing applications.


Syllabus of the Applied Mathematics For Pervasive Computing of the Course M.E. Mobile and pervasive computing of the Anna University






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