MA6453 PQT Syllabus, PROBABILITY AND QUEUEING THEORY Syllabus – CSE 4th SEM Anna University

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MA6453  PQT Syllabus

Anna University Regulation 2013 Computer Science Engineering (CSE) MA6453  PQT Important Questions for all 5 units are provided below. Download link for CSE 4th SEM MA6453  PROBABILITY AND QUEUEING THEORY Answer Key is listed down for students to make perfect utilization and score maximum marks with our study materials.

Anna University Regulation 2013 Computer Science Engineering (CSE)

4th SEM MA6453  PQT-PROBABILITY AND QUEUEING THEORY Syllabus

MA6453      PROBABILITY AND QUEUEING THEORY     L T P C 3 0 0 3

OBJECTIVE:
To provide the required mathematical support in real life problems and develop probabilistic models which can be used in several areas of science and engineering.
UNIT I RANDOM VARIABLES 9+3
Discrete and continuous random variables – Moments – Moment generating functions – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma and Normal distributions.
UNIT II TWO – DIMENSIONAL RANDOM VARIABLES 9+3
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and Linear regression – Transformation of random variables.
UNIT III RANDOM PROCESSES 9+3
Classification – Stationary process – Markov process – Poisson process – Discrete parameter Markov chain – Chapman Kolmogorov equations – Limiting distributions.
UNIT IV QUEUEING MODELS 9+3
Markovian queues – Birth and Death processes – Single and multiple server queueing models – Little‟s formula – Queues with finite waiting rooms – Queues with impatient customers: Balking and reneging.
UNIT V ADVANCED QUEUEING MODELS 9+3
Finite source models – M/G/1 queue – Pollaczek Khinchin formula – M/D/1 and M/EK/1 as special cases – Series queues – Open Jackson networks.
TOTAL (L:45+T:15): 60 PERIODS
OUTCOMES:

  •   The students will have a fundamental knowledge of the probability concepts.
  •   Acquire skills in analyzing queueing models.
  •   It also helps to understand and characterize phenomenon which evolve with respect to time ina probabilistic manner.

TEXT BOOKS:

  1. Ibe. O.C., “Fundamentals of Applied Probability and Random Processes”, Elsevier, 1st Indian Reprint, 2007.
  2. Gross. D. and Harris. C.M., “Fundamentals of Queueing Theory”, Wiley Student edition, 2004.

REFERENCES:

  1. Robertazzi, “Computer Networks and Systems: Queueing Theory and performance evaluation”, Springer, 3rd Edition, 2006.
  2. Taha. H.A., “Operations Research”, Pearson Education, Asia, 8th Edition, 2007.
  3. Trivedi.K.S., “Probability and Statistics with Reliability, Queueing and Computer ScienceApplications”, John Wiley and Sons, 2nd Edition, 2002. 42
  1. Hwei Hsu, “Schaum‟s Outline of Theory and Problems of Probability, Random Variables and Random Processes”, Tata McGraw Hill Edition, New Delhi, 2004.
  2. Yates. R.D. and Goodman. D. J., “Probability and Stochastic Processes”, Wiley India Pvt. Ltd., Bangalore, 2nd Edition, 2012.


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