Probability and Random Processes detail syllabus for Computer & Communication Engineering (C&C), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (MA8451), Category (BS), Contact Periods/week (4), Teaching hours/week (4), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other c&c 4th sem syllabus for be 2017 regulation anna univ you can visit C&C 4th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for probability and random processes is as follows.”
Course Objective:
- To provide necessary basic concepts in probability and random processes for applications such as random signals, linear systems in communication engineering.
- To understand the basic concepts of probability, one and two dimensional random variables and to introduce some standard distributions applicable to engineering which can describe real life phenomenon.
- To understand the basic concepts of random processes which are widely used in IT fields.
- To understand the concept of correlation and spectral densities.
- To understand the significance of linear systems with random inputs
Unit I
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Unit II
Two – Dimensional Random Variables
Joint distributions – Marginal and conditional distributions – Covariance – Correlation and linear regression – Transformation of random variables – Central limit theorem (for independent and identically distributed random variables).
Unit III
Random Processes
Classification – Stationary process – Markov process – Markov chain – Poisson process – Random telegraph process.
Unit IV
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Unit V
Linear Systems With Random Inputs
Linear time invariant system – System transfer function – Linear systems with random inputs -Auto correlation and cross correlation functions of input and output.
Course Outcome:
Upon successful completion of the course, students should be able to:
- Understand the fundamental knowledge of the concepts of probability and have knowledge of standard distributions which can describe real life phenomenon.
- Understand the basic concepts of one and two dimensional random variables and apply in engineering applications.
- Apply the concept random processes in engineering disciplines.
- Understand and apply the concept of correlation and spectral densities.
- The students will have an exposure of various distribution functions and help in acquiring skills in handling situations involving more than one variable.
- Able to analyze the response of random inputs to linear time invariant systems.
Text Books:
- Ibe, O.C.,” Fundamentals of Applied Probability and Random Processes “, 1st Indian Reprint, Elsevier, 2007.
- Peebles, P.Z., “Probability, Random Variables and Random Signal Principles “, Tata McGraw Hill, 4th Edition, New Delhi, 2002.
References:
- Cooper. G.R., McGillem. C.D., “Probabilistic Methods of Signal and System Analysis”, Oxford University Press, New Delhi, 3rd Indian Edition, 2012.
- Hwei Hsu, “Schaums Outline of Theory and Problems of Probability, Random Variables and Random Processes “, Tata McGraw Hill Edition, New Delhi, 2004.
- Miller. S.L. and Childers. D.G., Probability and Random Processes with Applications to Signal Processing and Communications “, Academic Press, 2004.
- Stark. H. and Woods. J.W., Probability and Random Processes with Applications to Signal Processing “, Pearson Education, Asia, 3rd Edition, 2002.
- Yates. R.D. and Goodman. D.J., Probability and Stochastic Processes”, Wiley India Pvt. Ltd., Bangalore, 2nd Edition, 2012.
For detail syllabus of all other subjects of BE C&C, 2017 regulation do visit C&C 4th Sem syllabus for 2017 Regulation.
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