Periods/week : 3 Periods & 1 Tut /week.                                                                  Ses. : 30 Exam : 70 Examination (Practical): 3hrs.                                                                                   Credits: 4

1.STOCHASTIC PROCESSES:- Notion of Stochastic Process, Classification of Stochastic Process according to Time  and State Space; Discrete time Morkovchains, n th step transition probabilities, stationery  distribution of Morkovchains, Poisson process, Properties of Poisson; Birth and Death Process, Time dependent Birth and Death process, Renewal theory, Applications of elementary renewal theorem and key renewal theorem.

2. Stationary and Non Stationary processes:- AR Process; NA Process ; ARMA Process, ARIMA Process, Box and Jinkins Models, Correlogram analysis, Periodogram analysis, Spectrum of a Process.

3.QUEUEING THEORY:- Non Morkovchian queues, Phase type Technique, Embedded Markovchains Technique, GI/G/I Queues model, Polzak.  Kintchins formula, queues with bulk arrivals queues with bulk  services.

4. PRIORITY QUEUING MODELS:- Queues in Series, Queues in Parallel, Scheduling algorithms, Throughput analysis and waiting time distributions, Applications of Queuing theory in Communication Networks.

5.RELIABILITY ANALYSIS:- Concepts of Reliability, Failure Time distributions, Hazard rate functions, Reliability of a component, Bath- tub curve, System reliability, Series systems, parallel systems, Stand by redundancy,  Availability , Maintainability, Fault tree constructions, Fault analysis.

REFERRENCES:

1.  Probability, Statistics and Random Processes – By T.Veerarajan Tata McGraw –
Hill

2.   Probability  and  Statistics  with  Reliability  ,  Queueing  &  Computer  Science
Applications – By Kishore S. Trivedi (Prentice Hall)

tejus mahiCSE 4.1 SyllabusCSE,CSE Syllabus,IT,IT Syllabus,Random Processes In Engineering Syllabus
Periods/week : 3 Periods & 1 Tut /week.                                                                  Ses. : 30 Exam : 70 Examination (Practical): 3hrs.                                                                                   Credits: 4 1.STOCHASTIC PROCESSES:- Notion of Stochastic Process, Classification of Stochastic Process according to Time  and State Space; Discrete...