Bihar Engineering University, Bihar, Electrical Engineering Semester 5, Probability Theory and Stochastic Processes (PE1) Syllabus

Probability Theory and Stochastic Processes (PE1) Lecture notes | Videos | Free pdf Download | Previous years solved question papers | MCQs | Question Banks| Syllabus
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Unit - 1 Sets and set operations

Unit 1

SETS

1.1 Set and Set Operations

1.2 Probability Space

1.3 Conditional Probability and Bayes Theorem

1.4 Combinational Probability and Sampling methods

Unit - 2 Discrete random variables

Unit 2

DSV

2.1 Discrete Random variables

2.2 Probability mass function

2.3 Probability Distribution Function

2.4 Examples of random variables and distributions

2.5 Continuous Random Variables

2.6 Probability density function

2.7 Examples on Distributions

Unit - 3 Joint distributions

Unit 3

Joint

3.1 Joint Distributions

3.2 Function of one or two variables

3.3Moments of random variable

3.4 Conditional Distribution

3.5 Densities and Moments

3.6 Characteristic functions of random variable

3.7 Markov

3.8 Chebyshev and Chernoff Bounds

Unit - 4 Random sequences

Unit 4

Random sequences

4.1 Random Sequences and Models of Convergence

4.2 Limit Theorem

Unit - 5 Random process

Unit 5

Random Process

5.1 Random Process

5.2 Stationary Process

5.3 Mean and Covariance Functions

5.4 Ergodicity

5.5 Transmission of random process through LTI

5.6 Power Spectral Density

5.7 Markov chain and Markov Process

Download EE Sem 5 syllabus pdf
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Other Subjects of Semester-1
Control systems
Microprocessors
Power systems-i
Power electronics
Linear control system
Digital signal processing (pe1)
Computer networks and security (pe1)
Microprocessors and microcontrollers (pe1)
Linear integrated circuits and applications (pe1)
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