Media Storage Type : DVD-ROM
NPTEL Course Name : Probability and Random Processes
NPTEL Subject Matter Expert : Prof. Prabin K Bora
NPTEL Co-ordinating Institute : IIT Guwahati
NPTEL Lecture Count : 49
Lecture Titles:
Lecture 1 - Introduction to Probability
Lecture 2 - Basic Concepts of Set Theory
Lecture 3 - Probability Concepts
Lecture 4 - Probability Using Counting Method
Lecture 5 - Conditional probability
Lecture 6 - Repeated Trials
Lecture 7 - Random Variables
Lecture 8 - Discrete, (Continued...)
Lecture 9 - Conditional Distribution
Lecture 10 - Functions of Random Variables
Lecture 11 - Expected Value of a RV
Lecture 12 - Characteristic functions of RV
Lecture 13 - Important Discrete RV
Lecture 14 - Geometric RV
Lecture 15 - Uniform RV
Lecture 16 - Exponential RV
Lecture 17 - Simulation of RV
Lecture 18 - Jointly Distributed RV
Lecture 19 - Conditional Distributions
Lecture 20 - Transformation of Two Random RV
Lecture 21 - Joint PDF functions of two RV
Lecture 22 - Expected Values of Functions of RV
Lecture 23 - Jointly Gaussian RV
Lecture 24 - Conditional Expectation
Lecture 25 - Random Variables
Lecture 26 - Vector space Interpretation of RV
Lecture 27 - Convergence
Lecture 28 - Central Limit Theorem
Lecture 29 - Random Processes
Lecture 30 - Important Classes of RP
Lecture 31 - Poisson Processes
Lecture 32 - Stationary Random Process
Lecture 33 - Real WSS Random Process
Lecture 34 - Continuity and Differentiation of RP
Lecture 35 - Time averages and Ergodicity
Lecture 36 - Wide-sense Stationary RP
Lecture 37 - Cross Power Spectral Density
Lecture 38 - White noise process
Lecture 39 - Linear time-invariant systems
Lecture 40 - Discrete-time Linear Shift Invariant System
Lecture 41 - Linear Systems
Lecture 42 - Bandpass Random Processes
Lecture 43 - Problem Set-Basic Concepts of Set Theory
Lecture 44 - Problem Set-Probability Concepts
Lecture 45 - Problem Set-Probability Using Counting Method
Lecture 46 - Exercise-Introductio to Probability
Lecture 47 - Exercise-Random Variables
Lecture 48 - Exercise-Sequence of RV and Convergence
Lecture 49 - Exercise-Random Process