Module NameDownload


Sl.No Chapter Name MP4 Download
1Lecture 1: Sample Space and eventsDownload
2Lecture 2: Axioms of ProbabilityDownload
3Lecture 3: Independence of events and Conditional ProbabilityDownload
4Lecture 4: Baye’s Theorem and Introduction to Random VariablesDownload
5Lecture 5: CDF and it’s propertiesDownload
6Lecture 6: Continuity of ProbabilityDownload
7Lecture 7: Discrete and Continuous random variablesDownload
8Lecture 8: Expectation of random variables and its propertiesDownload
9Lecture 9: Variance and some inequalities of random variablesDownload
10Lecture 10: Discrete Probability DistributionsDownload
11Lecture 11: Continuous Probability DistributionsDownload
12Lecture 12: Jointly distributed random variables and conditional distributionsDownload
13Lecture 13: Correlation and CovarianceDownload
14Lecture 14: Transformation of random vectorsDownload
15Lecture 15: Gaussian random vector and joint Gaussian distributionDownload
16Lecture 16: Random ProcessesDownload
17Lecture 17: Properties of random ProcessDownload
18Lecture 18: Poisson ProcessDownload
19Lecture 19: Properties of Poisson Process (Part 1)Download
20Lecture 20: Properties of Poisson Process (Part 2)Download

Sl.No Chapter Name English
1Lecture 1: Sample Space and eventsDownload
To be verified
2Lecture 2: Axioms of ProbabilityDownload
To be verified
3Lecture 3: Independence of events and Conditional ProbabilityDownload
To be verified
4Lecture 4: Baye’s Theorem and Introduction to Random VariablesDownload
To be verified
5Lecture 5: CDF and it’s propertiesDownload
To be verified
6Lecture 6: Continuity of ProbabilityDownload
To be verified
7Lecture 7: Discrete and Continuous random variablesDownload
To be verified
8Lecture 8: Expectation of random variables and its propertiesDownload
To be verified
9Lecture 9: Variance and some inequalities of random variablesPDF unavailable
10Lecture 10: Discrete Probability DistributionsPDF unavailable
11Lecture 11: Continuous Probability DistributionsPDF unavailable
12Lecture 12: Jointly distributed random variables and conditional distributionsPDF unavailable
13Lecture 13: Correlation and CovariancePDF unavailable
14Lecture 14: Transformation of random vectorsPDF unavailable
15Lecture 15: Gaussian random vector and joint Gaussian distributionPDF unavailable
16Lecture 16: Random ProcessesPDF unavailable
17Lecture 17: Properties of random ProcessPDF unavailable
18Lecture 18: Poisson ProcessPDF unavailable
19Lecture 19: Properties of Poisson Process (Part 1)PDF unavailable
20Lecture 20: Properties of Poisson Process (Part 2)PDF unavailable


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