Modules / Lectures


Sl.No Chapter Name MP4 Download
1Lec 1: IntroductionDownload
2Lec 2: Algebra of EventsDownload
3Lec 3: Axioms of ProbabilityDownload
4Lec 4: Example 1Download
5Lec 5: Example 2Download
6Lec 6: Example 3Download
7Lec 7: Example 4Download
8Lec 8: Example 5Download
9Lec 9: Conditional ProbabilityDownload
10Lec 10: Bayes Theorem 1Download
11Lec 11: Bayes Theorem 2Download
12Lec 12: A Brief ReviewDownload
13Lec 13: Example 1Download
14Lec 14: Example 2Download
15Lec 15: Example 3Download
16Lec 16: Example 4Download
17Lec 17: Example 5Download
18Lec 18: Independent EventsDownload
19Lec 19: A Brief ReviewDownload
20Lec 20: Example 1Download
21Lec 21: Example 2Download
22Lec 22: Example 3Download
23Lec 23: Example 4Download
24Lec 24: Discrete Random VariablesDownload
25Lec 25: ExpectationDownload
26Lec 26: MomentsDownload
27Lec 27: VarianceDownload
28Lec 28: Binomial Random VariablesDownload
29Lec 29: Poisson Random VariablesDownload
30Lec 30: More on Poission Random VariablesDownload
31Lec 31: Properties of the CDFDownload
32Lec 32: A Brief Review IDownload
33Lec 33: A Brief Review IIDownload
34Lec 34: Example 1Download
35Lec 35: Example 2Download
36Lec 36: Example 3Download
37Lec 37: Example 4Download
38Lec 38: Example 5Download
39Lec 39: Example 6Download
40Lec 40: Example 7Download
41Lec 41: Example 8Download
42Lec 42: Example 9Download
43Lec 43: Continuous Random VariablesDownload
44Lec 44: Expectation of Continuous random variablesDownload
45Lec 45: The uniform and the Gaussian Random variablesDownload
46Lec 46: The mean and variance of a Gaussian Random VariableDownload
47Lec 47: The exponential random variable and other continuous distributionsDownload
48Lec 48: A Brief ReviewDownload
49Lec 49: Example 1Download
50Lec 50: Example 2Download
51Lec 51: Example 3Download
52Lec 52: Example 4Download
53Lec 53: Example 5Download
54Lec 54: Functions of a random varibleDownload
55Lec 55: Functions of a random varibleDownload
56Lec 56: The moment generating functionDownload
57Lec 57: Conditional DistributionsDownload
58Lec 58: Bivariate DistributionsDownload
59Lec 59: Independence of Random VariblesDownload
60Lec 60: Jointly Gaussian Random Varibales and Circular symmetryDownload
61Lec 61: Jointly Discrete Random VariablesDownload
62Lec 62: One Function of two random variablesDownload
63Lec 63: Order StatisticsDownload
64Lec 64: Two functions of two random variablesDownload
65Lec 65: Joint MomentsDownload
66Lec 66: Joint Charactristic FunctionsDownload
67Lec 67: Conditional Distributions for multiple random variablesDownload
68Lec 68: Conditional ExpectationsDownload
69Lec 69: ExamplesDownload
70Lec 70: Random VectorsDownload
71Lec 71: Independence of Random VariblesDownload
72Lec 72: Complex Random VaribalesDownload
73Lec 73: Covariance MatricesDownload
74Lec 74: Conditional DensitiesDownload
75Lec 75: GaussianityDownload
76Lec 76: Chi Squared DensitiesDownload
77Lec 77: ExamplesDownload
78Lec 78: Estimation TheoryDownload

Sl.No Chapter Name English
1Lec 1: IntroductionPDF unavailable
2Lec 2: Algebra of EventsPDF unavailable
3Lec 3: Axioms of ProbabilityPDF unavailable
4Lec 4: Example 1PDF unavailable
5Lec 5: Example 2PDF unavailable
6Lec 6: Example 3PDF unavailable
7Lec 7: Example 4PDF unavailable
8Lec 8: Example 5PDF unavailable
9Lec 9: Conditional ProbabilityPDF unavailable
10Lec 10: Bayes Theorem 1PDF unavailable
11Lec 11: Bayes Theorem 2PDF unavailable
12Lec 12: A Brief ReviewPDF unavailable
13Lec 13: Example 1PDF unavailable
14Lec 14: Example 2PDF unavailable
15Lec 15: Example 3PDF unavailable
16Lec 16: Example 4PDF unavailable
17Lec 17: Example 5PDF unavailable
18Lec 18: Independent EventsPDF unavailable
19Lec 19: A Brief ReviewPDF unavailable
20Lec 20: Example 1PDF unavailable
21Lec 21: Example 2PDF unavailable
22Lec 22: Example 3PDF unavailable
23Lec 23: Example 4PDF unavailable
24Lec 24: Discrete Random VariablesPDF unavailable
25Lec 25: ExpectationPDF unavailable
26Lec 26: MomentsPDF unavailable
27Lec 27: VariancePDF unavailable
28Lec 28: Binomial Random VariablesPDF unavailable
29Lec 29: Poisson Random VariablesPDF unavailable
30Lec 30: More on Poission Random VariablesPDF unavailable
31Lec 31: Properties of the CDFPDF unavailable
32Lec 32: A Brief Review IPDF unavailable
33Lec 33: A Brief Review IIPDF unavailable
34Lec 34: Example 1PDF unavailable
35Lec 35: Example 2PDF unavailable
36Lec 36: Example 3PDF unavailable
37Lec 37: Example 4PDF unavailable
38Lec 38: Example 5PDF unavailable
39Lec 39: Example 6PDF unavailable
40Lec 40: Example 7PDF unavailable
41Lec 41: Example 8PDF unavailable
42Lec 42: Example 9PDF unavailable
43Lec 43: Continuous Random VariablesPDF unavailable
44Lec 44: Expectation of Continuous random variablesPDF unavailable
45Lec 45: The uniform and the Gaussian Random variablesPDF unavailable
46Lec 46: The mean and variance of a Gaussian Random VariablePDF unavailable
47Lec 47: The exponential random variable and other continuous distributionsPDF unavailable
48Lec 48: A Brief ReviewPDF unavailable
49Lec 49: Example 1PDF unavailable
50Lec 50: Example 2PDF unavailable
51Lec 51: Example 3PDF unavailable
52Lec 52: Example 4PDF unavailable
53Lec 53: Example 5PDF unavailable
54Lec 54: Functions of a random variblePDF unavailable
55Lec 55: Functions of a random variblePDF unavailable
56Lec 56: The moment generating functionPDF unavailable
57Lec 57: Conditional DistributionsPDF unavailable
58Lec 58: Bivariate DistributionsPDF unavailable
59Lec 59: Independence of Random VariblesPDF unavailable
60Lec 60: Jointly Gaussian Random Varibales and Circular symmetryPDF unavailable
61Lec 61: Jointly Discrete Random VariablesPDF unavailable
62Lec 62: One Function of two random variablesPDF unavailable
63Lec 63: Order StatisticsPDF unavailable
64Lec 64: Two functions of two random variablesPDF unavailable
65Lec 65: Joint MomentsPDF unavailable
66Lec 66: Joint Charactristic FunctionsPDF unavailable
67Lec 67: Conditional Distributions for multiple random variablesPDF unavailable
68Lec 68: Conditional ExpectationsPDF unavailable
69Lec 69: ExamplesPDF unavailable
70Lec 70: Random VectorsPDF unavailable
71Lec 71: Independence of Random VariblesPDF unavailable
72Lec 72: Complex Random VaribalesPDF unavailable
73Lec 73: Covariance MatricesPDF unavailable
74Lec 74: Conditional DensitiesPDF unavailable
75Lec 75: GaussianityPDF unavailable
76Lec 76: Chi Squared DensitiesPDF unavailable
77Lec 77: ExamplesPDF unavailable
78Lec 78: Estimation TheoryPDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available