New Assignments
Module NameDownload
W0A1W0A1
W1A1W1A1
W2A1W2A1
W3A1W3A1
W4A1W4A1
W5A1W5A1
W6A1W6A1
W8A1W8A1

Sl.No Chapter Name MP4 Download
1Experiments, Outcomes and EventsDownload
2Examples: Experiments and sample spacesDownload
3Operations on EventsDownload
4Examples: Sample spaces and eventsDownload
5Sigma Fields and ProbabilityDownload
6Discrete Sample SpacesDownload
7Union and PartitionDownload
8Examples: Probability Calculation for Equally likely OutcomesDownload
9Definition and Basic PropertiesDownload
10Bayes' Rule for PartitionsDownload
11Examples: Conditional probabilityDownload
12Example of DetectionDownload
13Example: Coloured Cards from a BoxDownload
14Independence of EventsDownload
15Examples: IndependenceDownload
16Combining Independent ExperimentsDownload
17Conditional IndependenceDownload
18Examples and Computations with Conditional IndependenceDownload
19Binomial and Geometric ModelsDownload
20Examples: Binomial and Geometric ModelDownload
21Definition and Discrete SettingDownload
22RandomVariables and EventsDownload
23Examples: Discrete random variablesDownload
24Important distributionsDownload
25Examples: Discrete PMFsDownload
26Real-life modeling exampleDownload
27More DistributionsDownload
28Conditional PMFs, Conditioning on an event, Indicator random variablesDownload
29Example: Conditioning on an event, Indicator random variablesDownload
30Multiple random variables and joint distributionDownload
31Example: Two random variablesDownload
32Marginal PMFDownload
33Trinomial joint PMFDownload
34Events and Conditioning with Two Random VariablesDownload
35Example: compute marginal and conditional PMFs, probability of eventsDownload
36Independent random variablesDownload
37More on independenceDownload
38Example: IID RepetitionsDownload
39Addition of Random VariablesDownload
40Sum, Difference and Max of Two Random VariablesDownload
41More Computations: Min of Two Random VariablesDownload
42Example: X+Y, X-Y, min(X,Y), max(X,Y)Download
43Real line as sample spaceDownload
44Probability density function (pdf)Download
45Cumulative distribution function (CDF)Download
46Continuous random variablesDownload
47pdf and CDF of continuous random variablesDownload
48Spinning pointer exampleDownload
49Important continuous distributionsDownload
50More continuous distributionsDownload
51Two-dimensional real sample spaceDownload
52Joint pdf and joint CDFDownload
53More on assigning probability to regions of x-y plainDownload
54Darts example and marginal pdfsDownload
55Independence to two continuous random variablesDownload
56Examples: two independent continuous random variablesDownload
57Prob[ X > Y ]: computation of probability of a non-rectangular regionDownload
58Transformations of random variablesDownload
59CDF methodDownload
60pdf methodDownload
61ExamplesDownload
62One-to-one transformationsDownload
63Expected Value or Mean of a Random VariableDownload
64Properties of ExpectationDownload
65Expectation Computations for Important DistributionsDownload
66VarianceDownload
67Examples of VarianceDownload
68Correlation and CovarianceDownload
69Expectations with Two Random VariablesDownload
70Examples: Continuous DistributionsDownload
71Examples: SymmetryDownload
72Examples: Discrete DistributionsDownload
73Live SessionDownload

Sl.No Chapter Name English
1Experiments, Outcomes and EventsPDF unavailable
2Examples: Experiments and sample spacesPDF unavailable
3Operations on EventsPDF unavailable
4Examples: Sample spaces and eventsPDF unavailable
5Sigma Fields and ProbabilityPDF unavailable
6Discrete Sample SpacesPDF unavailable
7Union and PartitionPDF unavailable
8Examples: Probability Calculation for Equally likely OutcomesPDF unavailable
9Definition and Basic PropertiesPDF unavailable
10Bayes' Rule for PartitionsPDF unavailable
11Examples: Conditional probabilityPDF unavailable
12Example of DetectionPDF unavailable
13Example: Coloured Cards from a BoxPDF unavailable
14Independence of EventsPDF unavailable
15Examples: IndependencePDF unavailable
16Combining Independent ExperimentsPDF unavailable
17Conditional IndependencePDF unavailable
18Examples and Computations with Conditional IndependencePDF unavailable
19Binomial and Geometric ModelsPDF unavailable
20Examples: Binomial and Geometric ModelPDF unavailable
21Definition and Discrete SettingPDF unavailable
22RandomVariables and EventsPDF unavailable
23Examples: Discrete random variablesPDF unavailable
24Important distributionsPDF unavailable
25Examples: Discrete PMFsPDF unavailable
26Real-life modeling examplePDF unavailable
27More DistributionsPDF unavailable
28Conditional PMFs, Conditioning on an event, Indicator random variablesPDF unavailable
29Example: Conditioning on an event, Indicator random variablesPDF unavailable
30Multiple random variables and joint distributionPDF unavailable
31Example: Two random variablesPDF unavailable
32Marginal PMFPDF unavailable
33Trinomial joint PMFPDF unavailable
34Events and Conditioning with Two Random VariablesPDF unavailable
35Example: compute marginal and conditional PMFs, probability of eventsPDF unavailable
36Independent random variablesPDF unavailable
37More on independencePDF unavailable
38Example: IID RepetitionsPDF unavailable
39Addition of Random VariablesPDF unavailable
40Sum, Difference and Max of Two Random VariablesPDF unavailable
41More Computations: Min of Two Random VariablesPDF unavailable
42Example: X+Y, X-Y, min(X,Y), max(X,Y)PDF unavailable
43Real line as sample spacePDF unavailable
44Probability density function (pdf)PDF unavailable
45Cumulative distribution function (CDF)PDF unavailable
46Continuous random variablesPDF unavailable
47pdf and CDF of continuous random variablesPDF unavailable
48Spinning pointer examplePDF unavailable
49Important continuous distributionsPDF unavailable
50More continuous distributionsPDF unavailable
51Two-dimensional real sample spacePDF unavailable
52Joint pdf and joint CDFPDF unavailable
53More on assigning probability to regions of x-y plainPDF unavailable
54Darts example and marginal pdfsPDF unavailable
55Independence to two continuous random variablesPDF unavailable
56Examples: two independent continuous random variablesPDF unavailable
57Prob[ X > Y ]: computation of probability of a non-rectangular regionPDF unavailable
58Transformations of random variablesPDF unavailable
59CDF methodPDF unavailable
60pdf methodPDF unavailable
61ExamplesPDF unavailable
62One-to-one transformationsPDF unavailable
63Expected Value or Mean of a Random VariablePDF unavailable
64Properties of ExpectationPDF unavailable
65Expectation Computations for Important DistributionsPDF unavailable
66VariancePDF unavailable
67Examples of VariancePDF unavailable
68Correlation and CovariancePDF unavailable
69Expectations with Two Random VariablesPDF unavailable
70Examples: Continuous DistributionsPDF unavailable
71Examples: SymmetryPDF unavailable
72Examples: Discrete DistributionsPDF unavailable
73Live SessionPDF unavailable

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