Modules / Lectures


Sl.No Chapter Name MP4 Download
1Lecture 01 Introduction to Safety and Risk ManagementDownload
2Lecture 02 : Hazard TriangleDownload
3Lecture 03 : Safety OntologyDownload
4Lecture 04 : Qualitative Risk AssessmentDownload
5Lecture 05: Quantitative Risk AssessmentDownload
6Lecture 06: Hazard and Risk Data - IDownload
7Lecture 07: Hazard and Risk Data - IIDownload
8Lecture 08: Incident Investigation DataDownload
9Lecture 09: Inspection and Audit DataDownload
10Lecture 10: Behavioral and Organizational Safety DataDownload
11Lecture 11: Data Dimensions and Information QualityDownload
12Lecture 12: Missing Data HandlingDownload
13Lecture 13: Data Transformation – IDownload
14Lecture 14: Data Transformation – IIDownload
15Lecture 15: Data Reduction – IDownload
16Lecture 16: Data Reduction – IIDownload
17Lecture 17: Probability DistributionDownload
18Lecture 18: Sample and StatisticsDownload
19Lecture 19: Safety Data Visualization Tools - IDownload
20Lecture 20: Safety Data Visualization Tools - IIDownload
21Lecture 21: Safety Data ExplorationDownload
22Lecture 22: Leading and Lagging Indicators for Measuring Safety PerformanceDownload
23Lecture 23: Control Charts for Safety Performance Evaluation and MonitoringDownload
24Lecture 24: Safety Capability Analysis – IDownload
25Lecture 25: Safety Capability Analysis – IIDownload
26Lecture 26: Safety Reports and Use of Text AnalyticsDownload
27Lecture 27: Preprocessing of Text Data - IDownload
28Lecture 28: Preprocessing of Text Data - IIDownload
29Lecture 29 : Document Classification using KNNDownload
30Lecture 30 : Topic Modeling - Latent Dirichlet AllocationDownload
31Lecture 31: Bow-Tie ConstructionDownload
32Lecture 32 : Bow-Tie Quantification - IDownload
33Lecture 33 : Bow - Tie Quantification - II : Accident Scenarios/PathsDownload
34Lecture 34 : Bow - Tie Quantification III : Accident Path QuantificationDownload
35Lecture 35 : Bow - Tie Quantification - IV : Probabilistic Approach using Monte Carlo SimulationDownload
36Lecture 36: Consequence Modeling and Risk DistributionDownload
37Lecture 37: Introduction to Predictive Safety and Risk AnalyticsDownload
38Lecture 38: Logistic RegressionDownload
39Lecture 39: Application of Logistic RegressionDownload
40Lecture 40: Classification and Regression Tree (CART)Download
41Lecture 41: Classification and Regression Tree (CART): Case StudyDownload
42Lecture 42: Support Vector MachineDownload
43Lecture 43: Support Vector Machine (Contd.)Download
44Lecture 44: Application of Support Vector MachineDownload
45Lecture 45: Association Rule MiningDownload
46Lecture 46: Application of Association Rule MiningDownload
47Lecture 47 : Statistical Measures of Safety Program Effectiveness - IDownload
48Lecture 48: Statistical Measures of Safety Program Effectiveness - IIDownload
49Lecture 49 : Statistical Measures of Safety Program Effectiveness - IIIDownload
50Lecture 50: Intervention DesignDownload
51Lecture 51: Risk Based Decision Making-IDownload
52Lecture 52: Risk Based Decision Making-IIDownload
53Lecture 53: Risk Based Maintenance-IDownload
54Lecture 54: Risk Based Maintenance-IIDownload
55Lecture 55: Introduction to Behavioral SafetyDownload
56Lecture 56: Behavioral Safety Data Collection and Preliminary AnalysisDownload
57Lecture 57: Causal Modelling - IDownload
58Lecture 58: Causal Modelling - II : Application of Path ModelDownload
59Lecture 59: Injury EpidemiologyDownload
60Lecture 60: Occupational Safety, Health and Working Conditions Code, 2020 & ...... ........AnalyticsDownload

Sl.No Chapter Name English
1Lecture 01 Introduction to Safety and Risk ManagementDownload
To be verified
2Lecture 02 : Hazard TrianglePDF unavailable
3Lecture 03 : Safety OntologyDownload
To be verified
4Lecture 04 : Qualitative Risk AssessmentDownload
To be verified
5Lecture 05: Quantitative Risk AssessmentDownload
To be verified
6Lecture 06: Hazard and Risk Data - IDownload
To be verified
7Lecture 07: Hazard and Risk Data - IIDownload
To be verified
8Lecture 08: Incident Investigation DataDownload
To be verified
9Lecture 09: Inspection and Audit DataDownload
To be verified
10Lecture 10: Behavioral and Organizational Safety DataDownload
To be verified
11Lecture 11: Data Dimensions and Information QualityDownload
To be verified
12Lecture 12: Missing Data HandlingDownload
To be verified
13Lecture 13: Data Transformation – IDownload
To be verified
14Lecture 14: Data Transformation – IIDownload
To be verified
15Lecture 15: Data Reduction – IDownload
To be verified
16Lecture 16: Data Reduction – IIDownload
To be verified
17Lecture 17: Probability DistributionDownload
To be verified
18Lecture 18: Sample and StatisticsDownload
To be verified
19Lecture 19: Safety Data Visualization Tools - IDownload
To be verified
20Lecture 20: Safety Data Visualization Tools - IIDownload
To be verified
21Lecture 21: Safety Data ExplorationDownload
To be verified
22Lecture 22: Leading and Lagging Indicators for Measuring Safety PerformanceDownload
To be verified
23Lecture 23: Control Charts for Safety Performance Evaluation and MonitoringDownload
To be verified
24Lecture 24: Safety Capability Analysis – IDownload
To be verified
25Lecture 25: Safety Capability Analysis – IIDownload
To be verified
26Lecture 26: Safety Reports and Use of Text AnalyticsDownload
To be verified
27Lecture 27: Preprocessing of Text Data - IDownload
To be verified
28Lecture 28: Preprocessing of Text Data - IIDownload
To be verified
29Lecture 29 : Document Classification using KNNDownload
To be verified
30Lecture 30 : Topic Modeling - Latent Dirichlet AllocationDownload
To be verified
31Lecture 31: Bow-Tie ConstructionDownload
To be verified
32Lecture 32 : Bow-Tie Quantification - IDownload
To be verified
33Lecture 33 : Bow - Tie Quantification - II : Accident Scenarios/PathsDownload
To be verified
34Lecture 34 : Bow - Tie Quantification III : Accident Path QuantificationDownload
To be verified
35Lecture 35 : Bow - Tie Quantification - IV : Probabilistic Approach using Monte Carlo SimulationDownload
To be verified
36Lecture 36: Consequence Modeling and Risk DistributionDownload
To be verified
37Lecture 37: Introduction to Predictive Safety and Risk AnalyticsDownload
To be verified
38Lecture 38: Logistic RegressionDownload
To be verified
39Lecture 39: Application of Logistic RegressionDownload
To be verified
40Lecture 40: Classification and Regression Tree (CART)Download
To be verified
41Lecture 41: Classification and Regression Tree (CART): Case StudyDownload
To be verified
42Lecture 42: Support Vector MachineDownload
To be verified
43Lecture 43: Support Vector Machine (Contd.)Download
To be verified
44Lecture 44: Application of Support Vector MachineDownload
To be verified
45Lecture 45: Association Rule MiningDownload
To be verified
46Lecture 46: Application of Association Rule MiningDownload
To be verified
47Lecture 47 : Statistical Measures of Safety Program Effectiveness - IPDF unavailable
48Lecture 48: Statistical Measures of Safety Program Effectiveness - IIPDF unavailable
49Lecture 49 : Statistical Measures of Safety Program Effectiveness - IIIPDF unavailable
50Lecture 50: Intervention DesignPDF unavailable
51Lecture 51: Risk Based Decision Making-IPDF unavailable
52Lecture 52: Risk Based Decision Making-IIPDF unavailable
53Lecture 53: Risk Based Maintenance-IPDF unavailable
54Lecture 54: Risk Based Maintenance-IIPDF unavailable
55Lecture 55: Introduction to Behavioral SafetyPDF unavailable
56Lecture 56: Behavioral Safety Data Collection and Preliminary AnalysisPDF unavailable
57Lecture 57: Causal Modelling - IPDF unavailable
58Lecture 58: Causal Modelling - II : Application of Path ModelPDF unavailable
59Lecture 59: Injury EpidemiologyPDF unavailable
60Lecture 60: Occupational Safety, Health and Working Conditions Code, 2020 & ...... ........AnalyticsPDF unavailable


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2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available