Learn · Safety and Risk Analytics
Lecture 58 of 61week-12
Lecture 58: Causal Modelling - II : Application of Path Model
Prof. Jhareswar Maiti · IIT Kharagpur
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- Safety and Risk Analytics, IIT Kharagpur (at NPTEL)
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All the lectures
- Lecture 01 Introduction to Safety and Risk Management
- Lecture 02 : Hazard Triangle
- Lecture 03 : Safety Ontology
- Lecture 04 : Qualitative Risk Assessment
- Lecture 05: Quantitative Risk Assessment
- Lecture 06: Hazard and Risk Data - I
- Lecture 07: Hazard and Risk Data - II
- Lecture 08: Incident Investigation Data
- Lecture 09: Inspection and Audit Data
- Lecture 10: Behavioral and Organizational Safety Data
- Lecture 11: Data Dimensions and Information Quality
- Lecture 12: Missing Data Handling
- Lecture 13: Data Transformation – I
- Lecture 14: Data Transformation – II
- Lecture 15: Data Reduction – I
- Lecture 16: Data Reduction – II
- Lecture 17: Probability Distribution
- Lecture 18: Sample and Statistics
- Lecture 19: Safety Data Visualization Tools - I
- Lecture 20: Safety Data Visualization Tools - II
- Lecture 21: Safety Data Exploration
- Lecture 22: Leading and Lagging Indicators for Measuring Safety Performance
- Lecture 23: Control Charts for Safety Performance Evaluation and Monitoring
- Lecture 24: Safety Capability Analysis – I
- Lecture 25: Safety Capability Analysis – II
- Lecture 26: Safety Reports and Use of Text Analytics
- Lecture 27: Preprocessing of Text Data - I
- Lecture 28: Preprocessing of Text Data - II
- Lecture 29 : Document Classification using KNN
- Lecture 30 : Topic Modeling - Latent Dirichlet Allocation
- Lecture 31: Bow-Tie Construction
- Lecture 32 : Bow-Tie Quantification - I
- Lecture 33 : Bow - Tie Quantification - II : Accident Scenarios/Paths
- Lecture 34 : Bow - Tie Quantification III : Accident Path Quantification
- Lecture 35 : Bow - Tie Quantification - IV : Probabilistic Approach using Monte Carlo Simulation
- Lecture 36: Consequence Modeling and Risk Distribution
- Lecture 37: Introduction to Predictive Safety and Risk Analytics
- Lecture 38: Logistic Regression
- Lecture 39: Application of Logistic Regression
- Lecture 40: Classification and Regression Tree (CART)
- Lecture 41: Classification and Regression Tree (CART): Case Study
- Lecture 42: Support Vector Machine
- Lecture 43: Support Vector Machine (Contd.)
- Lecture 44: Application of Support Vector Machine
- Lecture 45: Association Rule Mining
- Lecture 46: Application of Association Rule Mining
- Lecture 47 : Statistical Measures of Safety Program Effectiveness - I
- Lecture 48: Statistical Measures of Safety Program Effectiveness - II
- Lecture 49 : Statistical Measures of Safety Program Effectiveness - III
- Lecture 50: Intervention Design
- Lecture 51: Risk Based Decision Making-I
- Lecture 52: Risk Based Decision Making-II
- Lecture 53: Risk Based Maintenance-I
- Lecture 54: Risk Based Maintenance-II
- Lecture 55: Introduction to Behavioral Safety
- Lecture 56: Behavioral Safety Data Collection and Preliminary Analysis
- Lecture 57: Causal Modelling - I
- Lecture 58: Causal Modelling - II : Application of Path Model
- Lecture 59: Injury Epidemiology
- Lecture 60: Occupational Safety, Health and Working Conditions Code, 2020 & ...... ........Analytics
- Live Session 15-03-2022