NOC:Safety and Risk Analytics

Lecture 1 - Introduction to Safety and Risk Management

Lecture 2 - Hazard Triangle

Lecture 3 - Safety Ontology

Lecture 4 - Qualitative Risk Assessment

Lecture 5 - Quantitative Risk Assessment

Lecture 6 - Hazard and Risk Data - I

Lecture 7 - Hazard and Risk Data - II

Lecture 8 - Incident Investigation Data

Lecture 9 - 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 (Continued...)

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