The objective of this course is to impart students of both UG and PG levels, working professionals, and industry practioners with a holistic view of safety and risk analytics applied to systems life cycle through advanced analytics and reporting techniques and technologies. Upon completion of this course, the students will know (i) types, sources and characteristics of safety data and their integration for organization-wide safety centric data model, (ii) safety data visualization and exploration, (iii) safety performance evaluation and monitoring, (iv) safety predictive models, (v) behavioral safety analytics, (vi) injury epidemiology, and (vii) safety related decision making. The concepts, methodologies, mathematics, techniques and algorithms needed for this course are drawn from engineering approaches, statistics, machine learning and data mining. The primary focuses of this course is learn from data, predict the future and take data driven decision making.INTENDED AUDIENCE:All Engineering, Science, and Management StudentsPRE-REQUISITE:Basic probability and statisticsINDUSRTY SUPPORT:Manufacturing companies like GM, Tata Motors, Tata Steel;Process industries such as ONGC;Mining industry like Coal India Limited;Construction companies like L&T;General Electric;R&D organizations like DRDO
Safety and Risk Analytics
Indian Institute of Technology, Kharagpur and NPTEL via Swayam
This course may be unavailable.
Overview
Syllabus
Week 1: Basics of safety and riskWeek 2: Creation of safety databaseWeek 3: Safety data quality assessment and preprocessingWeek 4: Descriptive safety analyticsWeek 5: Safety performance evaluation and monitoringWeek 6: Analysis of Safety Reports and NarrativesWeek 7: Risk quantificationWeek 8: Predictive safety analyticsWeek 9: Predictive risk analyticsWeek 10: Predictive risk analyticsWeek 11: Prescriptive safety analytics (contd.)Week 12: Behavioral safety analytics and injury epidemiology
Taught by
Prof. Jhareswar Maiti
