Safety and Risk Analytics free videos and free material uploaded by IIT Kharagpur Staff .
Week 1: Basics of safety and risk
Week 2: Creation of safety database
Week 3: Safety data quality assessment and preprocessing
Week 4: Descriptive safety analytics
Week 5: Safety performance evaluation and monitoring
Week 6: Analysis of Safety Reports and Narratives
Week 7: Risk quantification
Week 8: Predictive safety analytics
Week 9: Predictive risk analytics
Week 10: Predictive risk analytics
Week 11: Prescriptive safety analytics (contd.)
Week 12: Behavioral safety analytics and injury epidemiology
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
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