About the course:
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 Students
PRE-REQUISITE: Basic probability and statistics
INDUSRTY 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