Safety and Risk Analytics

By Prof. Jhareswar Maiti | IIT Kharagpur

Learners enrolled: 2111

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

Summary

Course Status :	Completed
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Management Studies
Credit Points :	3
Level :	Undergraduate/Postgraduate
Start Date :	24 Jan 2022
End Date :	15 Apr 2022
Enrollment Ends :	07 Feb 2022
Exam Date :	24 Apr 2022 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

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

Books and references

Probabilistic Risk Assessment and Management for Engineers and Scientists, by H Kumamoto and E J Henley, IEEE Press.
An Introduction to Statistical Learning by James, G., Witten, D., Hastie, T., and Tibshirani, R., Springer.
Pattern Recognition and Machine Learning by Christopher M Bishop, Springer.
Introduction to data mining by Tan, P. N., Steinbach, M., & Kumar, V. (2016). Pearson Education India.
Text mining: predictive methods for analysing unstructured information, by Weiss S M, Indurkhya N, Zhang T and Damerau F J, Springer.

Instructor bio

Prof. Jhareswar Maiti

IIT Kharagpur

Prof. Jhareswar Maiti, PhD, Professor, Department of Industrial & Systems Engineering, Indian Institute of Technology (IIT), Kharagpur has more than fifteen years of teaching, research and consulting experience on Safety Analytics, Quality Analytics and Engineering Ergonomics. He has published more than 70 papers in international and national journals of repute and more than 30 papers in conference proceedings. Till date, he has supervised 11 PhD candidates to successful completion and currently supervising 8 PhD research candidates. He has been executing a number of Industry-sponsored consulting and Government as well industry funded research projects. His current UAY project entitled Safety analytics save people at work from accidents and injuries was funded by MHRD, Ministry of Steel, and Tata Steel Limited. He has organized 17 training programmes and short-term courses for industry participants. Prof Maiti has been pursuing research on safety analytics, quality analytics, and engineering ergonomics including the applications of multivariate statistical modeling since 1995. Prof Maiti excels in teaching Safety Engineering, Safety Analytics, Work System Design, Quality Engineering, Design and Analysis of Experiments (DOE), Six-sigma Fundamentals and Applications, and Applied Multivariate Statistical Modeling. A 42 lecture series on "Applied Multivariate Statistical Modeling" of Prof Maiti is available in Youtube uploaded by NPTEL (national programme on technology enhanced learning). Prof Maiti has been serving the editorial board member of several international journals of repute. Presently he is the editorial board member of Safety Science published by Elsevier Science, International Journal of Injury Control and Safety Promotion, published from Taylor & Francis, and Safety and Health at Work (SHAW) published by Elsevier Science

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: 24 April 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team