Course abstract
Data driven decision making is the state of the art today. Engineers today gather huge data and seek meaningful knowledge out of these for interpreting the process behaviour. Scientists do experiments under controlled environment and analyse them to confirm or reject hypotheses. Managers and administrators use the results out of data analysis for day to day decision making. As the data collected and stored are multidimensional, to extract knowledge out of it requires statistical analysis in the multivariate domain. The aim of this course is therefore to build confidence in the students in analysing and interpreting multivariate data. The course will help the students by:
- (i) Providing guidelines to identify and describe real life problems so that relevant data can be collected,
- (ii) Linking data generation process with statistical distributions, especially in the multivariate domain,
- (iii) Linking the relationship among the variables (of a process or system) with multivariate statistical models,
- (iv) Providing step by step procedure for estimating parameters of a model developed,
- (v) Analysing errors along with computing overall fit of the models,
- (vi) Interpreting model results in real life problem solving, and
- (vii) Providing procedures for model validation.
Course Instructor
Prof. Jhareswar Maiti
Prof. Jhareswar Maity, 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 ScienceMore info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Apr 2022
View Course
Enrollment : 14-Nov-2021 to 31-Jan-2022
Exam registration : 13-Dec-2021 to 18-Mar-2022
Exam Date : 24-Apr-2022
Enrolled
Will be announced
Registered
Will be announced
Certificate Eligible
Will be announced
Certified Category Count
Gold
Will be announced
Silver
Will be announced
Elite
Will be announced
Successfully completed
Will be announced
Participation
Will be announced
Success
.jpg)
Category : Successfully Completed
Elite
.jpg)
Category : Elite
Gold
.jpg)
Category : Gold