The objective of this course is to impart students a holistic view of the fundamentals of experimental designs, analysis tools and techniques, interpretation and applications. Upon completion of this course, the students will know (i) the fundamentals of experiments and its uses, (ii) basic statistics including ANOVA and regression, (iii) experimental designs such as RCBD, BIBD, Latin Square, factorial and fractional factorial designs, (iv) application of statistical models in analysing experimental data, (v) RSM to optimize response of interest from an experiment, and (vi) use of software such as Minitab.
INTENDED AUDIENCE:
All Engineering
Science
Management Students
PRE-REQUISITES:
Probability and statistics
CORE/ELECTIVE:Elective
UG/PG :PG (useful to UG also)
INDUSTRY SUPPORT :
Manufacturing companies
like GM, Tata Motors, Tata Steel Process industries such as ONGC General Electric
R&D organizations
990 students have enrolled already!!
COURSE INSTRUCTOR
J. 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. 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 Analytics, 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 LAYOUT :
Week 1: Introduction to design and analysis of experiments with basic concepts and applications
1. Design and Analysis of Experiments by D C Montgomery, Wiley 2014, Eighth Edition, 730p
CERTIFICATION EXAM:
The exam is optional for a fee.
·
Date and Time of Exams: April 28 (Saturday) and April 29 (Sunday) : Afternoon session: 2pm to 5pm.
Exam for this course will be available in one session on both 28 and 29 April.
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.
CERTIFICATE:
Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of 12 weeks course: Best 8 out of 12 assignments
E-Certificate will be given to those who register and write the exam and score greater than or equal to 40%
final score. 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.
