Design and Analysis of Experiments

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 statisticsINDUSTRY SUPPORT :

• Manufacturing companies like GM, Tata Motors, Tata Steel
• Process industries such as ONGC
• General Electric
• R&D organizations

COURSE LAYOUT

Week 1: Introduction to design and analysis of experiments with basic concepts and applicationsWeek 2: Basic statisticsWeek 3: Analysis of Variance (ANOVA)Week 4: RegressionWeek 5: Experimental designs: Randomized complete block design (RCBD)Week 6: Experimental designs: Variants of RCBD such as Latin Square, central composite design, etc.Week 7: Experimental designs: Full factorial experimentsWeek 8: Experimental designs: 2k factorial experimentsWeek 9: Experimental designs: Fractional factorial experimentsWeek 10:Experimental designs: 2k-p factorial experimentsWeek 11:Response surface methodology (RSM)Week 12: Introduction to software MINITAB