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.
Week 1: Introduction to design and analysis of experiments with basic concepts and applications
Week 2: Basic statistics
Week 3: Analysis of Variance (ANOVA)
Week 4: Regression
Week 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 experiments
Week 8: Experimental designs: 2k factorial experiments
Week 9: Experimental designs: Fractional factorial experiments
Week 10:Experimental designs: 2k-p factorial experiments
Week 11:Response surface methodology (RSM)
Week 12: Introduction to software MINITAB