Design and Analysis of Experiments
Indian Institute of Technology, Kharagpur and NPTEL via Swayam
-
54
-
- Write review
Overview
INTENDED AUDIENCE:
- All Engineering
- Science
- Management Students
- Manufacturing companies like GM, Tata Motors, Tata Steel
- Process industries such as ONGC
- General Electric
- R&D organizations
Syllabus
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 MINITABTaught by
J. Maiti
Tags
Related Courses
-
Experimental Design in R
-
Biostatistics and Design of experiments
Indian Institute of Technology Madras, NPTEL
-
Experimental Design Basics
Arizona State University
-
Designing, Running, and Analyzing Experiments
University of California, San Diego
1.5 -
Design of Experiments
Arizona State University
-
Quality Control and Improvement with MINITAB
NPTEL, Indian Institute of Technology Bombay
Reviews
5.0 rating, based on 1 reviews
-
Nagraj Shet is taking this course right now, spending 1 hours a week on it and found the course difficulty to be easy.
To apply statistics that deals with planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental situations.