Design of Experiment
Design of experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process.The design and analysis of experiments revolves around the understanding of the effects of different variables on other variable(s). The dependent variable, in the context of DOE, is called the response, and the independent variables are called factors. Experiments are run at different factor values, called levels. Each run of an experiment involves a combination of the levels of the investigated factors. Each of the combinations is referred to as a treatment.
Design of experiments (DOE) is a systematic approach to engineering problem-solving that applies principles and techniques at the data collection stage so as to ensure the generation of valid engineering conclusions. In addition, all of this is carried out under the constraint of a minimal expenditure of engineering runs, time, and money.
The target audience for this course is 3rd year students of all the divisions. This course is approp
|1||Introduction to design of experiment|
|2||Simple Comparative Experiments|
|3||Experiments with a Single Factor: The Analysis of Variance|
|4||Introduction to Factorial Designs|
|5||Understanding factorial design contexts|
|6||Working with 2-level fractional factorial designs|
|7||Three-Level and Mixed-Level Factorial and Fractional Factorial Designs|
|8||Working with single factors or one-way ANOVA in completely randomized experimental design contexts|
|9||Case-study on DOE in various engineering fields|
|10||Hands-on training on DOE using MINITAB software|