 This is Professor Indrajit Mukherjee from Shailesh Jimeta School of Management IIT Bombay. So I will be taking a course on Quality Control and Improvement with Minitab. So what is this course all about what I will discuss that I will briefly tell you in this short video ok. So the course can be divided into two halves I will talk about the first half of the course and second half of the course. So first of the course I will discuss about control aspects of quality and the second half of the course I will discuss about improvement aspects of quality like that. So some of the reference book that I will suggest you to you may see these books which are very good books on quality. So Douglas Montgomery Introduction to Statistical Quality Control, Design and Analysis of Experiment by the same author Amitabh Umitra Fundamentals of Quality Control and Improvement, Besterfield Total Quality Management. Evans book on Management and Control of Quality is also very good. So all these books will give you a brief understanding of quality control and improvement aspects. So these are the reference book you can think of what you can follow to understand what I will deliver in this 20 hours basically ok. So what are the topics that I will cover in the first half of the course that you see that I am trying to show you on the screen. So what I will do is that I will talk about briefly about quality of design and the second part is quality of conformance basically. So quality of design I will talk about boys of quality, canon model, CTQ very briefly, quality function deployment, robust design and design failure mode and effect analysis. Quality of conformance then I will talk about CTQ control factors, controllable factors, noise, variables. So I will talk about what is accuracy precision, then I will talk about why people does inspection, statistical process control, design of experiments like that, different quality methodologies that is TQM, ISO, Six Sigma, Lean. So I will not go into in depth into this because you will get it from some of the web course or video course on quality where these things are more discussed. So I will just give you brief idea about this, about quality of design and quality of conformance that will be the introduction part then I will go to quality control aspects because my emphasis will be how to use Minitab in control and improvement stages like that. So I will use examples to illustrate those things. So quality control aspects I will talk about some quality tools like that, cause and effect, how it is done in Minitab, some examples Pareto chart, visualization which is like scatter diagram, histograms, box plot, bar chart, pie chart like that. So then I will introduce something like I will also introduce this Minitab interface, Minitab 19 interface which is a portion that I will use basically. So then I will talk about more in depth examples on variable control chart, statistical process control which is an important aspects of quality control. So variable control chart, attribute chart, process capability, Z benchmark, Sigma labels, this will be covered with Minitab examples like that. I will also cover something briefly about some hypothesis testing which can also be done in Minitab because these tools are extensively used in quality also. So analysis of variance, so ANOVA analysis like that. So that is the starting point of experimentation basically hypothesis testing. So we need to understand some basic concepts about that. Then measurement system analysis because that is also important because if the instrument is not good in that case and how to use that means how to analyze measurement system analysis in Minitab interface that I will show with few examples like that. Then second half of the course I will try to deliver the quality improvement aspects. So for that what is required is that some understanding of regression. So I will talk about regression aspects of that. So multiple regression, multicollinearity, best subset regression, how to use that in Minitab interface. So I will not talk about much theories on this aspect because every book will explain theories. Some of the courses also will give you some basic idea about theories of regression, many YouTube videos which you can see, but I will I will only show interface of Minitab and how to use that when I am solving a regression type of problems like that. Because this regression is extensively used in design of experiments also. So then I will talk about design of experiments. So I will talk about factorial design. I will also talk about center points in factorial design with some example, blocking in factorial design that also I will try to cover. Then response surface methodology with some examples and then central composite design with some examples. Then multiple response optimization when I have more than one output to optimize what is to be done in that case, multiple response optimization I will also cover. Then fractional factorial design which will give you an idea of screening experimentation that is when you have large number of variables how to do that. Then I will also talk about Taguchi's experimentation which is also used extensively for screening purpose like that. So which also optimizes mean and variance like that. So L4 array, L8 array, L12 some examples. So my focus will be on how to use specific methods for a specific scenario and how to resolve that problem any problems in quality whether it is improvement aspects, whether it is control aspects like that. How to use MINITAB interface basically to solve this one and how to address that problem. And what is the interpretation of MINITAB output basically that I will try to illustrate. So 20 hours is I am expecting that I will try to cover this one, but let us see and hope what I can do in this course. So thank you everyone. So see you in the course. So thank you very much.