Course Name: Design and Analysis of Experiments

Course abstract

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.


Course Instructor

Media Object

Prof. Jhareswar Maiti

Prof. Jhareswar Maiti PhD, Professor, Department of Industrial & Systems Engineering, Indian Institute of Technology (IIT), Kharagpur, India has more than fifteen years of teaching, research and consulting experience on statistical modeling of production and service systems in the areas of Quality Management, Safety Management, Work System Design, and Asset Management. His current research and teaching interests encompass applied data analytics including statistical modeling, machine learning and data mining applications for prediction and decision making. He has published more than 70 papers in international and national journals of repute and more than 30 papers in conference proceedings. Till date, he has supervised 10 PhD candidates to successful completion and currently supervising 8 PhD research candidates. He has been executing a number of Industry-sponsored consulting and Government-funded research projects. He has organized 15+ training programmes and short-term courses for industry participants. A 42 lecture series on "Applied Multivariate Statistical Modeling" of Prof Maiti is available through youtube uploaded by NPTEL (national programme on technology enhanced learning). The current profile of Prof Maiti can be found at IIT Kharagpur website.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Mar-2021

 Exam Date : 24-Apr-2021

Enrolled

637

Registered

22

Certificate Eligible

9

Certified Category Count

Gold

3

Silver

3

Elite

2

Successfully completed

1

Participation

0

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Design and Analysis of Experiments - Toppers list

MEENU MUNJAL 95%

M.L.V. TEXTILE & ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 637

Registration Statistics

Total Registration : 22

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.