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

J. Maiti PhD, Professor, Department of Industrial & Systems Engineering, Indian Institute of Technology (IIT), Kharagpur has more than fifteen years of teaching, research and consulting experience on Safety Analytics, Quality Analytics and Engineering Ergonomics. 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 11 PhD candidates to successful completion and currently supervising 8 PhD research candidates. He has been executing a number of Industry-sponsored consulting and Government as well industry funded research projects. He has organized 17 training programmes and short-term courses for industry participants. Prof Maiti has been pursuing research on safety analytics, quality analytics, and engineering ergonomics including the applications of multivariate statistical modeling since 1995.


Teaching Assistant(s)

Souvik Das

Joint M.tech- PhD., Industrial and Systems Engineering

Sobhan Sarkar

PhD student, Department of Industrial & Systems Engineering

 Course Duration : Jan-Apr 2018

  View Course

 Enrollment : 20-Nov-2017 to 22-Jan-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

1057

Registered

60

Certificate Eligible

49

Certified Category Count

Gold

0

Silver

0

Elite

24

Successfully completed

25

Participation

5

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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

BALAJI ROHIDAS KADAM 87%

COLLEGE OF ENGINEERING ,PUNE

R.PARAMESHWARAN 82%

KONGU ENGINEERING COLLEGE

B THILAKA 82%

SRI VENKATESWARA COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 1057

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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.