Course Name: Total Quality Management - I

Course abstract

This is the first part of the two part course (TQM-I, TQM-II) and will cover topics ranging from TQM, Kaizen, Elementary concepts related to quality assurance, Basic Statistical Concepts and Control of Accuracy and Precision, Process Capability, SPC, Acceptance Sampling and Quality Management Systems, ISO 9000, etc.


Course Instructor

Media Object

Prof. Raghu Nandan Sengupta

Prof. Raghu Nandan Sengupta completed his bachelors in engineering in Mechanical Engineering from Birla Institute of Technology Mesra, Ranchi INDIA and his FPM (PhD) from Indian Institute of Management Calcutta, INDIA with specialization in Operations Management. His research interests are in Sequential Analysis, Statistical & Mathematical Reliability, Optimization and its use in Financial Optimization. His research work has been published in journals like Metrika, European Journal of Operational Research, Sequential Analysis, Computational Statistics & Data Analysis, Communications in Statistics: Simulation & Computation, Quantitative Finance, etc. At Indian Institute of Technology Kanpur, INDIA he is a Professor in the Industrial & Management Engineering department and teaches courses like Probability & Statistics, Stochastic Processes & their Applications, Management Decision Analysis, Financial Risk Management, etc. He is also the recipient of IUSSTF Fellowship 2008 and visited Operations Research & Financial Engineering department at Princeton University, USA, ERASMUS MUNDUS Fellowship 2011 to Warsaw University, POLAND, EU-NAMASTE Fellowship 2015 to IST, University of Lisboa, PORTUGAL, DAAD Fellowship 2015 to TU Dresden, GERMANY.


More info

Teaching Assistant(s)

Somnath Bhattacharya

Ph.D. (Pursuing)

 Course Duration : Aug-Oct 2017
  View Course
 Enrollment : 17-May-2017 to 21-Aug-2017
 Exam registration : 30-Aug-2017 to 20-Sep-2017
 Exam Date : 22-Oct-2017

Enrolled

5282

Registered

544

Certificate Eligible

393

Certified Category Count

Gold

28

Silver

0

Elite

198

Successfully completed

167

Participation

75

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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Total Quality Management - I - Toppers list
Top 1 % of Certified Candidates

MOHAMMED AFFAN 97%

B.S.ABDUR RAHMAN UNIVERSITY

DEBOPAM GHOSH 96%

AMDER

GAURAV KHANNA 95%

INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

NAGENDRA GUPTHA C K 95%

R V COLLEGE OF ENGINERING

AMIT SHARMA 95%

BANARAS HINDU UNIVERSITY

K CHANDRA SEKHARA REDDY 95%

BMS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

PARAG ROY CHOUDHURY 95%

NIT DURGAPUR


Top 2 % of Certified Candidates

VASHIST VALSARAJ 94%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

NEVILKUMAR SUBODHCHANDRA GANDHI 94%

SHREE SAD VIDYA MANDAL INSTITUTE OF TECHNOLOGY BHARUCH

VARUN R BHARADWAJ 94%

BMS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

SUDHIR 94%

SHRI MADHWA VADIRAJA INSTITUTE OF TECHNOLOGY AND MANAGEMENT


Top 5 % of Certified Candidates

ANTARIP CHATTERJEE 93%

WEST BENGAL UNIVERSITY OF ANIMAL AND FISHERY SCIENCES

SHABNAM SAMIMA 92%

INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

VIJAY LADHA 92%

BANARAS HINDU UNIVERSITY

SONAL UPADHYAY 92%

GANDHINAGAR INSTITUTE OF TECHNOLOGY

HARSHALI SHRIKRISHNA PARAB 92%

D J SANGHVI COLLEGE

VEENA PY 92%

AUTOTEC SYSTEMS PVT LTD

SHEIK MUHAMMED ZUBAIR . A 91%

B.S.ABDUR RAHMAN UNIVERSITY

FAISAL BABU P 91%

SMS CUSAT

ARUMUGANATHAN P 91%

PSG COLLEGE OF TECHNOLOGY

AISHWARYA MISHRA 91%

HINDU COLLEGE

SAGARKUMAR DILIPBHAI PATEL 91%

SIGNODE INDIA LIMITED

DEIVASIGAMANI R 91%

KONGU ENGINEERING COLLEGE

NIKHIL YASMIN 91%

COLLEGE OF ENGINEERING TRIVANDRUM

Enrollment Statistics

Total Enrollment: 5282

Data Not Found..!
Data Not Found..!

Assignment Statistics



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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.