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Courses » Data Analysis and Decision Making - I

Data Analysis and Decision Making - I

ABOUT THE COURSE:

This is the first part of the three part course (DADM-I, DADM-II, DADM-III) which covers Operations Research and its tools with applications. In general Decision Analysis and Decision Making (DADM) covers three main areas which are: Multivariate Statistical Analysis with its applications, Other Decision Making Models like DEA, AHP, ANP, TOPSIS, etc., and Operations Research and its tools with applications. These three part DADM course will be more practical and application oriented rather than theoretical in nature.

Important For Certification/Credit Transfer:

Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here

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Note: Content is Free!

All content including discussion forum and assignments, is free


Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.


INTENDED AUDIENCE:
Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, Phd in related fields as mentioned above

CORE/ELECTIVE: Elective

UG/PG: PG

PREREQUISITES: Probability & Statistics,Operations Research

INDUSTRY SUPPORT: Manufacturing industry, chemical industry, steel industry, cement industry, etc.

3248 students have enrolled already!!

ABOUT THE INSTRUCTOR:

 

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.

COURSE LAYOUT:

Week 1  :  Introduction to Multivariate Analysis
Week 2  :  Joint and marginal Distribution
Week 3  :  Multinomial, Multivariate Normal, Multivariate t, Wishart and other Distributions
Week 4  :  Multivariate Extreme Valued Distributions
Week 5  :  Copula Method
Week 6  :  Multiple Linear Regression, Multiple Non-Linear Regression, etc.
Week 7  :  Factor Analysis
Week 8  :  MANOVA, MANCOVA, etc.
Week 9  :  Conjoint Analysis
Week 10  :  Cluster Analysis
Week 11  :  Multiple Discriminant Analysis
Week 12  :  Multidimensional Scaling, Structural Equation Modeling

SUGGESTED READING MATERIALS:

1) Agresti, A. (2007). An Introduction to Categorical Data Analysis, Wiley, ISBN: 9780471226185.
2) Anderson, T. W. (2003). An Introduction to Multivariate Statistical Analysis, John Wiley & Sons, ISBN: 9780471360919.
3) Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling, Sociological Methods & Research, 16, 78-117.
4) Bollen, Kenneth A. (1989). Structural Equations with Latent Variables, Wiley, ISBN: 978-0-471-01171-2.
5) Chatfield, C. and Collins, A. J. (1980). Introduction to Multivariate Analysis, Chapman & Hall, ISBN: 978-0-412-16030-1.
6) Duran, B. S. and Odell, P. L. (1974). Cluster Analysis: A Survey, Springer-Verlag, New York, ISBN 978-3-642-46309-9.
7) Gnanadesikan, R. (2011). Methods for Statistical Data Analysis of Multivariate Observations, John Wiley & Sons, ISBN: 0471161195.
8) Härdle, W. K. and Simar, L. (2007). Applied Multivariate Statistical Analysis, Springer-Verlag, ISBN: 9783540722434.
9) Johnson, R. A. and Wichern, D. W. (2002). Applied Multivariate Statistical Analysis, Pearson Education, ISBN: 8178086867.
10) Kotz, S. and Nadarajah, S. (2004). Multivariate Distributions and Their Applications, Cambridge University Press, ISBN: 0521826543.
11) Seber, G. A. F. (2004). Multivariate Observations, John Wiley & Sons, ISBN: 9780471691211.
CERTIFICATION EXAM :
  • The exam is optional for a fee.
  • Date and Time of Exam: 

    28 October 2018

     (Sunday).
  • Time of Exam : Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm.
  • Exam for this course will be available in both morning & afternoon sessions.
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATION:
  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of  Best 8 out of 12 assignments
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kanpur.It will be e-verifiable at nptel.ac.in/noc.