July 2018: Data Analysis and Decision Making - I

Start Date
30/07/2018

End Date
21/10/2018

Enrollment End Date
21/10/2018

No. of
Enrollments
498 students

No course
syllabus uploaded

Created by

Raghu Nandan Sengupta
Indian Institute of Technology - Kanpur
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Course Language
English
Course Type
Scheduled
Video transcripts
English
Course Category
Engineering
Learning Path
Undergraduate
Course Length
30 Hours
Weekly time commitments
60 Hours
Course Completion
Yes, after passing all tests.
Exam Date
To be announced
Credits
0

60

Tutorials

0

Test

0

Assignment

0

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0

Weekly Reading list

Overview

For certification please: click here

Last date for enrollment: 30 July, 2018.

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: Operations Research and its tools with applications, Other Decision Making Models like DEA, AHP, ANP, TOPSIS, etc., and Multivariate Statistical Analysis with its applications. These three part DADM course will be more practical and application oriented rather than theoretical in nature.
 
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.

To access the content, please enroll in the course.

Faculty

Raghu Nandan Sengupta


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, Ideas of Optimization and Modeling
Week 2  :  Linear Programming (LP) and related topics
Week 3  :  Simplex Method, Interior point Method and related concepts
Week 4  :  Non-Linear Programming (NLP)
Week 5  :  Goal Programming
Week 6  :  Stochastic Programming
Week 7  :  0-1 Programming and other related methods
Week 8  :  Polynomial Optimization
Week 9  :  Reliability Based Programming
Week 10  :  Robust Optimization
Week 11  :  Other topics like Parametric programming, etc.
Week 12  :  Multi-objective Programming

SUGGESTED READING MATERIALS:

1) B Bazaraa, M. S., Sherali, H. D. and Shetty, C. M., (1979), Linear Programming and Network Flows, John Wiley & Sons, ISBN 9812-53-041-X.
2) Bazaraa, M. S., Sherali, H. D. and Shetty, C. M., (2004), Nonlinear programming. Theory and Algorithms, John Wiley & Sons, ISBN 9812-53-068-1.
3) Birge, J. R. and Louveaux, F. V., (1997), Introduction to Stochastic Programming, Springer, ISBN: 978-0387982175.
4) Bertsekas, D. P., (2005), Dynamic Programming and Optimal Control-Vol (I), Athena Scientific, ISBN 1-886529-26-4.
5) Bertsekas, D. P., (2005), Dynamic Programming and Optimal Control-Vol (II), Athena Scientific, ISBN 1-886529-30-2.
6) Boyd, S. P. and Vandenberghe, L., (2004), Convex Optimization, Cambridge University Press, ISBN: 0-521-83378-7.
7) Dantzig, G. B. and Thapa M. K., (2009), Linear Programming: Introduction (Vol 1), Springer, ISBN(13): 9788184893823/ISBN(10): 8184893825.
8) Dantzig, G. B. and Thapa M. K., (2009), Linear Programming: Theory and Extension (Vol 2), Springer, ISBN(13): 9788184893854/ISBN(10): 818489385X.
9) Lange, K., (2010), Optimization, Springer, ISBN(13): 9788181285096/ISBN(10): 8181285093.
10) Rardin, R. L., (2002), Optimization in Operations Research, Pearson Education, ISBN: 81-7808-671-9.
11) Winston, W. L., (2003), Operations Research: Applications and Algorithms, Cengage Learning, ISBN: 81-315-0190-6.
 
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.
 

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