Technology Forecasting for strategic decision making - An Introduction

By Prof. Bala Ramadurai, Prof. Dmitry KUCHARAVY   |   IIT Madras, EM Strasbourg Business School (University of Strasbourg)
Learners enrolled: 937
How to strengthen strategic decision-making with reliable technological forecasts? Numerous quantitative methods are available for predicting future demands and short-term changes. These methods, however, have limited application for such a question. The need is to combine the advantages of qualitative methods and explorative qualitative methods for long-range technological forecasting. A structured methodology can be applied for this purpose. In this course, you will learn a combination of the technique “Extrapolation with S-curves” and a network of problems using practical case studies.


PREREQUISITES : Data Management Skills

INDUSTRIES SUPPORT : Many industries and institutes recognize the need for technology forecasting, e.g. - manufacturing, ICT
Course Status : Completed
Course Type : Elective
Duration : 4 weeks
Category :
  • Management Studies
Credit Points : 1
Level : Postgraduate
Start Date : 24 Jan 2022
End Date : 18 Mar 2022
Enrollment Ends : 07 Feb 2022
Exam Date : 27 Mar 2022 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

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Course layout

Week 1: Introduction to Technology Forecasting (TF)
Week 2: Case Studies and Structure of the Course - introduce models (using process)
Week 3: Setup of a TF Project (introduce process - using models from Week 2)
Week 4: Qualitative Forecast, Quantitative Forecast and Wrap Up

Books and references

  1. Meyer, P. S., Yung, J. W., & Ausubel, J. H. (1999). A Primer on Logistic Growth and Substitution: The Mathematics of the Loglet Lab Software. Technological Forecasting and Social Change, 61(3), 247–271. 
  2. Modis, T. (2013). Natural Laws in the Service of the Decision Maker: How to Use Science-Based Methodologies to See More Clearly further into the Future. Growth Dynamics.
  3. FORMAT Project. 2020. “Technology Forecasting Handbook, FORMAT - Forecasting and Roadmapping for Manufacturing Technologies.” https://handbook.format-project.eu/ 
  4. Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice (2nd ed.). OTexts. https://otexts.com/fpp2/ 

Instructor bio

Prof. Bala Ramadurai

IIT Madras
Dr. Bala Ramadurai is an independent innovation consultant and professor. He has 3 patents to his credit and 10+ publications in international research journals. He co-founded TRIZ Innovation India (http://trizindia.org) and is an Adjunct Professor at Symbiosis Institute of Business Management, India.He has a PhD from Arizona State University, USA, and a B.Tech from IIT Madras, India.

Prof. Dmitry KUCHARAVY

EM Strasbourg Business School (University of Strasbourg)
Mr. Dmitry KUCHARAVY does his research in the HUMANIS laboratory at EM Strasbourg (University of Strasbourg). He teaches technology forecasting and Researching Future at Politecnico di Milano, and Innovation & Strategy at University of Strasbourg. His research focuses on reliable forecasting of technological change and design of logistics warehousing systems.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 27 March 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
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. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.


Average assignment score = 25% of average of best 3 assignments out of the total 4 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

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 Madras .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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