Course abstract
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.
Course Instructor
Prof. Dmitry KUCHARAVY
Prof. Dmitry KUCHARAVY does his research in the HUMANIS laboratory at EM Strasbourg (University of Strasbourg). He teaches technology foresight, knowledge economy and innovation & strategy. His research focuses on reliable forecasting of technological change and logistics warehouse design.More info
Prof. Bala Ramadurai
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.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Feb 2022
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Enrollment : 14-Nov-2021 to 31-Jan-2022
Exam registration : 13-Dec-2021 to 18-Feb-2022
Exam Date : 27-Mar-2022
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