Kenneth Younge

EPFL CDM MTEI TIS
ODY 2 02 (Odyssea)
Station 5
CH-1015 Lausanne

Web site: Web site: https://www.epfl.ch/labs/tis/

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Administrative data

Fields of expertise

- Technology and Innovation Strategy
- Data Science
- Computational Law
- Intellectual Property
- Patenting
- Knowledge Spillovers
- Employee Mobility

Publications

Other publications

Teaching & PhD

Teaching

Management of Technology

PhD Programs

Doctoral Program in Technology Management

PhD Students

Hofer Maximilian Wieland,

Courses

Data driven business analytics


Technology & innovation strategy

Students will learn core concepts that can make innovation projects more successful and profitable, and to then apply those concepts to real business cases of known successes and failures with a focus on the economic and organizational conditions that advance technological innovation by firms

Data science for business

Students will learn the basic concepts of Data Science so that they can make better business decisions. Students will also learn how to apply these concepts to real programming problems.

Computational Methods for Doctoral Research in Management

The objective of this course is to introduce doctoral students to computational methods for research in management.