Technology Innovation (Cognitive and Smart Systems)

Course Description: 

Core for MS in Technology Management and Innovation

Elective for MS in Business Analytics

In recent decades, technology has become one of, if not the primary, most important factors to fuel progress and economic growth. The main driver that enables these positive changes is innovation. Technology innovation is widespread, and its pace is extraordinary. To benefit from its advantages one should familiarize with its nature and understand its attributes.

This course intends to introduce important approaches to technology innovation, analyze key ICT innovation trends from a strategic perspective and discuss questions of managing innovation.

Students will gain an understanding of innovation concepts, terminology and current trends. They will be able to evaluate ideas based on their innovative value, feasibility and viability and also to make reasonable decisions using modeling and analysis. Well-established reasoning for either the owner of the idea or owner of the project is essential when it comes to deciding whether and how to pursue an innovation task. Students will also practice critical thinking and learn how to gather and purposely use qualitative and quantitative methods to assess and facilitate innovation.

Learning Outcomes: 

At the end of the course students will gain an understanding of and familiarity with:

  • The central concepts in innovation, like innovation cycles, sustained, disruptive and open innovation, hypes, the diffusion model and tipping points.
  • Critical TI components like the third platform (cloud computing, Big Data and the power of social and mobile computing)
  • Smarter Planet, smarter solutions
  • Startups, Open Innovation and API Economy
  • Artificial intelligence, smart systems and the cognitive era, IoE and mesh computing.
  • Future trends based on technology outlooks – where are we now and where are we heading
  • Applicability of the techniques based on examples of significant ICT companies, from startups to industry leaders like Apple, IBM, Google, Amazon and others
  • You will be able to critically analyse, even practice “how to enable” innovation

Grading is based on the following evaluation elements:

  • Individual project paper                                                              50 %
  • Class attendance and participation                                           26 %
  • Minute papers    (best 3 out of 4 @ 8 points)                           24 %

 The grading scale baseline is the following:










Very Good









Minimum Pass





The above table serves as a generic example of the scaling applied: in line with the CEU grading policies the instructor reserves the right to adjust the scale, that is, to grade on a "curve", should he find that significantly more than the usual number of students would not pass the course under the indicated grading scale or should the distribution of the grades represent an unrealistic pattern.


Some experience in marketing and technology are advantageous.