This course is focused on innovation system, how they can be decomposed for critical analysis and management. The course was designed and developed for students and graduates of engineering majors to equip them with knowledge and skills on innovation systems of different levels and technological development. It aims for understanding of today’s importance of innovation in business environment and draws attention to interconnection of innovation policies and innovation activities of all levels (from global to local) in innovation systems.
The course's takeaways for the learners are:
(1) tools and approaches for holistic understanding of innovation and technological development of countries and regions;
(2) skills in systems analysis, complex problem solving and critical thinking while understanding innovation systems around us.
Upon successful completion of the course, the learners will be expected to be able to:
LO1. Apply systems analysis by exploring innovation systems of different levels to determine dynamics in innovation systems change
LO2. Differentiate societal and economic context of innovative development of countries, regions and territories to interpret the relations between components of innovation systems of different levels
LO3. Select and compare innovation metrics and reflect on innovation systems performance
LO4. Evaluate the role of innovation on micro, meso and macro levels of economic performance in the framework of technological development
LO5. Design the institutional profile of the national innovation system to critically assess innovation systems functions and dysfunctions
LO6. Complete a SWOT analysis to evaluate the national innovation system and provide recommendations for improvement of national, regional, sectoral innovation policies and innovative industries performance
Expected Prior Knowledge
BSc degree in engineering related field is desired, but no strict prerequisites are required for the course.
Irina is an Associate Professor at Innovation Management Department of Tomsk State University of Control Systems and Radioelectronics and an Associate Professor at School of Engineering Entrepreneurship of National Research Tomsk Polytechnic University (Tomsk, Russia). She has a scientific degree of Cand. Sci. in Economics. Her area of specialization is innovation management, innovation systems, entrepreneurial universities, triple helix model, regional dimension of innovation, innovation statistics, innovation and technology policies.
Course Content and Structure
The course includes the following modules:
Part 1. Systems in Social Sciences and Humanities.
Part 2. National Systems of Innovation.
Part 3. Innovation Activity in Regions and Territories through Regionalization and Localization Theories
Part 4. Measuring Innovation: Statistics and Multi-faceted Approaches.
Part 5. Technological Trajectories of National Systems of Innovation: from Assessments to Foresights.
Assessment Methods and Weighting Scheme
The learners will be assessed through:
Forum discussion 15%
Reflection notes 20%
Course project 40%
Recommended Readings and Other Learning Resources and Tools
Basic readings and study materials are provided in each module of the course.
Language of Instruction
Frequently Asked Questions
What web browser should I use?
The Open edX platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari. See our list of supported browsers for the most up-to-date information.
What is flipped learning?
It is an approach in pedagogy and andragogy that assumes the inversion of conventional in-class learning to introduce learning materials before classroom studies to enhance learners' understanding through pre-class and in-class work with peers and instructors.
What is blended learning?
It is a hybrid approach that combines e-learining and traditional in-class learning.
Introductory video to the course
Welcome to the course "Innovation Systems and Technological Development"