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Deep Tech Entrepreneurship

Building Performance Simulation

 

Course Summary

This course provides aspiring deep tech entrepreneurs the knowledge and skills to scout opportunities, assess technologies, develop business models, secure funding, build teams, and manage risks. By learning best practices in deep tech commercialization, participants gain practical insights into launching successful ventures at the frontiers of science and technology.
The course covers topics like evaluating technical viability, crafting business plans, identifying funding sources, assembling skilled teams, and navigating regulations. It will focus on sustainable development challenges that can benefit from deep tech solutions.
 
 

Learning Outcomes

Upon completion of the course, participants will be able to:

  • Articulate the differences between deep tech and other startups
  • Understand socio-technical dynamics and innovation ecosystems
  • Scout and evaluate a deep tech business opportunity and technology readiness
  • Develop a technology commercialization strategy and business plan
  • Identify relevant stakeholders, partners, and resources to access
  • Assemble diverse, cross-disciplinary founding teams with necessary skills
  • Design experiments to resolve technical uncertainties and risks
  • Craft a compelling investment pitch deck and funding strategy
 
For more information on the course, please see the Course Handbook.

 

Course Instructors

Nicos Rossides

Nicos Rossides

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: +357 22 208 611

Konstantinos Kleovoulou

Konstantinos Kleovoulou
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: +357 22 208 660

Fabio Maria Montagnino

Fabio Maria Montagnino
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: +357 22 208 646

 

 

Course Timetable

Lecture  Date Time Instructor Venue
1st Thursday, 30/11/2023 10:00 - 14:00 Nicos Rossides Online
2nd Friday, 08/12/2023 14:00 - 18:00 Nicos Rossides Online
3rd Tuesday, 12/12/2023 14:00 - 18:00 Fabio Maria Montagnino Online
4th Thursday, 14/12/2023 10:00 - 14:00 Konstantinos Kleovoulou Online

 

Registration

Please fill in the Registration Form by Tuesday 28/11/2023.

 


 

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