E-mail: formacaoavancada.porto@ucp.pt
Tel: 22 619 62 02
2ª a 5ª: 9h30-12h30 e 14h30-17h30
6ª: 9h30-12h30 e 14h30-19h00
Sáb: 9h30-12h30
Contactos
Mais Informação
Dates
April 2024: 12, 19 and 26
May 2024: 3, 17, 24 and 31
June 2024: 7 and 14
Shedule
Fridays: 8:00 am - 5:00 pm
(8 and 6 hours workload)
Format
Online
ECTS
10
More Information:
Estudos Avançados e Formação
E-mail: formacaoavancada.porto@ucp.pt
Telefone: +351 22 619 62 02
- Introduction to 4 Deep Tech areas (Biotechnology, Artificial Intelligence and Machine Learning, Robotics, and Clean Technologies), and their application in the agri-food sector and waste valorization.
- Selection of 1 Deep Tech area (Biotechnology, Artificial Intelligence and Machine Learning, Robotics, or Clean Tech) for a specialized training in the preferred Deep Tech field.
- Companies in the agri-food sector present real problems from their businesses to be solved by students, in groups, using Deep Tech-based solutions.
- Steps and tools for the development of a Deep Tech solution: entrepreneurs' stories and their startups; Deep Tech business ventures, business plan concepts, AI tools, digital platforms, Open Innovation strategies and guidelines for the perfect pitch.
- Overview of Life Cycle Analysis (LCA) methodologies associated with Deep Tech solutions.
Contactos
Mais Informação
Dates
April 2024: 12, 19 and 26
May 2024: 3, 17, 24 and 31
June 2024: 7 and 14
Shedule
Fridays: 8:00 am - 5:00 pm
(8 and 6 hours workload)
Format
Online
ECTS
10
More Information:
Estudos Avançados e Formação
E-mail: formacaoavancada.porto@ucp.pt
Telefone: +351 22 619 62 02
Contactos
Mais Informação
Dates
April 2024: 12, 19 and 26
May 2024: 3, 17, 24 and 31
June 2024: 7 and 14
Shedule
Fridays: 8:00 am - 5:00 pm
(8 and 6 hours workload)
Format
Online
ECTS
10
More Information:
Estudos Avançados e Formação
E-mail: formacaoavancada.porto@ucp.pt
Telefone: +351 22 619 62 02