AI and Entrepreneurship
*For the course on June 11, the ZOOM changes to 442 374 5045 (PW: BIMSA)*
Artificial intelligence is not only a technological revolution but also a fundamental shift in entrepreneurial logic and mindset. In an increasingly uncertain environment, understanding how to leverage AI to create sustainable commercial value has become a critical question in both entrepreneurial theory and practice.
This course is designed to help students with backgrounds in science and engineering develop a business-oriented mindset. It emphasizes the translation between "technical language" and "business language", as well as the process of transforming laboratory technologies into commercially viable products.
The course covers a range of topics, including identifying entrepreneurial opportunities, building entrepreneurial teams from a human-AI collaboration perspective, startup methodologies, AI agents and the token economy, business model design, strategic patenting of algorithms, project incubation, and financing strategies.
Artificial intelligence is not only a technological revolution but also a fundamental shift in entrepreneurial logic and mindset. In an increasingly uncertain environment, understanding how to leverage AI to create sustainable commercial value has become a critical question in both entrepreneurial theory and practice.
This course is designed to help students with backgrounds in science and engineering develop a business-oriented mindset. It emphasizes the translation between "technical language" and "business language", as well as the process of transforming laboratory technologies into commercially viable products.
The course covers a range of topics, including identifying entrepreneurial opportunities, building entrepreneurial teams from a human-AI collaboration perspective, startup methodologies, AI agents and the token economy, business model design, strategic patenting of algorithms, project incubation, and financing strategies.
Lecturer
Date
16th April ~ 11th June, 2026
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Thursday,Friday | 13:30 - 16:05 | A14-201 | ZOOM 2 | 638 227 8222 | BIMSA |
Audience
Undergraduate
, Advanced Undergraduate
, Graduate
, Postdoc
, Researcher
Video Public
No
Notes Public
No
Language
Chinese
Lecturer Intro
Yajuan Wang is an assistant professor at Beijing Institute of Mathematical Sciences and Applications. Her research spans strategic management, human resources, venture capital and finance, focusing on AI applications in dynamic competition, corporate innovation, and employee management. Dr. Wang has published more than 10 articles in academic journals. She has also developed over 10 MBA/EMBA teaching cases, based on in-depth interviews with more than 30 companies.