electronic signature by the instructor:
course title：using generative ai for entrepreneurship and innovation
chinese: 运用生成式人工智能进行创业和创新
category：forefront disciplines and research methods
course code：df2458
credit：2
academic hours：32 h.
instructor’s information：
prof. minder chen
dr. minder chen received his b.s. in electrical engineering from national taiwan university in 1979, m.b.a. from national chiao tung university in 1983, and ph.d. in management information systems from the university of arizona in 1988.
dr. chen is currently full professor of management information systems in the martin v. smith school of business and economics, california state university channel islands (csuci). he served as the program chair of the business and economics program at csuci.
dr. chen has taught a variety of courses including management information systems, entrepreneurship, project management, and management at both undergraduate and graduate levels.his primary research interests include electronic commerce, business reengineering, innovation and entrepreneurship, collaboration technologies, and it offshore outsourcing.he has published more than 40 journal papers in journals such as journal of management information systems, decision support systems,journal of electronic commerce research, etc.he has also published several books in chinese, such as the book of changes and management, creativity, management information systems, and lean interactive startup.dr. chen is associate editor of the electronic commerce research journal and a keynote speaker at the 2019 smart enterprise information application development conference in taipei.
brief introduction of the course
this course is designed to equip aspiring entrepreneurs and innovators with the knowledge and skills necessary to leverage generative ai (gai) tools in their ventures. this course provides a comprehensive introduction to generative ai technologies and their applications in startup methodologies. participants will explore how ai tools can enhance creativity, streamline business model development, and foster innovative thinking. prompt engineering techniques for large language models (llms) such as chatgpt and bard as well as image generation tools such as dall·e 3 will be introduced. we will delve into various aspects of entrepreneurship, such as effectuation principles, the business model canvas, design thinking, and the customer development model. additionally, the course covers lean startup methodologies, prototyping, growth hacking, venture financing, and strategies for scaling businesses. through a combination of theoretical knowledge and practical exercises, students will gain a deep understanding of how generative ai can be a powerful copilot in entrepreneurial ventures. the course culminates in a group project presentation, where students will demonstrate their proficiency in applying generative ai techniques to real-world entrepreneurial challenges.
