Teaching objectives and curriculum structure

• Educational goals

1. Cultivate students to become talents with equal emphasis on theory and practice, as well as knowledge and technology of artificial intelligence
2. Cultivate students to become active and innovative talents who can apply artificial intelligence knowledge and technology to industry
3. Cultivate students with professional ethical attitudes and teamwork system integration talents
4. Cultivate students to have a self-sustaining learning attitude and pay attention to the international trend of information technology development and industrial applications

• Core competence

1. The ability to use mathematics, science and engineering knowledge to understand artificial intelligence and data science
2. The ability to design and execute experiments related to industrial foundations and to analyze and interpret data
3. The ability to design basic industrial components or process systems
4. The ability to implement program systems and use and integrate software and hardware platforms and network systems
5. The ability to discover, analyze, and apply data results and respond to complex and integrated engineering problems
6. The ability to recognize the impact of professional ethics of industrial artificial intelligence on society and responsibility
7. Understand the ability of project management, cross-domain integration and teamwork
8. In response to the rapid evolution of technology, the ability to self-sustainably innovate and understand the international trend of the industry

• Course structure

This course is based on the core competence development courses and modules required by graduates.
1. Mathematics and Physics Fundamentals Module Course
2. Information Engineering Module Course
3. Artificial Intelligence and Data Science Module Course
4. Chemical Process Module Professional Course
5. Professional Courses of Mechanical and Electrical Engineering Module

In addition, teachers will adopt practical and innovative teaching methods, replacing theoretical calculations with programming; teachers from the school’s AI research center will form an AI+X cross-domain dual teacher, and actual industry-university cases will be used as the subject matter of students’ cross-domain capstone topics ; Use the manufacturers of the AI ​​Research Center's industry-university program as the field for students' in-depth internships, hoping to nurture students to have the immediate ability to apply AI technology to specific professional fields when they graduate.

In addition, in order to enhance students’ international vision of AI applications and understand the international trends of the industry, this bachelor’s degree program will cooperate with the university’s sister school, the University of Cincinnati (UC), inviting top UC teachers to come to Taiwan or remotely teach, in addition to teaching students AI The latest technology and knowledge will enable students to achieve the 8th core competency.