Nanjing University’s Curriculum for “1+X+Y” Core General AI Courses

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In 2024, Nanjing University introduced the three-tiered “1+X+Y” curriculum to train future leaders with data, computational, and intelligent thinking. This curriculum equips every student at the university to navigate the challenges of the AI era and succeed in their specific domains. The “1” in “1+X+Y” refers to a core general AI course, led by eminent AI scholars such as Prof. Tan Tieniu, a Chinese Academy of Sciences fellow, and Prof. Zhou Zhihua, a European Academy of Sciences fellow. This course adopts a teaching model that integrates collective lectures, small group seminars, internships, and AI teaching assistants, aiming to spark students’ interest in AI, impart fundamental concepts, and foster a proper understanding of the AI era. Tailored to diverse majors, the course engages students in discussions on intriguing questions like “How does AI perceive the world?” and “In what ways could AI surpass human capabilities?,” thereby prompting them to demystify AI. The “X” represents over 100 interdisciplinary AI literacy courses designed for broader learning. The primary goal is to help lower-year students expand their understanding and perspectives on AI. These courses cover fields such as natural sciences, digital humanities, digital economics, and social sciences. Notable examples include “Learning and Research within an AI Context” at the School of Business, “Programming Driven by AI” at the Software Institute, and “Human Languages and LLMs” at the School of Foreign Studies. The courses aim to meet the advanced requirements of students from various majors and enhance their comprehension of AI’s role in their specific areas of interest. Furthermore, the School of Artificial Intelligence offers seven systematic courses focusing on AI application skills, which are accessible to all students at Nanjing University. The “Y” represents advanced courses that integrate AI deeply across various disciplines, primarily targeting upper-year students. These courses follow a “lecture + project” model, allowing students to engage in hands-on activities and deep interaction. Students also have the opportunity to participate in cutting-edge research projects at key laboratories and leading enterprises. The courses aim to enhance students’ ability to address complex challenges across disciplines in the forthcoming AI era, while also cultivating their leadership and entrepreneurial spirit.

Course Case Studies