Mathematics, Data Science, and AI Education Program
About the Mathematics, Data Science, and AI Education Program
In response to the demands of the digital era, we have established the "Mathematics, Data Science, and AI Education Program" Literacy Level. This program aims to ensure that all students acquire the fundamental knowledge and practical skills necessary to understand and utilize AI and data science.
By leveraging our online-based educational infrastructure, the curriculum fosters a basic understanding and the ability to apply these technologies. This program is positioned as a mandatory component of the curriculum, requiring all students to complete the program and earn credits before graduation.
Implementation Guidelines
Program Name
Mathematics, Data Science, and AI Education Program Literacy Level
Competencies Developed in the Program
The primary objective of this program is for students to understand AI and data science and to systematically acquire the fundamental skills to utilize AI as a tool for solving social and business challenges. Specifically, the program emphasizes the development of the following competencies:
1
Information Literacy
The ability to use ICT safely and effectively while appropriately collecting, organizing, and sharing information.
2
Mathematical Thinking and Data Interpretation
The ability to mathematically analyze and interpret challenges in modern society, including the correct interpretation of basic statistics and graphical data.
3
AI Utilization Skills
With a focus on the practical application of AI, students will learn to utilize generative AI according to specific objectives. Furthermore, the program fosters a responsible attitude toward the ethical and social implications of AI usage.
Completion Requirements
Students must earn all credits from the courses that constitute the program.
Program Courses
IT Literacy
Mandatory / 2 Credits / Intended for 1st-year students
Modern Society and Mathematics
Mandatory / 2 Credits / Intended for 1st-year students
Practical Application of Artificial Intelligence
Mandatory / 2 Credits / Intended for 1st-year students
Instructional Methods
The program is delivered via the "ZEN Study" learning system through pre-recorded on-demand lectures and real-time live-streamed sessions. Students must view each lecture and submit the required review reports. To earn credit, students must pass the credit certification exam or submit assignments by the deadline and achieve a score of at least 60 points based on the syllabus.
On-demand lectures allow students to watch at any time and review difficult sections repeatedly. Live sessions ensure interactivity by allowing real-time text comments. While these sessions are live, archived videos are available within a few days for review.
Additionally, students can post questions at any time, with all inquiries and responses shared among all participants. Academic advisors and teaching assistants provide support to ensure effective learning in both on-demand and live environments.
On-demand lectures allow students to watch at any time and review difficult sections repeatedly. Live sessions ensure interactivity by allowing real-time text comments. While these sessions are live, archived videos are available within a few days for review.
Additionally, students can post questions at any time, with all inquiries and responses shared among all participants. Academic advisors and teaching assistants provide support to ensure effective learning in both on-demand and live environments.
Administrative Structure
- Program Director: Dean, Faculty of Social Informatics
- Implementation, Verification, and Improvement: FDSD Promotion Committee
- Self-Assessment and Evaluation: Conducted by the Self-Assessment and External Evaluation Committee
Self-Assessment and Evaluation Results
Under Preparation
