1.Name and outline of the educational program

(1) Name

"Mathematics, Data Science,AIEducational Program (Applied Basic Level)

(2) Outline

As a university-wide undergraduate education program,AIAn educational program (applied basic level) will be established and a certificate of completion will be issued to those who complete the program. 　This program is focused on mathematics, data science,AIThis is a program on applied basics following the educational program (literacy level), and by learning application examples,AIThis course provides training to help students understand the basic concepts and techniques of the technology.

2.Course subjects and completion requirements

Mathematics, Data Science,AIIn addition to completing the educational program (literacy level), students will be considered to have completed the program if they meet the following requirements: For subjects outside of their department, students must take courses offered by other faculties and departments through the course registration system.

Class subject	Departments	school year	unit	Completion requirements	Remarks
Data Science (※)	Department of Marine Environmental Science	3	2	Acquire credits by completing two courses.
Data Science (※)	Undergraduate Course of Logistics and Information Engineering	3	2		If you are taking courses in other faculties or departments, you can take the course in your second year.
Data Science Exercises (2023(Students enrolled before the current academic year)	Undergraduate Course of Logistics and Information Engineering	2	1	Acquire credits by completing two courses.	If you are taking classes in other faculties or departments, you can take the class remotely.
Data scienceAIPractice (2024(Students enrolled after the academic year)		2	2

3.Abilities that students can acquire

(1) "Introduction to Data Science"A(Part related to applied basic level)

1. Understand the significance of learning data science.
2. Understand the evolution of AI and its technical background.
3. Understand rights and ethics when applying AI.

(2) "Introduction to Data Science"B(Part related to applied basic level)

1. Understanding the fundamentals of data analysis
2. data·AIUnderstand the basics of programming required for utilization

(3) "Data Science"

Understand the basic concepts and methods of data science by studying application examples.

1. Understand the overview of technologies for collecting, processing, and storing data.
2. Understand the basics of data representation for handling data on a computer.
3. Understand the basic concepts of machine learning, deep learning, and reinforcement learning.
4. pluralAIThe technologies are combinedAIServices/Be able to explain examples of systems.

(3) "Data Science"

By studying application examples, you will understand the basic concepts and methods of AI.

1. Understand the overview of technologies for collecting, processing, and storing data.
2. Understand the basics of data representation for handling data on a computer.
3. Understand the basic concepts of machine learning, deep learning, and reinforcement learning.
4. pluralAIThe technologies are combinedAIServices/Be able to explain examples of systems.

Five.Results of self-inspection and evaluation

• FY2024 Self-Inspection and Evaluation Report