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Mathematics, Data Science, AI Education Program
Mathematics, Data Science, AI Education Program

リテラシーレベル

Mathematics, Data Science, AI Education Program

From 2022, Teikyo University has launched the "Mathematics, Data Science, and AI Education Program" with the aim of acquiring knowledge and skills in mathematics, data science, and AI at the literacy level. This program places subject subjects in the curricula of all faculties and departments, and can be taken regardless of which faculty or department you belong to.

Program overview

To increase students' interest in mathematics, data science, and AI, and to develop basic skills to properly understand and utilize mathematics, data science, and AI.

Purpose of the program

On August 25, 2023, this program was certified by the Ministry of Education, Culture, Sports, Science and Technology "Mathematics, Data Science, AI Education Program Certification System (literacy level)".

logo

(Approval deadline: Until Friday, March 31, 2028)

Ministry of Education, Culture, Sports, Science and Technology "Mathematics, Data Science and AI Education Program Certification System"

"Mathematics/Data Science/AI Education Program Certification System (literacy level)" application form

Notification of changes to the "Mathematics, Data Science, and AI Education Program Certification System (Literacy Level)"

Abilities that can be acquired through this educational program

  1. Can explain how data science and AI are utilized in society and specialized fields in the digital society.
  2. You can use various knowledge and skills related to data science and AI in your daily life and professional life.

Program Subjects and Completion Requirements

Acquire all the credits for the courses that make up this program in each undergraduate department

<Students admitted after 2023>

Undergraduate Departments subject name Number of units
School of Medicine Department of Medicine Introduction to Data Science and AI 2
Faculty of Pharmaceutical Sciences Department of Pharmaceutical Sciences
Faculty of Medical Technology Department of Orthoptics, Department of Nursing, Department of Radiological Technology
Department of Clinical Laboratory Science, Department of Sport and Medical Science, Department of Judo Therapy
Faculty of Economics Department of Economics, Department of International Economy, Department of Regional Economics
Department of Business Administration, Department of Tourism Management
Faculty of Law Department of Department of Law of Department of Political Science
Faculty of Liberal Arts Department of Department of Japanese Cultures of Department of History of Department of Sociology of Department of Psychology
Faculty of Language Studies Department of Department of Language Studies of Department of Global Japanese Studies
Faculty of Education Department of Department of Education and Culture of Department of Elementary Education
Faculty of Science and Engineering Department of Mechanical and Precision Systems, Department of Aerospace Engineering
Department of Information and Electronic Engineering, Department of Biosciences
Department of Information Science (Correspondence Course)
Faculty of Fukuoka Medical Technology Department of Physical Therapy, Department of Occupational Therapy, Department of Nursing
Department of Radiological Technology, Department of Medical Technology

<Students enrolled in 2022>

Undergraduate Departments subject name Number of units
School of Medicine Department of Medicine medical statistics 2
Faculty of Pharmaceutical Sciences Department of Pharmaceutical Sciences
Faculty of Medical Technology Department of Orthoptics, Department of Nursing, Department of Radiological Technology,
Department of Clinical Laboratory Science, Department of Sport and Medical Science Emergency Medical Technician Course
Department of Sport and Medical Science Sports Health Course
Department of Sport and Medical Science Top Athlete Course
Department of Judo Therapy
Introduction to Data Science and AI 2
Faculty of Economics Department of Economics, Department of International Economy, Department of Regional Economics
Department of Business Administration, Department of Tourism Management
Faculty of Law Department of Department of Law of Department of Political Science
Faculty of Liberal Arts Department of Department of Japanese Cultures of Department of History of Department of Sociology of Department of Psychology
Faculty of Language Studies Department of Department of Language Studies of Department of Global Japanese Studies
Faculty of Education Department of Department of Education and Culture of Department of Elementary Education
Faculty of Science and Engineering Department of Department of Mechanical and Precision Systems, Department of Department of Aerospace Engineering,
Department of Department of Information and Electronic Engineering, Department of Department of Biosciences,
Department of Information Science (Correspondence Course)
Faculty of Fukuoka Medical Technology Department of Department of Physical Therapy of Department of Occupational Therapy Medical Information Processing Exercise I?II 1 each
Department of Department of Nursing of Department of Radiological Technology Information processing exercise 1
Department of Medical Technology Information Processing Exercise I?II 1 each

Please check the web syllabus for details of each course.

WEB syllabus

Eligibility Requirements

Students enrolled in Teikyo University faculties after 2022

Program implementation system

Program implementation system

program manager

Dean of Faculty of Science and Engineering and Engineering

System for improving and evolving the program

Mathematics/Data Science/AI Education Study Working Group

System for self-inspection and evaluation of programs

Mathematics/Data Science/AI Education Study Working Group

Member of Mathematical Science/Data Science/AI Education Study Working Group

Chair: Faculty of Science and Engineering
Members: Full-time faculty members selected from each campus

Matters to be discussed by the working group for mathematics, data science, and AI education

  1. Matters related to planning, drafting, and implementing mathematics, data science, and AI education programs.
  2. Matters concerning the improvement of mathematics, data science, and AI education programs.
  3. Self-inspection and self-evaluation related to quality assurance of mathematics, data science, and AI education programs at the university.
  4. Other matters related to the dissemination and development of mathematics, data science, and AI education throughout the university.

Self-check/evaluation

2022 “Mathematics/Data Science/AI Education Program” Self-Check/Evaluation Report

FY2023 "Mathematics, Data Science, and AI Education Program" Self-Inspection and Evaluation Report

応用基礎レベル

Mathematics, Data Science, and AI Applied Basic Education Program (Faculty of Science and Engineering)

Teikyo University has launched the "Basic Education Program in Mathematics, Data Science, and AI Applications (Faculty of Science Faculty of Science and Engineering)" for Faculty of Science and Engineering from 2023 with the aim of acquiring basic applied level knowledge and skills in mathematics, data science, and AI. This program is available only to students belonging to each department of the Faculty of Faculty of Science and Engineering.

Program overview

Students will develop practical problem-solving skills by properly understanding mathematics, data science, and AI and utilizing them.

Purpose of the program

This program was certified by the Ministry of Education, Culture, Sports, Science and Technology's "Mathematics, Data Science and AI Education Program Certification System (Applied Basic Level)" on August 27, 2024.

logo

(Certification deadline: Saturday, March 31, 2029)

Ministry of Education, Culture, Sports, Science and Technology "Mathematics, Data Science and AI Education Program Certification System"

"Mathematics, Data Science, and AI Education Program Certification System (Applied Basic Level)" Application Form

Abilities that can be acquired through this educational program

  1. Ability to carry out the hypothesis verification cycle (data collection, extraction, and analysis) of optimal data analysis according to purpose
  2. Ability to use AI technology to solve problems

Program Subjects and Completion Requirements

Acquire credits for courses set by your department.

Mechanical and Precision Systems

Students will complete 19 credits from the following 10 subjects.

Required Courses subject name Number of units
Compulsory Introduction to Data Science 1
linear algebra
Data Structures and Algorithms
Image Information Processing
artificial intelligence
Mathematical Statistics
Basic Mathematics
Calculus 1
Programming Exercises
2 of each
Optional compulsory Multimedia Information Processing
Measurement Theory
2

Department of Aerospace Engineering

Students will complete 17 credits from the following 9 subjects.

Required Courses subject name Number of units
Compulsory Introduction to Data Science 1
linear algebra
Data Structures and Algorithms
Image Information Processing
artificial intelligence
Mathematical Statistics
Calculus
Information Fundamentals 2
2 of each
Optional compulsory Multimedia Information Processing
Measurement Theory
2

Information and Electronic Engineering

Students will complete 21 credits from the following 11 subjects.

Required Courses subject name Number of units
Compulsory Introduction to Data Science 1
linear algebra
Data Structures and Algorithms
Image Information Processing
artificial intelligence
Mathematical Statistics
Basic Mathematics
Calculus 1
Programming 1
Programming 2
2 of each
Optional compulsory Multimedia Information Processing
Measurement Theory
2

Biosciences

Students will complete 17 credits from the following 9 subjects.

Required Courses subject name Number of units
Compulsory Introduction to Data Science 1
linear algebra
Data Structures and Algorithms
Image Information Processing
artificial intelligence
Mathematics 1
Mathematics 2
Programming Exercises
2 of each
Optional compulsory Multimedia Information Processing
Measurement Theory
2

Department of Information Science (Correspondence Course)

Students will complete 21 credits from the following 11 subjects.

Required Courses subject name Number of units
Compulsory Introduction to Data Science 1
linear algebra
Data Structures and Algorithms
Digital Signal Processing
Image Information Processing
artificial intelligence
Mathematical Statistics
Basic Mathematics
Calculus 1
Programming 1
Programming 2
2 of each

Please check the web syllabus for details of each course.

WEB syllabus

Eligibility Requirements

Students enrolled in Teikyo University's Faculty of Science and Engineering in 2022 or later

Program implementation system

Program implementation system

program manager

Dean of Faculty of Science and Engineering and Engineering

System for improving and evolving the program

Mathematics/Data Science/AI Education Study Working Group

System for self-inspection and evaluation of programs

Mathematics/Data Science/AI Education Study Working Group

Member of Mathematical Science/Data Science/AI Education Study Working Group

Chair: Faculty of Science and Engineering
Members: Full-time faculty members selected from each campus

Matters to be discussed by the working group for mathematics, data science, and AI education

  1. Matters related to planning, drafting, and implementing mathematics, data science, and AI education programs.
  2. Matters concerning the improvement of mathematics, data science, and AI education programs.
  3. Self-inspection and self-evaluation related to quality assurance of mathematics, data science, and AI education programs at the university.
  4. Other matters related to the dissemination and development of mathematics, data science, and AI education throughout the university.

Self-check/evaluation

FY2023 "Basic Education Program in Mathematics, Data Science, and AI Applications (Faculty of Science and Engineering)" Self-Inspection and Evaluation Report