*For enrollees from 2022 onwards

　At our university, we have set up the following educational programs so that undergraduate students can increase their interest in mathematics, data science, スポーツくじ, etc., and systematically acquire the necessary knowledge and skills.

Ministry of Education, Culture, Sports, Science and Technology Mathematics, Data Science, スポーツくじ Education Program Certification System (literacy level)

This program has been accredited by the Ministry of Education, Culture, Sports, Science and Technology's "Mathematics, Data Science, スポーツくじ Education Program Accreditation System (literacy level)" (certification expiration date: March 10, 3).

• Contents of application to the university's accreditation system

1.Name and outline of the educational program

(1) Name	"Mathematics, Data Science, スポーツくじ Education Program (literacy level)"
(2) Outline	A mathematics, data science, and スポーツくじ education program (literacy level) will be set as a common undergraduate education program for the entire university, and a certificate of completion will be issued to those who complete this program. In addition, this program is a literacy program that forms the basis for learning mathematics, data science, and スポーツくじ. educate.

2.Course subjects and completion requirements

Class subject	school year	unit	Completion requirements
Introduction to スポーツくじ Science A	1	1	Acquire credits by completing two courses.
Introduction to スポーツくじ Science B	1	1

3.Abilities that students can acquire

(1) "Introduction to スポーツくじ Science A"

1. Know the impact on society and understand the significance of learning mathematics, data science, and スポーツくじ.
2. Learn about the latest trends in data and スポーツくじ research and use.
3. Know the types of スポーツくじ and how they are collected.
4. Know the application areas of data and スポーツくじ.
5. Learn about specific data and スポーツくじ utilization and development cases.In particular, learn about the use cases of data and スポーツくじ in the ocean.
6. Understand ethical, legal, and information security issues in data and スポーツくじ utilization.

(2) "Introduction to スポーツくじ Science B"

1. Understand the basics of statistics, visualization, and methods for handling スポーツくじ.
2. Get an overview of technologies for data and スポーツくじ utilization.
3. Know the process of learning a model from スポーツくじ.

Four.Positioning of this program in mathematics, data science, and スポーツくじ education

　Mathematics, data science, and スポーツくじ education following the literacy level can be organized as follows, so please refer to it for future learning.

1. スポーツくじ Representation and Algorithms: "Mathematical Basics (Statistical Mathematics, Linear Algebra, Calculus)", "Algorithms", "スポーツくじ Representation", "Programming Basics"
2. スポーツくじ/Data Science Fundamentals: "スポーツくじ Fundamentals", "Data Science Fundamentals", "Machine Learning Fundamentals and Prospects", "Deep Learning Fundamentals and Prospects"
3. スポーツくじ/Data Science Practice: "Data Engineering Fundamentals", "Data/スポーツくじ Utilization Planning/Implementation/Evaluation"
4. Advanced mathematics: "statistical mathematics", "linear algebra", "calculus"
5. Fundamentals of スポーツくじ Application: "Machine Learning", "Deep Learning", "スポーツくじ Technology Related to Intellectual Activities"
6. スポーツくじ Science Applied Basics: "スポーツくじ Handling", "Learning Analysis", "Optimization"
7. スポーツくじ Engineering Applied Fundamentals: "スポーツくじ Engineering", "Various Libraries and Frameworks"

Five.Results of self-inspection and evaluation

• FY2024 Self-Inspection and Evaluation Report
  
  

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