Class introduction

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Class introduction

Media programming I・II

here is the point

Through game development
Have fun learning programming

Instructor: Tomoya Igarashi
In "Media Programming I & II," students develop games using world-standard 3DCG software and game engines. By writing their own programs to move characters and items in the game, they hone their programming skills while having fun. In game development, things often don't work as expected. By first giving hints rather than immediately teaching students the solution, students develop the ability to search for information and think for themselves. This attitude will be useful even after they enter society.

Data Science and Top Management Special Lecture

here is the point

The ability to utilize data science in the business world
On-campus internships to hone your skills

Instructor: ISHIZUKA Takao
This project-based learning aims to connect the study of data science with the workplace. In 2024, the first half of the course was titled "Discovering and Enlightening from Newspaper Article Data," while the second half was titled "Designing the Next Generation of Newspapers." A major newspaper company and design thinking professionals were invited to participate in the team-based, hands-on workshop-style class. Students mobilized all the knowledge and skills they had learned up to that point to create prototypes, which they then presented at a presentation competition. This class is a hands-on learning experience that begins with Lecture by top industry leaders.

Data Science Colloquium II

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Through a survey
Visualize your data

Teacher: Kiyoka Arai
In "Data Science Colloquium II," students will learn the basics of survey research. In groups, they will work through the entire process, from survey design and question writing to conducting the survey and compiling and analyzing the responses. Through the experience of collecting data themselves, students will acquire survey literacy and understand the relationship between question writing and the information obtained from it. This will enable them to handle data more clearly when learning data analysis methods and actually analyzing and interpreting data.

Introduction to data science

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Data Science
Learn the basics and practice

Instructor: HIRAOKA Kazuyuki
In "Introduction to Data Science," students will learn the skills of handling data, selecting algorithms, and interpreting results, which are fundamental for applying data science in various fields, through Seminar using real data. Students will acquire a way of thinking that will allow them to adapt not only to currently popular tools but also to future changes. The goal is to be able to collect data themselves, process it correctly using the programming language Python, and create graphs in an easy-to-read format. The sense of accomplishment when you create something with your own hands is all the more special.

web application

here is the point

To survive in the information society
Learn how web content and search systems work

Teacher in charge: AGATA Teru
I have been involved in the construction of search engines for academic information, electronic election and publication application systems, etc. from an information science perspective. Utilizing that knowledge, I was in charge of Seminar on basic skills such as HTML, knowledge about servers, and applications that utilize browsers and web APIs. You will develop the ability to create web services and applications while making good use of open data and web APIs published in the world. Let's work together to acquire the skills to navigate the ocean of information.

Subjects that solidify the foundation

Programming language I
Using Python, learn the basics of programming from the beginning.
programming language II
Practical learning of Python's representative libraries and programming techniques required for machine learning.

Data Mathematics I

here is the point

Knowledge of physics and mathematics that we have been working on for many years
I will explain for beginners

Instructor: YOSHIDA Ritsu
We teach about quantum computers, which have been a hot topic in recent years, and quantum cryptography, which in principle cannot be broken. In addition, the course [Data Mathematics I] that I am in charge of deals with linear algebra necessary for data science. This is an important concept connected to machine learning, voice data analysis, etc. Drawing on his many years of experience in physics and mathematics, he provides explanations that even students who are not good at mathematics can understand.

Introduction to Artificial Intelligence I

here is the point

Be able to explain artificial intelligence

Teacher in charge: TOJO Satoshi
This course is for understanding the overall picture of artificial intelligence. First, we will consider how computers imitate human intelligence, and then we will learn about various methodologies for machine learning. Then, we will consider recognition models for speech, images, language, etc. that can be realized using the latest technology in artificial intelligence.

Introduction to Artificial Intelligence I

Machine learning and deep learning

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Acquire skills to master machine learning

Teacher in charge: HIRAOKA Kazuyuki
Mechanical learning is a field of artificial intelligence that involves finding rules and regularities from given data. Deep learning is a mechanical learning method that has been increasingly put into practical use in recent years. In this course, you will learn the basics of machine learning and deep learning, and also take on challenges using the programming language Python.

business model analysis

here is the point

Build a new business model by making full use of data

Teacher in charge: MURAKAMI Yoshiki
A business model is a system by which a company continuously generates sales and profits in a specific business. In this course, you will develop the knowledge to build and generate excellent business models from a wealth of examples and theories. Through data science, you will acquire the skills to transform your entire business.

Project type course

Practical learning of front-line skills

Game development and metaverse construction in Unity

We are focusing on developing human resources who can use the game development tool Unity. [Data Science Application Project II] uses Unity to develop an AR app for iPhone and to build "Asia University Metaversity."
For over five years, many students have been modeling each building as part of a project to create a "digital twin" that reproduces the real campus on the metaverse.

Unity

Game development and metaverse construction in Unity

A treasure trove of data “Sports” scientifically

“Sports” is a treasure trove with a large amount of accumulated data. The field of sports data science has developed since the introduction of statistics into baseball strategy planning. A student who analyzed soccer data in [Data Science Application Project II] created a unique analysis program in Java. Using spatio-temporal data from 1,400 matches, we analyzed pass accuracy and other factors. I plan to continue working on sports data science as a project-type course.

ADVICE

With a curriculum that nurtures management mindset and digital skills,
To DX human resources who do not fade

Teacher in charge: ISHIZUKA Takao
The special feature of our university's curriculum is that students learn basic skills such as Python and applied fields such as natural language processing and music information processing, and acquire practical skills that can be used in the field. Also, by learning business administration and data science at the same time, you will develop a mindset that connects business and data science. By possessing these strengths, you will be able to continue to be a value-added DX person even if digital technology itself becomes commonplace.

Department of Data Science

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