Class introduction

INDEX
 

Class introduction

Found in Asia! data science

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.

web application
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.
Data Mathematics I

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

here is the point
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.
Machine learning and deep learning

Media programming I

here is the point
Challenge challenges with game development software Unity
Teacher in charge: HORI Gen
Learn about game development software Unity. In recent years, Unity has been used in a variety of situations, including the development of virtual reality (VR) content for industrial applications. You can learn the basics of Unity and 3D modeling, and also experience challenges in developing simple games and VR content.
Media programming I

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.
business model analysis
|STUDENT'S VOICE|
App development
Seriously!
Mr. K
3rd year, Faculty of Business Administration Administration Data Science Minor
# A man who spends half of the year abroad
Awakening to the fun of app development,
Started a business while in school and became president
I took on the challenge of developing an application for the first time in [Data Science Application Project I/II]. It was very interesting to give shape to my ideas, so I continued development beyond the framework of the class and started YOUPLAZA Co., Ltd. with the aim of putting it into practical use. At an on-campus event, I had the opportunity to talk with Mr. Hiroshi Mikitani, Executive chair, Board of Directors and CEO of Rakuten Group, Inc., and gained valuable experience.
App development

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.
A treasure trove of data “Sports” scientifically
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.
ISHIZUKA Takao Associate Professor
<Updated July 20, 2023>
Department of Data Science
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