Business engineering is an interdisciplinary discipline that combines management, economics, computer science, mathematics and other disciplines. Generally speaking, the research content of business engineering is how to use engineering methods, such as modeling and simulation, to solve problems in business management.
Business administration is a common subject in many fields, and if you learn this knowledge, you will be able to find a job with a wide range of options. Because business administration is an engineering subject, it has high requirements for students' mathematical skills. The examination subjects are generally in the form of mathematics and professional courses, including operations research, economics, planning mathematics and science, human engineering, programming languages, etc.
Next, Koto will introduce the excellent laboratories of the Department of Business Administration Engineering from the University of Tokyo, Tokyo Institute of Technology, Waseda University, Keio University, and Aoyama Gakuin University for your reference.
The University of Tokyo, Graduate School of Engineering, specializes in technical strategy
Sakata, Mori, Asatani Laboratory
坂田一郎(Ichiro Sakata)、森純一郎(Junichiro Mori)、浅谷公威(Kimitaka Asasatan)
■Research Keywords:
Growth strategy, academic and industrial overview, buried knowledge, international research collaboration and innovation network in Asia, structuring of energy technology knowledge, clarification of the formation factors of regional clusters and regional regeneration, energy roadmap in the Mekong region
■Laboratory homepage:
Hattapus://vv. Saktalb. Tu-Tokyo. AC. JP/Research
■Papers and Research Achievements:
HTTPS://EB.O-TOKIO.ACJP/PEEBLE/ZAGATA-ICHIRO/
■Contact Email:
https://docs.google.com/forms/d/e/1FAIpQLSdqy1RRlwpU8HjNB--ZEzXUcu-T3DC4sesNmYmScp3tNvBUUQ/viewform (Application Form)
In our laboratory, we are promoting information on business management using data science (technology management), analysis related to human behavior (computational social science), and research on data science technology (computational linguistics) centered on language processing.
These fields are closely related to each other, and researchers are advancing their research through exchange and interaction. We have adopted a policy that respects students' autonomy in the choice of research topics.
As a result, the research topics in the laboratory are very diverse and cover a wide range of technologies, including machine learning (including deep learning and representation learning), natural language processing, complex network analysis, and more. You can visit the school at any time, and you can apply for it on the homepage of the laboratory.
Tokyo Institute of Technology, Faculty of Engineering
Kazuhide Nakata Laboratory
■Research Keywords:
Operations Research (运筹学), Machine Learning (机器学习), Optimization (优化), Numerical Analysis (数值分析), Computer Science (计算机科学)
■Laboratory homepage:
http://vv.ieee.e.titech.ac.jp/~nakquote/index.html
■Papers and Research Achievements:
Hutpas://researchmap.jp/read0102080
■Contact Email:
At Nakata Laboratory, research is conducted in the following three areas:1. Operations Research (オペレーションズ・リサーチ)2. Machine Learning3. Optimization (most adaptation) These areas are not completely independent and have many things in common.
In fact, it can be said that there has been a cross-cutting study between these fields. Nakata Lab offers two types of seminars, namely comprehensive seminars and round-reading seminars. There are usually 2 to 3 comprehensive workshops every six months. Rotational reading workshops once a month.
Waseda University, Faculty of Creative Science and Technology, Department of Management Systems Engineering, Production Systems Engineering Laboratory
谷水义 隆 (Yoshitaka Tanimizu) 研究室
■Research Keywords:
Social Security Systems Science, Intelligent Mechanics and Mechanical Systems, Mechanical Work and Production Engineering, Design Engineering and Mechanical Components and Tribology, Intelligent Machines and Mechanical Systems, Workshop Processing and Production Engineering
■Laboratory homepage:
Hatps://vv.f.waseda.jp/tanimizu/lab/
■Papers and Research Achievements:
Hatps://researchmap.jp/tanimiju-y
■Contact Email:
At present, with the application of IoT and artificial intelligence technology, the era of the fourth industrial revolution is coming. At the same time, the SDGs and the sharing economy are attracting attention around the world, and the traditional mass production and consumption society is gradually collapsing.
Under these circumstances, the trend of building cyber-physical systems that absorb information from physical space and generate homogeneous items in cyberspace is becoming active. In the Gushui Lab, the research goal is to construct optimization strategies based on data in cyberspace, using mathematical optimization methods and evolutionary calculation methods, and feeding them back into physical space.
Keio University opens up environmental science and majors in management engineering
Satoshi Kurihara Laboratory
■Research Keywords:
Swarm Intelligence, Complex Network Science, Innovative Systems, Environmental Computing
■Laboratory homepage:
Hattpus://vv.ai.comp.ae.ko.ac.jp/
■Papers and Research Achievements:
Hatps://k-ris.ko.ac.jp/html/100011483_j.html
■Contact Email:
Satoshi@কেইও.JP
In the future of an aging society with a declining birthrate, it is important to realize the symbiosis between humans and artificial intelligence (AI). Humans need to feel a sense of closeness and security towards AI, and establish a sense of distance and experience between humans and AI, with appropriate care.
This kind of AI needs to have a high degree of autonomy and versatility, and our laboratory is working to build an autonomous cognitive architecture (cognitive reactor/neuroreactor) with swarm intelligence, spontaneous mechanisms, and complex networks as the core.
Aoyama Gakuin University, Graduate School, Division of Science and Engineering, Department of Science and Engineering, Management Technology Course
石津 昌平(ISHIZU Syohei)研究室
■Research Keywords:
Quality information system research, development of TQM (Total Quality Management) concept, research of quality system, development of quality information system, development of TQM method, development of perceptual indicators using bioinformatics
■Laboratory homepage:
http://vv.ise.aoyama.ac.jp/author/ishiju-labo/
■Papers and Research Achievements:
https://raweb1.j.m.ayama.ac.jp/akakap/kakap?kojinit=apist
The research area of Ishizu Laboratory involves the construction of information systems in many companies. Especially in recent years, there has been an increasing number of information systems that process information on the quality of products and services. Proper use of quality information such as customer satisfaction, technology management, and market strategy is essential for business decision-making. The field of management has also gradually developed from quality management to comprehensive quality management (TQM).
Subsequently, it became necessary to develop TQM management concepts, quality system modeling, and theorization. Therefore, the research area of the laboratory covers the concepts and methods of TQM, as well as the information systems that support them, plus the fourth field of perceptual evaluation using bioinformatics.
The above is what we want to introduce today, those who have the need to apply for the exam hurry up and send a private message to Xiaoyuan~ We will carefully plan the examination plan according to the specific situation of each student, and do our best to help students pass the dream school!