In this course, you will gain a basic understanding of the core technologies of the Fourth Industrial Revolution and the competencies that students should gain, according to industry experts.
This course aims to introduce students to electronic systems composed of electronic components and the programming that controls them using Arduino and to allow students to experience the fun side of engineering in creating controlled electronic systems.
This course introduces the basic concepts of the design and improvement of management or production systems and the mindset and related techniques for establishing them, which are necessary for the cultivation of CEOs, and cultivates managerial aptitudes and practical application skills for technology-oriented engineering students who often lack management skills.
Students will be able understand the basic concepts of smart factory and the main technologies used.
This course is aimed at reinforcing basic mathematical rules by taking into account the different approaches to mathematics already learned in previous stages of education and establish a common foundation for further progress. Students familiarize themselves with mathematical terminology in preparation for further studies in science and technology, and study differential calculus for solving engineering problems.
Students will be able to understand and apply the principles and techniques related to research on methods and work measurement for the design and operation of efficient work systems.
Probability and statistics is a branch of mathematics that deals with uncertainty and is widely used in engineering as well as the humanities and social sciences. In this course, students will gain an understanding of the basic principles and concepts of probability and statistics as well as related theories necessary to complete the upper-level courses.
Students will be able to understand the algorithms used in data mining and how to utilize them to make data-driven decisions.
It covers various theories of human psychophysical cognition and engineering methods of measurement and analysis.
It covers various theories of human psychophysical cognition and engineering methods of measurement and analysis.
This course provides an overview of the techniques and applications required for economic assessments of various entrepreneurial and investment opportunities in the era of the Fourth Industrial Revolution and to make decisions based on them.
This course is aimed at reinforcing basic mathematical rules by taking into account the different approaches to mathematics already learned in previous stages of education and establish a common foundation for further progress. Students familiarize themselves with mathematical terminology in preparation for further studies in science and technology, and study differential calculus for solving engineering problems.
This course aims to foster problem-solving skills required in the era of the Fourth Industrial Revolution, with a combination of lectures and design classes to help students understand the actual field work and solve real-life problems using programming techniques. In particular, students learn the basics of simulation modeling with an understanding of the concept of object-oriented programming.
Probability and statistics courses are prerequisites for the advanced courses in Industrial and Management Engineering. In the Applied Statistics course, students learn how to organize and present statistical data, estimate the distribution and characteristics of a population based on the probability theory, and learn how to test hypotheses about the characteristics of a population.
In this course, students will learn how cutting-edge technologies emphasized in the Fourth Industrial Revolution are utilized in business strategy and operations. In particular, students will learn how to manage technology and innovation competency to improve corporate innovation capabilities as the core competencies of companies in the Fourth Industrial Revolution.
Sensitive engineering involves reflecting the characteristics of the human body and human emotions as much as possible in product design. In this course, students will learn the engineering approach to incorporate the hopes of humans or human emotions into a concrete product design.
In this course, students will study the basic concepts, solutions, applications, and examples of various mathematical planning models that fall under the deterministic model among the optimization models of operations research, and learn how to obtain and analyze optimal solutions using various online and offline programs for optimization techniques.
The aim is to understand the concepts and structure of database management systems and acquire the basic knowledge to design and implement them based on related principles and application methods.
This course focuses on the fact companies are building and utilizing databases in order to effectively manage the exponential growth of data in the era of the Fourth Industrial Revolution and extract the desired information from a plethora of data.
The goal is to understand the supply and demand relationships in the supply chain and study various network or systematic methodologies to establish optimal inventory management policies.
This course aims to foster problem-solving skills required in the era of the Fourth Industrial Revolution, with a combination of lectures and design classes to help students understand the actual field work and solve real-life problems using programming techniques.
The goal is to learn how to analyze a given system to measure, calculate, and evaluate reliability, and study various techniques to improve system reliability.
In this course, students will learn how to process different types of data from the field using statistical software and analyze the results to draw conclusions.
In this course, students will study the basic concepts, solutions, applications, and examples of various mathematical planning models that fall under the deterministic model among the optimization models of operations research, and learn how to obtain and analyze optimal solutions using various online and offline programs for optimization techniques.
Students will select factors that affect the characteristics of the product, plan experiments, obtain data, and analyze them to determine the optimal manufacturing conditions for the product.
This course focuses on the methods and theories necessary to safely and effectively design machines and products used in work environments or human life by considering major factors such as human physiology and physical traits in man-machine systems under appropriate conditions.
In this course, students will learn about the purpose of using various information systems such as MIS, ERP, SCM, CRM, and BI that are being utilized in companies in the era of the Fourth Industrial Revolution. In particular, they will learn how to collect and analyze user requirements in the development process of information systems, derive functions, and use creative methods to improve the business processes of companies.
This course covers solutions to optimize travel routes for vehicles and smart factory processes and how to streamline the flow of materials.
This course aims to foster human resources with a conceptual understanding of smart factories, which are the heart of the Fourth Industrial Revolution technology, and the ability to operate them. To this end, students will first learn how to configure and operate automated production systems at the level of the Third Industrial Revolution, and then learn how to make manufacturing systems smart by applying smart technologies (IoT, Big Data, AI, Cloud, etc.).
This course aims to foster human resources with a conceptual understanding of smart factories, which are the heart of the Fourth Industrial Revolution technology, and the ability to operate them. To this end, students will learn and practice the control mechanisms of process and logistics equipment and devices that comprise smart factories.
The goal is to gain an understanding of the statistical methodologies and analysis methods for conducting surveys and analyses such as rating scales and survey composition.
In this course, students will utilize and grasp different techniques for making data-driven decisions, learn algorithms used in data mining and how to utilize them, configure the environment for big data analytics, apply big data analysis methods, and utilize big data in decision-making.
This course provides students with a general understanding of how to improve and efficiently utilize facilities through understanding and acquiring techniques related to allocation of plant resources for customized production, decision-making on capital expenditure, and equipment utilization and conservation activities. In particular, through group activities, students will identify items that need to be analyzed, improved, and developed in the resource management system and derives effective ways to make improvements.
This is a capstone design course that is part of the Smart Factory Engineer Innovation Education curriculum. Each student will be able to develop problem-solving skills as a smart factory engineer through the process of discovering and solving problems in small groups. The course aims to provide students with a comprehensive understanding and application of the theoretical courses completed through the Innovation Curriculum, as well as demonstrations of the problem-solving process using lab facilities.
This course identifies different theories and applications of optimal decision making.
The explosive growth of the Internet population has led to the rapid growth of new online industries in various forms, including information sharing. In this course, students will learn to apply and utilize the techniques of industrial and management engineering such as marketing, demand forecasting, and operation research.
In this course, students will be able to cultivate the basic decision-making capabilities required for production managers and develop practical skills for production control in a smart factory environment based on an understanding of smart technologies (IoT, Big Data, AI, Cloud, etc.).
In preparation for the information and communication era of the 21st century, this course teaches students the basic concepts of information and communication and the information and communication network architecture. Students will also learn the approaches to design various information and communication systems and information and communication networks from the perspective of industrial engineering, as well as industrial engineering application and utilization techniques.
In this course, students will analyze the causes of various accidents and understand the various safety management techniques in order to reduce the frequency of industrial accidents and improve productivity.
The goal is to understand the concepts of product design and the product development process and learn related techniques.
Students will learn the techniques and develop practical skills related to consulting to evaluate and improve the management and operations of an enterprise or organization.
This course introduces investment options, including various financial instruments such as stocks, bonds, and derivatives, and the economic theory behind rational investing (utility function, portfolio theory, option pricing theory).
Students will gain an understand of sampling methods to determine information about the population, and compare the results of testing samples from a lot to the acceptance criteria for an economical assessment of conformity.
Students will learn about R&D organization design and operation, personnel, budget and accounting, information, and intellectual property management, R&D MIS, directions of the economy in the future, technological development, values of the future society and R&D, introduction and transfer technology, R&D commercialization strategies, laboratory culture and productivity, and research organization reengineering.
In the second semester of the fourth year, students who have found a job will build on the knowledge and experience gained in their studies to develop their workplace adaptability and technical skills through a semester-long fieldwork assignment. Six credits are awarded based on performance.
In the second semester of the fourth year, students who have found a job will build on the knowledge and experience gained in their studies to develop their workplace adaptability and technical skills through a semester-long fieldwork assignment. Six credits are awarded based on performance.
Based on the knowledge acquired in each field, students learn the process from product development to production by directly carrying out the design process of products, etc. That is, they will be able to hone their creativity, practical skills, teamwork skills, and leadership skills by designing, producing, and evaluating works that are actually needed by local industries.
Students apply the theories and practices learned in their studies in the workplace and analyze problems to develop the ability to apply them in the field.
Based on the knowledge acquired in each field, students learn the process from product development to production by directly carrying out the design process of products, etc. That is, they will be able to hone their creativity, practical skills, teamwork skills, and leadership skills by designing, producing, and evaluating works that are actually needed by local industries.
Through exchanges with overseas universities in regard to a wide variety of topics, this course helps students build their global competence and cultivate a interdisciplinary mindset.