Industrial and Management Engineering
Course Descriptions

Engineering Statistics & Lab
Studies basic probability and statistics, sampling, inference, and hypothesis verification employed in the analysis of data generated from industrial processes. Examines the correlation among various variables, the theories related to regression analysis, and the techniques of statistical package use.

Telecommunication and Information Technologies
Students gain basic knowledge of telecommunication and information processing technologies, which is an important foundation for modern corporate management. Key contents include the Local Area Network (LAN), wireless telecommunication networks, the Internet, databases, and information systems.

Data Structure & Algorithm
Students will study basic data concepts and data structures, including lists, stacks, and queues. They will also build basic algorithms related to industrial information engineering.

Object-Oriented Programming & Lab
Follows the Computer Programming and Lab course. Studies Java, an object-oriented language, and practices Java programming.

Production Planning & Control
Examines the basic concepts and theories relating to demand prediction, resource planning, inventory management, scheduling, and process management applied in all aspects of planning and control of product and service production activities.

Database Applications & Lab
In order to successfully build information systems, an accurate understanding of data management techniques is required. This course will look into SQL and basic theories, using DBMS, such as that of Oracle. In addition, students will practice building information systems using 4GL (Fourth Generation Language), such as Developer 2000.

Operations Research
Studies deterministic optimization theories and algorithms centered on linear planning and networks. Examines how to model a given problem and find its solution.

Enterprise Information Systems
This course teaches theories on strategies, roles, functions, and technologies of information systems used in modern corporate management, and also reviews relevant techniques, such as MIS and ERP.

Industrial Software Programming & Lab
Students will conduct group projects dealing with important engineering issues in the industrial information engineering area. Through this process, they will learn how to build teamwork and develop skills required to work in the field. At the same time, they will learn and practice effective computer programming processes, including C/S and web programming.

Internship Program
(Industrial Information Engineering)
The purpose of this internship program is to apply the professional industrial information- related knowledge that students learn at school to pragmatic problems in the field, and gain actual experience so that students can enhance their sense of field work.

Data Mining
With the development of ERP and DBMS, corporations are drowning in a sea of limitless data. An effective solution to this problem is data mining. This course will introduce basic theories of data mining, after which students will participate in practice sessions using a package.

Simulation & Lab
Studies how to simulate discrete events and use simulation packages based on probability and statistics concepts.

System Integration & Design
Based on the ability to build unit information systems and garner relevant understanding, students study theories on system requirement analysis, design, implementation, and inspection that are needed to build an overall system. Through practice projects, students learn about the system implementation process.

Special Topics in Industrial Engineering
Lectures and practice sessions will be conducted on recent theories and techniques of industrial engineering, including information systems.

Project Lab for Industrial Information Engineering
This course will consist of practice sessions for performing project-based research, with each project team performing assigned tasks. In addition, themes will be chosen for research papers, based on various principles and techniques in the industrial information engineering field, after which required research will be conducted.

System Process Management
To successfully build systems and software, students need to have a general understanding of project support and organizations, in addition to the engineering process ranging from requirement analysis to integration and testing. This course enables students to learn about the establishment of system processes and quantitative management, with focus on Capability Maturity Model Integration (CMMI).

Project Study for Industrial Information Engineering
In this course, basic knowledge in industrial information and systems engineering is a prerequisite. Students will perform projects centering on practical issues, and apply what they have learned up to the third year, including various principles and techniques on industrial information and systems engineering, to resolve practical issues. Through this process, students will develop their problem-solving ability.

Object-Oriented Development Methodology & Lab
Students will learn theories and techniques required to apply the object-oriented concept to system analysis, design, and development. They will also learn about object-oriented analysis, and how to use relevant development tools.

Special Topics in Industrial Engineering
Lectures and practice sessions will focus on recent techniques and theories of industrial engineering, including information systems.

Technology Commercialization
Korea is transforming from a manpower -intensive, low value-added industry to a technology-intensive high value-added industry, resulting in increased importance of “technology management.” Students study technology commercialization, a key theme of technology management, mainly by considering cases.

Business Strategy
Students will understand basic principles and practical limitations of industrial system management. In order to develop skills required to review the effectiveness of business strategies in a new business environment, they will research examples of successes and failures experienced by world-renowned corporations, and establish various business strategies for industrial systems.