Department of Industrial and Systems Engineering Kongju National University , Singwan Campus182 Singwan-dong, Gongju-si, Chungcheongnam-do, 314-701, Korea
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- 网址: http://www.ie.kongju.ac.kr (in Korean)
General Physics and Lab I (3 Credits)
Calculus and Exercises (3 Credits)
Topics include continuity, derivatives, their applications to real-life problems, techniques of integration and applications of integration.
Probability and Statistics (3 Credits)
Probabilistic and statistical methods for stochastic modeling and data analysis are covered. Discrete and continuous random Variables and properties of their distributions are also included.
Introduction to Industrial Engineering (3 Credits)
Introduction to selected topics in industrial engineering, including history and philosophy, product design and manufacturing cycle, integrated role of engineering and business, and multi-objective nature of organizations. Topics also include surveys of selected design problems in resource allocation, operations and quality management, and production engineering.
Operations Research I (3 Credits)
OR I introduces students to the theory, algorithms, and applications of optimization. Optimization methodologies include linear programming, network optimization, integer programming, decision trees, and dynamic programming. The methods have applications to logistics, manufacturing, transportation, marketing, project management, and finance.
Production and Operations Management I (3 Credits)
The objective of this course is to introduce you to concepts and techniques related to the design, planning, control, and improvement of manufacturing and service operations. The course begins with a holistic view of operations, where we stress the coordination of product development, process management, and supply chain management. As the course progresses, we investigate various aspects of each of these three tiers of operations in detail. We cover topics in the areas of process analysis, materials management, production scheduling, quality improvement, and product design.
Design and management of Database (3 Credits)
This course covers theories on DBMS (Database Management Systems). Contents include the following: storage structure, file access methods, data models (relational, object oriented, object relational), query languages for data models, schema design methods, normalization processes, query optimization, concurrency control, crash recovery, and database tuning. Students are required to work on a term project designing and implementing a database system using a commercial DBMS such as mySQL, Oracle or Informix DBMS.
Computer Integrated Manufacturing (3 Credits)
Computer Integrated Manufacturing (CIM) concerns the automation of manufacturing and production assisted by computers. The topic focuses on manufacturing systems such as transfer lines, flexible manufacturing systems, group technology, etc.
Manufacturing Information Systems (3 Credits)
This course is intended for company executives, decision-makers and senior IT / Engineering Managers who want to be informed about MES (Manufacturing Execution Systems) systems, making product choices and implementing an MES system
Creative Engineering Design (3 Credits)
Introduction to the theory, tools, and techniques of engineering design and creative problem solving as well as design issues and practice in real-life problems.
Applied Programming (3 Credits)
This course offers advanced programming skill assuming that students are well aware of the basic programming language. In particular, this course emphasizes linked list and data structures which are particular ways of storing and organizing data in a computer so that it can be used efficiently. Data structures are used in almost every program or software system. Specific data structures are essential ingredients of many efficient algorithms, and make possible the management of huge amounts of data, such as large databases and internet indexing services. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design.
Discrete Mathematics (3 Credits)
This course provides an introduction to combinatorics; covering logic, basic counting techniques, algorithms, recurrence relations and fundamentals of graph theory and network models.
General Life Science (3 Credits)
Problem Solving and Decision Making (3 Credits)
This course focuses on how to create innovative solutions using critical thinking skills and a systematic analysis approach to problems. Participants are introduced to the concept of critical thinking as a method of problem solving and decision making, and find out how to sell their solutions to decision makers for maximum buy in. The highly interactive course incorporates lectures, exercises, self assessment tools, and group critiques to maximize the understanding of the techniques discussed.
Supply Chain Management (3 Credits)
SCM focuses on effective supply chain strategies for companies that operate globally with emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. The course introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization. The class is recommended for Operations Management concentrators and is a first half-term subject.
Introduction to Industrial Computing (3 Credits)
This course introduces computing fundamentals to Industrial engineering students. It covers various topics such as computer architecture, operating systems, communications, internet, algorithms, programming languages and implementations, software engineering, data structures, databases, file systems, artificial intelligence, and theories of computing. Relevance to industrial engineering is emphasized. Finally, students are exposed first hand to current issues and topics of IT industry that are relevant to industrial engineers.
Introduction to Six Sigma (3 Credits)
Six Sigma techniques for the DMAIC cycle (Define, Measure, Analyze, Improve, Control); what is needed for data collection (process inputs and outputs, measurement tools), conduct analysis (hypothesis testing, process capability studies), and conduct process improvement studies (design of experiments, response surface methodology); overview of Six Sigma, process and project management skills. This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.
Computer Simulation (3 Credits)
The purpose of this course is to develop computer simulation models of real or conceptual systems by using the software tool ARENA. The students will be able to design, analyze and interpret the results of computer simulation experiment. Furthermore, students will have a chance to apply discrete-event process simulation to industrial engineering problems.
General Physics and Lab Ⅱ (3 Credits)
Linear Algebra (3 Credits)
Topics include systems of linear equations, matrix algebra, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalization and inner product spaces.
Introduction to Programming (3 Credits)
Computer programming is the process of writing, testing, debugging/troubleshooting, and maintaining the source code of computer programs. This source code is written in a programming language. The purpose of programming is to create a program that exhibits a certain desired behaviour. The process of writing source codes often requires expertise in many different subjects, including knowledge of the application domain, specialized algorithms and formal logic. In this course, students learn basic programming skill including understanding programming language such as C and JAVA.
Engineering Economy (3 Credits)
Continuation of Engineering Statistics I. Sampling distributions, parameter estimation, hypothesis testing, and simple regression analysis are the main areas involved here.
Engineering Economy (3 Credits)
Topics include benefit-cost analysis, inflation, depreciation, taxes, risk and sensitivity analysis and the comparison of alternatives.
Numerical Analysis (3 Credits)
This course introduces the study of algorithms for the problems of continuous mathematics as distinguished from discrete mathematics. Numerical analysis continues this long tradition of practical mathematical calculations. Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, but in the 21st century, the life sciences and even the arts have adopted elements of scientific computations. Ordinary differential equations appear in the movement of heavenly bodies; optimization occurs in portfolio management; numerical linear algebra is essential to quantitative psychology; stochastic differential equations and Markov chains are essential in simulating living cells for medicine and biology. Moreover, the interpolation algorithms nevertheless may be used as part of the software for solving differential equations.
Information Technology Application (3 Credits)
This course provides an understanding and appreciation for the use of information technology to successfully manage an enterprise. Learning competitive roles of information systems, which contribute to the overall success of the business through an effective integration of business strategies, information technology and people, is the major objective of the course.
Project Management (3 Credits)
Examines the organization, planning, and controlling of projects and provides practical knowledge on managing project scope, schedule and resources. Topics include project life cycles, work breakdown structure and Gantt charts, network diagrams, scheduling techniques, and resource allocation decisions
Operations Research Ⅱ (3 Credits)
Formulation, analysis, and interpretation of probabilistic models including Markov processes, Poisson processes and queuing models are the main are of study here.
Design of Experiments (3 Credits)
Basic theories of experimental design and application to industrial engineering problems are studied. Major Topics include: principles of least squares, regression model building, analysis of experimental data, and experimental design for product and process optimization.
Statistical Control of Quality (3 Credits)
This module focuses on quality control with statistical principles applied to problems in various production systems, including probability concepts, density and distribution functions, control chart concepts and sampling inspection plans; laboratory exercises for exposure to basic metrology and applied statistics for quality control applications in discrete-item manufacturing systems.
Production and Operations Management Ⅱ (3 Credits)
The objective of this course is to introduce you to concepts and techniques related to the design, planning, control, and improvement of manufacturing and service operations. The course begins with a holistic view of operations, where we stress the coordination of product development, process management, and supply chain management. As the course progresses, we will investigate various aspects of each of these three tiers of operations in detail. We cover topics in the areas of process analysis, materials management, production scheduling, quality improvement, and product design.
Design and operation of web systems (3 Credits)
In this course, students study various application systems using Internet and WWW technologies. This is a project course designing and developing industrial systems that can improve business processes by providing services on the Web. While carrying out the projects, the students improve their skills to develop Internet applications and learn the importance of software development methods and procedures. In addition, they should get much experience in creating and implementing useful ideas through team-work and brainstorming.
System Analysis and Design (3 Credits)
This comprehensive introduction provides you with the knowledge and skills to contribute effectively to the design of robust, future-proof software systems. After going through this lesson, you should be able to: understand a system, understand the different phases of system developments life cycle, know the components of system analysis, and know the components of system designing.
Reliability Engineering (3 Credits)
The subjects studied in this course include the reliability and utility analysis of total/parts of systems consist of parts, fault tree analysis, effective methods of computing the reliability, analysis and application of life distribution's characteristics, and the theory on maintenances and replacements.
Logistics (3 Credits)
This course explores the key issues associated with the design and management of industrial Supply Chains (SC). SC are concerned with the e켧ient integration of suppliers, factories, warehouses and stores so that products are distributed to customers in the right quantity and at the right time. One of the primary objectives of SC management is to minimize the total supply chain cost subject to various service requirements.
Management of Technology (3 Credits)
This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities.
New Product Development (3 Credits)
The basic concept of product design and its process are to be understood and techniques required for product design are studied. Different approaches to conceptual design and the case study of their applications are covered along with the steps of reflecting the user's request and ergonomic factors during product designing stage with their analytical methods. Parallel to theoretical learning, a project of inventing and producing innovative products is carried out throughout the course.
Factory Automation (3 Credits)
This course focuses on elements of factory automation such as Flexible Manufacturing Cells and Systems, material handling and warehousing, assembly systems, automated quality control systems, sensors and data acquisition. Furthermore, topics also include cellular manufacturing techniques and layout planning, simulation and intelligent manufacturing, and strategies for factory automation.
Capstone Design (3 Credits)