KU Graduate
Departments & Majors

DEPARTMENT OF INDUSTRIAL MANAGEMENT ENGINEERING

Program Overview

The Department of Industrial Management Engineering at Korea University offers the Master of Science (M.S.) and the Doctor of Philosophy (Ph.D.) degrees. These degrees provide students an opportunity to acquire knowledge at a depth beyond the baccalaureate level and to specialize in a particular area of interest. The main objective of our programs is to produce students who can analyze and design complex systems of people, processes, and technology to accomplish organizational goals.

The programs of the department are in two areas of concentration:

Industrial Systems Engineering

Management Engineering

Comprehensive Exams

The purpose of comprehensive exams is to evaluate specialized knowledge in the student’s area of concentration.

1. To earn an M.S. degree, students must pass three courses from core courses.

2. To earn a Ph.D. degree, students much pass 3 courses from core courses and 2 courses from major in their field. Exams on 3 core courses may be waived for Ph.D. students who earned their M.S. degree from the Department of Industrial Management Engineering at Korea University.

3. The minimum passing score for each course is 70 out of 100.

4. The comprehensive exam may be waived for students who satisfy the following criteria:

4.1. M.S. students who have published conference papers as the first or corresponding author.

4.2. Ph.D. students who have published as the first or corresponding author papers listed in the Science Citation Index or the Science Citation Index Expanded.

4.3. Fast track Ph.D. students must meet the same requirements as other Ph.D. students.

Degree Requirements

1. By completion of the M.S. program, master’s students much have at least 1 conference paper (domestic or/and international) published or accepted for publication.

2. By completion of their Ph.D. program, doctoral students much have at least 2 research papers published or accepted for publication in journals listed in the Science Citation Index or in the Science Citation Index Expanded.

3. Fast track Ph.D. students must meet the same requirements as other Ph.D. students.

- Courses in Industrial Management Engineering -

Core Courses

Major Field Course ID Subject Credit Etc
Industrial
System
Engineering
IME 501 Applied Statistics Methods 3 Completion
: at least 3
courses
IME 502 Analysis and Modeling of Systems 3
IME 503 Optimization Theory and Applications 3
IME 505 Computer Algorithm 3
IME 506 Manufacturing Information System 3
IME 507 Product Development Engineering 3
IME 508 Applied Stochastic Processes 3
IME 510 Human-Interface 3
Management
Engineering
IME 507 Product Development Engineering 3 Completion
: at least 3
courses
IME 510 Human-Interface 3
IME 521 Technology Management Systems 3
IME 523 Technology Strategy 3
IME 524 Technology Forecasting 3
IME 525 Fundamentals of Systems Engineering 3
IME 526 Techno-Economics Analysis 3
IME 527 Knowledge Management Systems 3
IME 528 Marketing Engineering 3

Industrial System Engineering Core Courses

IME 501Applied Statistics Methods[3]
This course emphasizes hands on experience and interpretation of statistical computer packages regarding design of experiments, analysis of variance, multiple regression, nonparametric procedures, and multivariate analyses.
IME 502Analysis and Modeling of Systems[3]
Industrial engineers require the ability to analyze and model complex systems. This course covers system modeling techniques based on data and process. These techniques include IDEF modeling, ER diagram modeling, Petri net modeling, and unified modeling language.
IME 503Optimization Theory and Applications[3]
This course covers the fundamental theory and algorithms of linear optimization. Topics covered are (review of) linear algebra, linear programming formulation, the revised simplex method, duality, sensitivity analysis, parametric analysis, dual simplex algorithms, primal dual (simplex) algorithms, network models and total unimodularity, and decomposition techniques.
IME 505Computer Algorithm[3]
This course focuses on the concepts and manipulation techniques of data structures and on algorithms for searching, sorting, and hashing, and on graphs and memory organization.
IME 506Manufacturing Information System[3]
This course studies the information processing techniques of production management, including LAN, and several production modules for reliable and efficient operation of production systems.
IME 507Product Development Engineering[3]
This course discusses customer requirements, product specifications, concept generation, and product design issues to establish a successful process of product development. Various human characteristics involved in the process are also presented in the course.
IME 508Applied Stochastic Processes[3]
This course presents probability models within the context of the stochastic processes. Topics covered are Poisson, Markov and Renewal processes and inventory queuing theory.
ME 510Human Interface[3]
This course covers topics of human computer interaction (HCI) and focuses especially on the factors that affect interactions among computer equipped machines.

Management Engineering Core Courses

IME 507Product Development Engineering[3]
This course discusses customer requirements, product specifications, concept generation, and product design issues to establish a successful process of product development. Various human characteristics involved in the process are also presented in the course.
IME 510Human Interface[3]
This course covers topics of human computer interaction (HCI) and focuses especially on the factors that affect interactions among computer equipped machines.
IME 521Technology Management Systems[3]
This course is intended to provide students with a pragmatic approach to the formulation and implementation of R&D strategy and to operational modeling in technology management systems.
IME 523Technology Strategy[3]
This course introduces the concept of competitive analysis and tools for proper business decision making and reactions that allow maximization of the long term profit of a company.
IME 524Technology Forecasting[3]
This course focuses on methods to effectively analyze and forecast demand for technology and also deals with the strategy of technology development.
IME 525Fundamentals of Systems Engineering[3]
This course introduces the detailed and technical analysis, integration, management and design for the system and analysis and verification methodologies of the system.
IME 526Techno-Economics Analysis[3]
This course introduces methodologies and applications for economical analysis of technology development.
IME 527Knowledge Management Systems[3]
This course covers the background of knowledge management system theory and introduces some examples of conflicts in intellectual property rights.
IME 528Marketing Engineering[3]
This course covers the basic concept of marketing and its important role in the management of a company. Also, the course uses discussion of real examples to introduce various marketing techniques and their application.

Major Courses

IME 552Network Optimization[3]
This course offers network optimization models, algorithms, and their applications in tree, max flow, minimum cost network flow, shortest path and convex cost network flow, and multicommodity network problems.
IME 553Transportation Logistics[3]
This course discusses the design of systems of transportation and logistics for distribution networks from producers to consumers. Detailed topics includuceelection of transportation types, the logistics of network design, supplier selection, distribution center location, and diversification of international networks.
IME 554Forecasting Models[3]
This course introduces various methods of forecasting. These methods include multiple regression analysis, logistic/Poission regression analysis, smoothing techniques, and autoregressive integrated moving average (ARIMA) models.
IME 555Advanced Topics in Linear Programming[3]
This course covers the essential algorithmic procedures for solving linear programming. Topics include Karmarkar's projective scaling, affine scaling, path following algorithms, min cost network flow, RELAX, and the kilter method, and primal dual methods in mathematical programming.
IME 556Virtual Enterprise and Manufacturing Systems Design[3]
Profit making virtual enterprise and manufacturing systems are developed by modeling operational and manufacturing processes in networkeses mputers and are recognizeseas alternative forms of future enterprises. This class deals with various methods for modeling and visualizing manufacturing and business processes on the World Wide Web (WWW). The goal of this class is to foster the abilities of students to use machine tools and systems for modeling and business workflow modeling.
IME 557Supply Chain Coordination and Integration[3]
The main topic of this course is coordination and integration of a supply chain. This course discusses methods for improving the efficiency of a supply chain, including the bullwhip effect.
IME 558Applied Probability Model[3]
This course deals with various queuing models such as M/M/1, M/G/1, G/M/S, G/G/S and optimization problems based on applied stochastic processes.
IME 559Management and Control of Manufacturing Process[3]
This course emphasizes an understanding of the manufacturing process for efficient process management. These methods include artificial intelligence and optimization.
IME 560Intelligent Robot Vehicle Development[3]
This course introduces techniques for developing an intelligent robot vehicle. The techniques include image processing, artificial intelligence techniques, motor control, braking, and automatic handling control. This course also discusses the theoretical background of these techniques as well as real examples.
IME 561Cognitive Ergonomics[3]
This course examines the cognitive process underlying perception, mental imagery, shortand long term memory, language comprehension, decision making, problem solving, and skilled performance. Both theory and basic experimental findings for each cognitive process are covered, and the emphasis will be on the underlying information processing mechanisms from an engineering perspective.
IME 562Business Logistics Management[3]
This course introduces the design of a logistics system and various quantitative and qualitative methods to measure the productivity of a logistics system and inventory management.
IME 563Technology Innovation Theory[3]
This course studies fundamental issues in the theory of innovation in technology.
IME 564Meta-heuristic[3]
This course introduces various heuristic methods, including genetic algorithms, tabu search, and simulated annealing, with the hope of overcoming the limitations posed by existing optimization techniques to obtaining more efficient or more robust procedures.
IME 566Machine Learning[3]
Machine learning is concerned with the design and development of algorithms for constructing programs that learn from data. The topics covered in this course include artificial neural networks, decision trees, genetic algorithms, Bayesian learning, case based reasoning, and reinforcement learning.
IME 567Multivariate Statistical Analysis for Data Mining[3]
This course introduces the theory and applications of multivariate statistical methods for data mining. The topics include multivariate normal distribution, multiple regression analysis, feature selection/extraction, classification methods, clustering methods, and resampling techniques. Computer languages (MATLAB and R) are used to mine real data.
IME 568Innovative Logistics Management[3]
Drawing on real examples, this course introduces various methods for innovative logistics management.
IME 569Service Engineering Systems[3]
This course is concerned with the management of service operations within the pure service sector (information and telecommunications services, banking, transportation, travel and tourism, government) and within the service functions of manufacturing (after sales support, financing, etc.) The course also presents design and delivery of services, the measurement of productivity and quality, managing capacity and demand, quality management, reengineering service processes, management of technology in services, and customer satisfaction management systems.
IME 570Applications of Systems Engineering[3]
This course presents graduate students in combination between engineering and management with the necessary information about technology management based on system engineering. Topics include the integrated system parts, optimization of the rapidly technology and technology roadmap.
IME 571Telecommunications Management Systems[3]
This course emphasizes modern analysis of enduring successful practices of management and engineering for solving various operational problems in emerging telecommunication technologies. The course is intended to provide students with a pragmatic approach to the formulation and implementation of business and operational modeling in telecommunication systems.
IME 572Fundamentals of Telecommunication Systems[3]
This course deals with performance modeling of advanced telecommunication networks, advanced network performance modeling, and network planning and optimization.
IME 573Business Process Management[3]
This course introduces the theory and methods of modeling and analysis of business processes.
IME 574Intellectual Property Management[3]
Topics covered in this course include the strategy of intellectual property, evaluation of assets, evaluation of intellectual property, and business guarantees.
IME 575Patent and Information Analysis for Researchers 1[3]
This course presents graduate students in science and engineering with the necessary information about patents that may be applicable to their research. Topics include intellectual property rights and how to obtain patents.
IME 576Patent and Information Analysis for Researchers 2[3]
Topics in this course include the patent information system, intellectual property and its copyrights, search engines, quantitative/qualitative methods for patent analysis, and construction of a strategic patent portfolio.
IME 577Financial Risk Management[3]
This course introduces the concepts and theories for the understanding of risk using the risk management and information technology. This course focuses mainly on the risk of the financial corporation for the changes in the particularity, innovation and regulation of the financial institutions. It also emphasizes research in the knowledge of risk control for effective management.
IME 578Project Management[3]
Project management is the discipline of planning, organizing and managing resources to bring about the successful completion of specific project goals. This course covers the basic background of business/management skills involved in project management. Applications focus on a software project.
IME 580Introduction to Financial Engineering[3]
This course aims to teach a working knowledge of financial engineering. The class assumes that students have a basic knowledge of an undergraduate level engineering economy. The course focuses mainly on how to use the derivative markets (futures and options) to improve the efficiency of engineering investment in a volatile market. At the end of the class, students are expected to have learned the mechanics of the stock market and of the futures and option markets.
IME 610Production System Design[3]
This course studies methodologies for production system design, taking into consideration the processing operation, type of production, production volume, and material flows on a shop floor. Simulation and several layout techniques are investigated to arrive at a efficient production system design
IME 611Computer Integrated Manufacturing System[3]
This course deals with manufacturing and its various levels and with the planning and control of product movement through the production system within the context of using real time controls; it also emphasizes research in knowledge engineering, manufacturing software systems, robotic vision, and robotic manipulation.
IME 612Scheduling Theory[3]
This course is about optimization of measures for scheduling evaluation, single machine, multimachine and job sequences.
IME 613System Simulations[3]
This course introduces several simulation languages and evaluates their application to system analysis.
IME 614Computer Vision[3]
This course is an introduction to the use of machine vision, image processing, and image analysis for industrial applications. Many case studies are introduced.
IME 615Artificial Intelligence[3]
AI is the study of how to make computing do things that, at the moment, people do better. The course covers a broad spectrum from list processing to neural networks. The main emphasis is on the applicability of AI to broad engineering applications
IME 616Expert System[3]
The primary focus of this course is on building knowledge of programming language, application systems, and methodology. Also, practical applications are developed for enhancing an understanding of the basic skills of an expert system.
IME 617Integer Programming[3]
Optimization methods and related theory in the integer programming are studied in this course. Included in the course content are polyhedral theory, computational complexity, the branch and bound method, subgradient methods, Bender's decomposition method, the Lagrangian relaxation method, and cutting plane methods.
IME 618Analytic Network Process and its Application[3]
The decision process associated with intangible elements such as belief, feeling, and social value systems is studied in this course. The Analytic Network Process (ANP), which is a system analysis technique for the synthesis and justification of complex decisions and incorporates the capability to model nonlinear relations between the elements, will be investigated. Students will learn how ANP allows the decision maker(s) to leap beyond the traditional hierarchy to the interdependent environment of network modeling. Application examples with general management, group decision analysis, replacement analysis, water resource planning, and management systems will be studied.
IME 619Product Development Experimental Methodology[3]
An introduction to experimental design techniques in ergonomics, including ANOVA, regression, nonparametric analysis, and factor analysis.
IME 620Stochastic Dynamic Programming[3]
This course presents stochastic dynamic optimization methods. Emphasis is on the modeling and solution of operations management, business management, and pricing policies.
IME 621Engineering Psychology[3]
This course deals with attention, perception, recognition, memory, decision making, and behavior that underlie the theory of information processing in humans.
IME 622Biomechanics and Work Physiology[3]
The biomechanical and physiological properties of the human body are taught, and their implications for the design of machines, equipment, and systems are analyzed and discussed.
IME 623Information Visualization[3]
This course covers a mapping algorithm, visualization, user interface design, information acquisition, and knowledge expression for constructing information space, perception, and recognition.
IME 624Human Cognition Modeling[3]
This course covers human cognition models such as GOMS, ACT R, EPIC, Soar, and QN MHP and uses simulation models to understand the process of human cognition.
IME 625Theory and Algorithms of Large-Scale Numerical Optimization[3]
This course deals with the fundamental theory and algorithms of nonlinear optimization, with special emphasis on large scale issues. Topics covered are Lagrangian duality & Lagrangian multiplier methods, penalty & barrier function methods, branch and bound for integer & nonlinear programming, column generation schemes, cutting planes & row generation schemes, and limited memory based methods for nonlinear programming.
IME 626Safety Systems Engineering[3]
Theories of safety, accidents, and prevention methods are the topic of this course whose objective is to provide students with the capability to analyze industrial systems for safety hazards. Legal issues and various mechanical hazards are discussed. Ergonomic hazards also are discussed.
IME 627Human Factors Survey and Analysis Methodology[3]
This course introduces human factors research methodologies based on survey techniques and multivariate statistical analysis. The course also deals with a process to understand users' opinions and preferences during product development.
IME 628Ergonomic Research Methodology[3]
This course covers various research methodologies in ergonomics and uses them to solve problems of systems design.
IME 629Multi-agent Distributed System Design[3]
One of the most different characteristics of modern production, management, and information systems is that they are distributed. This course studies the software agents useful in modeling the behavior of distributed systems. By studying the characteristics, architecture, and communication methods of multiagent systems and developing simple agent based systems, students develop their ability to model distributed systems.
IME 631User-Centered Design[3]
This course introduces process oriented methodologies to better reflect user behavior for product systems design. Emphasis is placed on methods related to the planning stage that precedes the design stage.
IME 640Technology Financial Management[3]
This course introduces fundamental concepts associated with financial activities and technology financial management in companies.
IME 641Technology Financial Accounting[3]
The main purpose of financial accounting is to prepare financial reports that provide external parties with information about the performance of a company. This class introduces fundamental concepts associated with financial accounting.
IME 642Investment Science[3]
The purpose of this course is to construct a basic structure of decision making associated with investment. The course covers the concept of efficient markets, asset allocation, and investment analysis.
IME 643High-Tech Marketing[3]
This course presents various marketing issues associated with product, price, and timing in high technology companies.
IME 644Entrepreneurship and Venture Corporation[3]
This course introduces the theory of entrepreneurship and the process of creating new venture business. This course also uses academic papers and case studies to assess various factors affecting success and failure in entrepreneurial management.
IME 645Service Operations Management[3]
This course covers the design and analysis of a service delivery process and strategic business problems involved in the improvement of the efficiency of service systems.
IME 646Technology Policy[3]
This course studies research and development, dissemination, and transfer of technology policy. The focus is on the integration of engineering technology and management logic.
IME 647New Product Development Process[3]
This course studies the process of developing new products from the viewpoint of consumer modeling, launching of development teams, surveys, and ideation.
IME 648Customer-oriented Marketing and Design[3]
This course introduces engineers to marketing and design with special emphasis on how both interact with their discipline.
IME 649Advanced Topics in Financial Engineering[3]
This course addresses advanced topics in financial engineering, especially in derivatives. The main thesis of the class focuses on establishing the mathematical foundation of financial engineering through discussion of, and practice with, the Black Scholes model, stochastic optimization, the binomial model, stochastic volatility, and portfolio management.
IME 711Advanced Topics in Quality Control[3]
This course focuses on advanced topics in statistical quality control with special attention to sampling theory, inspection theory, quality control charts, and quality management systems.
IME 712Independent Study[3]
A course designed specifically for a student to choose a special topic in cooperation with an instructor. This class requires the writing of a professional report.
IME 713Water Resources System Analysis[3]
This course covers development and application of systems analysis and optimization models in water resources planning and management problems within the hydrologic cycle; the issue of mathematical modeling is emphasized. Linear programming or mathematical programming is a prerequisite for admission to the course.
IME 714Content?Based Image Retrieval System[3]
This course covers the introduction of an intelligent image system and accompanying analytical methods for a content based image retrieval system. It also emphasizes learning various pattern recognition algorithms involved in image information and in operating retrieval systems.
IME 715Combinatorial Optimization Theory[3]
This course studies the polyhedral combinatorial, matrioid theory, advanced topics in cutting plane theory, graph theory, and its applications in emerging technologies.
IME 716Informatics[3]
This course offers state of the art theory and algorithms in statistics, mathematical programming, support vector machines, and logical analysis of numerical data for biological and medical applications of binary and multiclass classification.
IME 801Seminar in Industrial Management Engineering 1[3]
This seminar course deals with various problems of industrial engineering and is directed toward students working on their Ph.D. dissertation.
IME 802Seminar in Industrial Management Engineering 2[3]
This seminar course deals with various problems of industrial engineering and is directed toward students working on their Ph.D. dissertation.
IME 803Advanced Topics in Industrial Management Engineering 1[3]
Advanced topics in the design and development of industrial management engineering.
IME 804Advanced Topics in Industrial Management Engineering 2[3]
Advanced topics in the design and development of industrial management engineering.
IME 821Seminar in Management Engineering 1[3]
This seminar course deals with various problems of management engineering and is directed toward students working on their master’s dissertation.
IME 822Seminar in Management Engineering 2[3]
This seminar course deals with various problems of management engineering and is directed toward students working on their master’s dissertation.
IME 823Advanced Topics in Management Engineering 1[3]
Advanced topics in the design and development of management engineering.
IME 824Advanced Topics in Management Engineering 2[3]
Advanced topics in the design and development of management engineering.