course description ime

							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


Department Regulations


1. Master's students must have completed at least 9 credits from each core course and 12 credits
from major courses.


2. Ph.D. students must have completed at least 9 credits from each core course and 18 credits
from major courses that were not included in their M.S. degree. 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. Fast track Ph.D. students must have completed 54 credits that include at least 36 credits of
industrial management engineering courses. Of these 36 credits, at least 9 credits should be each
core course.


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.

                          Applied Statistics Methods
              IME 501                                                3

                          Analysis and Modeling of Systems
              IME 502                                                3

                          Optimization Theory and Applications
              IME 503                                                3

                          Computer Algorithm
Industrial    IME 505                                                3
                                                                              Completion : at
System
                          Manufacturing                Information            least 3 courses
Engineering   IME 506                                                3
                          System

              IME 507                                                3
                          Product Development Engineering

              IME 508                                                3
                          Applied Stochastic Processes

              IME 510                                                3
                          Human-Interface



              IME 507     Product Development Engineering            3


              IME 510     Human Interface                            3


              IME 521     Technology Management Systems              3


              IME 523     Technology Strategy                        3

Management                                                                    Completion : at
              IME 524     Technology Forecasting                     3
Engineering                                                                   least 3 courses

              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 501 Applied 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 502 Analysis 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 503 Optimization 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 505 Computer 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 506 Manufacturing 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 507 Product 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 508 Applied 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 510 Human 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 507 Product 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.


ME 510 Human 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 521 Technology 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 523 Technology 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 524 Technology 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 525 Fundamentals 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 526 Techno-Economics Analysis                                           [3]
  This course introduces methodologies and applications for economical analysis of technology
development.


IME 527 Knowledge Management Systems                                                [3] This course covers
the background of knowledge management system theory and introduces some examples of
conflicts in intellectual property rights.


IME 528 Marketing 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 552 Network 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 553 Transportation 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 554 Forecasting 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 555 Advanced 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 556 Virtual Enterprise and Manufacturing Systems Design                              [3]
  Profit‐making virtual enterprise and manufacturing systems are developed by modeling
operational and manufacturing processes in networked computers and are recognized as
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 557 Supply 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 558 Applied 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 559 Management 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 560 Intelligent 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 561 Cognitive Ergonomics                                               [3]
  This course examines the cognitive process underlying perception, mental imagery, short‐ and
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 562 Business 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 563 Technology Innovation Theory                                         [3]
  This course studies fundamental issues in the theory of innovation in technology.


IME 564 Meta-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 566 Machine 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 567 Multivariate 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 568 Innovative Logistics Management                                         [3]
  Drawing on real examples, this course introduces various methods for innovative logistics
management.


IME 569 Service 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 570 Applications 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 571 Telecommunications 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 572 Fundamentals of Telecommunication Systems                                     [3]
  This     course    deals     with   performance       modeling    of    advanced      telecommunication
networks, advanced network performance modeling, and network planning and optimization.
IME 573 Business Process Management                                            [3]
  This course introduces the theory and methods of modeling and analysis of business
processes.


IME 574 Intellectual 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 575 Patent 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 576 Patent 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 577 Financial 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 578 Project 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 580 Introduction 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 610 Production 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 611 Computer 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 612 Scheduling Theory                                             [3]
  This course is about optimization of measures for scheduling evaluation, single machine,
multimachine and job sequences.


IME 613 System Simulations                                            [3]
  This course introduces several simulation languages and evaluates their application to system
analysis.


IME 614 Computer 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 615 Artificial 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 616 Expert 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 617 Integer 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 618 Analytic 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 619 Product Development Experimental Methodology                               [3]
  An introduction to experimental design techniques in ergonomics, including ANOVA, regression,
nonparametric analysis, and factor analysis.


IME 620 Stochastic 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 621 Engineering Psychology                                            [3]
  This course deals with attention, perception, recognition, memory, decision‐making, and
behavior that underlie the theory of information processing in humans.


IME 622 Biomechanics 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 623 Information 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 624 Human 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 625 Theory 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 626 Safety 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 627 Human 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 628 Ergonomic Research Methodology                                        [3]
  This course covers various research methodologies in ergonomics and uses them to solve
problems of systems design.


IME 629 Multi-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 631 User-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 640 Technology Financial Management                                        [3]
  This course introduces fundamental concepts associated with financial activities and technology
financial management in companies.


IME 641 Technology 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 642 Investment 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 643 High-Tech Marketing                                           [3]
  This course presents various marketing issues associated with product, price, and timing in
high‐technology companies.


IME 644 Entrepreneurship 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 645 Service 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 646 Technology 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 647 New 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 648 Customer-oriented Marketing and Design                                      [3]
  This course introduces engineers to marketing and design with special emphasis on how both
interact with their discipline.


IME 649 Advanced 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 711 Advanced 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 712 Independent 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 713 Water 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 714 Content‐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 715 Combinatorial 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 716 Informatics                                                   [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 801 Seminar 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 802 Seminar 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 803 Advanced Topics in Industrial Management Engineering 1                                [3]
  Advanced topics in the design and development of industrial management engineering.


IME 804 Advanced Topics in Industrial Management Engineering 2                                [3]
  Advanced topics in the design and development of industrial management engineering.
IME 821 Seminar 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 822 Seminar 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 823 Advanced Topics in Management Engineering 1                                     [3]
  Advanced topics in the design and development of management engineering.


IME 824 Advanced Topics in Management Engineering 2                                     [3]
  Advanced topics in the design and development of management engineering.