Global Supply Chain Management:
This course investigates the theories required for managing the processes in the movement and storage of materials, informations, and finances from the point-of-origin to the point-of-consumption. In particular, under global environments, this course discusses how SCM arranges these movements in order to minimize the labors and the goods between companies.
Advanced Database:
This course studies a client-server system and a parallel database as a database system architecture. This course also covers the theories and implementation issues of a main-memory database and a real-time database.
Advanced RFID:
This course studies the overall issues of the RFID technology, a key technology for logistics IT(Information Technology). In particular, this course examines the basics of RFID technology, modulation/demodulation, standardization efforts, architecture and design of RFID systems.
Logistics Information system:
Logistics information system is defined as a computer-based system that processes the information about all movements and storage of raw materials, work-in-process inventory, and finished goods from point-of-origin to point-of-consumption. This course studies gathering/analysis/ processing of logistics informations in order to improve the understandings and implementation skills of the students.
Logistics System:
Based on the mathematical theories in the areas of industrial engineering, this course addresses the design and operation of logistics systems. To aim this, this course focuses on the process of the decision-making process. It also studies the logistics systems with a detailed discussion of their specific examples.
Advanced Logistics IT:
This course overviews the current issues of logistics technology, and studies the current issues in the area of logistics information technology. In particular, this course focuses on the convergence of the logistics technology, e.g., port and shipping logistics, and information technology, e.g., wireless networking, sensor/tag, middleware, artificial intelligence, software engineering, and database.
Advanced Software Engineering:
This course provides a clear definition of software engineering and discusses efficient methods of software developments. In particular, this course provides theoretical lectures and extensive experiments for the development, operation and maintenance of a software.
Mathematical Programming(Ⅰ):
In this course, we study the basic concepts of linear programming, modeling of a system, an interior-point algorithm, theories of simplex methods, duality and sensitivity. The students can improve their analytical capabilities through the case studies of this course.
System Simulation:
This course studies the basic concepts and the theories of simulations that help to analyze and model a complex system hard to understand through mathematical analysis. The students also learn how to use a simulation specific language, ARENA, in order to solve the problems of real systems.
Ubiquitous Computer Architecture:
This course investigates the current issues of computer architectures under the ubiquitous computing environments. In particular, this course focuses on the design of major modules in ubiquitous computers, for example, network processors, embedded CPU, bus architectures, etc. This course also addresses the issues of SoCs(System-on-Chips), low-power and integrated implementations of these modules.
Advanced Artificial Intelligence:
This course studies some advanced topics in the area of artificial intelligence; these topics includes some research issues of the key technologies, e.g., knowledge expression, reasoning and planning. This course provides in-depth lectures in parallel with the seminar on the recent publications.
Analysis & Design of Information System:
This course addresses the role of information system in the decision-making process, system design and analysis, trade-offs in system design, and the case studies of information systems. The students can improve their capabilities in the design and analysis of information systems.
Advanced Computer Network:
The objective of this course is to examine the design and performance analysis of computer networks, including data-link protocols, routing algorithms, congestion control, etc. This course provides a theoretical lectures to better understand the basic principles in the design and analysis of computer networks
Port Logistics System:
This course provides a well-rounded educations for the design, operation, and performance optimization of the port logistics systems
Object-Oriented Software Development Methodology:
This course clearly defines the concept of object-oriented design, and then studies software development methods, such as object modeling techniques(OMT), unified software development process, etc. In particular, the students can better understand the pros and cons of the object-oriented developments through a term project based on the existing methods, for example, unified modeling language(UML).
Advanced Supply Chain Management:
This course investigates the overall issues of supply chain managements, i.e., planning, implementing, and controlling the operations of the supply chain. In this course, the students are required to make a team and to execute a team project on the supply chain management.
Data Mining:
Data mining is defined as a process of extracting useful patterns or knowledges, aiding to the decision-making process, from the information in a data warehouse. This course studies some efficient methods of processing a large amount of data and how machine-learing techniques are employed in this field
Topics in RFID Middlewares:
This course examines the basic concept of the middleware for RFID, RTLS, and sensor networks. In particular, this course addresses the architecture of the middleware, indexing and query processing of tag data, and standardization efforts of RFID middleware.
Logistics Network Analysis:
The first half of this course investigates the basic theories of networks, such as the minimum-cost flow problems and the maximum flow problems, that can be widely used for the analysis of logistics networks. This course also studies the design methods of logistics networks based on the mathematical programming. In this course, the students are required for the presentation of the recent papers on the logistics networks.
Topics in Information Technologies in Logistics:
The first half of this course investigates the basic theories of networks, such as the minimum-cost flow problems and the maximum flow problems, that can be widely used for the analysis of logistics networks. This course also studies the design methods of logistics networks based on the mathematical programming. In this course, the students are required for the presentation of the recent papers on the logistics networks.
Business Process Management:
In this course, students will learn the knowledge about not only methodologies but also integrated systems, which improve operational performance of organization by modeling and managing its business process. Students will discuss a variety of research results from academy and industry, which are related to business process management, and enhance their ability to apply their knowledge to practice creatively.
Logistics Information System Securugy:
The course deals with the security problem arising when logistics information is integrated into the databases and they are interconnected by network communication. Students will study database security, communication security, middleware security, and tag memory security, as well as the security problem from the interoperation of information systems owned by different logistics parties.
Topics in Sensor Network:
Architecture of Ubiquitous Sensor Networks(Sensor Node Architecture, Network Architecture) / Communication Protocols for Sensor Networks(MAC Protocols, Naming and Addressing in Sensor Networks, Time Synchronization, Topology Control, Routing Protocols, Localization and Positioning , Mobility Control in Sensor Networks, Standards related to Sensor Networks)
Topics in Software Engineering:
In this course, students will learn the selected topics with great depth among software architecture, software test, software quality assurance, software requirement engineering, and software design. As well, they investigate the problem arising when the theories of software engineering are employed to solve practical problems through the case studies. The objective of this course is to understand the selected topics fully by studying the state-of-the-art papers with related to the topics.
Software Reuse Methodology:
In this course, we discuss the problems related tothe software reuse. First of all, student will learn the reason of reusing, application of reusing, and the methodology to reuse efficiently. Students will understand the theories about software reusing in the broad sense by studying the research results in this field through the seminar and proposing the alternative through the discussion of the problems in the research.
Mathematical Programming(Ⅱ):
Students will learn a variety of search methodologies and novel meta-heuristics that are developed for obtaining good solution of non-linear programming model. As well, case studies are conducted for improving the understanding of the solution methodology.
Ubiquitous Port Logistics:
This course deals with the mobile communication technology, especially with mobile Internet. Students will learn the characteristics of wireless frequency, technologies about FDMA/TDMA/CDMA, and wireless communication systems such as PCS and wireless LAN, as well as the recent development of technologies in wireless Internet and the trend of standardization.
Mobile Internet:
This course deals with the mobile communication technology, especially with mobile Internet. Students will learn the characteristics of wireless frequency, technologies about FDMA/TDMA/CDMA, and wireless communication systems such as PCS and wireless LAN, as well as the recent development of technologies in wireless Internet and the trend of standardization.
e-Business System Applications:
The objectives of this course are to improve the ability to design and develop with creativity the e-business applications that bring the intelligence into e-commerce and e-business using the information technologies recently developed.
Applications in Artificial Intelligence:
Students will learn from the basic knowledge of artificial intelligence (AI) to knowledge base systems, expert systems, expert system development, robotics, genetic algorithms, case-based reasoning, and AI applications in manufacturing. As well, they will cultivate their ability of applying the theories to the practical engineering problems.
Operations Scheduling:
In this course, the exercise problems in the textbook will be assigned to students and they are requested to solve the problems at the class. As a result, students can cultivate their knowledge about scheduling. As well, students will undertakethe term projects in which they formulate practical problems and solve them. Through the projects, students can have opportunities of extending the related papers or proposing new ideas for the solutions.
Inventory Theory:
Students will learn the basic knowledge about inventory management by studying the concepts in fundamental inventory theory at the first phase. Next, they will study Just-In-Time manufacturing system s known as Toyotamanufacturing system in detail. The major topics in this course are ABC analysis, deterministic inventory models, probabilistic inventory model, and JIT system.
Design of Integrated Information System Architecture:
Students will learn the basic knowledge about inventory management by studying the concepts in fundamental inventory theory at the first phase. Next, they will study Just-In-Time manufacturing system s known as Toyotamanufacturing system in detail. The major topics in this course are ABC analysis, deterministic inventory models, probabilistic inventory model, and JIT system.
Stochastin Processes and Queueing Theory:
The basic topicsin this course are Poisson process, renewal process, and Markov process. Based on the basic topics, students will learn Markov queueing system, M/G/1 queueing model, G/M/1-related models, and queueing networks.
Port Logistics Data Network:
In this course, we discuss the informationcommunication network for the exchange of data that are indispensible for optimizing and operating port logistics efficiently. Students will learn protocols and network design technology, which are required for exchange of information among entities operating along with container transfer. The optimization issues are presented and discussed both technologically and theoretically.
Advanced Freight Transportation:
In this course, we discuss transportation planning, facility planning, and transportation policy, which are related to the freight transportation with the modalities of road, rail, air, and sea. Specifically, we focus on the analysis and planning of intermodal freight transportation. To this end, students will learn industry, standard, market, cost, and profit structure related to the transportation modes. Based on the study, they will investigate the optimization models for planning intermodal transportation.
Linear Control:
The subjects include mathematical modeling of dynamical systems, linear systems and linearization, linear time-invariant systems, transfer function, stability, controllability, observability, LQ control, etc.
Adaptive Control:
The subjects include identification of line