Dept. of Information on Technology

1. Education goal

Department of information & communication at Handong Univ. cultivates experts who will lead the revolution of information-oriented society in the 21st century. serve and change our nation & the world by growing an integrative view that can handle the rapidly changing circumstance, training solving problems creatively in the field situation with field-oriented studies & researches in IT & Communication fields.


2. Curriculum

Division

School Year

Code

Course Title

Credit-Lab-Lecture

Elective

1

ECE500

Digital Signal Processing

3-0-3

Elective

1

ECE501

Random Process

3-0-3

Elective

1

ECE545

Intelligent Information System

3-0-3

Elective

1

ECE505

Special Topics on Digital System

Design

3-0-3

Elective

1

ECE507

Microwave Active Devices and

Circuits

3-0-3

Elective

1

ECE508

Image Signal Processing

3-0-3

Elective

1

ECE540

Special Topics on Computer

Architecture

3-0-3

Elective

1(every other year)

ECE544

Neural Networks

3-0-3

Elective

1

ECE546

Computer Vision

3-0-3

Elective

1(every other year)

ECE547

Introduction to GIS and Its

Technology

3-0-3

Elective

1(every other year)

ECE557

Special Topics on Multimedia

System

3-0-3

Elective

1(every other year)

ECE558

Human ? Computer Interaction

3-0-3

Elective

1(every other year)

ECE553

Distributed Object & Computer

Technology

3-0-3

Elective

1

ECE555

Introduction to Parallel

Processing

3-0-3

Elective

1

ECE512

Semiconductor Device

3-0-3

Elective

1

ECE570

Special Topics 1

3-0-3

Mandatory

1

ECE580

Research 1

3

Elective

2(every other year)

ECE509

Internet Protocols

3-0-3

Elective

2

ECE510

Medical Imaging

3-0-3

Elective

2(every other year)

ECE541

Special Topics on Software

Engineering

3-0-3

Elective

2(every other year)

ECE542

Inter Computing

3-0-3

Elective

2(every other year)

ECE502

Special Topics on High Speed

Networks

3-0-3

Elective

2

ECE550

Knowledge Information System

Programming

3-0-3

Elective

2(every other year)

ECE548

Remotely Sensed Image

Processing Analysis

3-0-3

Elective

2

ECE503

VLSI Design

3-0-3

Elective

2(every other year)

ECE552

Component based Software

Engineering

3-0-3

Elective

2(every other year)

ECE543

Design Automation for VLSI

3-0-3

Elective

2(every other year)

ECE554

Distributed Systems

3-0-3

Elective

2(every other year)

ECE556

Parallel Algorithm & Architecture

3-0-3

Elective

2

ECE504

Wireless Communication System

3-0-3

Elective

2

ECE511

Silicon VLSI Technology

3-0-3

Elective

2

ECE571

Special Topics 2

3-0-3

Mandatory

2

ECE581

Research 2

3

3. Course Descriptions

  • Digital Signal Processing
    This course studies the transform theorems such as Z-transform, Discrete Fourier Transform, and Fast Fourier Transform. Also it covers the analysis and design techniques of digital filters. In addition, the issues on multi-rate DSP and linear prediction are included.
  • Random Process
    It deals with the probabilistic approach which is indispensable for the analysis of communication systems and signal processing areas. Topics include random variable, random process, correlation function, power spectral density and the concept of optimal filtering.
  • Special Topics on High-Speed Networks
    This course requires the understanding of basic data networks. It focuses on the queuing analysis and the issues on high speed networks. Queuing analysis covers single node model, such as, M/M/1, M/M/n, and M/G/1 queues, and queuing networks. High speed networks covers topics as follows: ATM related protocols, IPOA, MPOA, IP switching, MPLS, QoS, and traffic management.
  • VLSI Design
    Study on VLSI design methodology with the respect of system. Focus is given to the high-performance and low-powered system design methodologies with the consideration of wiring problems derived from complexity of system-on-chip & billion transistor system in current trend and deep submicon technology. Also next-generation microprocessor architecture trend is covered.
  • Wireless Communication System
    Study on the various RF system architectures used in recently burgeoning wireless communication, and characteristics of many kinds of the RF transceiver architectures through the comparison of each technology. In addition to, understand the required specifications of various RF parts including LNA, Up/Down Mixer, VCO, power amplifier, etc, based on the given system specifications such as the cove range and data rate. We also cover the technical trend of future wireless communication system.
  • Special Topics on Digital System Design
    This course studies systematic approaches to a complex system and hardware implementation method. Also it covers the topics such as trade-off of floating point calculation and static point calculation, low-cost hardware method using simulation. Especially it practices the total digital system design process through implementing an algorithm of communication and network system.
  • Microwave Active Devices and Circuits
    Study on the electrical characteristics and their models of the various solid devices used in microwave circuits including MESFETs, HFETs, HEMTs, etc. In addition to, research on the various RF circuit topologies such as LNA, up/down mixer, VCO and RF power amplifiers. We also exercise to get the practical RF circuit design skill through the microwave circuit design tools and device models.
  • Image Signal Processing
    It deals the various kinds of image and video signal processing techniques. Topics include the basic of digital imagery, transform domain analysis, enhancement, restoration, compression, and so on.
  • Internet Protocols
    This course focuses on the protocols related to Internet. It covers basic internet protocols, multicast protocols and advanced internet protocols, such as TCP, UDP, IP, OSPF, DVMRP, PIM, RMT, RTP, and RSVP.
  • Medical Imaging
    A study of several medical image modalities, including magnetic resonance (MR) imaging, positron emission tomography (PET), single photon emission computed tomography (SPECT), computer tomography (CT), and ultrasound; taught from signal processing point of view. Topics include an overview of the underlying physical processes; data acquisition, sampling, and quantization; image reconstruction techniques; relationships between the various modalities.
  • pecial Topics on Computer Architecture
    This course studies the design concept of instruction set, the design technique of control unit, the memory hierarchal structure, and I/O system structure. Also it covers the fault-tolerance, reliability, and queuing theory used to evaluate efficiency of computer system in high efficient computer.
  • Special Topics on Software Engineering
    Survey and discussion about major phases of software development such as specification, design, testing, and maintenance. The tools, techniques, and methodologies applied to software development process will also be discussed. The class material will also include the writing of papers on some special topics, and the theories and their application to software engineering environment and software development management. Such courses as software engineering, programming language theories, and object-oriented programming languages are pre-requisite courses prior to this course.
  • Internet Computing
    This course covers the Internet protocols and communication and computing applications related, including network programming on TCP/IP and UDP, a number of conventional Internet protocols, computing on client/server environment, and web programming and computing systems on Internet environments. Internet protocols, IP routing, application programs with TCP/IP protocols and UDP protocol, multicasting, RSVP, SNMP, HTTP, web-based computing and systems, RTP, and Java network programming are the issues covered.
  • Design Automation for VLSI
    The design complexity of the modern semiconductor requires an computer-aided design tool. This course covers the algorithms for the high level synthesis, logic synthesis, layout synthesis, and HDL simulation for the design automation of digital integrated circuit. In addition, reconfigurable computing, design methodology and design for testability for VLSI circuits will be studied. Some experiments with source codes of logic and layout synthesis tools will provide understanding on the EDA system.
  • Neural networks
    This course presents theory and implementation technology of artificial neural network models. Major topics include learning theory, models and application problems. Students are required to implement some existing models aiming at experiencing practical application problems.
  • Intelligent Information System
    The goal of this course is to provide students with the principles and techniques for implementing intelligent information systems. This course not only provides a thorough discussion of AI's technologies including expert system, fuzzy theory, neural networks and knowledge-based system, but also introduces the fundamental concepts of data mining, knowledge processing, and pattern recognition.
  • Computer Vision
    Analysis of images by computers. Specific attention given to analysis of the geometric features of objects in images, such as region size, connectedness and topology. Topics include: segmentation, template matching, motion analysis, boundary detection, region growing, shape representation, 3-D object recognition including graph matching.
  • Introduction to GIS and Its Technology
    It introduces the principles and structures of GIS (Geographic Information Systems) as well as the software technologies to build. This course also teaches how to process the data to produce the information and knowledge using various spatial processing techniques.
  • Remotely Sensed Image Processing and Analysis
    It introduces the methodologies to process and analyze the remotely sensed satellite imagery and arial photographs. These methodologies include the principles of remote-sensing, the satellite imagery, multispectral and high resolution image processing, change detection and classification theory.
  • Knowledge Information System Programming
    It introduces the programming technologies to build the knowledge and information system. It includes studying XML (eXtensible Markup language) derived from SGML and HTML. Building the KMS (Knowledge Management System) by using the Web programming technologies such as ASP, Scripting, DB and XML is also discussed.
  • Component-based Software Engineering
    Using such middle-wear technologies as CORBA and DCOM, the students are supposed to implement quality software considering code reuse and maintenance. The class is comprised of team project, paper writing, and presentation. The pre-requisite courses include software engineering, programming language theories, and object-oriented programming languages.
  • Distributed Object & Component Technology
    This course covers distributed object technologies and computing technologies on distributed system environments. The distributed object-oriented middleware with CORBA and DCOM, distributed object technologies with JavaBeans, EJB, components and framework technologies, business applications, middleware services, and a number of distributed applications are studied. On top of distributed object middleware and by means of components and frameworks, practical application systems are designed and studied.
  • Distributed Systems
    This course covers the issues on designing and studying distributed system architectures, distributed operating systems, and various applications on distributed systems and clustering systems. Also distributed computing systems and computing technologies are covered. Network communication and a number of protocols on networks and distributed systems, distributed algorithms, server systems, computer security, performance and modeling of a distributed system, client/server systems, P2P systems, scalable and reliable system organization, distributed resource management, synchronization, process scheduling, process migration, and other fundamental technologies on various distributed applications are studied.
  • Introduction to Parallel Processing
    The goal of this course is to provide students with the principles of parallel architectures and some parallel algorithmic approaches on parallel computing models. We deal with the basic computation model and their design principles, interconnection networks, memory issues, and application areas in parallel computing. Also, issues about job scheduling and processor allocation, load balancing, routing, mapping, communication, synchronization, scalability, fault tolerance, will be discussed.
  • Parallel Algorithm
    The goal of this course is to provide students with the principles in design and analysis of parallel and distributed algorithms in parallel and distributed computing environment. Related issues are the basic differences between sequential algorithm and parallel algorithms, and the main characteristics of parallel algorithms on different computing model and issues in design of parallel algorithms.
  • Special Topics on Multimedia systems
    This Course provides students with multimedia characteristics(audio, video, graphics, text) , the structure of multimedia systems, multimedia document architecture and data compression which are basic theory for design and implementation of multimedia system. And As further studies, Multimedia Streaming Technique, Internet Telephony, Distributed Virtual Environment, Multimedia networking, Multimedia database systems and networked multimedia applications are researched and discussed
  • Human-Computer Interaction
    This Course supports student with basic theory of Human computer Interaction. These include the issues of human factor and useability, interface format(menu, form, direct manipulation, command), techniques for implementation, tool and methodology. And Speech recognition, Speaker Recognition, Adaptive User Interface Technique, User Interface for Internet/Web. Etc are discussed.
  • Integrated Circuit Fabrication Processes
    For students interested in IC design and the influence of fabrication processes. Fundamental principles of integrated circuit fabrication processes, physical and chemical models for crystal growth, oxidation, ion implantation, etching, deposition, lithography, and metallization.
  • Principles and Models of Semiconductor DevicesFundamentals of carrier generation, transport, recombination, and storage in semiconductors. The physical principles of operation of the p-n junction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction field-effect transistors, and related devices such as CCDs and solar cells. First-order device models that reflect physical principles and are useful for integrated-circuit analysis and design.
  • Special Topics I and II
    These are non-regular courses that deals with the hot issues of new technology.