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					         Information for Graduate Study in
 Computer and Communication Networks Program
  College of Electrical and Computer Engineering
National Taiwan University of Science and Technology




         College of Electrical and Computer Engineering
       National Taiwan University of Science and Technology

                          October 2005
                              Contents

                                                                 Page


College of Electrical and Computer Engineering………………              1

Computer and Communication Networks Program ……………                 2

Faculty information……………………………………………..                            3

Course Information……………………………………………..                             20

Guidelines of Admission Application for International Students    41
    College of Electrical and Computer Engineering

     The College of Electrical and Computer Engineering of National
Taiwan University of Science and Technology was established on August 1,
1998, as a result of a reorganization of the university by bringing together
two well-established departments and instituting a computer science and
information engineering program. The teaching and research aims of the
College are (1) to produce skilled engineers, researchers, and experts in the
fields of electrical and computer engineering, (2) to work with other colleges
to promote the university into a comprehensive research entity, and (3) to
promote cooperation between the university and the local industries so as to
help upgrade their technology.

     The college has three departments: the Department of Electronic
Engineering, Department of Electrical Engineering, and Department of
Computer Science and Information Engineering. All departments offer
Master and PhD programs. The college has 89 full-time faculty members: 36
professors, 23 associate professors, 26 assistant professors, and 4 instructors.
Current enrollment is 2599, with 1440 in the undergraduate programs, 909 in
the master’s programs, and 250 in the Ph.D. programs. It also runs six
research centers, including the Internet Technology Center, the Center for
Opto-electronic    Science    and    Technology,     the   Telecommunication
Technologies Center, the Power and Energy System Research Center, the
Power Electronics and Motor Control Research Center, and the Patent and
Software Center.




                                     1
       Computer and Communication Networks Program
I.   Introduction
         The Computer and Communication Networks Program is an interdisciplinary
     program. The program is designed to familiarize students with technologies in computer
     engineering, communication networking, and how they are integrated to work in a
     complete system. We strongly emphasize the “system” aspect, i.e., the integration of
     technologies from both information and communication disciplines. We offer courses
     including basic communication theories and technologies, wireless communication,
     computer science and engineering, mobile computing, and networking technologies.

II. Courses
         The courses offered are listed below. Students are required to complete 24 credits
     along with a Master thesis in order to be qualified for a Master Degree and are required
     to complete 18 credits along with a Ph.D. thesis in order to be qualified for a Ph.D.
     Degree.
               Category                            Course                    Credit
                             Detection and Estimation                           3
         Communication       Digital Communication Systems                      3
                             Digital Transmission Techniques                    3
                             Computer Architecture                              3
                             Graph Theory                                       3
                             Image and Video Processing                         3
                             Data Compression with Applications                 3
                             Parallel Processing                                3
         Computer                                                               3
                             Very Large Scale Integrated Circuit Design
         Engineering
                             Advanced Database Systems                          3
                             Knowledge-Based Systems                            3
                             Computational Geometry                             3
                             Machine Learning                                   3
                             Bioinformatics                                     3
                             Advanced Computer Communication Networks           3
                             Computer Communication Networks                    3
         Computer            Data Communication                                 3
         Networks            Mobile Computing                                   3
                             Wireless Communication                             3
                             Network Performance Analysis and Simulation       3
         Total                                                                 60



                                              2
                        Faculty information for the
      Computer and Communication Networks Program
                          List of Faculty Members

  Name       Title          Degree           Major Fields            Course

                                        Transmitter Design for
                         Ph.D. in EE,
                                        Nonlinear Systems,       Digital
Li-Chung    Assistant      Purdue
                                        Wireless                 Transmission
 Chang      Professor     University,
                                        Communications, Signal   Techniques
                           U.S.A.
                                        Processing

                                                                 Computer
                                        Design and Analysis of   Communication
                         Ph.D. in EE,
Jean-Lien                               Communication,           Networks
                           Cornell
  Chen      Professor                   Protocols in Mobile,
                          University,
                                        Communication            Advanced
                           U.S.A.
                                        Systems and Internet     Computer
                                                                 Communication
                                                                 Networks
                                        Fuzzy Information
                                        Systems, Artificial
                                        Intelligence, Database
                        Ph.D. in EE,    Systems, Expert
Shyi-Ming                                                        Knowledge-Based
            Professor National Taiwan   Systems, Genetic
  Chen                                                              Systems
                        University      Algorithms,
                                        World-Wide-Web, Data
                                        Mining, Neural
                                        Networks
                                        Protocol Design and
                                        Performance Analysis     Data
                     Ph.D. in CE,       for Wireless             Communication
Ray-Guang Assistant
                    National Chiao      Communication
  Cheng   Professor
                    Tung University     Systems and              Wireless
                                        High-Speed Multimedia    Communication
                                        Networks




                                        3
                                          Image/Video
                                                                     Image and
                                          Processing,
                                                                     Video
                                          Image/Video
                          Ph.D. in CS,                               processing
                                          Compression,
Kuo-Liang                 National
            Professor                     Multimedia
 Chung                    Taiwan                                     Data
                                          Applications,
                          University                                 Compression
                                          Pattern Recognition,
                                                                     with
                                          Multimedia Security,
                                                                     Applications
                                          Data Compression
                                          Wireless
                                          Communications,
                        Ph. D. in EECS,
Wen-Hsien                                 Array             Signal
                         University of                               Detection and
  Fang    Professor                       Processing,
                        Michigan, Ann                                Estimation
                                          Adaptive          Signal
                         Arbor, U.S.A.
                                          Processing,
                                          Image/Video Coding

                                      High-Speed Network,
                                      Wireless                       Mobile
                                      Communication                  Computing
                       Ph.D. in EE,   Network/Mobile
Huei-Wen    Associate
                      National Taiwan Computing, Voice over          Network
 Ferng      Professor
                        University    IP (VoIP)                      Performance
                                      Performance Analysis,          Analysis and
                                      Internet, Queuing              Simulation
                                      Theory, Simulation
                                      Techniques

                                          Parallel Processing and
                                          Fault         Tolerance,
                                                                     Parallel
                         Ph.D. in CS,     Multimedia and Music
 Shi-Jinn                                                            Processing
            Professor   National Tsing    Synthesizer,   Network
  Horng
                        Hua University    Security, VLSI Design,
                                                                     Graph Theory
                                          Mobile Communication,
                                          Medical Applications

                       PhD in AMS,
                      State University Geometric algorithms,
            Assistant                                                Computational
Tien-Ruey             of New York at Sensor Networks, Motion
            Professor                                                Geometry
 Hsiang                Stony Brook, Planning, Optimization
                            USA




                                          4
                                         Applications of
                        Ph.D. in EECS,
                                         Wavelets to Digital        Digital
Kuen-Tsair Associate     Northwestern
                                         Communication and          Communication
   Lay     Professor      University,
                                         Digital Image              Systems
                            U.S.A.
                                         Processing

                       Ph.D. in CS,                                 Machine
                                      Machine Learning,             Learning
Hsing-Kuo   Assistant   New York
                                      Computer Vision,
   Pao      Professor University, New                               Bioinformatics
                                      Bioinformatics
                       York, USA.
                                          Low Power System
                                          Design, Deep Submicro     Computer
                                          Technique for Crosstalk   Architecture
                          Ph.D. in EE,
Shanq-Jang Assistant                      Reduction, Computer
                        National Taiwan
  Ruan     Professor                      Organization and          Very Large
                           University
                                          Architecture, Low         Scale Integrated
                                          Power Image Processing    Circuit Design
                                          Algorithm and System
                                          Spread Spectrum,
                          Ph.D. in EE,    Communication,
Huan-Chun
          Assistant     National Chung Mobile Communication,        Wireless
  Wang
          Professor          Cheng        Communication Theory,     Communication
                           University     Communication
                                          Transceiver Design
                          Ph.D. in CS,
                                                                    Advanced
 Yi-Leh     Assistant    University of
                                          Computer Science          Database
  Wu        Professor   California, Santa
                                                                    Systems
                         Barbara, USA.




                                          5
   Major Research Interests of the Faculty Members

 Name                   Degree                      Major Fields

                                           Transmitter Design for Nonlinear
Li-Chung            Ph.D. in EE,
                                         Systems, Wireless Communications,
 Chang       Purdue University, U.S.A.
                                                   Signal Processing

 Major research topics include:
   1.    Power amplifier linearization techniques including predistortion
         design
   2.    DSP implementation of baseband predistorter
   3.    Efficiency enhancement transmitter architecture
   4.    Signal design and coding
   5.    Joint transmitter-receiver optimization
   6.    Adaptive algorithms




                                     6
 Name                   Degree                       Major Fields
                                           Design and Analysis of
                    Ph.D. in EE,
Jean-Lien                                  Communication, Protocols in
                 Cornell University,
  Chen                                     Mobile, Communication Systems
                       U.S.A.
                                           and Broadband Internet
 Major research topics include:
   1.    QoS guarantee for multimedia application in a diff-serv Internet
   2.    Power saving broadcasting in mobile stations
   3.    Resource allocation and power saving schemes in wireless
         communication
   4.    Wireless sensor networks : routing, information distribution and
         searching and clustering




                                       7
 Name                    Degree                       Major Fields
                                           Fuzzy Information Systems,
                    Ph.D. in EE,
Shyi-Ming                                  Artificial Intelligence, Database
                  National Taiwan
  Chen                                     Systems, Expert Systems, Genetic
                       University
                                           Algorithms, Data Mining
  Major research topics include:
    1.   Fuzzy Reasoning
    2.   Fuzzy Database Systems
    3.   Fuzzy Information Retrieval
    4.   Fuzzy Decision-Making
    5.   Fuzzy Expert Systems
    6.   Machine Learning
    7.   Data Mining
    8.   Genetic Algorithms
    9.   Neural Networks
    10. World Wide Web
    11. Bioinformatics Systems




                                       8
  Name                 Degree                       Major Fields
                                         Protocol Design and Performance
                    Ph.D. in CE,         Analysis for Wireless
Ray-Guang
               National Chiao Tung       Communication Systems and
 Cheng
                     University          High-Speed Multimedia
                                         Networks
  Major research topics include:
    1.   Radio resource management (RRM) and medium access control
         (MAC) for WLAN and 3GPP systems (GSM/GPRS/UMTS)
    2.   Interworking and energy-efficient technologies for 3GPP/WLAN
         dual-mode system
    3.   Quality of service (QoS) control for high-speed multimedia
         networks
    4.   Performance analysis, protocol design, and conformance testing




                                    9
 Name                  Degree                        Major Fields
                                         Image/Video Processing,
                                         Image/Video Compression,
                   Ph.D. in CS,          Multimedia Applications,
Kuo-Liang
                  National Taiwan        Pattern Recognition, Multimedia
 Chung
                    University           Security,
                                         Data Compression and Coding
                                         Theory
  Major research topics include:
    1.   Image Retrieval
    2.   Image/Video Compression and Error Correction
    3.   Image Enhancement and Restoration
    4.   Multimedia Security
    5.   Pattern Recognition
    6.   Data Compression and Coding Theory




                                    10
  Name                  Degree                       Major Fields
                                           Wireless Communications, Array
                  Ph. D. in EECS,
Wen-Hsien                                  Signal Processing, Adaptive
              University of Michigan,
  Fang                                     Signal Processing, Image/Video
                 Ann Arbor, U.S.A
                                           Coding
  Major research topics include:
    1.   Signal processing in wireless communications
    2.   Array signal processing: beamforming and channel parameters,
         such as direction of arrival and time delay, estimation
    3.   Adaptive signal processing: adaptive mechanism and its low
         complexity implementations
    4.   Image/video coding: motion estimation and wavelet coding




                                     11
 Name                   Degree                      Major Fields
                                          High-Speed Network, Wireless
                                          Communication Network/Mobile
                    Ph.D. in EE,
Huei-Wen                                  Computing, Voice over IP(VoIP)
                  National Taiwan
 Ferng                                    Performance Analysis, Internet,
                     University
                                          Queuing Theory, Simulation
                                          Techniques
 Major research topics include:
 communication networks/mobile computing, including:
   1.    Next generation Internet (NGI)
   2.    Protocol design
   3.    Mobile Internet
   4.    Mobile data and wireless LAN
   5.    Third generation (3G) wireless mobile communication network
   6.    Voice over IP (VoIP)




                                    12
Name                    Degree                       Major Fields
                                           Parallel Processing and Fault
                                           Tolerance, Multimedia and Music
                    Ph.D, in CS,
Shi-Jinn                                   Synthesizer, Network Security,
                 National Tsing Hua
Horng                                      VLSI Design, Mobile
                     University
                                           Communication, Medical
                                           Applications
 Major research topics include:
   1.      Parallel processing and fault tolerance: to design a new parallel
        architecture and a computer with fault tolerance.
   2.   Multimedia and music synthesizer: to design an efficient way for
        the multimedia system and a high fidelity music synthesizer.
   3.   Network security: to design an intrusion detection system including
        backdoor detector, covert channel detector and DDOS attack
        detector.
   4.   VLSI design: to design an SoC chip for the commercial products
        such as finger print recognition, Face recognition, and iris
        recognition systems.
   5.   Mobile communication: to design a wireless communication that
        provides good QoS.
   6.   Medical applications: to design a pregnant recognition system.




                                      13
 Name                    Degree                    Major Fields
                      PhD in AMS,
                                            Geometric algorithms, sensor
Tien-Ruey      State University of New
                                            networks, motion planning,
 Hsiang         York at Stony Brook,
                                                   optimization
                         USA
  Major research topics include:
    1.    multi-agent robotics
    2.    sensor networks
    3.    other geometry-related problems




                                    14
  Name                  Degree                      Major Fields
                  Ph.D. in EECS,          Applications of Wavelets to
Kuen-Tsair
              Northwestern University, Digital Communication and
   Lay
                       U.S.A.             Digital Image Processing
  Major research topics include:
    1.   Wavelet-based CDMA
    2.   Resource-allocation in multi-channel communication
    3.   Application of wavelets in source-channel coding
    4.   Application of wavelets in image registration
    5.   Application of wavelets in watermarking




                                    15
 Name                      Degree                    Major Fields
                    Ph.D. in CS,
Hsing-Kuo                                   Machine Learning, Computer
               New York University,
  Pao                                       Vision, Bioinformatics
                  New York, USA.
  Major research topics include:
    1.   Graphical models, decision trees
    2.   Low-level vision, figure/ground separation, motion estimation &
         object tracking
    3.   Multiple sequence alignment, ortholog detection, structural biology




                                    16
  Name                 Degree                      Major Fields
                                         Low Power System Design, Deep
                                         Submicro Technique for
                    Ph.D. in EE,
Shanq-Jang                               Crosstalk Reduction, Computer
                  National Taiwan
  Ruan                                   Organization and Architecture,
                     University
                                         Low Power Image Processing
                                         Algorithm and System.
  Major research topics include:
    1.   Low power logic circuit synthesis and design.
    2.   Crosstalk reduction for bus by static and dynamic encoding.
    3.   Software power analysis for embedded system.
    4.   Low power DCT and DWT algorithms.




                                    17
 Name                   Degree                    Major Fields
                                         Spread Spectrum Communication
                     Ph.D. in EE,
Huan-Chun                                Mobile Communication,
               National Chung Cheng
  Wang                                   Communication Theory,
                      University
                                         Communication Transceiver Design
  Major research topics include:
    1.   GPRS/WCDMA transceiver design.
    2.   PN code synchronization for CDMA systems on multi-path fading
         channels.
    3.   Synchronization and radio resource management for OFDM
         systems.




                                    18
Name                    Degree                    Major Fields
                    Ph.D. in CS,
Yi-Leh
              University of California,   Computer Science
 Wu
                Santa Barbara, USA.
Major research topics include:
  1.     Database systems
  2.     Data mining
  3.     Multimedia database
  4.     Information retrieval




                                    19
                         Course Information for
        Computer and Communication Networks Program
                                  Course List
            Fall Semester                          Spring Semester
Digital Transmission Techniques       Detection and Estimation
Image and Video Processing            Digital Communication Systems
Parallel Processing                 Computer Architecture
Very Large Scale Integrated Circuit
                                    Graph Theory
Design
Advanced Database Systems           Data Compression with Applications
                                    Advanced      Computer   Communication
Knowledge-Based Systems
                                    Networks
                                    Network     Performance  Analysis  and
Computational Geometry
                                    Simulation
Computer Communication Networks     Bioinformatics
Data Communication

Mobile Computing

Wireless Communication
Machine Learning




                                      20
                               Fall Semester
  Code        Course Title                           Content                      Professor
                               Signals and Detection, Digital Modulation
                 Digital       Techniques, Estimation: Concepts and
EE5913701                                                                         Li-Chung
              Transmission     Criteria,        Linear    Adaptive    Filtering
                                                                                   Chang
               Techniques      Algorithms,               Power       Amplifier
                               Linearization


Introduction to the Course:
This course serves as an introduction to various techniques behind modern digital
communication systems, with focus being placed on wireless applications. Topics
covered include fundamentals of discrete data transmission including detection,
digital modulation techniques, basic concepts and criteria of estimation, linear
adaptive filtering algorithms such as least mean squares and recursive least squares
and their applications, and linearization techniques for nonlinear power amplifiers.
Examples from current research are used when applicable.




                                           21
  Code         Course Title                    Content                         Professor
                              Color Models, Sampling Theory, Quality
                              Improvement,            Edge       Detection,
            Image and Video   Thresholding,     Region        Segmentation, Kuo-Liang
CS5071701
            Processing        Shape   Detection,      Shape    Description,     Chung
                              Matching,     Spatial     Data     Structures,
                              Clustering, Image Compression


Introduction to the Course:
This course first will introduce basic image processing techniques, such as Color
Models, Sampling Theory, Quality Improvement, Edge Detection, Thresholding,
Region Segmentation, Shape Detection, Shape Description, Matching, Spatial Data
Structures, and Clustering. Secondly we will introduce some preliminary
background for video processing.




                                       22
  Code         Course Title                      Content                      Professor
                                Introduction, Memory System, Shared
                                Memory Computer, Pipeline and Vector
                                                                              Shi-Jinn
CS5020701 Parallel Processing Processing,          Array         Processor,
                                                                               Horng
                                Multiprocessor   Architecture,    Dataflow
                                Computer, Applications


 Introduction to the Course:
 As we know, the speed of a conventional computer is limited. There are lots of
 applications such as weather forecast, missile control system, genome and etc which
 require much of computation computer and all cannot be done in real time through
 a conventional computer. The only way to increase the computation power of a
 computing system is through the parallel processing. The content of this course
 includes: Introduction, Memory System, Shared Memory Computer, Pipeline and
 Vector Processing, Array Processor, Multiprocessor Architecture, Dataflow
 Compute, Applications.




                                         23
  Code        Course Title                       Content                      Professor
                               Introduction, The manufacture Process,
                               The   Devices     and   Wire,      Designing
                               Combinational      Logic      in     CMOS,
            Very Large Scale   Designing Sequential Logic in CMOS
ET5302701                                                                     Shanq-Jang
            Integrated Circuit Multiprocessor,             Implementation
                                                                                Ruan
            Design             Strategies for Digital ICs, Coping with
                               Interconnect, Timing Issues, Designing
                               Arithmetic Building Blocks, Designing
                               Memory Structures


Introduction to the Course:
Three hours of lecture per week. This course introduces modern VLSI design issues
and mainly focuses on: the development of VLSI, the manufacture process, the
devices and wire, designing combinational logic in CMOS, designing sequential
logic in CMOS, implementation strategies for Digital ICs, coping with interconnect
for deep submicro, timing issues, designing arithmetic building blocks, designing
memory structures. Term paper and project are required for this course.




                                        24
  Code        Course Title                     Content                  Professor
            Advanced Database                                            Yi-Leh
CS5095701                        Advanced Topics in Database Systems
            Systems                                                        Wu


Introduction to the Course:
This course covers on-going trends in database systems, focusing on illustrating
new research directions and current problems. The course pre-requisite is CS
3010301 or equivalent background understandings in database systems. We will
study a collection of papers, some of these are classics papers of relational
databases in early days. Others are more recent papers that cover a wide spectrum
of research areas in database systems.




                                         25
  Code         Course Title                        Content                       Professor
                                 Introduction, Production Rules, Fuzzy
                                 Production Rules, Expert Systems, Fuzzy
                                 Expert Systems, Fuzzy Sets and Natural
            Knowledge-Based Language,            Approximate      Reasoning, Shyi-Ming
CS5023701
            Systems              Possibility and Probability, Translation          Chen
                                 Rules, Uncertainty in Fuzzy Expert
                                 Systems,        The     Applications       of
                                 Knowledge-Based Systems


Introduction to the Course:
This course covers the following topics: Introduction, Production Rules, Fuzzy Production
Rules, Expert Systems, Fuzzy Expert Systems, Fuzzy Sets and Natural Language,
Approximate Reasoning, Possibility and Probability, Translation Rules, Uncertainty in
Fuzzy Expert Systems, The Applications of Knowledge-Based Systems.




                                            26
  Code        Course Title                    Content                     Professor
                              Convex Hulls, Line Segment Intersection,
                              Polygon Partitioning, Point Location,
                                                                          Tien-Ruey
             Computational    Arrangements    and   Duality,   Voronoi
CS5090701                                                                  Hsiang
                Geometry      Diagrams,     Delaunay    Triangulations,
                              Binary Space Partitions, Supplemental
                              Topics


Introduction to the Course:
This class introduces geometric algorithms and their real-life applications. The
algorithms studied in this course are typically used in many areas, such as
geographic information systems, CAD/CAM, data mining, graphics, medical
imaging and robotics, etc.




                                       27
  Code        Course Title                       Content                      Professor
                               Introduction,   Communication      Network
           Computer
                               Techniques,     Communication     Protocols Jean-Lien
ET5403701 Communication
                               and      Architecture       Internetworking,     Chen
           Networks
                               Transport Protocol


Introduction to the Course:
In this course, we will first introduce the standard architecture of communication
networks, including the ISO 7-layer architecture and the TCP/IP architecture. We
then will go over the details of the design issues in each layer, the physical layer,
the MAC layer, the DLC layer, the network layer and possibly the transport layer. It
is required for each student to survey the literatures about new standards or RFCs
and submit a report.




                                         28
  Code        Course Title                         Content                   Professor
                                Introduction, Protocols and Architecture,
                                Data Transmission, Transmission Media,
            Data                                                             Ray-Guang
ET5101701                       Data Encoding, Data Communication
            Communication                                                     Cheng
                                Interface,        Data   Link     Control,
                                Multiplexing


Introduction to the Course:
In this course, we will first introduce the basic principle of data communication
networks. The main focus of this course would be the layer 1 and layer 2
technologies defined by OSI. In the physical layer, we will go over the details of the
design issues of data transmission, transmission media, data encoding, and data
communication interface. Then we will focus on the OSI layer 2 topics, including
data link control, multiplexing, circuit switching, packet switching etc. Home work,
term papers or projects are required for each student.




                                             29
  Code        Course Title                       Content                     Professor
                                Introduction, Probability, Statistics, and
                                Traffic Theories, The Cellular Concept,
                                                                             Huei-Wen
CS5065701 Mobile Computing Channel Allocation, Existing Wireless
                                                                              Ferng
                                Systems, Wireless LANs and PANs, Ad
                                Hoc and Sensor Networks


Introduction to the Course:
Recently, wireless (communication) networks, techniques, and industrials grow
extensively. Hence, this course will offer concepts, network architecture,
communication protocols, and evaluation tools pertinent to this area. Topics to be
included are 1) Introduction, 2) Probability, Statistics, and Traffic Theories, 3) The
Cellular Concept, 4) Channel Allocation, 5) Existing Wireless Systems, 6) Wireless
LANs and PANs, 7) Ad Hoc and Sensor Networks.




                                          30
  Code         Course Title                       Content                    Professor
                                 Introduction, Wireless Communication
                                                                             Ray-Guang
                                 Concepts,     Wireless     Communication
                                                                              Cheng
            Wireless             Architecture, Digital Signal Processing
ET6207701
            Communications       for Wireless Communication, Physical
                                                                             Huan-Chun
                                 Layer,   Radio     Interface   Protocols,
                                                                               Wang
                                 Network Planning


Introduction to the Course:
In this course, we will first introduce the basic principle of wireless communication
systems. The system architecture, physical layer, communication protocols, and
network planning for cellular communication systems will be illustrated. The
system architecture of a wireless communication system will be introduced first.
The digital signal processing techniques and its application will be addressed in the
section of physical layer. The radio interface protocol would cover the operation of
layer 2 and layer 3 stacks for the radio interface. At the end of this course, the
network planning related issues are discussed. Home work, term papers or projects
are required for each student.




                                          31
  Code        Course Title                    Content                  Professor
                              Introduce Machine Learning Theory and
                                                                      Hsing-Kuo
CS5087701 Machine Learning Approaches Applicable to Real World
                                                                          Pao
                              Problems


Introduction to the Course:
The idea of classification/regression, decision trees, neural networks, Bayesian
modeling, clustering, etc




                                         32
                               Spring Semester

  Code        Course Title                       Content                   Professor
                                Linear Algebra and Matrix Computations,
            Detection and       Cramer- Rao Lower Bound, Maximum Wen-Hsien
ET6505701
            Estimation          Likelihood Estimation, Least Squares         Fang
                                Methods, Bayesian Estimation


Introduction to the Course:
This course will cover the fundamentals of digital estimation theory. First, we will
review some mathematical background required for this course, including the
rudiments of linear algebra, matrix computations, and probability theory. We will
then introduce the classical estimation theory, which include the minimum variance
unbiased estimators, Cramer-Rao lower bound, best linear unbiased estimator
(BLUE), and principles of maximum likelihood estimation. After that, we will
consider the least squares methods, followed by modern Bayesian estimators. The
techniques of minimum mean square error estimation (MMSE), maximum a
posteriori estimators, and linear Bayesian estimator in particular the Wiener filters
and the Kalman filters, will be addressed in details.




                                          33
  Code        Course Title                    Content                    Professor
                              Introduction,   Baseband   Transmission,
          Digital
                              Digital    Modulation,     Coding   and Kuen-Tsair
ET7102701 Communication
                              Encryption, Synchronization, Multiple        Lay
          Systems
                              Access, Wireless Communication


Introduction to the Course:
In this course, we first make an overview of a digital communication system.
Techniques for data transmission over baseband and passband channels,
respectively, Are then investigated. Next, we cover the issues of coding, which
include error control and encryption. Synchronization, which is essential to any
communication, is then addressed. Next, various multiple access techniques, with
emphasis on CDMA, are presented. Finally, an introductory lecture on wireless
communication is given. It is required that the student taking the course have
knowledge in probability.




                                        34
  Code         Course Title                           Content                     Professor
                                 Introduction, Instruction Set, Pipelining,
            Computer                                                              Shanq-Jang
ET5407701                        Memory           Hierarchy,    Multiprocessor,
            Architecture                                                            Ruan
                                 Parallel Processing


Introduction to the Course:
Three hours of lecture per week. A prerequisite of this course is Computer
Organization. This course survey of contemporary computer organizations and
architecture covering: early systems, CPU design, instruction sets, processors,
buses, ALU, memory hierarchy, pipelined computers, multiprocessors, and case
studies. Term paper or project required. This course focuses on the techniques of
quantitative analysis and evaluation of modern computing systems, such as the
selection of appropriate benchmarks to reveal and compare the performance of
alternative design choices in system design. The emphasis is on the major
component subsystems of high performance computers: pipelining, instruction level
parallelism,    memory        hierarchies,    input/output,       and    network-oriented
interconnections.




                                             35
  Code          Course Title                         Content                     Professor
                               Introduction, Paths and Circuits, Tree and
                               Fundamental Circuits, Cut-Sets and Cut
                                                                                 Shi-Jinn
CS5027701       Graph Theory   Vertices,        Planar   and   Dual   Graphs,
                                                                                  Horng
                               Coloring,        Covering   and   Partitioning,
                               Applications


Introduction to the Course:
Graph theory is a fundamental technique that can be used in the real world. We can
use it to model the architecture of hardware and the certain aspects of software.
Especially, in the study of graphs, it soon becomes evident that efficient algorithms
are necessary for solving problems of any significant magnitude. The content of this
course includes: Introduction, Paths and Circuits, Tree and Fundamental Circuits,
Cut-sets and Cut Vertices, Planar and Dual Graphs, Networks, Matchings and
Factorizations, Coloring, Covering and Partitioning, External Graph Theory,
Applications.




                                           36
  Code         Course Title                        Content                     Professor
                                JPEG Outline, DCT Transform, Vector
                                Quantization,        Prediction      Coding,
            Data Compression                                                   Kuo-Liang
CS5085701                       Huffman Coding, Arithmetic Coding,
            with Applications                                                   Chung
                                Wavelet        Transform,    MPEG,     Text
                                Compression, Fractal Compression


Introduction to the Course:
This course will introduce basic image, video, and data compression techniques,
such as JPEG outline, DCT Transform, Vector Quantization, Prediction Coding,
Huffman Coding, Arithmetic Coding, Wavelet Transform, MPEG, Text
Compression, Fractal Compression.




                                          37
  Code        Course Title                           Content                   Professor
            Advanced           Basic      Queuing      Theory,   Performance
            Computer           Analysis        and    Simulation    of   the Jean-Lien
ET6502701
            Communication      Communication Network Flow Control,               Chen
            Networks           Asynchronous Transfer Mode Networks


Introduction to the Course:
The prerequisite course is Computer Communication Networks. In this course, we
will focus on the advanced topics such as the high-speed broadband networks and
the performance analysis of network systems.           The basic queuing theory and
mathematical models will be introduced to the students. Some important network
protocols will be studied and analyzed.




                                          38
  Code          Course Title                        Content                   Professor
            Network                Review of Probability and Statistics,
            Performance            Performance      Analysis    Using   the Huei-Wen
CS5091702
            Analysis and           Mathematical     Approach,    Simulation    Ferng
            Simulation             Techniques, Case Studies


Introduction to the Course:
This course concerns how to evaluate the performance for wired/wireless networks
through a mathematical approach or a simulation approach. For both approaches,
tools can be developed based on probability and statistics. To achieve the above
goal, four parts are included. These parts are:
Part I: Review of Probability and Statistics
Part II: Performance Analysis Using the Mathematical Approach
Part III: Simulation Techniques
Part IV: Case Studies




                                               39
  Code        Course Title                      Content                 Professor
                               Introduce the Computational Approaches
                                                                        Hsing-Kuo
CS5084701 Bioinformatics       Applicable to Genomic and Proteomic
                                                                           Pao
                               Problems


Introduction to the Course:
Pairwise alignment, multiple sequence alignment, phylogenetic tree, RNA structure,
protein structure, SNP, haplotype reconstruction, microarray analysis




                                          40
      Guidelines for International Students Applying to NTUST
     (For Graduate Study in Computer and Communication Networks
        Program, College of Electrical and Computer Engineering)
                               English-speaking program

1.    This program is offered only to applicants who do not have overseas Chinese status, or
      Hong Kong and Macau citizen status, and who do not hold a Republic of China
      passport.

2.    International students with a bachelor’s degree are eligible to apply for master’s
      programs; students with a master’s degree are eligible to apply for Ph.D. programs.

3.    International students who have already completed the application process for a degree
      program, or who have been expelled from any R.O.C. university, are not eligible to
      re-apply for admission. Breaking either of the above rules would result in immediate
      cancellation of the applicant’s admission or the applicant will be deprived of his
      recognized status as a student of NTUST.

4.    Applicants can apply for the Taiwan Scholarship through diplomatic offices of
      Republic of China before they come to Taiwan. International students with a
      bachelor’s/master’s degree are eligible to apply for graduate study in Master’s/Ph.D.
      programs at NTUST. Among the admitted students, the selected ones will be offered
      scholarship. For the first year, Master’s/Ph.D. program students can be offered
      NT$10,000/15,000 per month for 12 months. For the second year, the scholarship will
      be offered to the distinguished students. Tuition and fees will be waived.

5.    Applicants are required to submit application forms with required documents to
      NTUST before the end of March of each year. Application forms can be down-loaded
      from our web-site (http://www.ntust.edu.tw/~academic/graduate/910111-1231.doc).
           Late application will not be accepted.


         A)   Two copies of the completed application form.

         B) One official photocopy of the B.S. diploma and its English translation should
            be submitted for applying to the M.S. program. For applying admission to
            Ph.D. program, both B.S. and M.S. diplomas as well as their English
            translation are required. Applicants who are expecting their degrees must
            submit the diploma when they report to NTUST; otherwise, their admission
            will be cancelled.


                                              41
       C)   One official transcript of academic records in English, which should bear the
            official seal of the school attended and be officially sealed in an envelope by
            the school.

       D)   Two letters of recommendation.

       E)   A Health Certificate from a hospital within the past 6 months. The
            examinations should include the following items:
              (b) Chest X-Ray for Tuberculosis (Standard film only).
              (c) Serological Test for HIV.
              (d) Hepatitis B Surface Antigen Test.
              (e) Stool Examination for Parasites (Includes Entameba histolytic)
                  (Merthiolate-Iodine-Formaldehyde method, MIF method).
              (f) Serological Test for Syphilis

       F)   A study plan in English.

       G) The application fee of NT$750 or US$35, to be remitted to the Cashier Section
          of NTUST or to the NTUST bank account by telegram transfer to:
          Name of the Bank: First Commercial Bank, Ku Ting Branch
          Address: No. 50, Roosevelt Rd., Sec. 3, Taipei, Taiwan 106, Republic of China
          Account: National Taiwan University of Science and Technology
          Account number: 17130050508
          (Please attach a copy of the bank telegram transfer receipt)

       H)   A financial statement.

       I)   A completed form of authorization for verification.


6.   Each academic year begins on August 1 and ends on July 31 of the following year.
     The fall semester usually begins around mid- or late-September, and the spring
     semester begins in late February of the following year.

7.   For more information, please contact Professor Shyi-Ming Chen, College of Electrical
     and Computer Engineering through Tel: 886-2-27376417, Fax: 886-2-27376428 or
     E-mail: smchen@et.ntust.edu.tw.

8.   The following tuition rates apply only to the 2004 academic year. The rates are
     expected to rise annually thereafter. The exchange rate between New Taiwan dollar
     (NT$) and U.S. dollar (US$) on Oct.1, 2004 is 1 US$ = 34.11 NT$




                                            42
a) Tuition and fees:
             Rates                              Credit fee per semester
                               Tuition
                                              Master’s         Doctoral
     College of Electrical
       and Computer          NT$12,900       NT$9,120         NT$6,840
         Engineering


b) Dormitory: Registered graduate students may obtain a room in the dormitory
(shared with other graduate students). The cost is around NT$7,000 per semester.




                                 43
    National Taiwan University of Science and Technology

                                 Application for Admission
                                Academic Year 2005~2006                      Attach a recent

                              No. 43, Keelung Road, Section 4,               photograph here
                                                                               about 1”x2”
                                    Taipei, Taiwan 106
                                     Republic of China
                       http://www.ntust.edu.tw/~ntustw3e/news1.htm
                 http://www.ntust.edu.tw /~academic/graduate/910111-1231.doc




TO THE APPLICANT: Read carefully and complete.            Please type or print clearly.


Full name
                 (First)       (Middle)         (Last)
Home address                                                    Telephone

                                                                           Telephone
Mailing address                                          (zip code)
                                                                           E-mail

                                                                           Sex   □   Male
Place of birth                    Date of birth      /    /
                                              (month) (day)      (year)
                                                                                 □   Female

Nationality                       ID No.                              Passport No.

Name and address of legal guardian




                                           44
                                                                    Graduate school
Degree                         College or University
                                                                    (MA Program)
Name of school

City & country

Degree granted

Graduate year

Major

Minor



 What department or graduate school do you expect to study at NTUST?_______________

 When do you intend to begin your studies at NTUST?

 What degree do you plan to pursue?

         □          Master’s          □    Doctorate



 How will you finance the major portion of your study at NTUST?

        □ Personal savings                  □     Scholarship


        □     Parental support              □     Other (Specify)



 Will you apply for financial aid available to international graduate students?
             Yes                                  No



 If you have a health problem, please describe it.




                                             45
     Previous Employment(s)


    Please use a separate paper and write a statement of about 300 words in English, stating
    your motives and plans for study at NTUST.


    Please check the items that you have submitted and send them to the Office of Graduate
    Studies before the end of March.
                           Items                     copy                               Items           copy

               Application for admission                2                      Study plan                1

               Official photocopy of the
                                                        1                      Financial statement       1
               diploma
               English translations of the
                                                        1                      Authorization             1
               diploma
                                                                               TOEFL records or proof
               Academic records                         1                                                1
                                                                               of English proficiency
                                                                               Application fee
               Letter of Recommendation                 2                                                1
                                                                               (NT$750 or US$35)
               Health certificate*                      1
* This health certificate can be submitted after receiving the letter of acceptance.




                                                         46
 Note: NTUST Regulation No.8 states: “If the documents submitted by new students for
 admission are found to be forged, fraudulent or altered, etc., the student’s acceptance for
 admission or student status will be revoked. No other documentation of this will be
 provided beyond notification of the student’s parent or guardian.




   Applicant’s signature                                             Date




Do not write below this line______________________________________________________________




                                    Opinion of Referees:


  Agree

     □    Master’s


     □    Doctorate

    Disagree, the reasons are as follows:




Provost                          Dean                                Chairman




                                              47
                        AUTHORIZATION FOR VERIFICATION

 I authorize National Taiwan University of Science and Technology (NTUST) to verify the
 information I have provided:

  educational institutions,


  persons,


  others



 To release information they may have about me, they should not be held responsible for
 any legal liability.




Signature (Full Name)


Print Full Name


Social Security Number


University (Graduate School) Student ID Number

Date of Birth

Date




                                           48

				
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