Master Degree Program in Information and Communication Engineering System
Discipline code: 0810
Ⅰ. ADMISSION
The School of Computer Science and Communication Eng.
Strong emphasis is placed on developing the student’s ability to initiate and carry out original research projects. The research programs of the school encompass the major of communication theory and application technology. Students who want to pursue their master degrees in the above mentioned majors of our faculty should:
--- Have the academic qualification admitted by Jiangsu University.
--- Have obtained a bachelor degree in communication engineering or in related major before enrolling as a master candidate.
Ⅱ. GOAL
Goal of the major is to orient and train the students on different aspects of information and communication engineering systems. They should be able to apply this training at secondary and tertiary level of chemistry. Aiming to be high-level information and communication related expertise.
Ⅲ. OBJECTIVES
In order to achieve the goal of Information and Communication Engineering System, High-level personnel engaged in the research, development and teaching of information and communication engineering systems will be cultivated. Degree recipients should have a solid theoretical foundation of information and communication engineering systems, in-depth understanding of domestic and international communications systems, equipment, new technologies and development trends in communications networks, relevant professional knowledge of modern information and communication engineering are mastered by systems and proficiency, and there is a ability of independent studies, to analyze and solve technical issues in the field.
Ⅳ. RESEARCH FIELDS
The Master Degree Program in Information and Communication Engineering System focuses on:
1. Next Generation of Communication Technology and Network
2. Mobile Communication & Wireless Communication
3. Signal Processing Technology
Ⅴ. DEGREE REQUIREMENTS
The graduate students for Information and Communication Engineering System major are required to accomplish at least 24 course credits which should be earned from the courses you will take, and the credits for degree courses should be more than 14, and the non-degree courses should not be less than 10. The completion of 24 credits-courses is usually within one year, while the additional 1.5 to 2 years is used to complete the dissertation research and oral examination in thesis defense.
Ⅵ.CURRICULUM
Course Category / Course name / Credit / Term / School by which Courses opened / RemarkDegree Courses / Compulsory Subjects for Public / Overview of China / 3 / 1 / Overseas Education College / Compulsory
Chinese / 4 / 1 / Overseas Education College
Fundamental Theories / Theory of Matrices / 2 / 1 / Mathematics and Physics College / Any two of them
Applied Random Process / 2 / 1 / Mathematics and Physics College
Modern Signals Analysis / 2 / 1 / Computer and Communication College
Foundation of Specialized Courses / Digital Communication / 3 / 1 / Computer and Communication College / Compulsory
Non
Degree
Courses / Specialized Elective Courses / Mobile Internet Development Technology (Practice) / 2 / 2 / Computer and Communication College / Compulsory
Frontiers of Modern Communication & Networks / 2 / 2 / Computer and Communication College
Next Generation Network Technologies / 2 / 2 / Computer and Communication College / At least one of them
Wireless Communication Technology / 2 / 2 / Computer and Communication College
Optical Communication Technology / 2 / 2 / Computer and Communication College
Short-distance Communication and Network / 2 / 2 / Computer and Communication College
Networks & Group Behavors / 2 / 2 / Computer and Communication College
Wireless Digital Communication Based on Cross-layer Networking / 2 / 2 / Computer and Communication College
Adaptive Signal Processing / 2 / 2 / Computer and Communication College
Ⅶ. COURSE CONTENT
Next Generation Network Technologies
Goal
This is an advanced course in communication networks. The goal of the course is to provide a basic knowledge of the field ofnetwork theory and application, understand the challenges of efficient network management, and the modern techniques (such asmobility management, IPv6 andapplication layer networks). The course will not use a single textbook but rather a set of research papers, and it will be a combination of lecture and discussion.
After taking this course, you should have a good understanding of the problems related to current networks and next generation networks, understand the mathematic theory of network analysis, and have knowledge about research directions in this field.
This course assumes a basic knowledge of networking concepts and background, and of probability theory & random process. Success in introduction to communication network analysis and some knowledge about modern wireless networks should be sufficient background.
Essential Objectives
§ Understand the evolution and development trend of modern communication networks;
§ Understand the mainstream wired / wireless access network technologies;
§ Understand the core network switching / transmission technology;
§ Understand typical technology of next generation network ;
§ Understand technique of the application layer network ;
§ Learn some key research direction of modern network theory;
§ Master network modeling and performance analysis method based on queuing theory;
§ Learn how to use graph theory to carry out network design and analysis.
Content Coverage
Modern communication network is the foundation of modern information society. In-depth understanding of modern communication networks, network theory analysis method and effective design of modern communication network are necessary for postgraduate students of major in communication and information system. This course emphases on theoretical research and specific application deployment of modern communications networks , course contents include the evolution of modern communication networks (wired / wireless), access network technologies (IEEE 802.11/802.15/802.16, 3G/4G), core network technologies (MPLS), the next-generation network technologies (Ipv6, IMS, soft switching), network mobility management, network quality of service, application layer networks (P2P, application layer multicast), communications network performance analysis (queuing theory, graph theory) and so on.
Evaluation
20% paper and presentation，80% final exam
Modern Signals Analysis
Goal
Help students to understand basic principles and typical methods of modern digital signal processing. After the study of this course, students can use digital signal processing technologies to design modern digital communication system or process voice/image/video signal.
Essential Objectives
§ Master the basic knowledge of random signals and statistical analysis;
§ Master typical signal modeling methods of modern signal processing, including auto-regressive moving average model, autoregressive model, moving average model;
§ Master principle and design method of Wiener filter and Kalman filter;
§ Master adaptive filter theory and understand adaptive filtering applications in communications receiver.
Content Coverage
Digital signal processing is a cutting-edge interdisciplinary with fast development of its theory and technology, now digital signal processing technologies have a wide range of applications. Students without the knowledge of this course cannot have an in-depth understanding of various types of signal processing methods in modern communication systems, especially the principle of digital communication receiver. This course requires students to complete the learning of at least two prerequisite courses, ①signals and systems; ② digital signal processing. Otherwise, students are not recommended to learn this course. Course contents include: Random Signal Processing (typical stochastic processes, stochastic processes cross linear system, spectral factorization, etc.), stochastic models (ARMA/AR/MA), the Wiener filter (FIR/causal IIR/non- causal IIR), Kalman filters, adaptive filter (LMS algorithm/RLS algorithm, etc.).
Evaluation
20% paper and presentation, 80% final exam
Mobile Internet Development Technology (Practice)
Goal
This course is a practice course. In the course, students are asked to design an entire information system. This training will effectively enhance their engineering capabilities of students. After taking this course, students can master the Arduino development, Android development and raspberry pie application development.
Essential Objectives
§ Master technology of Arduino microcontroller development technology;
§ Master Android development technology;
§ Master raspberry pie application deployment and development technology;
§ Understand communication technology in information systems;
§ Construct an entire information system;
§ Develop the cooperative ability;
§ Develop the innovative thinking and innovation development capabilities.
Content Coverage
Engineering development capability is a basic and necessary skill for students .This course adopts Arduino robot car and Ardupilot UAV system with open source as training objects, and provides development practices with Arduino microcontroller, Android smart phones, raspberry pie embedded systems, Web applications, geographic information systems, wireless communication technologies. This course will build teams with 3-5 persons to complete an intelligent information system application. As the course includes all current mainstream development technology, it is necessary for students who take this course to possess certain basic knowledge of software and network in advance.
Evaluation
20% team paper and presentation，80% final team work
Digital Communication
Goal
Make each graduate become a person who has profound theory of digital communication, solid special knowledge for digital communication engineering and can do researches on communication with wide field of view
Essential Objectives
§ Learn to design digital communication system model according to the specified requirement
§ Master source coding, channel coding and digital modulation
§ Master channel decoding and digital demodulation
§ Learn to coding for Markov sources
§ Master the method for vector quantization
§ Master principles of inner production space
§ Master orthonormal bases and the projection theorem
Content Coverage
Introduction coding for discrete sources, quantization, vector spaces and signal space, coding and decoding and random processes and noise in digital communication.
Evaluation
Twenty percent of evaluation score from assignment and eighty percent of evaluation from examination.
Optical Communication Technology
Goal
High-speed and wide broadband optical network is the development direction of next-generation networks. After spending some time with this cause, you will be more thoroughly conversant with all the important issues that today affect how optical networks are made, what their limitations and potentialities are, and how they fit in with more classical forms of communication networks based on electronic time division. Whether you are a computer network expert wondering how to use fiber to break the bandwidth bottlenecks that are limiting your system capabilities, a planner or implementer trying to future-proof your telephone network, a student looking for a fun lucrative career, or a midcareer person in need of a retread.
Essential Objectives
§ Learn to propagation of signals in optical fiber and understand loss and bandwidth; chromatic dispersion and nonlinear effects in optical fiber.
§ Learn to WDM system, understand and master the role of Couplers, Isolators and Circulators, Multiplexers and Filters in WDM networks and technology.
§ Learn to Optical Amplifiers, Transmitters, Switches and Wavelength Converters
§ Learn to client layers of the optical layer in optic networks and WDM network elements.
§ Learn to control and management in optical networks.
Content Coverage
Describes a revolution within a revolution, the opening up of the capacity of the now-familiar optical fiber to carry more messages, handle a wider variety of technology of Couplers, Isolators and Circulators, Multiplexers and Filters in WDM networks and provide improved reliabilities and ease of use.
Evaluation
30% team paper and presentation，70% final paper work
Short-distance Communication and Network
Goal
The goal of this course is to cultivate students tounderstandthe subject background,the latestresearch achievements anddevelopment directionof wireless sensor network,grasp architecture,communication protocol,supporting technology,the design of sensor nodes andtypicalapplication system of sensor network.Enable students tomaster theresearch ideas and methodsof new disciplines,laythefoundationfor the research and developmentworkin the future.
Essential Objectives
n Understand object and method of study, the character and the taskofthe course;understand the developmentprocess and thesubject backgroundof wireless sensor network;
n Master the architectureof sensor networks,including network structure,nodestructure and protocol stack;
n Master the communicationprotocol in sensor networks,including theMACrouting andpower control under the ZigBee andIEEE802.15.4protocol system and so on;
n Understand the relevantsupporting technologies,including synchronization, positioning, security,data fusion and so on.
n Master thecomposition and working principle ofthe sensor node, understand the development trendand direction of thenode; grasp the hardwareplatform and software development environment of onesensor node at least,candesign node with existingchip
n Know thecommonsensor networkoperating systemand application examples.
Content Coverage
Wirelesssensor networkis across disciplinary science withthe theory and technologydeveloping quickly, which is widely used in industry, agriculture, meteorology, human health monitoring environmental monitoring and otherfield. Sequencecurriculum of this courseincludes computer network, communication network andwireless communication theory, contents of the course includewirelesssensor network architecture,protocol frameworkand commoncommunication protocol,key technology,hardware and software platform andthe design method ofnode.Teachingof this course consists of theoreticalstudy and practice.
Evaluation
50% term paper and presentation，50% final team work
Wireless Digital Communication Based on Cross-layer Networking
Goal
This course is a major elective course with total 24 credit hours and 2 credits. This course is dedicated to the graduate students majored in communication and information systems. Lecture, seminar and self-study will be used as the teaching methods and mastering the principle of mobile communications, following the latest technical development and cultivating innovation capacity are the goals of teaching.
Essential Objectives
§ To learn the basic concepts of mobile communications and understand the current situation of the development of history and development.
§ To learn some basic concepts and analysis methods of wireless channel in mobile environment.
§ To understand some advanced technologies in mobile communication.
§ To learn 2G, 3G and 4G mobile communication systems.
Content Coverage
The main contents include: the basic concepts of mobile communication, radio wave propagation and channel of mobile communication in mobile communication system, the basic technology of mobile communication, mobile communication network structure, and introduction of the GSM cellular systems, the CDMA mobile communication system, the third generation mobile communication system and the fourth generation mobile communication system.
Evaluation
In the examination, the students are required to hand a research report related to the course and the grades are based on the assessment of the reports.