Master Degree Program in Information and Communication Engineering System

Computer and Communication College Foundation of Compuls ory Mobile Internet Development Technology Practice Computer and Communication College Compuls ory Frontiers of Modern Communicat

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 outoriginal research projects The research programs of the school encompass the major ofcommunication theory and application technology Students who want to pursue theirmaster 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 majorbefore enrolling as a master candidate

Ⅱ GOAL

Goal of the major is to orient and train the students on different aspects of information andcommunication engineering systems They should be able to apply this training atsecondary and tertiary level of chemistry Aiming to be high-level information andcommunication 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 informationand communication engineering systems will be cultivated Degree recipients should have

a solid theoretical foundation of information and communication engineering systems, depth understanding of domestic and international communications systems, equipment,new technologies and development trends in communications networks, relevantprofessional knowledge of modern information and communication engineering aremastered by systems and proficiency, and there is a ability of independent studies, toanalyze and solve technical issues in the field

in-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 arerequired 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

Computer and Communication College Foundation of

Compuls ory

Mobile Internet Development Technology (Practice)

Computer and Communication College

Compuls ory

Frontiers of Modern Communication &

Networks

Communication College

Next Generation Network

Technologies

Computer and Communication College

At least one of them

Wireless Communication Technology

Computer and Communication College Optical

Communication Technology

Computer and Communication College Short-distance

Communication and Network

Computer and Communication College

Networks & Group

Computer and Communication College Wireless Digital

Communication Based on Cross-layer Networking

Computer and Communication College

Adaptive Signal

Computer and Communication College

After taking this course, you should have a good understanding of the problems related tocurrent networks and next generation networks, understand the mathematic theory ofnetwork analysis, and have knowledge about research directions in this field

This course assumes a basic knowledge of networking concepts and background, and ofprobability theory & random process Success in introduction to communication network

analysis and some knowledge about modern wireless networks should be sufficientbackground.

Essential Objectives

 Understand the evolution and development trend of modern communicationnetworks;

 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 queuingtheory;

 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 depth understanding of modern communication networks, network theory analysis methodand effective design of modern communication network are necessary for postgraduatestudents of major in communication and information system This course emphases ontheoretical research and specific application deployment of modern communicationsnetworks , 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, applicationlayer networks (P2P, application layer multicast), communications network performanceanalysis (queuing theory, graph theory) and so on

In-Evaluation

20% paper and presentation，80% final exam

Modern Signals Analysis

Goal

Help students to understand basic principles and typical methods of modern digital signalprocessing After the study of this course, students can use digital signal processingtechnologies to design modern digital communication system or processvoice/image/video signal

Essential Objectives

 Master the basic knowledge of random signals and statistical analysis;

 Master typical signal modeling methods of modern signal processing, includingauto-regressive moving average model, autoregressive model, moving averagemodel;

 Master principle and design method of Wiener filter and Kalman filter;

 Master adaptive filter theory and understand adaptive filtering applications incommunications receiver.

Content Coverage

Digital signal processing is a cutting-edge interdisciplinary with fast development of itstheory and technology, now digital signal processing technologies have a wide range ofapplications Students without the knowledge of this course cannot have an in-depthunderstanding of various types of signal processing methods in modern communicationsystems, especially the principle of digital communication receiver This course requiresstudents to complete the learning of at least two prerequisite courses, ①signals andsystems; ② digital signal processing Otherwise, students are not recommended to learnthis course Course contents include: Random Signal Processing (typical stochasticprocesses, stochastic processes cross linear system, spectral factorization, etc.), stochasticmodels (ARMA/AR/MA), the Wiener filter (FIR/causal IIR/non- causal IIR), Kalmanfilters, 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 entireinformation system This training will effectively enhance their engineering capabilities ofstudents After taking this course, students can master the Arduino development, Androiddevelopment 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 courseadopts 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 tocomplete an intelligent information system application As the course includes all current

mainstream development technology, it is necessary for students who take this course topossess 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

next-classical forms of communication networks based on electronic time division Whetheryou are a computer network expert wondering how to use fiber to break the bandwidthbottlenecks that are limiting your system capabilities, a planner or implementer trying tofuture-proof your telephone network, a student looking for a fun lucrative career, or amidcareer person in need of a retread.

 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 thenow-familiar optical fiber to carry more messages, handle a wider variety oftechnology of Couplers, Isolators and Circulators, Multiplexers and Filters in WDMnetworks 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 to understand the subject background, the latest research achievements and development direction of wireless sensor network, grasp architecture, communication protocol, supporting technology, the design of sensor nodes and typical application system of sensor network Enable students to master the research ideas and methods of new disciplines, lay the foundation for the research and development work in the future.Essential Objectives

 Understand object and method of study, the character and the task of the course; understand the development process and the subject background of wireless sensor network;

 Master the architecture of sensor networks, including network structure, node structure and protocol stack;

 Master the communication protocol in sensor networks, including the MAC routing and power control under the ZigBee and IEEE802.15.4 protocol system and so on;

 Understand the relevant supporting technologies, including synchronization, positioning, security, data fusion and so on.

 Master the composition and working principle of the sensor node, understand the development trend and direction of the node; grasp the hardware platform and software development environment of one sensor node at least, can design node with existing chip

 Know the common sensor network operating system and application examples.

Content Coverage

Wireless sensor network is a cross disciplinary science with the theory and technology developing quickly, which is widely used in industry, agriculture, meteorology, human health monitoring environmental monitoring and other field Sequence curriculum of this course includes computer network, communication network and wireless communication theory, contents of the course include wireless sensor network architecture, protocol framework and common communication protocol, key technology, hardware and software platform and the design method of node Teaching of this course consists of theoretical study 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 theprinciple of mobile communications, following the latest technical development andcultivating innovation capacity are the goals of teaching

 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 wavepropagation and channel of mobile communication in mobile communication system, thebasic technology of mobile communication, mobile communication network structure, and

introduction of the GSM cellular systems, the CDMA mobile communication system, thethird generation mobile communication system and the fourth generation mobilecommunication system

 MIMO channel modeling

 MIMO capacity and architectures

 Diversity–multiplexing tradeoff and space-time code design

Content Coverage

This course will firstly discuss the point-to-point communication: detection, diversity andchannel uncertainty, which includes coherent and non-coherent detection, investigatingvarious diversity techniques that improve the performance, studying the impact of channeluncertainty on the performance of diversity combining schemes; capacity of wirelesschannels, which includes investigating the problem of communication over AWGN andwireless fading channels; MIMO spatial multiplexing and channel modeling, whichincludes modeling deterministic and fading MIMO channels, further studying themultiplexing capability of MIMO channels; MIMO capacity and multiplexingarchitectures, which includes learning the V-BLAST architecture, fast fading MIMO

channel, receiver architectures, slow fading MIMO channel and an outage-optimalarchitecture D-BLAST; MIMO diversity-multiplexing tradeoff and universal space-timecodes, which includes diversity-multiplexing tradeoff, universal code design for optimaldiversity-multiplexing tradeoff.

Evaluation

Write an essay to introduce the recent developments of MIMO communication and thepractical implementation Besides, every student should give a public presentation which

is the source of final scores

Networks And Collective Behavior

Goal

Reasoning about the behavior principle and reaction mechanism of online social networks based on the Internet, to provide theory, method and model for the application research on the network survey, network voting, electronic auction, etc so as to improve the efficiencyand justification

Essential Objectives

 To learn and understand the graph theory for network structure analysis

 To learn and understand the game theory for network behavior analysis

 To learn and understand the network information transfer model and cascade behavior

 To understanding the affections of institutions to aggregate behavior

Content Coverage

Online social networks based on the Internet connect people more closely, and produce subtle interactions – everyone’ behavior in the networks may have an effect on the others, thus affecting the group behavior results This course attempts to use synthetically the theories and methods of sociology, computing and information science, and applied mathematics to reveal the group behavior and its effect mechanism in online social

networks Graph theory and game theory are the basic theories of course analysis, the main teaching contents of the course are network information dissemination model, cascade behavior, and affections of institutions to aggregate behavior The goal of the course is to provide theory, method and model for the application research on the network survey, network voting, electronic auction, etc so as to improve the efficiency and

justification

Evaluation

Comprehensively considering the classroom discussion, practice after class,and the end evaluation, the respective ratio is 3:3:4