The Faculty of Electrical Engineering and Computer Science, Ningbo University, will recruit a limited number of international graduate students in 2016 school year in the following Branche: Communication and Information System.
Tuition Fee: 22000yuan/year
Duration: 3 years
Graduate Degree: Master

Field Branch : Communication and Information System
Research Fields: Wireless Communication, Multimedia Communication
Major Curricula: Applied Stochastic Process, Modern Signal Processing, Digital Communication, Theory of Information and coding.
Elective Curricula: Advanced RF Circuit Design, Modern Communication Technology, Wireless Sensor Networks, Video Processing theory and Applications， Optimization Methods for Information Science.

Applied Stochastic Process
This course is one on basic stochastic processes, that is, models for systems that evolve unpredictably in time. Various applications in many fields include economics, finance, physics, climatology, telecommunication, and biology etc. We will emphasize its application in telecommunications. Main topics are introduction to stochastic processes and several common stochastic processes, analysis of a stochastic process through a linear time-invariant (LTI) system, Poisson process and Markov chain.
Text Book: Richard Durrett： Essentials of Stochastic Processes, Second Edition, Spriger, 2012.

Modern Signal Processing
This course will cover the theory and applications of statistical and adaptive signal processing. Topics include linear and matrix algebra for signal description, random signals, signal modeling, power spectral estimation, adaptive filtering, beamforming and adaptive arrays, statistical array processing. This course should be of interest to electrical and computer engineers specializing in Communications, signal processing and the information sciences.
Text book: D. Manolakis, V. Ingle and S. Kogon, Statistical and adaptive signal processing, Artech House, 2005

Digital Communication
This course will give students deep knowledge in modern digital communication systems at the theoretical and practical level. The course will introduce the most advanced standards and outline the future of digital wireless communication systems and networks. The course will focus on modern digital wireless communication systems including the cellular concept, the mobile radio environment, the signals generation, the modulation and processing. The course will supply students with essential skills to work in the communication industry and especially in mobile communication networks.
Text book: John G. Proakis, Masoud Salehi. Digital Communications, McGraw-Hill Higher Education, 2008.

Theory of Information and coding
This course will provide an introductory look into the broad areas of information theory and coding theory. The theoretical concepts are illustrated using practical examples related to the effective storage and transmission of digital and analog data. Recent developments in the field of source coding and channel coding are also discussed. The course is addressed to engineering students, which have some background in computer science, general mathematics and elementary probability theory.
Text book: Thomas M. Cover and Joy A. Thomas, Elements of Information Theory, Second Edition, Wiley & Sons, 2006.

Advanced RF Circuit Design
This course is designed to provide graduate students with the principles of radio frequency (RF) circuit design. It concentrates on such topics as fundamental concepts of transmission line theory, Smith Chart, two-port network and S-parameters, high frequency circuit behavior, designing tuning and matching networks, designing filter networks, mixers, LNA and various RF power amplifiers, and power flow considerations for analog systems as encountered in cell phones, base stations, transceivers (Bluetooth), and wireless LAN (WLAN) equipment.
Software: Students are encouraged to use ADS for all circuit simulations and demo projects.
Textbook: R. Ludwig, G. Bogdanov, RF Circuit Design: Theory and Practice, 2nd edition, Prentice Hall, 2008, ISBN-13: 9780131471375.

Modern Communication Technology
This course is intended as an introductory course for Postgraduate Students in the areas of Communications and Signal Processing. The course will introduce basic theory on matrix computation and nonlinear optimization. The course will then cover important techniques such as Wireless Communications and Diversity, Wireless Channel Modeling, code division for multiple access (CDMA), orthogonal frequency division multiplexing (OFDM), Multiple input multiple output (MIMO).
Text book: Theodore S. Rappaport, Wireless Communications: Principles and Practice Second Edition. Prentice Hall.

Wireless Sensor Networks
This course will cover the theory and applications of the Internet of things. Topics include Medium Access Control in RFID, Anti-Collision Algorithm in RFID, RFID Security, RFID Deployment: Supply Chain Case Study, Geographic Routing in Wireless Sensor Networks, Medium Access Control in Wireless Sensor Networks, Localization in Wireless Sensor Networks, Data Aggregation in Wireless Sensor Networks, Clustering in Wireless Sensor Networks, Energy-Efficient Sensing in Wireless Sensor Networks, Mobility in Wireless Sensor Networks, Security in Wireless Sensor Networks, Integrated RFID and Sensor Networks: Architectures and Applications, Integrated RFID and Sensor Networks for Smart Homes, Integrated RFID and Sensor Networks for Health Care, Integrated RFID and Sensor Networks for Structure Monitoring. This course should be of interest to electrical and computer engineers specializing in Communications, Computer Science and the information sciences.
Text book: Yan Zhang, Laurence T. Yang, and Jiming Chen.Rfid and Sensor networks-Architectures,Protocols, Security,and Integrations,CRC Press,Taylor & Francis Group.2011

Video Processing theory and Applications
Video processing has been one of the hottest research subjects in modern computer vision areas, and its applications cover across a wide spectrum of sectors including video surveillance, robot navigation, missile guidance, medical diagnosis and human-machine interface, etc. The goal of this graduate-level course is to share the video processing techniques to the graduate students through introducing the most commonly used theories such as Kalman filtering, particle filtering, Mean-shift, Camshift, neural networks, etc. Upon completion of this course, the students are expected to understand the working mechanism, applicability as well as limitations in algorithms concerned. The discussions will also be made on the most current academic progresses, and the technology and potential of 3-D video processing will be a focus.
Text book: The lecturing and reading materials will be arranged by the instructor

Optimization Methods for Information Science
This course will cover the fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. Topics include tabu search algorithm and simulated annealing algorithm, genetic algorithm, ant colony optimization algorithm, artificial neural network algorithm and Lagrange relaxation algorithm and other modern optimization theory, model and application technology and application. The course contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical description when coming to actual implementation.
Text book: by Joseph-Frédéric Bonnans, Jean Charles Gilbert , Claude Lemarechal , Numerical Optimization: Theoretical and Practical Aspects, 2006.

Registed Date: 2016.09.08

Registed Address: International College, Ningbo University, 818 Feng Hua Rd, Jiangbei, Ningbo