Embed Size (px)
Citation preview
Bachelor of Engineering Program in Electronic and
Computer Engineering
Wuhan University
Wuhan University (WHU) is a comprehensive and key national university administrated by the Ministry of Education. It is also one of the top ten universities with full support in the construction and development from the central and local government of China.
Wuhan University dated back 1893 in the late Qing Dynasty. It is one of the earliest comprehensive national universities in modern China. By the end of 1946, the university had established 6 colleges, the colleges of liberal art, law, sciences, engineering, agriculture and medicine. In 2000, an amalgamation of the former Wuhan University, Wuhan University of Hydraulic and Electric Engineering, Wuhan Technical University of Surveying and Mapping, and Hubei Medical University was announced, which ushered in a new era in its 100-odd years of development.
For the past century, Wuhan University has built an elegant palatial architectural complex of primitive simplicity which blends perfectly the eastern architectural style with that of the west. It is honored as the "Most Beautiful University in China." Furthermore, Wuhan University's centennial humanistic accumulation boils down to its succinct motto, that is, "Self-improvement, Perseverance, and Truth-seeking & Innovation."
Since its establishment, Wuhan University has cultivated more than 300 thousand professional talents in various occupations, among whom there are over 100 members of the Chinese Academy of Science and the Chinese Academy of Engineering. They have made great contribution to the national construction and social advancement. The remarkable achievements of Wuhan University have won itself an extensive international reputation. In 1999, the world renowned journal Science listed Wuhan University as one of the most prominent institutions of higher education in China.
Burgeoning are the international exchanges and cooperation of Wuhan University in recent years. It has established cooperative relationship with more than 400 universities and research institutes in over 70 countries and regions.
Now Wuhan University is endeavoring to shape itself into a world-class comprehensive research university domestically and internationally.
Bachelor of Engineering Program in Electronic and Computer Engineering
The Bachelor of Engineering Program in Electronic and Computer Engineering is an independent program for international students. It provides qualified applicants with bachelor's education in Electronic and Computer Engineering and awards graduates with internationally recognized degree. We look forward to hearing from you.
Program code, title
Program Code: 080701Program Title: Electronic and Computer Engineering
Program ObjectivesObjectives and Qualification ProfileElectronics Computer Engineering is one of the important basis and backbone of
the information industry. With Circuit and System, Signal and Information Processing, Computer Science as basic theory, the fields of research cover processing and exchange of various sources of signals such as voice, words, images, also the transmission, exchange and computing of these signals, and so various kinds of electronic and information systems are being studied and developed.
Electronics Computer Engineering is a technological field requiring the application of scientific and engineering knowledge and methods, combined with technical skills, in support of engineering activities.
Overall the program strives to prepare students for entry into the technical workforce with well developed skills. In particular, the department strives to ensure that its graduates have ability to:
1. Apply knowledge of science and engineering.2. Design, and conduct experiments as well as analyze and interpret data.3. Design a system, component, or process to meet specified needs.4. Function effectively in teams.5. Identify, formulate, and solve engineering problems.6. Have an understanding of professional and ethical responsibilities.7. Communicate effectively.
The Objectives for our Bachelors Degree in Electronics Computer Engineering program are:1. Become successful practitioners in electronic engineering technology and
other diverse careers.2. Pursue continuing and life-long learning opportunities.3. Provide necessary skills to advance technically.4. Provide foundational education that allows for personal growth and flexibility
through their career.
Engineering Technology is a field where applications of science and engineering knowledge and methods are combined with technical skills in an engineering environment. The Electronics Computer Engineering Technology student/graduate:
1. Has an orientation toward laboratory technology skills, applications and hardware.
2. Understands present electronic technology such as computer and micro processor based systems, integrated circuit devices and other electronic components, telecommunications systems, and computer software as a part of electronic/computer systems.
3. Is an important member of the team consisting of scientists, engineers, technologists and technicians who translate basic scientific principles into electronic systems/devices. The technologists also work with other members of the team in the tasks required to take a new product from concept, through design, development, testing, production, sales, operations, and service.
The curriculum offers students the opportunity to emphasize a number of specialized areas including digital systems, communications, and computer technology.
Program training content and requirements1. Specialized knowledge: provide basic knowledge of electronic information
and computer engineering, as well as mathematics, science, computer and engineering that needed. Training programs include: circuits and systems, field and wave, signal processing communication and so on.
2. Experimental operating skills: equip students with basic skills to design and implement the pilot project as well as the ability to ask questions and use different technical knowledge and skills to solve problems.
3. Communication skills: the ability to collect, organize and present information, and effectively write and verbal communicate.
4. Preparing for further study: offer a sufficiently bread and deep basis for follow-up post-graduate studies or lifelong learning program.
5. Preparing for employment: provide a wide range of professional practice, including teamwork, leadership, security, ethics, service, economy and organization.
Length of Schooling and credit requirementsLength of Schooling: four yearsCredits requirement: at least 120 credits
Degree Granting Those who meet the criteria will be granted a Bachelor’s degree of Engineering.
Professional backbone (core) coursesMain subject courses: circuit analysis, Analog Circuit, digital logic circuits,
signals and systems, Microcomputer Architecture; Core major courses: digital signal processing, Principles of Communication, Computer Communication Network, MCU Applications in Engineering, Electronic Systems Design.
Requirements for main experiment and practical teaching Experiment courses, training and thesis (design) are the main practical teaching process. Professional experimental courses include: electronic technology experiment, integrated electronic system design, communication principle experiment, and signal processing experiments.
While taking experimental courses, students must beforehand or simultaneously attend corresponding professional theory courses. Requirements for graduation and other necessary instructions
Undergraduate students who take 120 credits required by the major will be allowed to graduate, in which, 37 credits for Mandatory Required courses, 67credits for required specialty courses.
CoursesCourses
通识课程 Mandatory courses code Course Nature
Credits
综 合 汉 语（一）
Comprehensive Chinese Ⅰ
Required
3
综 合 汉 语（二）
Comprehensive Chinese Ⅱ 3
综 合 汉 语（三）
Comprehensive Chinese Ⅲ 3
综 合 汉 语（四）
Comprehensive Chinese Ⅳ 3
中国概况 Outline of China 4
中国文化 Culture of China 2
高 等 数 学（一）
Advanced MathematicsⅠ17003303
5
高 等 数 学（二）
Advanced MathematicsⅡ 17003304 5
大 学 物 理（一）
Physics Ⅰ 17007630 3
大 学 物 理（二）
Physics Ⅱ 17007630 3
线性代数 Linear Algebra17003328
3
专业课程 Main courses in specialty Code CourseNature
Credits
程序设计基础 Introduction to Programming in C/C++
0802433
Required
4
电路分析 Electric Circuits Analysis 0800056 4
低频电子线路 Analog Circuit 0801362 5
数字逻辑电路 Digital Logic Circuit0800058
4
信号与系统 Signal and System 0800061 5
微机体系结构 Microcomputer Architecture 4
计算机通信网 Computer Communication Network
0801989 4
通信原理 Principles of Communication 0800151 4
数字信号处理 Digital Signal Processing 0800067 4
电子信息科学技术导论
Introduction to Electrical and Computer Engineering
0801646 2
数字图像处理 Digital Image Processing 0800073
Optional
4
无线通信 Wireless Communications 0801990 4
多媒体技术 Multimedia Technology0801992
4
MCU 与接口技术
MCU Application in Engineering
4
Elective Module 1 Students may take the courses for the full-time, degree students in Electronic Information School, Wuhan University, the credits of which can be accepted as the credits for the optional courses in this program.
Elective Module 2Elective Module 3Elective Module 4
实验课程 Practical Courses Code Course Nature
Credits
电子技术实验（1）
Electronics Lab I
1300604
Required
2
电子技术实验（2）
Electronics Lab Ⅱ 1300605 3
信号与系统实验 Signal Processing Lab 1300667 2
通信原理实验 Communication Principle lab 1300057 3
电子系统综合设计
Electronic Systems Design 1300755 3
电信网工程训练 Telecommunication & Network system
0802626 4
毕业设计 Undergraduate Thesis 10
Total 120
Notes:One credit for the theoretical courses is equal to 18 class hours;One credit for the practical courses is equal to 36 class hours.
Course ScheduleSemester 课程 course
1st Semester(Sep-Jan) 综合汉语（一） Comprehensive Chinese Ⅰ
高等数学（一） Advanced MathematicsⅠ
线性代数 Linear Algebra
程序设计基础 Introduction to Programming in C/C++
电子信息科学技术导论 Introduction to Electrical and Computer Engineering
2st Semester(Feb-Jul) 综合汉语（二） Comprehensive Chinese Ⅱ
高等数学（二） Advanced MathematicsⅡ
大学物理（一） Physics Ⅰ
电路分析 Electric Circuits Analysis
电子技术实验（1） Electronics Lab I
3st Semester (Sep-Jan) 综合汉语（三） Comprehensive Chinese Ⅲ
大学物理（二） Physics Ⅱ
低频电子线路 Analog Circuit
数字逻辑电路 Digital Logic Circuit
电子技术实验（2） Electronics Lab Ⅱ
4st Semester (Feb-Jul) 综合汉语（四） Comprehensive Chinese Ⅳ
微机体系结构 Microcomputer Architecture
信号与系统 Signal and System
信号与系统实验 Signal Processing Experiment
5st Semester(Sep-Jan) 中国概况 Outline of China
数字信号处理 Digital Signal Processing
通信原理 Principles of Communication
通信原理实验 Experiment of Communication Principle
6st Semester(Feb-Jul) 中国文化 Culture of China
计算机通信网 Computer Communication Network
无线通信 Wireless Communications
数字图像处理 Digital Image Processing
电子系统综合设计 Electronic Systems Design
7st Semester(Sep-Jan) MCU与接口技术 MCU Application in
Engineering
多媒体技术 Multimedia Technology
电信网工程训练 Telecommunication & Network system
8st Semester(Feb-Jul) 毕业设计 Undergraduate Thesis
Course DescriptionCourse title Introduction to Programming in C/C++Credits 4Course description Introduction to Programming in C/C++ is an entry level course
covering the basics of programming. This course is designed for students with little or no background in computer programming. It provides introduction to the basic concepts and methods of developing software. It will introduce students to object-oriented problem solving methods and provide the students with objected-oriented techniques for analysis, design and implementation of solution. Students will understand these concepts and develop skills with c++ programming language. At the end of this course, students will be able to apply these skills to design and implement small applications.
Course objectives Equipping students with a through grounding in the fundamentals of object-oriented design concepts.
Providing students with fundamentals of c++ programming language.
Introducing students to the widely used components of unified modeling language (UML) to interpret and implement c++ program from these higher-level designs.
Empowering students with the ability of designing, coding and documenting programs to provide solution to small application.
Course methods The teaching methods of this course consist of two parts, the first is scheduled learning and teaching through lectures, which will take 32 hours, and the second is scheduled learning and teaching through workshops, which will take 6 hours. The learning activities of require students to do coursework and guided independent study.
Course assessment Course work is 30% of final credit, it is commented based on individual code, individual feedback sheet and in model answer discussion. Written exam is 70% of final credit. Written exam is at the end of the course and closed book.
Reading Textbook and copies of PowerPoint slides Prerequisites NoneLecturer Mei Tiancan
Course title: Circuits AnalysisCredits 4Course description: The course aims at introducing the principles of the linear
and non-linear electric circuits, as well as the analysis of their static and dynamic features. The topics include direct electric circuits, sine-cosine and non-sine-cosine alternative electric circuits, temporal domain analysis of dynamic characteristics for electric circuits, frequency domain analysis of dynamic characteristics for electric circuits and non-linear electric circuits.
Course objective: This course emphasizes that enable students to improve the association and cross analysis ability. Upon successful completion of the course students should: Understand the important concept and methods of
electric circuit analysis. Improve ability of analysis and calculation, the ablity of
summarizing and experimental research Course methods: The course is taught through lectures. Students will be
required to collect and learn the references for their homework.
Course assessment: The course grade depends on students’ homework and final exam.
Readings: Handout and copies of Power Point slides.Prerequisites: To be admitted to this course the students must have
successfully completed the following courses: Advanced Mathmatics Advanced Physics
Lecture Li Li ; Zhou Hao
Course title Analog CircuitCredits 5Course description Physics and operation of diodes, bipolar and MOS
transistors. Equivalent circuits and models of semiconductor
devices.
Analysis and design of single-stage amplifiers. DC biasing circuits. Small-signal analysis. Operational amplifier systems. Analysis and design of differential amplifiers in bipolar
and CMOS technologies. Current mirrors and active loads. Frequency response of amplifiers. Feedback and its properties. Stability issues and frequency compensation.
Course objectives Design inverting or non-inverting amplifier structures with operational amplifiers.
Include the input impedance, output impedance and finite gain in the analysis of an operational amplifier circuit.
Draw the I-V characteristics of a PN junction diode. Indicate the breakdown, reverse biased and forward
biased regions of operation of a diode. Determine the different regions of operation for a
bipolar junction transistor. Draw the small-signal model for an npn and pnp
transistor. Determine the small-signal parameters (i.e., rp, gm and
ro) of a small-signal model. Design the DC biasing for a common-emitter amplifier. Analyze the small-signal properties (input and output
impedance, and gain) of a common-base amplifier. Determine the different regions of operation for a field-
effect transistor (MOSFET). Design a current mirror using MOS transistors. Analyze the DC voltages of a basic common-source
amplifier. Draw and analyze the small-signal model of a common-
drain amplifier. Explain the purpose of a simulator such as SPICE. Explain an example of how amplifiers and transistors are
used in an application. Several homework assignments delving on core
concepts and reinforcing analytical skills learned in class.
Opportunities to interact weekly with the instructor and the teaching assistant(s) during regular office hours and during discussion sections in order to further the students' learning experience and the students' interest in
the material.Course methods Lecture, lab, and optional oral presentations. Students are
encouraged to participate in classroom discussion and share their own ideas via oral presentations. Writing assignments and problem solving labs related to reading and writing tasks will be arranged as well.
Course assessment Homework & lab reports 20%Quizzes & mid-term test 20%Class attendance 10%Final exam (option 1) 50%Final public oral defense (option 2) 50%
Readings Behzad Razavi. Fundamentals of Microelectronics, 2nd
edition [M]. Hoboken: John Wiley & Sons, Inc., 2014.Prerequisites Circuit analysisLecturers Gao Xun
Course title Digital Logic Circuit
Credits 4
Course description
The course ‘Digital Logic Circuit’ is a technical basic course, based on digital electronic technology. It refers to the basic principle, fundamental analysis and design technique of digital technique and has a strong engineering practicality.
Course objectives
Upon successful completion of the course students should be able to: Understand the operational principle, analysis and design
methods of digital circuit and system. Understand standard integrated circuit and high-density
programmable logic device (HDPLD). Understand the basic design method of digital system,
have the primary ability of solving digital logic problems.
Course methodsThe course is taught through lectures and practical examples. Students will be required to work out assignments. Students will have the opportunity to discuss and work in teams.
Course assessmentThe course grade depends on students’ performance in class activities, homework, quiz and final exam.
Prerequisites None
Lecturers Yang Jing ; Zhou Jun
Course title Signal and SystemCredits 5Course description Signals and Systems is an introduction to analog and digital
signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.
Course objectives The course covers the fundamentals of signal and system analysis, focusing on Representations of discrete-time and continuous-time
signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling)
Representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses).
Course methods The course contents are taught through lectures and practical examples. Students will be required to work out computer projects.
Course assessment The course grade depends on students’ performance in projects, in-class quizzes and final exam.
Reading Handout and copies of PowerPoint slides
Prerequisites To be admitted to this course the students must have successfully completed the following courses:
Analysis of Curcuits Calculus Applied Mathematics
Lecturer Gong Yun; Zhang Haijian;Zhou Yunniang
Course title Microcomputer ArchitectureCredits 4Course description This course is a study of the evolution of computer
architecture and the factors influencing the design of hardware and software elements of computer systems. This course is about PC microcomputer system organization outline, 80x86 CPU programming structures, addressing methods and instruction set of 80x86 microprocessor, basic assembling language programming, the concept and general method of microcomputer interfacing, the circuits design and programming of parallel interface 8255, the circuits design and programming of timer/counter 8253/54, microcomputer’s interrupt system and interrupt controller 8259, A/D and D/A interfacing circuits design and programming.
Course objectives Know the basic concepts of computer organization and instruction and data representation, and the organization of a real microprocessor(80x86), and the general principles of Intel 80x86 (8086/8088) CPU;
Familiar with the Intel 80x86 instruction system, understand the principles and techniques of assembly-level programming, and master the basic programming techniques of 80X86 assembly language;
To know the interruption principle of 80X86 system, understand the general interface technologies, and the principles of some interface chips, such as 8253/8254, 8255, 8251,and AD/DA chips;
To learn to use computers for real time data acquisition and control of input-output devices.
Course methods The course is taught through lectures and practical examples. Students will be required to work on assignments and lab tasks.
Course assessment Grades will be based upon the in-class occasional quizzes, a
comprehensive final exam, lab tasks and attendance.Reading Handout and copies of PowerPoint slides Prerequisites Assembly Language, Introduction to Computer SystemLecturer Yang Jianfeng
Course title Computer Communication NetworkCredits 4Course description The course is a specialized core course of Electronic and
Computer Engineering, combined with the content of computer network and telecommunication network. The course introduces the basic knowledge and architecture of communication networks, addresses the main technical characteristics of the Telecommunication Network, Internet, and Next Generation Network.
Course objective This course emphasizes on improve the association and cross analysis ability. Upon successful completion of the course students should: Understand the important concept and key technology
on network communication protocol. Understand the design and implementation of goals of
main network systems, its advantages and disadvantages.
Know the evolution direction and the challenge of computer communication network technology.
Course methods The course is taught through lectures. Students will be required to collect and learn the references for their homework.
Course assessment The course grade depends on students’ homework and final exam.Readings Handout and copies of Power Point slidesPrerequisites To be admitted to this course the students must have
successfully completed the following courses: Basic Computer Course Data Communication Principles
Lecturer Guo Chencheng
Course title Principles of Communication
Credits 4Course description In this course, communication system is the learning object,
and different communication systems and techniques are introduced. The course includes an introduction to basic concept of communication system, random process, channel, analog modulation system, digital baseband system, digital modulation system, source encoding, error control encoding, orthogonal encoding, random sequence and principle of synchronization. The course is a prerequisite for all of the advanced communication courses.
Course objectives After completion of the course, students should: Understand the basic concept, principle and methods of
analog and digital communication theory. Be able to establish model of simple communication
system and take qualitative analysis. Be able to debug a given communication circuit. Be able to analyze and troubleshoot the problems in the
process of experiment.Course methods The course is taught through lectures and practical examples.
Students will be required to work out assignments. Students will have the opportunity to discuss and work in teams.
Course assessment The course grade depends on students’ assignments and final exam.
Reading Handout and copies of PowerPoint slidesPrerequisites To be admitted to this course the students should have
successfully completed the following courses: Advanced mathematic General physics Circuit theory Signal and system Electronic circuit Information theory
Lecturer Wu Jing; Zhao Chen
Course title Digital Signal ProcessingCredits 4Course description Signal processing using digital computers and special
purpose digital hardware has taken on major significance in the past decade. The inherent flexibility of digital elements permits the utilization of a variety of sophisticated signal processing techniques which had previously been impractical to implement.
Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. Applications of these techniques are now prevalent in such diverse areas as biomedical engineering, acoustics, sonar, radar, seismology, speech communication, telephony, nuclear science, image processing and many others. Thus, a thorough understanding of digital signal processing fundamentals and techniques is essential for anyone concerned with signal processing applications.
Course objectives The objectives of this course is to provide an understanding and working familiarity with the fundamentals of digital signal processing and is suitable for a wide range of people involved with and/or interested in signal processing applications.And the following contents will be included:
the analysis and representation of discrete-time signals and systems including a discussion of discrete-time convolution, difference equations, the z-transform and the discrete Fourier transform.
Digital network structures for implementation of both recursive (infinite impulse response) and nonrecursive (finite impulse response) digital filters.
The fast Fourier transform algorithm for computation of the discrete Fourier transform.
Course methods The course contents are taught through lectures and practical examples. Students will be required to work out computer projects.
Course assessment The course grade depends on students’ performance in projects, in-class quizzes and final exam.
Reading Handout and copies of PowerPoint slides Prerequisites Advanced calculus and familiarity with introductory
complex variable theory. Previous exposure to linear system theory for continuous-time signals, including Laplace and Fourier transforms is required. No experience with discrete-time signals, z-transforms, or discrete Fourier transforms is assumed.To be admitted to this course the students must have successfully completed the following courses:
Signals and SystemsLecturer Lei Yu; Zhang Haijian
Course title Introduction to Electrical and Computer Engineering
Credits 2Course description This course concentrates on the topics of the representation,
manipulation, transmission, and reception of information by electrical means, provides an integrated introduction to electrical and computer engineering. The main objective of this course are to pique student' interest in engineering by providing with exposure to the types of problems that electrical and computer engineers are asked to solve. This course gives a brief introduction to several fundamental ideas, such as signal representation in time and frequency domain, concept of filtering, information communication and contracture of a communication system and etc., using Mat lab as a programming tool.
Course objectives We wanted students to be prepared in signal, system, filtering,communication systems, programming and some orther topics that are of fundamental importance in our discipline;
We wanted students to have an introduction to a software application tool, such as MATLAB, to complete their preparation for practical and efficient computing in their subsequent courses and in their professional careers;
Understanding the front edge of electrical and computer technology.
Course methods The course contents are taught through lectures and practical examples. Students will be required to work out assignments. Students will have the opportunity to report and discuss their work.
Course assessment The course grade depends on students’ performance in class activities, assignments, quiz, and final exam.
Reading Handout and copies of PowerPoint slides Prerequisites NoneLecturers Xu Xin, Jiang Hao
Course title Digital Image ProcessingCredits 4Course description This course offers an insight into the scientific theory and
method of Digital Image Processing, its historical development, mathematical principles, application technology as well as new development direction with the arrival of large data.
Course objectives Upon successful completion of the course students should be able to
Review major aspects and mutual relations of digital image processing
Have good grasp of the historical development of high dimensional signal processing
Understand the underlying mathematical principles of various image processing method and technology
Plan and manage spatial digital image processing projects
Course methods The course contents are taught through lectures and practical examples. Students will be required to work out assignments. Students will have the opportunity to discuss and work in teams.
Course assessment The course grade depends on students’ performance in class activities, assignments, homework, and final exam.
Reading Handout and copies of PowerPoint slidesPrerequisites To be admitted to this course the students must have
successfully completed the following courses: Digital signal processing Data Structure
Lecturer Chu HE
Course title Wireless CommunicationsCredits 4Course description “Wireless Communications” course is an elective course
oriented toward the senior undergraduate students majoring in communication engineering. The course can be divided into the three main parts. The first one is the technical background, which includes overview of wireless communication systems, transmission fundamentals, communication network overview and protocols. The second part is wireless communication technology, which includes antennas, propagation models, channel model and capacity. The third part is wireless communication networks, which includes the content of satellite communications, cellular wireless networks and wireless sensor networks.
Course objectives The course addresses the fundamental knowledge in current wireless communications including basic theory, problems occurs, system design and analysis. Through the course learning, we aim to help students understand and grasp the pervasive and typical theory, problems, design ideas and analysis methods of wireless communications in a global and systematical way. We hope not only to build the good theoretical analysis and design ability for students, but also
lay a good foundation for their further work related with wireless communications. The contents of our class include: Wireless communication concepts Transmission fundamentals Communication networks TCP/IP protocols Antenna and propagation Path loss, shadowing and multipath model Channel capacity Satellite communications Cellular Wireless Networks Wireless sensor networks
Course methods The course is taught in full English. Textbook, references and ppt are given. Project analysis, discussion, homework and exams are involved in class teaching.
Course assessment Grading depends on attendance (10%), HW (30%) and final exam (60%).
Reading Reading material is provided through public mailbox.Prerequisites The prerequisites include:
Principals of Communications Theory of probability Computer networks
Lecturer Zeng Yuanyuan
Course title Multimedia TechnologyCredits 4Course description This course introduces fundamental theory and method of
multimedia technology. We will address how to efficiently represent and process audio and video signals. Topics to be covered include: the concepts of computer multimedia system. The acquisition and processing of information, including video and audio. The basic data compression techniques. The production technology of hypertext and hypermedia.
Course objectives Understand the basics of analog and digital video: video representation and transmission systems.
Know the fundamental audio/video processing techniques.
Acquire the basic skill of designing video/audio compression.
Familiarize himself/herself with audio/video compression standards.
Know the basic techniques in the production technology of hypertext and hypermedia.
Course methods The course contents are taught through lectures and practical examples. Students will be required to work out assignments. Students will have the opportunity to discuss and work in teams.
Course assessment The course grade depends on students’ performance in class activities, assignments, homework, quiz, and final exam.
Reading Handout and copies of PowerPoint slides Prerequisites NoneLecturer Jinsheng Xiao
Course title MCU Applications in EngineeringCredits 4Course description This course consists of two parts. The first part studies of
8- , 16-bit and 32- bits microprocessor and microcomputer architectures, instruction sets and resources, and how to apply these to real-world design problems. Focusing on a wide range of microcontroller or microprocessor design scenarios, topics range from memory organizations, buses and protocols to interfacing techniques. Includes overviews of control applications using different interfaces and interfacing technologies. The second part consists of a student project requiring both hardware and software design, solving a practical problem, and incorporating elements from the lecture.
Course objectives – After completing this course the students should be able to: Architect a microprocessor or microcontroller system
and estimate the required hardware and software resources.
Select a microprocessor or microcontroller suitable to the application.
Select appropriate interface according to varies demands of data collection.
Find effective solutions to a wide range of real-world microprocessor and microcontroller applications.
Course methods Lectures and Lab projects.
Course assessment Exam (50%) + MCU Design Mini-Project (40%) + Attendance (10%)
Reading ARM® Cortex®-A57 MPCore Processor Technical Reference Manual
ARM® Cortex-M0+ Devices Generic User GuideARM® Cortex-M0+ Technical Reference Manual
Prerequisites Students should be familiar with digital logic, binary number systems and arithmetic, computer operation, assembly language programming.
Lecturer Zheng Hong; Yang Jianfeng; Xie Yinbo; Xu Jun
Course title Electronics Lab ICredits 2Course description Experimental determination of electronic device’s input and
output characteristics, diodes and applications, bipolar junction transistor (BJT) and MOSFET amplifiers (single, compound, and multiple stages) in various topologies (CE/CB/CC for BJT and CS/CG/CD for MOS amplifiers), effect of feedback on single-stage amplifiers, operational amplifiers and applications. Introduction to hands-on design experience based on individual student electronic circuit design, simulation and implementation.Frequency response and high-frequency effects in discrete circuit design. Low pass, high pass and band pass filters.Hands-on experience in requirement analysis, design and construction of analog circuits and systems.
Course objectives By the end of this course, students should be able to: Connect components according to circuit schematic
diagrams. Understand and apply circuit components (resistors,
inductors, capacitors, diodes, bipolar junction transistors and MOSFET’s) characteristics to analyze, design and optimize circuits.
Simulate a circuit with iCircuit or SPICE and interpret its results.
Design circuits with diodes. Design circuits with bipolar junction transistors and
MOSFET’s. Design a single stage amplifier with bipolar junction
transistors. Design circuits using operational amplifiers. Employ feedback in a circuit to optimize gain or
impedances. Write lab reports with principles, detailed design
procedures, experimental results, analysis, conclusion and discussions.
Work in groups of three (3) using available resources to design circuits to meet required feature list and/or specifications.
Present project/ research proposal/ final report demonstrating understanding and mastery of skills and concepts.
Course methods Lecture orientation, simulation, experiment, group work on project.
Course assessment Labs and projects 40%Lab reports 20%Project proposals and manuals 10%Final project 20%Final public oral presentation, report and user’s manual
10%
Reading Pre-lab tutorialsLab tutorialsLab report samples
Prerequisites Circuit analysis, Advanced PhysicsLecturer Li Li; Zhou Hao
Course title Electronics Lab IICredits 2Course description Hands-on design, implementation, and debugging of digital
logic circuits, use of computer-aided design tools for schematic capture and simulation, implementation of complex circuits using programmed array logic, design projects.
Course objectives By the end of this course, students should be able to: Implement the concepts learned in the Digital Logic
Design course with CAD tools such as ModelSim. Synthesize, implement, test and debug digital logic
circuits using an FPGA design tool such as Quartus II. Implement with breadboards, wiring, and 7400 Logic
Chips. Design a combinational system. Design a sequential system. Design an arithmetic unit. Design a control unit and an arbiter with proper data
paths. Design a finite state machine (FSM). Research on projects delving on core concepts and
reinforcing analytical skills learned in the digital logic course.
Fulfill lab assignments exposing to computer aided digital circuits design and asking them to carry out simple and complex illustrative design projects.
Enjoy opportunities to interact weekly with the instructor and the teaching assistant(s) during regular office hours and during the lab in order to enrich learning experience and enhance research interest.
Course methods Lecture orientation, simulation, experiment, group work on project.
Course assessment Labs and projects 40%Lab reports 20%Project proposals and manuals 10%Final project 20%Final public oral presentation, report and user’s manual
10%
Reading Pre-lab tutorialsLab tutorialsLab report samples
Prerequisites Circuit analysis, Advanced PhysicsLecturer Gao Xun
Course title Signal Processing ExperimentCredits 2Course description The main contents of the experiment include:MATLAB
introduction, the representation and realization of signal, the synthesis and decomposition of the periodic signal, the display of the two-stage state trajectory, the sampling and interpolation of signal, the waveform analysis and synthesis of WAV signal, the synthesis and identification of the telephone dial tone. Using MATLAB as the programming environment, the course is divided into 5 units, based on the principle from the shallower to the deeper. The basic authentication and the application of technology, design and implementation enable the students to deepen the understanding of relevant theories and methods. Part of the experiment on the WAV signal, DTMF signal aims to help students grasp the knowledge and solve practical problems.
Course objectives This experiment is a practical part of the course named ‘Signals and Systems’, which emphasizes the combination of theory and practice, principle and application. It will display the basic concepts, principles, signal processing operation and filter design method of the digital signal processing in class by using MATLAB software tools to help students get
further understanding.Course methods The course is taught with lectures and practical examples.
Students will be required to work out assignments and will also have the opportunity to discuss with each other and work in teams.
Course assessment The course grade depends on students’ performance in class, activities, assignments, homework, quizzes and the final exam.
Reading Handout and copy of PowerPoint slides Prerequisites Signals and SystemsLecturer Zhou Lian
Course title Experiment of Communication PrincipleCredits 3Course description In this course, experiments are designed to understand the
theory of communication system and different communication techniques. It is designed for undergraduate students in Communication Engineering and Electronic Engineering. The course includes hardware and software experiments of digital source, AMI and HDB3 coding and decoding, digital modulation, carrier synchronization, digital demodulation, bit synchronization and frame synchronization, time division multiplexing digital system, pulse encoding modulation and demodulation. The course is a prerequisite for all of the advanced communication courses.
Course objectives By the end of the module, the students should Understand the fundamental ideas and issues of analog
and digital communication; Understand the basic concept and principle of analog
and digital communication; Acquire the knowledge of typical communication
technologies; Take qualitative analysis of communication systems; Obtain the knowledge of and skills in establishing
model of typical communication system
Debug a given communication circuit; Design a communication system according to
requirement in details ; Analyse and troubleshoot the problems in the
experiments of the module;Course methods The course contents are taught through lectures, hardware
and software experiments. Students will be required to work in teams for eight experiments of hardware and software respectively.
Course assessment The course grade depends on students’ performance in experiment performance and final exam.
Reading Handout and copies of PowerPoint slides Prerequisites Advanced mathematics, general physics, circuit theory,
signal and system, electronic circuit, digital circuit, information theory
Lecturer Jing Wu
Course title Electronic Systems DesignCredits 3Course description
This course is composed of five labs which ask the students to apply what they learnt from the lectures in the earlier 1/2 years to their designs. Basically, the students are asked to develop an entire electronic monitoring system for a specific sensor (force, temperature, acceleration, sound, etc.) in a group. In the first two labs, the students learn the basic principles of usual sensors and sensing methods, as well as the circuits to tune the sensor signal. In the last 3 labs, the students are asked to model the sensor, develop an analog amplification and conditioning circuit to tune the input sensor signal and test it on the breadboard. They must also develop the PCB layout of their system. At the conclusion of these labs the group will have to present a final report detailing their design process in a clear and concise manner.
Course objectives Providing an opportunity for the students to comprehensively apply what the learnt in other lectures to design and implement an entire electronic monitoring system, which will greatly contribute to their comprehensive capacity.
Help the students to better understand the design flow of a general electronic system and develop a standard design habit.
Experience a hybrid design of sensors, analog circuit, digital circuit, MCU application and PC programming.
Course methods The course contents are taught through a 5-session lab. Students will be required to fabricate an entire electronic monitoring system in group.
Course assessment The course grade depends on students’ performance in group discussion, final design project and conclusion report.
Reading Handout and copies of PowerPoint slides Prerequisites Mat lab programming; Electric Circuits (including circuit
analysis, analog circuit, digital circuit); Lecturer Liqing Zhou
Course title Telecommunication & Network systemCredits 4Course description The world is becoming increasingly interconnected and the
amount of information to be transferred via networks is staggering. People, corporations, and governments are actively seeking telecommunications professionals to design, manage networks and telecommunications systems. This course prepares undergraduate students to enter the telecommunications industry in entry-level positions with adequate preparation to assume management positions once work experience is gained. Graduates will possess an in-depth technical understanding of networks and telecommunication systems that are important in the design and development of local and wide area networks, and national and multinational telecommunication systems.
Course objectives The Network & Telecommunications Management program is designed to provide students with: A basic knowledge in telecommunications
technologies. A working knowledge of the information systems
processes used in telecommunication systems. A technical understanding of the design and
development of local and wide area networks and national and multinational telecommunications systems.
Course methods The course contents are taught through training on the telecommunication system, including switch, SDH devices, mobile communication. Students will be required to collect and learn the references for their homework.
Course assessment The course grade depends on students’ homework and final exam.
Readings Handbook of devices and copies of Power Point slides.Prerequisites To be admitted to this course the students must have
successfully completed the following courses: Communication principle Data Communication Principles
Lecturer Jiang Hao, Yi Benshun, Yang Guangyi, Dai Yonghong etc
TeachersYuanyuan ZengAssociate ProfessorWuhan University, [email protected]
Professional Experience
Yuanyuan Zeng, female, born in Oct. 1980, PhD/Postdoc. She is now an associate professor at School of Electronic Information, Wuhan University. Her research interests include wireless sensor networks, urban sensing, etc. She was a research assistant in City University of Hong Kong. She committed her postdoctoral research at Department of Computer Science, University College Cork, Ireland. She also went to US college for research work. She is now in charge of a dozen projects such as Chinese national foundation project, Hubei province national foundation
project, Jiangsu province national foundation project, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars State Education Ministry, etc. She also takes part in the National Basic Research Program of China 973 Program project and some other projects cooperating with corporations such as Huawei, etc. She has published over 50 papers at international conferences and journals. She published research book “Wireless Sensor Networks: Technology and applications” by Qinghua university press, and textbook “Introduction to Internet of Things” as well as one book chapter in English. She is now in editorial board for International Journal on Advances in Networks and Services and International Journal of Design, Analysis and Tools for Integrated Circuits and Systems. She is Program Committee for dozens of international conference(such as PlatCon 2015, ICWMC 2014, MSN 2013, BWCCA 2013, DATICS-GPC 2013) and reviewer for some international journals including ACM Trans on Sensor Networks, etc.
Expertise Urban sensing, human-centric sensing, wireless networksCourses Wireless communications, Data structure
Gao XunLecturerElectronic Information School027-6875 [email protected]
Professional Experience
Gao Xun received the B.S. degree in electronic information engineering, M.S. in signal and information processing, and the Ph.D. degree in communication and information system from Wuhan University, Hubei, China in 2003, 2005 and 2009, respectively.From 2012 to 2013, he was a visiting associate research scholar with Department of Electrical Engineering, Princeton University. Since 2009, he has been a lecturer with the Electronic Information School, Wuhan University. His research interests include battery-aware task
scheduling, electric vehicle charging network scheduling, system-level power analysis and optimization, HW/SW co-design, nanoscale integrated circuit and SoC/NoC design methodology.Dr. Gao is a senior member of China Institute of Communications, and serves as a member of Communication ASIC Committee, China Institute of Communications. His honors and awards include, Gold Prize of 1st China College Students’ “Internet Plus” Innovation and Entrepreneurship Competition, 2nd Prize for Progress in Science and Technology of Hubei Province, and the best paper awards of China Communication Integrated Circuit Conference by China Institute of Communications in 2005, 2009 and 2011.
Expertise Information and Communication EngineeringCourses Analog Circuit
Analog Circuit LabEnglish for Ph. D. Candidates
Chengcheng GuoProfessorThe School of Electronic Information, Wuhan University16 Luojiashan, Wuhan, Hubei, ChinaE-mail: [email protected]
Professional Experience
Chengcheng Guo completed a Bachelor’s degree and Master degree in Computer School of Wuhan University, and completed a PH.D degree in Electronic Information School of Wuhan University. He used to be an engineer of Wuhan Computer Institute. Later, he works in Wuhan University as lecturer and associate professor and professor. His main research interests include the key technology of Next Generation Network, the Network, the real-time and reliability of network transmission, Wireless Mesh Network. He has taught the Computer Communication Network course for
undergraduates and the Internet Technology course for graduated students more than ten years.
Expertise Information and Communication EngineeringCourses Computer Communication Networks
Li LiAssociate ProfessorEIS, Wuhan [email protected]. 08:00-17:00
Professional Experience
Li Li was born in Wuhan, China. He received the Master degree Power Electric and the Doctoral degree (Ph.D.) in Computer Applied Technology from Wuhan University, Wuhan, in 1997 and 2001, respectively.From fall 2003 to fall 2005, he was a Postdoctoral researcher in Communication Engineering Dept. of Tokyo Institute of Technology, Tokyo, Japan. He works in Wuhan University as lecturer and associate professor. His main research interests include signal and information processing, image processing, machine vision and sensor network. He has taught the Electric circuit analysis course and multimedia communication technology course for undergraduates more than ten years. He has authored or co-authored more than 30 scientific articles in journals, books, and conference proceedings.
Expertise • Computer Vision and Image Processing• Image acquisition, retrieval, enhancement• Intelligent sensor technology• Virtual Reality and 3d
Courses Circuits analysis
Yu LeiAssociate ProfessorElectronic and Information School, Wuhan [email protected]. 08:00-17:00
Professional Experience
YU Lei was born in Hubei, China. His education and work experience is following:2013~, Associate Professor, Signal Processing Lab., E.I.S., Wuhan University2012~2013, Post-doc in INRIA Rennes, Equipe de VISAGES,supervisors: Christian Barillot, Rémi Gribonval, Pierre Maurel;2006~2011, PhD, Signal and Information Processing, collaboration between Wuhan University and ENSEA, 2002~2006, Bachelor, Electronic and Information Engineering, at Wuhan University.Yu Lei’s research interests include Compressive Sensing, Sparse Representation, and Image Processing.
Expertise Compressive Sensing, Sparse Representation, Image Processing
Courses Digital Signal Processing
Jing WuLecturerSchool of Electronic Information, Wuhan UniversityLuojiashan Road, Wuhan, [email protected]
Professional Experience
Dr. Jing Wu is a lecturer of School of Electronic Information in Wuhan University in China. She got her Ph.D. and bachelor degrees from School of Electronic Information in Wuhan University in 2008 and 2002 respectively. She works as a postdoc in LIMOS (Informatique, Modélisation et Optimisation des Systèmes) in 2010. Her current interest include key technologies in space information network, distributed simulation of
integrated future network.Dr. Wu has published more than 10 academic papers and 5 patents licensed.
Expertise Network simulation; Satellite Network; Wireless sensor Network; Wireless Communication
Courses Principles of Communication, Information Theory
Zhou, YunliangAssociate ProfessorElectronic Information of School, Wuhan [email protected]
Professional Experience
Zhou, Yunliang was born in Hunan, China. In June of 2007 she received her doctoral degree in space physics from Wuhan University.From 1999 to 2004, she was an Assistant teacher in Wuhan Surveying and Mapping Science and Technology University. Between 2005 and 2010, she was a lecturer in Wuhan University. From 2011-2015, she has been an associate professor in Wuhan University. She is a visiting scholar from August 2015 to August 2016 at Geosciences Research Center of Germany.Zhou, Yunliang’s research interests include the coupling of ionosphere and thermosphere and its response to geomagnetic storms.
Expertise Ionosphere and thermosphere couplingCourses Signal and system; Introduction of geospace environment
and exploring techniques.
Chu HEProfessorElectronic Information School, Wuhan University, Wuhan, 430079Office: 206, Phone: 86 27-68778181Email: [email protected] hours: By appointment
Professional Experience
Chu HE received the B.S., M.S. and Ph.D. degrees from Wuhan University, Wuhan, China, in 1996, 1999, and 2007, respectively. Since 1999, he has been with the School of Electronic Information, Wuhan University, where he has been an Professor since 2014 and where he is also currently with the State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing. From 2007 to 2008, he was a Visiting Scholar with the Machine Vision Group, University of Oulu, and Oulu, Finland. He has authored more than 70 papers in journals and conferences.
Expertise image processing, computer vision, and remote sensing image interpretation
Courses Digital Image Processing
Tiancan MeiAssociate ProfessorElectronic Information School, Wuhan [email protected]. 08:00-17:00
Professional Experience
Tiancan Mei was born in Wuhan, China. He received the Master degree Metrology and Testing from Wuhan Technical University of Surveying & Mapping (amalgamated into Wuhan University in 2000), Wuhan and the Doctoral degree in Photogrammetric and Remote Sensing from the Wuhan University, Wuhan, in 1997 and 2005, respectively.From fall 1997 to the end of 2000, he was a Teaching Assistant with the Department of Optics Instrument, Wuhan
Technical University of Surveying & Mapping. Between 2000 and 2008, he was a lecturer with School of Electronics Information Engineering (EIS), Wuhan University. Since that, he is Associate Professor with EIS. Between 20013 and 2014, he was a Visiting Scholar with University of California, Riverside (UCR).Tiancan Mei research interests include image classification, machine vision, machine learning, computer vision, and pattern recognition.
Expertise Image analysis, image segmentation, image classification, machine vision, computer vision, machine learning.
Courses Digital Image Processing
Dr. Jianfeng YangAssociate ProfessorElectronic Information School, Wuhan UniversityRoom [email protected]. 08:00-17:00
Professional Experience
Dr. Jianfeng Yang was born in Jiangsu Province, China. He received the bachelor degree of Electronic Engineering, Master degree of Signal and Information Processing and the Doctoral degree in Communication and Information System from Wuhan University in 1998, 2001, and 2009 respectively.He served as a teacher in Electronic Information School in Wuhan University since 1998, and from fall 2010 thus far, he was an associate professor and master supervisor, PhD candidate co-supervisor in the area of Communication and Information Engineering. He has been the visiting scholar in Intel and Northwestern University in the United States in 2011 and 2015 separately.His courses opened for undergraduate students include “Multi-core Programming” and “Embedded System Design”, his research interests are in wireless network, security and measurement for networking and large-scale distributed systems, Data Mining, and Embedded System. He won the Google Scholar award in 2011 and 2014.He serves as Committee member of Embedded Technical Committee, China Computer Federation since 2012, serves as Judge of the National Undergraduate Embedded System
Design Contest since 2010. And he also serves as TPC member of ICESS, ICINIS, ICYCS, etc.
Expertise wireless network, security and measurement for networking and large-scale distributed systems, Data Mining, and Embedded System
Courses “Multi-core Programming, and “Embedded System Design”
Jing YangLecturerElectronic Information School, Wuhan [email protected]. 08:00-17:00
Professional Experience
Jing Yang was born in Hubei, China. She received the Diploma degree in electronic information science and technology and the Doctoral degree in communication and information system from the Wuhan University, China, in 2005 and 2010, respectively.From 2011 to 2014, she was a Post doctor in Wuhan University. Since 2014 she is a lecturer with Wuhan University.She is a member of IEEE, AGU and IEICE. She has authored or co-authored more than 10 scientific articles in journals, books, and conference proceedings.Jing Yang’s research interests include ocean remote sensing with HF radar and UHF radar.
Expertise Radar Remote Sensing, HF radar, UHF radarCourses Digital Logic Circuit
Wen YangProfessorSchool of Electronic Information, Wuhan [email protected]. 08:00-17:00
Professional Wen Yang was born in Xiantao, Hubei, China. He received
Experience the B.Sc. degree in electronic apparatus and surveying technology, Wuhan Technical University of Surveying and
Mapping (WTUSM，which has been merged as Wuhan
University with other 3 universities from Aug. 2000.), M.Sc. degree in Computer Application Technology from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, in 1998 and 2001, respectively, and the Ph.D. degree in communication and information system from Wuhan University, in 2004.From 2008 to 2009, he was a visiting scholar in the AI (Apprenticing et Interfaces) team with Bill Triggs in the Laboratorial Jean Kuntzmann (LJK) in Grenoble, France. From 2010-2013, he was a Postdoctoral Research Fellow with the LIESMARS, Wuhan University. From 2006-2013 he was Associate Professor with School of Electronic Information, Wuhan University and since 2013 he is Full Professor there.He is a member of IEEE signal processing society and IEEE Geosciences and Remote Sensing Society. He has authored or co-authored more than 100 scientific articles in journals, book chapters, and conference proceedings. His research interests include image processing and analysis, computer vision and machine learning with their applications to remote sensing.
Expertise Image Understanding, Computer Vision, SAR Remote Sensing
Courses Elements of Information Theory; Data Mining and Information Processing
Haijian ZhangAssociate ProfessorSchool of Electronic Information, Wuhan [email protected]
Professional Experience Haijian Zhang was born in Yichang, China. He received the
B.Sc. degree in electronic information engineering from
Wuhan University, Wuhan, China, in 2006 and received the joint Ph.D. degrees from Conservatoire National des Arts et Métiers (CNAM), Paris, France, and Wuhan University, in 2011. From 2011 to 2014, he was a research fellow with the school of electrical electronic engineering, Nanyang Technological University (NTU), Singapore. He is currently with the Electronic School Information, Wuhan University, China. His main research interests include time-frequency analysis, array signal processing, Compressing sensing, and cognitive radio.He is the member of IEEE, and he has authored or co-authored more than 20 scientific articles in journals and conference proceedings.
Expertise Cognitive Radio, Time-Frequency Analysis, Array Signal Processing.
Courses Digital Signal Processing
Chen ZhaoLecturer School of Electronic Information, Wuhan University(86) [email protected]. 08:30-17:30
Professional Experience
Chen Zhao was born in Wuhan, China. He received the bachelor's degree in communication engineering and the Doctoral degree in radio physics from Wuhan University, Wuhan, in 2007 and 2012, respectively.From fall 2012 to the end of 2014, he has been a Postdoctoral Research Fellow with the school of electronic information, Wuhan University. Since 2015 he is a lecturer with school of electronic information.Chen Zhao’s research interests include ocean surface remote sensing with HF and microwave radar, radar and array signal processing.
Expertise Radar signal processing, array signal processing, radar theory and system, radio oceanography.
Courses Information theory and coding
Wenwei WANG, Dr.-Ing.Professor AssociateSchool of Electronic Information, Wuhan UniversityTel: [email protected]
Professional Experience
Wenwei Wang was born in Wuhan, China. He received the Bachelor degree in Electrical Engineering from Peking University in 1988 and the Master degree from Wuhan University in 1991. He received the PhD degree (Dr.-Ing.) in Electrical Engineering from University Duisburg, Germany, in 2002, with the thesis “Off-line Cursive Handwritten Word Recognition Using Hidden Markov Models and Multiple Classifier Combination”.From July 1991 to May 1997, he was a Research Assistant and Lecturer with EIS, Wuhan University. Between June 1997 and July 2002, he was a Visiting Scholar with University Duisburg, Germany. From August 2002 to July 2003 he was a Postdoctoral Research Fellow with Dept. of Computer Science, University Duisburg, with research in handwriting recognition, document analysis and machine vision. Since August 2003 he is Professor Associate with EIS, Wuhan University.He is member of International Association of Pattern Recognition, China Society of Imaging and Graphics, China Institute of Communications. He has authored or co-authored more than 60 scientific articles in journals, books, and conference proceedings.His research interests include pattern recognition, neural network, image processing, machine vision and object-oriented programming.
Expertise Statistical pattern recognition and neural network with specialization on optical character recognition and image processing. Object-oriented programming with C++/C#/Java in multi-platform environment.Microsoft certified Product Specialist and System Engineer.
Courses Data structure, pattern recognition and machine learning, Numerical Optimization.
Jia YanLecturerWuhan [email protected]. 08:30-18:00
Professional Experience
Jia Yan was born in Hubei, China. He received the Diploma degree in electronic information science and technology and the Doctoral degree in communication and information system from the Wuhan university, in 2005 and 2010, respectively.From spring 2011 to the start of 2014, he was a Postdoctoral Research Fellow with the postdoctoral research center for physics of the earth geophysics, Wuhan university. Since 2014 he is Lecturer for electronic information engineering. He has authored or co-authored more than 20 scientific articles in journals, searched by SCI or EI.He also serves as reviewer for the Neurocomputing and the Journal of Visual Communication and Image Representation. Jia Yan’s research interests include online object detection and tracking, no reference image quality assessment and saliency detection.
Yun GongAssociate ProfessorElectronic Information School, Wuhan UniversityWuhan, Hubei, [email protected]
Professional Experience
Yun Gong was born in Wuhan, Hubei, China. He received the Bachelor’s degree in Electrical Engineering from Wuhan University in 2006. He Joined Miami University
(U.S.A.) as a graduate student in 2008 and spent four years in Miami University and has done most of his Ph.D. research work during his stay. He received Master’s degree from Miami University and PhD degree from Wuhan University in 2012, respectively.From August 2006 to July 2008, he was a research assistant with the Wuhan University. Between August 2008 and March 2012, he was a research assistant with Electrical and Computer Engineering Department at Miami University. From August 2012 to March 2015, he has been a Postdoctoral Research Fellow and Visiting Instructor with the Miami University. Since January 2015, he is an Associate Professor with Electronic Information School at Wuhan University .Yun Gong’s dissertation was awarded one of the best PhD dissertations in Hubei province in 2013. He received the URSI young scientist award in 2014. He is the author of one scientific book and the author or co-author of 17 peer-reviewed scientific journals. He has served as a reviewer/referee for Chinese Natural Science Foundation, Journal of Geophysical Research – Space Physics, Chinese Journal of Geophysics.
Expertise Radar and satellite sensing techniques and their applications; Atmospheric tides and waves; Ionospheric dynamics; Electrodynamic coupling between thermosphere and ionosphere.
Courses Digital Signal Processing; Numerical Methods Using MATLAB
Jiang HaoSchool of Electronics Information, Wuhan University, Wuhan 430072, P. R. China+86 [email protected]
Professional Experience
EducationPh.D. in Education: School of Electronics Information, Wuhan University Wuhan, P. R. China.M.A. in Education: School of Electronics Information, Wuhan University,Professional ExperienceNov 2011 ~ Present Professor, Wuhan University, China.Sep 2008 ~ Nov 2008 Visitor, University of Calgary, Calgary, Canada.
July2007~ Aug 2007 Visitor, LIMOS, Clermont-Ferrand, France.July 2004 ~ 2007 Associate Professor, Wuhan University, China.Oct2005 ~ Dec 2005 Visitor, ISIMA, B.Pascal university, France.Oct 2004~Oct 2005 Post-doc,LIMOS, Clermont-Ferrand, France.
Expertise Mobile Ad hoc networkMobile Big DataData Mining
Courses Telecommunication & Network system
XU XinProfessorElectronic Information School, Wuhan University, Wuhan, 430072Tel. +86 27 6875 2836Email: [email protected]
Professional Experience
Xu Xin received the B.S. degree in Electronic Engineering, M.S. in Signal and Information Processing, and the Ph.D. degree in Photogrammetric and Remote Sensing from Wuhan University, Hubei, China in 1989, 1996 and 2003, respectively. From 2003 to 2004, he was a visiting scholar with Lab. of Information and Signal Processing, Department of Electric and Electronic Engineering, University of Western Australia. Now he is the direct of Department of Communication Engineering, Information School, and Wuhan University. His research interests include Image Processing, Signal processing in Communication Systems. He is author of more than 70
research publications.Expertise Signal and Information processingCourses Digital Signal Processing, Speech Signal Processing
