1. Training/Research Orientation
- Physical Electronics
- Circuit and System
- Electromagnetic Field and Microwave
- Microelectronics and solid electronics
2. Program Duration and Credit
Three years generally, the maximum school years are not longer than 5 years (including the extension time).
30 credits of courses in total, at least 19 credits of academic courses.
3. Core Courses and Introduction
‘Numerical analysis’ is one of the fundamental means of research in the physical sciences and engineering. The principle ideas and theories will be taught in the class. The common used software for numerical analysis will be introduced, by which students are able to analyze experimental data. Meanwhile, students’ mathematics knowledge and skills will be enhanced. We will discuss errors in numerical computation, solving linear equations by direct process and iteration, solving nonlinear equations by iteration, obtaining latent roots, function approximations by interpolation, quadratures, numerical differentiation. Students will be familiar with the software from a series of tasks such as error analysis, solving linear and nonlinear equations and data fittings.
Engineering matrix theory
By learning this course, students will have the ability to solve practical problems with matrix methods. Meanwhile, it will promote students’ future research work and expand mathematics knowledge base. Abstract thinking can be trained. The main contents include: Jordan canonical form, Hamilton-Cayley theorem, canonical form under unitary similarity, matrix analysis (matrix sequence, matrix series, matrix functions, matrix of differential and integral, etc.), matrix factorization (Triangular decomposition, QR decomposition, full rank decomposition, singular value decomposition), eigenvalue estimation, generalized inverse matrix, the matrix direct product ,the characteristic of matrix and the generalized eigenvalue and so on.
Through studying this course, the innovating ideas and the abilities in solving problems will be trained. The theories in photoelectric technology will be taught in the class, while the newest development will be introduced. Five discussion time will be occupied. Three main contents will be included:
- light radiation, coherence light radiation, the light propagation in different mediums and detection methods
- the theories and common apparatus for imaging and display
- the newest developments in recording, displaying and remote sense
Modern Circuit Theory and Technique
Modern circuit theory and technique introduce design thought and method of the modern circuit，which take the frontier field and hot research problem of modern circuit theory as the key content. By learning of this course, students should understand the development and the latest research results of modern circuit theory, and master analysis method and design techniques of modern circuit.The main content of Modern circuit theory course includes: the basic knowledge of modern circuit, analysis and design of passive network, analysis and design of second-order active RC filter, the analysis and design of high-order active RC filter, MOSFET - C filter, conductive capacity filter, filter based on current transmitter, filter of switch capacitor and switch current, log-domain filter, etc. the analysis and design of a new type of filter, analysis and design of sampling data conversion circuit, analysis and design of chaotic circuit, analysis and design of artificial neural network.
This course is the core curriculum for graduate students majoring in physical electronics and optical engineering, which lays solid foundation of laser physics to cultivate outstanding technician and researchers. In accordance with the teaching philosophy of research university, the research-based teaching model has been adopted, which emphasize the high scientific quality and innovation in personal training. On one hand, to make students fully grasp the theoretical knowledge and application skill of lasers through brief and succinct present; on the other hand, strengthening the introduction of technology forefront to make the students familiar with the applications of laser technology in precision measurement physics, medicine, information and other cutting-edge science and technology.
This course aims to make the graduate students master the basic theory of laser systems, working principles and applications of various types of lasers. Besides, this course also help the students understand the trends and cutting-edge science and technology in relating field, and qualify them to solve practical scientific and technical problems by using the basic theories of lasers.
The main content of this course is the fundamental principle of the laser and the basic theories and methods to solve related scientific problems, including:
- outline of radiation theory and the lasing conditions
- operating principle of lasers
- the output characteristics of lasers
- basic technology of lasers
- typical laser systems
- laser applications in precision measurement physics, medicine, information technology and other cutting-edge science and technology
To make graduate students form a deep understanding of the basic theory of lasers, master the operation principle and routine testing procedure of laser systems in laboratory. The most important thing is to qualify the graduates for analyzing and solving scientific and technical problems.
Data acquisition and intelligent instrument
Students are required to obtain the concept of data acquisition and intelligent instruments and learn the design of all function modules in intelligent instruments and design of anti-interference methods in all links through the study of this course. Students are expected to develop the ability to independently design and build up the essential instruments in future research and study.
The first part introduces the basic mechanism of intelligent instruments and design method of all parts. It includes analog signal input/output channel, switch signal input/output channel, communication component, clock system, human computer interface, common process function, reliability design and etc, also introduces in detail about three types of intelligent instruments which are based on voltage measurement, temporal measurement and waveform measurement.
The second part studies the basic mechanism and design method of intelligent instruments based on the develop platform of National Instruments Labview graphical programming language.
Modern Digital Signal Processing
The course objective is to understand the basic principles of modern signal processing and master the relevant signal processing methods.
This course introduces the main methods and important developments of modern digital signal processing. The major contents include: discrete-time signal processing and discrete random signal analyzing foundation, signal linear prediction, lattice filter, the classical method and modeling method of linear modeling of the random signal, the classical method and modeling method of power spectrum estimation, frequency estimation method of feature space analysis, optimal Wiener filtering and iterative Kalman filter, adaptive filter, multi-rate signal processing and filter banks, wavelet transform, the time-frequency analysis and higher order spectral analysis methods of signal.
Chenlin Luo, Qingyu Ma, ShoupingNie, Wanchun Tang, Ming Wang, Yonghong Ye, Ming Zhang, Ning Zhang, Yinlin Xu, Yumin Zeng, Jianhua Shao, Hua Rong, Yiping Wang, Xinghe Wang, Dong Wu.