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Academics

Optical Engineering ( M.S. )

1. Training/Research Orientation

  • Photoelectric information technology and engineering
  • Photoelectric technology and photonics

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
‘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.

New algorithmsinscientific engineering
The latest techniques of algorithm design and analysis in scientific engineering will be taught to students and the papers concerning thenew algorithms will be discussed in the classroom. Students’ mathematics knowledge will be strengthened. Students will think about and solve problems from algorithm view, and develop their mathematical thinking ability. This course is a lecture-oriented one; seminar discussion is for the assistance. The main contents include: reviewing the basic algorithm design method which include divide and rule method, dynamic programming and so on; introducing the design and analysis of stochastic algorithm and approximation algorithm; current research on important issues such as computational geometry important issues; data structures are introduced.

The theory of information optics
The Fourier Optics occupies a very important position in modern optics. It is the base for analyzing optical phenomenon and propagation from information view.Students will have the knowledge to solve the problem in the future research work and the abilities to create new ideas and to solve the practical problems. Class teaching and discussions will be adopted in this course. The following contents will be included: analyze classical problems in optics problems by using linear system theory and Fourier method and express scalar diffraction theory, frequency characteristics in optical information and holography. The new technologies and theories in SLM, information storage, optical information processing will be introduced.

Photoelectric technology
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

4. Supervisors

Ming Wang, Yonghong Ye, Shouping Nie, Shaotong Feng, Zhuqing Zhu, Minfen Gu.

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