My family!

I can't live with out you!!!


Hurra!
Darling,I am crazy about you,you are my world,I miss you so much!!!

Course description 7

24. Western Economics

Short description of macro and mecro economics.

25. Finite Element Method

Short description, small deformation non-linear solid mechanics problems, non-linear quasi-harmonic field problems. Iterative techniques, Ritz-Galerkin approximation, error estimates, piecewise polynomial apaces - the Finite Element Method.

26. Computer Application Technology VB

Short description , basis concepts , overview of computers and programming , algorithm, data type, expression type, parameter passing among functions, local and global variables and the recursive programming . Design Using VB, variables and basic types, arrays and pointers, functions, algorithms, tools for large programs, specialized tools and techniques.

27. Elementary Number Theory

Short description, Integral the most basic property. Sums of higher powers and fermat’s last theorem. Divisibility and the greatest common divisor, linear equations, factorization and the fundamental theorem of arithmetic, congruences， powers， and Fermat’s little theorem, computing kth roots, Roots.

28. Computer Graphics

Short description, overview of graphics systems, geometric transformations. Two-dimensional viewing, three-dimensional viewing, three-dimensional object representations, visible-surface detection nethods, color models and color applications, computer animation, etc..

29. Spectral Method Numerical Analysis

Short description ,Chebyshev difierentiation matrices, Chebyshev difrentiation by FFT, Clenshaw curtis quadrature, complex arithmetic, eigenvalue problems, finite difference methods. GauSS quadrature, Laplace and Poisson problems, nonlinear problems, spectral accuraecy.

30.The website design

Short description and introduce various website design software. For example, Dreamweaver, ASP, JSP, FrontPage, HTML, JavaScript, VBScript.

Course description 6

19. Matrix Theory

Matrix analysis, general linear systems, special linear systems, linear space and linear transformation, orthogonalization and least squares. The unsymmetric eigenvalue problem, the symmetric eigenvalue problem. Iterative methods for linear systems, reductions and transformations. Methods for the dominant eigenvalue. Methods for the subdominant eigenvalue. Inverse iteration. Jacobi's methods, Givens and Householder's methods. Eigensystem of a symmetric tridiagonal matrix. The LR and QR algorithms. Extensions of Jacobi's method, extension of Givens' and Householder's methods. QR Algorithm for Hessenberg matrices. SOR method and related methods.

20. Visual C++

Short description ,basic facilities. Design using C++, variables and basic types, library types, arrays and pointers, functions, algorithms, tools for large programs, specialized tools and techniques.

21. Partial Differential Equations

Short description, basics of functional analysis. Lax-Milgram lemma, Sobolev spaces, Galerkin methods, the finite element method, basic features, convergence analysis for 1D problems. Error control, a-priori and a-posteriori analysis. Advection-diffusion problems. Stabilization techniques, Galerkin Generalized schemes for boundary layer problems. Parabolic problems. Space-time approximations with finite elements and finite differences. Hyperbolic (convection) problems. conservative finite difference schemes for scalar problems. Continuous and discontinuous finite elements.

22. MATLAB 2

Short description , mainstream areas of image processing. intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, image data compression, morphological image processing, image segmentation, region and boundary representation and description, and object recognition. Solve image processing problems using MATLAB and IPT functions. New function was written and documented , implement new image processing software solutions.

23.The information science and foundation

Short description, entropy，relative entropy and mutual information, entropy rates of stochastic process, channel capacity, differential entropy, the Gaussian channel, information theory, coding, channel coding theorem.