Academics

Graduate Program

Matrix Computations for Signal Processing

Subject No.
Research
Credit
Classification
Prerequisite
EE.50048
Signal
3
Required

This course deals with various matrix computation algorithms for signal processing such as linear system solving, matrix norm, positive-definite matrix. Toeplitz matrix, orthogonalization/diagonalization, eigenvalue problems, SVD (singular value decomposition), iterative methods for linear systems, and so on.

Recommend

Signal
EE.40074

This course introduces students to a variety of media elements including text, graphics, sound, video, hardware and software components and the necessity for interactivity in multimedia as well. By introducing associate fundamental technologies, the course aims to help and encourage students to develop their imaginative and creative skills using multimedia. (Prerequisite: EE202)

 

Recommend

Prerequisite

Communication, Signal
EE.20002

This course is an introduction to continuous-time and discrete-time signals and systems. The course covers Fourier series, Fourier transform, Laplace transform, and z-transform. Various types of systems with emphasis on linear time invariant system is studied.

Recommend

Prerequisite

Wave
EE.20004

This course covers introductory electromagnetic fields and waves. Static electric fields and static magnetic fields are discussed. Time-varying fields and Maxwell’s equations are introduced. Waves and transmission lines are studied.

Recommend

Prerequisite

This course covers data structures, algorithms, JAVA for electron electronics engineering. We study object-oriented programming techniques and use programming language C, JAVA.

Recommend

Prerequisite

Computer, Circuit, Communication, Signal, Wave, Device
EE.30005

Experiments related to electronics are performed. Focus is made for both hands-on experience and design practice. (Prerequisite: EE201, EE304)

 

Recommend

Prerequisite