For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| ECE5910 | Advanced Probability and Random Processes | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| The aim of this course is to develop a thorough understanding of the principles of random processes and knowledge of applying them to some problems in electrical engineering. First, the basic theory in probability and random process is introduced, paying particular attention to the multivariate Gaussian density function. Then, the theory of random processes and their characterization by autocorrelation and power spectral density functions is developed. The theory is then applied to the design of optimum linear systems. | |||||||||
| ECE5911 | Advanced Topics on Performance Evaluation | 3 | 6 | Major | Master/Doctor | 1-5 | - | No | |
| The study of abstraction of a system in the real world into some kind of tractable model for the performance evaluation of the system in concern. The techniques used are probability theory, basic queueing analysis, the computer modeling and simulation method, and statistical analysis method for data analysis. | |||||||||
| ECE5911 | Advanced Topics on Performance Evaluation | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| The study of abstraction of a system in the real world into some kind of tractable model for the performance evaluation of the system in concern. The techniques used are probability theory, basic queueing analysis, the computer modeling and simulation method, and statistical analysis method for data analysis. | |||||||||
| ECE5912 | Advanced Electromagnetism | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| The topic of this course is the theoretical analysis of electromagnetic wave phenomenon. Organization of this course is as follows. The course begins with brief introduction to Maxwell's equations. Next, wave equations, characteristics of plane waves, waveguides and resonators, and radiation theory are discussed. Several equivalence theorems and the concept of Green's function are explained. Then, solutions of wave equations and scattering are discussed in cartesian, cylindrical, and spherical coordinates respectively. Finally, the techniques of perturbational and variational techniques are introduced. | |||||||||
| ECE5912 | Advanced Electromagnetism | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| The topic of this course is the theoretical analysis of electromagnetic wave phenomenon. Organization of this course is as follows. The course begins with brief introduction to Maxwell's equations. Next, wave equations, characteristics of plane waves, waveguides and resonators, and radiation theory are discussed. Several equivalence theorems and the concept of Green's function are explained. Then, solutions of wave equations and scattering are discussed in cartesian, cylindrical, and spherical coordinates respectively. Finally, the techniques of perturbational and variational techniques are introduced. | |||||||||
| ECE5913 | Advanced Signal Processing | 3 | 6 | Major | Master/Doctor | 1-5 | - | No | |
| A survey of techniques for signal processing going beyond Fourier based approaches. Orthogonal transforms such as Walsh and Hadamard. Homomorphic techniques, generalized Wiener filtering, rank order filtering. Model based signal processing including autoregressive and maximum entropy, frequency-time and space-time, emphasis on algorithms and self paced projects are also covered. | |||||||||
| ECE5913 | Advanced Signal Processing | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| A survey of techniques for signal processing going beyond Fourier based approaches. Orthogonal transforms such as Walsh and Hadamard. Homomorphic techniques, generalized Wiener filtering, rank order filtering. Model based signal processing including autoregressive and maximum entropy, frequency-time and space-time, emphasis on algorithms and self paced projects are also covered. | |||||||||
| ECE5914 | Advanced Digital Communications | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| Topics include mathematical modeling of communication channels, digital signal design for the efficient information transmission, and optimum receiver design for the recovery of the distorted signals due to channel effects. More specifically, the following topics are introduced: performance analysis of digital modulation/demodulation schemes, signal detection/estimation, and channel coding. In addition, basics of the spread spectrum communications are discussed. | |||||||||
| ECE5914 | Advanced Digital Communications | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| Topics include mathematical modeling of communication channels, digital signal design for the efficient information transmission, and optimum receiver design for the recovery of the distorted signals due to channel effects. More specifically, the following topics are introduced: performance analysis of digital modulation/demodulation schemes, signal detection/estimation, and channel coding. In addition, basics of the spread spectrum communications are discussed. | |||||||||
| ECE5915 | Introduction to Solid State Physics | 3 | 6 | Major | Master/Doctor | 1-5 | - | No | |
| Solid State Physics is concerned with the properties, often astonishing and often of great utility, that result from the distribution of electrons in metals, semiconductors, and insulators. It also tells how the imperfections of real solids can be understood with simple models using the well-known experimental results and the theories. | |||||||||
| ECE5915 | Introduction to Solid State Physics | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| Solid State Physics is concerned with the properties, often astonishing and often of great utility, that result from the distribution of electrons in metals, semiconductors, and insulators. It also tells how the imperfections of real solids can be understood with simple models using the well-known experimental results and the theories. | |||||||||
| ECE5916 | Digital Integrated Circuits | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| It covers structures and operational principles of CMOS transistors and digital citcuits (INV, NAND, NOR, LATCH, Current Mirror), computation of sizing and delays, Flash A/D converter. | |||||||||
| ECE5916 | Digital Integrated Circuits | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| It covers structures and operational principles of CMOS transistors and digital citcuits (INV, NAND, NOR, LATCH, Current Mirror), computation of sizing and delays, Flash A/D converter. | |||||||||
| ECE5917 | SOC Architectures | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| This course introduces basic components of system on chip and platform-based design for SoC. It covers the subjects on SoC system specification, platform-based design and platform architectures, embedded system hardware/ software components, programmable processor core in SoC, embedded memory architecture, and architectural integration of SoC | |||||||||
| ECE5917 | SOC Architectures | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| This course introduces basic components of system on chip and platform-based design for SoC. It covers the subjects on SoC system specification, platform-based design and platform architectures, embedded system hardware/ software components, programmable processor core in SoC, embedded memory architecture, and architectural integration of SoC | |||||||||