For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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 | |||||||||
| ECE5918 | Computer Control of Electric Machines | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| This lesson theoretically considers servo motor and motion control technologies, on the base of mechatronics engineering. Computer is generally used as a controller and sensor signal processor because of fast computational capability and suitable architecture, this lesson experimentally deals with servo motor based on computer for understanding. | |||||||||
| ECE5918 | Computer Control of Electric Machines | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| This lesson theoretically considers servo motor and motion control technologies, on the base of mechatronics engineering. Computer is generally used as a controller and sensor signal processor because of fast computational capability and suitable architecture, this lesson experimentally deals with servo motor based on computer for understanding. | |||||||||
| ECE5919 | Power System Analysis | 3 | 6 | Major | Master/Doctor | 1-5 | - | No | |
| This lesson discusses the basic concepts of an electric power system. Main subjects are transmission line parameter, steady-state operation, system modeling, network modeling and numerical solution | |||||||||
| ECE5919 | Power System Analysis | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | - | No |
| This lesson discusses the basic concepts of an electric power system. Main subjects are transmission line parameter, steady-state operation, system modeling, network modeling and numerical solution | |||||||||
| ECE5920 | Optimization Methods | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| Linear programming, nonlinear programming, iterative methods and dynamic programming are presented, especially as they relate to optimal control problems. Discrete and continuous optimal regulators are derived from dynamic programming approach which also leads to the Hamilton-Jacobi-Bellman Equation and the Minimum Principle. Minimum energy problems, linear tracking problems, output regulators and minimum time problems are considered. | |||||||||
| ECE5920 | Optimization Methods | 3 | 6 | Major | Master/Doctor | 1-5 | Electrical and Computer Engineering | English | Yes |
| Linear programming, nonlinear programming, iterative methods and dynamic programming are presented, especially as they relate to optimal control problems. Discrete and continuous optimal regulators are derived from dynamic programming approach which also leads to the Hamilton-Jacobi-Bellman Equation and the Minimum Principle. Minimum energy problems, linear tracking problems, output regulators and minimum time problems are considered. | |||||||||
| ECE5921 | Advanced Topics on Algorithm | 3 | 6 | Major | Master/Doctor | 1-5 | English | Yes | |
| The purpose of this course is to provide detailed understandings for time/space complexity, recurrences, algorithm design technique, lower bounds, graph/matrix/set algorithms, sorting, intractable problems. | |||||||||