来源：NTU
The aim of the M.Sc. programme is to provide practising engineers advanced and yet practical tools in the development, integration, and operation of computer-based control and automation systems. It is especially meant to provide specialised advanced tools to electrical engineers or those with equivalent qualification, who are working in an interdisciplinary area of computer-based control and automation systems.
The requirements for the degree comprise either of the following two options: a) Coursework + Project/Dissertation Option, or b) Pure Coursework Option
a) Coursework + Project/Dissertation Option: Four core subjects, four electives and a project on which the candidate must submit a dissertation. The project is examined by dissertation, and may be undertaken either in NTU or in industry.
b) Pure Coursework Option: Four core subjects, five electives and an independent study module (EE6290).
The programme is run during evenings. The examinations will require attendance during office-hours. Part-time candidates are expected to obtain their employer’s permission for this before admission to the programme.
The minimum and maximum periods of candidature for a full-time candidate are one year and three years respectively. The minimum and maximum periods of candidature for a part-time candidate are two years and four years respectively.
1) Core Subjects
 EE6401 Advance Digital Signal Processing
EE6203 Computer Control Systems
EE6204 Systems Analysis
EE6205 Real Time & Embedded Systems
2) INDEPENDENT STUDY (for Pure Coursework Option Only)
EE6290 Independent Study
3) Electives (select any 4 subjects for Option a), or any 5 subjects for Option b).
EE6221 Robotics & Intelligent Sensors
EE6222 Machine Vision
EE6223 Computer Control Networks
EE6224 Neural & Fuzzy Systems
EE6225 Process Control
EE6402 Real-Time DSP Design & Applications
| Note: |
Curriculum is subject to changes. |
| EE6401 ADVANCE DIGITAL SIGNAL PROCESSING |
| Spectrum Analysis. Filtering. Adaptive Signal Processing. Multirate Digital Signal Processing. DSP Architectures. Applications of Digital Signal Processing. |
| EE6203 COMPUTER CONTROL SYSTEMS |
| Discrete-time system modelling and analysis. Cascade compensation. State-space design methods. Optimal control. Design and implementation of digital controllers. |
| EE6204 SYSTEMS ANALYSIS |
| Linear, dynamic and integer programming. Random processes. Queuing models. Optimization techniques. Markov decision process. |
| EE6205 REAL TIME & EMBEDDED SYSTEMS |
| Fundamentals of real time and embedded systems. Real time operating systems. Design methodologies. Development, debugging tools and programming languages. Reliability. Case studies and applications. |
| EE6290 INDEPENDENT STUDY |
| To undertake an independent in-depth study on an assigned topic under supervision. |
| EE6221 ROBOTICS & INTELLIGENT SENSORS |
| Overview of robotics. Motion planning and control. Mobile robots. Controller hardware/software systems. Sensor systems and integration. |
| EE6222 MACHINE VISION |
| Fundamentals of Computer Vision. Feature Extraction Techniques. Object Recognition and Interpretation. Three Dimensional Computer Vision. Machine Vision Application. |
| EE6223 COMPUTER CONTROL NETWORKS |
| Data Networks in Control and Automation. Local Area Network Concepts and Fieldbus. Application Layer of Fieldbus and MAP. Internetworking and Protocols. Real-time Operating Systems and Distributed Control. Network Performance and Planning. Multimedia in Advanced Control and Instrumentation. |
| EE6224 NEURAL & FUZZY SYSTEMS |
| Neural Dynamics and Models. Synaptic Dynamics. Back-propagation Learning for System Identification. Fuzzy Theory. Fuzzy Systems. Control Applications. |
| EE6225 PROCESS CONTROL |
| Basic control algorithms. Advanced control strategies. Multivariable control. Plant parameter estimation. Process modelling and simulation. Case studies in process control. |
| EE6402 REAL-TIME DSP DESIGN & APPLICATIONS |
| Architectures for general-purpose digital signal processors. Peripherals for DSP applications. Development tools for DSP applications. Digital FIR/IIR filter implementations. Fast Fourier transform implementations. |
| EE6503 Modern Electrical Drives |
| Introduction. DC Motor Drives. Induction Motor Drives. Synchronous Motor Drives. Servo-Motor Drives. |
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