Master by Research

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

Untuk menghasilkan graduan selepas 5 tahun mendapat ijazah Sarjana yang:

To produce graduates after 5 years of obtaining Masters degree, who are able to:

No.	PEO
PEO1	Mengamalkan pengetahuan dan kompetensi praktikal dalam penyelidikan di kejuruteraan elektrik pada tahap lanjutan Practice knowledge and practical competency in research on electrical engineering at advanced level
PEO2	Mengamalkan profesion kejuruteraan pada tahap lanjutan Practice the profession of engineering at advanced level
PEO3	Menjalankan penyelidikan dengan penyeliaan yang minimum pada tahap yang lebih tinggi Perform research with minimal supervision at higher level

 

PROGRAMME LEARNING OUTCOMES (PLO)

Pada masa bergraduan, graduan adalah dijangkakan berupaya:

At the time of graduation, the graduates are expected to have:

 

No.	PLO	Kemahiran	Domain
PLO1	Menunjukkan pengetahuan yang mendalam serta pemahaman dalam teori dan konsep pada tahap lanjutan dalam bidang kejuruteraan elektrik. Demonstrate in-depth knowledge and understanding of theory and advanced concepts in electrical engineering discipline.	Pengetahuan Knowledge	C
PLO2	Menggunakan kemahiran praktikal lanjutan dalam bidang kejuruteraan elektrik. Apply advanced practical skill in the discipline of electrical engineering.	Kemahiran Praktikal Practical Skills	P
PLO3	Mengaitkan idea dan menjalankan tanggungjawab profesional dengan beretika serta memberi komitmen kepada komuniti dalam bidang kejuruteraan elektrik. Relate ideas and conduct professional, ethical responsibilities and commitment to the community in the field of electrical engineering.	Kemahiran dan Tanggungjawab Sosial Social Skills and Responsibilities	C
PLO4	Melaksanakan penyelidikan dengan penyeliaan yang minimum dengan mematuhi undang-undang, etika, dan kod-kod amalan profesional. Conduct research with minimal supervision and compliance with legal, ethical and professional codes of practice.	Nilai, Sikap, dan Profesionalisme Values, Attitudes and Professionalism	P
PLO5	Menunjukkan kualiti kepimpinan melalui komunikasi dan kerjasama dalam kerja berkumpulan, serta dapat berkomunikasi mengenai konsep teknikal pada tahap lanjutan. Demonstrate leadership qualities through communication and cooperation within the group, and be able to communicate advanced technical concepts.	Komunikasi, Kepimpinan dan Kemahiran Berpasukan Communication, Leadership and Team Skills	A
PLO7	Menguruskan maklumat dalam bidang kejuruteraan elektrik untuk pembelajaran sepanjang hayat. Manage information in electrical engineering discipline for lifelong learning.	Pengurusan Maklumat dan Pembelajaran Sepanjang Hayat Information Management and Lifelong Learning Skills	A

For admission requirements, please refer to Center for Graduate Studies website.

 

Areas of Research:
Communication Engineering:

• Mobile Ad Hoc and Sensor Networks
• Wireless and Optical Communications
• Computational Electromagnetic Compatibility
• Ionosphere and Aerospace Sciences
• Radio Science and Satellite Communications
• Antenna and Wave Propagation
• Microwave and RF Engineering
• Digital Signal Processing

Computer Engineering:

• High-Performance Computing
• Embedded System Computing
• Image and Vision Systems
• Intelligent Systems
• Virtual Reality Systems
• VLSI Design
• Computer Network and Security

Electric Power Engineering:

• Renewable Energy
• Power Quality
• Electric Drives
• Power Electronics
• Industrial Power Systems
• High Voltage Engineering
• Power System Protection
• Power System Planning
• Power System Dynamics
• Power System Stability
• Wide-Area Monitoring

Electronic Engineering:

• Medical Electronics
• Microelectronics
• Nanotechnology
• Biomedical Engineering
• Biomedical Imaging
• Plasma Processing Technology
• Biosensors
• Cell Engineering
• Telemedicine
• Thin Film
• Solar Cell
• Biomedical Modeling & Simulation
• Bioinstrumentation

Mechatronic and Robotic Engineering:

• Industrial Automation
• Mechatronic and Robotic Systems
• Medical Robotic and Teleoperation
• Autonomous System
• Advanced Computer Vision
• Advanced Machine Learning/Neural Networks & Statistical Models
• Rehabilitation Engineering
• System Modelling & Control Engineering