- 1. Introduction
-
Based on the results of the learner’s needs survey, there are two main criteria that potential learners wish for the master program. Firstly, the program must be up-to-date and follow the trend of the world. Many good graduates aspire to gain advanced knowledge being taught at reputable universities around the world, but they have no conditions to study abroad full time. Second, potential learners want the program to be highly applied, focusing on the technology fields that are of interest in the recent time, so that learners can quickly catch up with the development trend of industrial revolution 4.0. This is the major requirement of the group of graduates who have stable jobs but wish to improve their research and development capacity.
- 2. Curriculum
-
Doctoral courses (choose 4 courses, equivalent to 12 credits)
12
Course code
Course title
credits
Theory
Lab
EE801010
Applications of Heuristic Algorithms in Electrical Engineering
3
3
0
EE801020
Advanced Topics in Optimal Power Generation among Power Plants
3
3
0
EE801030
Advanced Topics in Management tools in Electrical Distribution Systems
3
3
0
EE801040
Solar energy and Applications
3
3
0
EE801050
Wind energy and Applications
3
3
0
EE801060
Advanced Flexible AC Transmission
3
3
0
EE802010
Advanced RF System Design
3
3
0
EE802020
Advanced Topics In Analog VLSI Design
3
3
0
EE802030
Introduction to biomedical imaging systems
3
3
0
EE802040
Modern Optical Communication Systems
3
3
0
EE802050
Pattern Recognition and Machine Learning
3
3
0
EE802060
Performance Modelling for Computer Communication Networks
3
3
0
EE802070
Physical Electronics of Advanced Semiconductor Devices
3
3
0
EE802080
Security of Communication Networks
3
3
0
EE802090
Sparse Representation and Recovery
3
3
0
EE802100
Stochastic Signal Processing
3
3
0
EE803010
Microcomputer Control Systems of Electrical Drives
3
3
0
EE803020
Cybernetics in Robotics
3
3
0
EE803030
Mobile robots and applications
3
3
0
EE803040
Advances measurements and applications in automatic control.
3
3
0
EE803050
Power and Control Electronics
3
3
0
EE803060
Modern Control Theory
3
3
0
IT801010
Advanced topics in Artificial Intelligence
3
3
0
IT801050
Advanced topics in Computer vision
3
3
0
IN801100
Mathematical Modeling in Mechanics and Physics
3
3
0
IN801110
Computational Artificial Intelligence
3
3
0
IN801120
High Perfomance Computing
3
3
0
Research proposal
4
4
0
EE801900
Research proposal
4
4
0
Research topic
6
EE801910
Research topic 1
3
3
0
EE801920
Research topic 2
3
3
0
Doctoral Dissertation
70
EE801000
Doctoral Dissertation
70
0
0
- 3. Learning outcome
- PLO 2019, PLO 2022
- 4. Career Prospects
-
- Design specialists, technical directors of domestic and international companies.
- Companies and/or brand establishment.
- Lecturer, researcher at universities, colleges and institutes.
- 5. Admission schemes and Prospective students
-
Admission scheme:
Applicants for Doctor of Electrical Engineering must meet the following conditions:
Master degree or an Undergraduate degree with an excellent academic result Author of 01 justified article in the field of Electrical Engineering within 36 months of the application date or experienced in researching Must have a valid International English certificate within 24 months of the application date
