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FIRST YEAR
# Course ID Course name Semester E L Lab ECTS Mandatory /Elective
1 Elective courses 1
31001 Metrology - Selected Chapters 1 5 0 2 10 E
31002 IT in Power Systems 1 5 0 2 10 E
31003 Application of Artificial Intelligence in Electrical Engineering 1 5 0 2 10 E
31004 Mathematical Modeling in Magnetism 1 5 0 2 10 E
31005 Electrical Machines - Selected Chapters 1 5 0 2 10 E
31006 Optimization Method in Electrical Engineering 1 5 0 2 10 E
2 Elective courses 2
31007 Mathematical Analysis - Selected Chapters 2 5 0 2 10 E
31008 Electromagnetics - Selected Chapters 2 5 0 2 10 E
31009 Sensorics 2 5 0 2 10 E
31011 Digital Signal Processing 2 5 0 2 10 E
31012 Uninterupted Power Supply Systems 2 5 0 2 10 E
31013 Electrical drives - Selected Chapters 2 5 0 2 10 E
31014 Measuring Transformers 2 5 0 2 10 E
31015 High-Voltage Substations 2 5 0 2 10 E
3 31016 Research work 1 2 0 0 7 10 M
THIRD YEAR
# Course ID Course name Semester E L Lab ECTS Mandatory /Elective
7 31032 Doctoral Thesis (research work) 5 0 0 20 30 M
8 31033 Doctoral Thesis - preparation and defence 6 0 0 20 30 M
The PhD programme ELECTRICAL AND COMPUTER ENGINEERING is a three-year programme of 180 ECTS that is normally based on a five-year master’s degree. The programme consists of a coursework section of 90 ECTS credits and a doctoral dissertation.

A broad spectre of research specializations is available, offered by a large and research-intensive faculty that also gives access to international research. The doctoral programme in Electrical and Computer Engineering is organized within three modules:

1. Electric Power Engineering (power networks of the future that are of high relevance to society and industrial needs, metrology and precise measurements, electrical machines)
2. Computer Engineering (computer and sensor networks, design of embedded systems and applications, image processing and artificial intelligence)
3. Advanced Materials and Technologies in Electrical Engineering (advanced amorphous and nanostructured materials, electroceramics, polymers, application of soft magnetic materials in sensorics)