Master of Science in Smart Systems Engineering

Programme Details

1. Semester
# Course Code Prerequisites Course Name Course Type Theory Practice Lab ECTS Erasmus
1 ISI 501 - Mathematical Modelling and Applications Compulsory 3 0 0 6
2 ISI 502 - Object Oriented Programming Compulsory 3 0 0 6
3 ISI 513 - Stochastic Processes Elective 3 0 0 6
4 ISI 514 - Advanced Statistical Modeling Elective 3 0 0 6
5 ISI 524 - Data Warehouses and Data Mining Elective 3 0 0 6
6 ISI 530 - System Design and Analysis Elective 3 0 0 6
7 ISI 541 - Human Computer Interaction Elective 3 0 0 6
8 ISI 542 - Internet of Things and Industry 4.0 Elective 3 0 0 6
9 ISI 543 - Advanced Embedded Systems Elective 3 0 0 6
10 ISI 550 - Complex Networks Analysis Elective 3 0 0 6
11 ISI 590 - Graduate Seminar Compulsory 0 2 0 6
2. Semester
# Course Code Prerequisites Course Name Course Type Theory Practice Lab ECTS Erasmus
1 ISI 540 - Smart Cities, Smart Technologies Elective 3 0 0 6
2 ISI 532 - Advanced Manufacturing Systems Elective 3 0 0 6
3 ISI 550 - Complex Networks Analysis Elective 3 0 0 6
4 ISI 520 - Artificial Learning Elective 3 0 0 6
5 ISI 522 - Artificial Neural Networks Elective 3 0 0 6
6 ISI 533 - Multi-Criteria Decision Making Elective 3 0 0 6
7 FBE 591 - Directed Research Compulsory 3 0 0 6
3. Semester
# Course Code Prerequisites Course Name Course Type Theory Practice Lab ECTS Erasmus
1 ISI 599 - Master’s Thesis Compulsory 0 0 0 30
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