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Program Name: Electrical Control
Department: Department of Electrical Engineering
Degree Name* : MA
Study Level* : Master’s
Course Intensity*: Full-Time
Study Mode*: On Campus
MBA Program Type: Full-Time MBA
Program Details
Broad Subject Area*: Electrical Control
Main Subject*: Electrotechnical Engineering
Custom Subject: Control, Electrical Machines…
Specialization: ……………………………………………………
Program Description:
Get more details (the responsible email)*: [email protected]
Students per Class: 27
Average age (in years): 25
Average years of work experience at managerial level:Administration staff
Percentage of international students: 0%
Percentage of women: 8%
Average salary after graduation: 250 USD
Percent employment after graduation: 10%
Average work experience (in years): Just in the current position
Number of nationalities in current cohort : 1
The master in electrical controls graduate track has been designed to offer graduate students the opportunity to acquire and apply the necessary fundamental knowledge of industrial control, electric drives, automatic control, diagnostics, Power Electronics, Artificial intelligence, Modeling and control of electrical machines.
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Formation program for electrical control |
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Module title |
Credits |
Coefficient |
Teaching hours |
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Semester 1 |
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Electric power transmission and distribution networks |
4 |
2 |
45h00 |
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Advanced power electronics |
4 |
2 |
45h00 |
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µ-processors and µ-controllers |
2 |
1 |
22h30 |
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In-depth electrical machinery |
4 |
2 |
45h00 |
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Practical work: – µ-processors and µ-controllers |
4 |
2 |
45h00 |
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Practical work: – Electrical energy transport and distribution networks |
1 |
1 |
15h00 |
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Practical work: – Advanced power electronics |
2 |
1 |
22h30 |
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Practical work: Applied numerical methods and optimization |
2 |
1 |
22h30 |
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Practical work: – in-depth electrical machines |
2 |
1 |
22h30 |
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Technical English and Terminology |
2 |
1 |
22h30 |
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Renewable energies |
2 |
1 |
22h30 |
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Semester 2 |
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Module title |
Credits |
Coefficient |
Teaching hours |
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Modeling and identification of electrical systems |
4 |
2 |
45h0 |
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Electrical control techniques |
6 |
3 |
45h00 |
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Discrete-time control system |
4 |
2 |
67h30 |
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Diagnosis of control system faults |
4 |
2 |
45h00 |
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PW Modeling and identification of electrical systems |
2 |
1 |
45h00 |
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PW Electrical control techniques |
3 |
2 |
22h30 |
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PW Discrete-time control system |
2 |
1 |
37h30 |
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TP Diagnosis of control system faults |
2 |
1 |
22h30 |
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Ethics, deontology and intellectual property |
1 |
1 |
22h30 |
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Implementation of a real-time numerical control |
1 |
1 |
22h30 |
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Electrical power quality |
1 |
1 |
22h30 |
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Semester 3 |
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Module title |
Credits |
Coefficient |
Teaching hours |
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Nonlinear control |
4 |
2 |
45h00 |
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Advanced Commands |
4 |
2 |
45h00 |
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Artificial intelligence techniques |
4 |
2 |
22h30 |
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Electrical control of industrial mechanisms |
6 |
3 |
22h30 |
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TP Nonlinear control |
2 |
1 |
22h30 |
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TP Advanced Commands |
2 |
1 |
45h00 |
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Practical work Artificial intelligence techniques / Practical work Implementation of a real-time numerical control |
2 |
1 |
22h30 |
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TP Electrical control of industrial mechanisms |
2 |
1 |
22h30 |
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API programming lab |
1 |
1 |
22h30 |
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Documentary research and dissertation design |
1 |
1 |
22h30 |
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Maintenance and operational safety |
1 |
1 |
22h30 |
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Special machines |
1 |
1 |
22h30 |
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Semester 4 |
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Module title |
Credits |
Coefficient |
Teaching hours |
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project/End of studies |
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