
Graduate
Curriculum structure for Informatics and management in technical systems
Year | Code | Course Title | ECTS |
---|---|---|---|
SEMESTER 1.1 - Autumn | |||
1 | MPA 101 | Machine Learning | 6 |
1 | MPA 103 | Advanced Process Automation Systems Design | 6 |
1 | MPA 105 | Advanced Optimal Control | 8 |
1 | MPA 107 | Communication Networks | 5 |
1 | MPA 109 | Methodology of Scientific research | 5 |
SEMESTER 1.2 - Spring | |||
1 | PDG 102 | Higher Education Pedagogy | 4 |
1 | MPA 102 | Neural Networks & Deep Learning | 8 |
1 | MPA 104 | Robust Control | 6 |
1 | MPA 106 | Machine Vision | 6 |
1 | MPA xxx | Elective 1 | 6 |
SEMESTER 2.1 - Autumn | |||
2 | PSY 201 | Psychology | 2 |
2 | MPA 201 | Mechatronics Systems | 5 |
2 | MPA 203 | Embedded Systems | 5 |
2 | MPA 205 | Robotics | 5 |
2 | MPA 207 | Industrial Project | 4 |
2 | MPA xxx | Elective 2 | 6 |
2 | MPA 209 | Industrial Internship (2 weeks) | 3 |
SEMESTER 2.2 - Spring | |||
2 | MPA 202 | Scientific and Pedagogical Internship | 12 |
2 | MPA 204 | Master Thesis | 18 |
AE – Area Elective
Year | Code | Course Title | ECTS |
---|---|---|---|
2th Term Elective Courses (Block 1) | |||
1 | MPA 108 | Advanced Signal Processing | 6 |
2 | MPA 110 | Renewable Energy | 6 |
3 | MPA 112 | Energy Management | 6 |
4 | MPA 114 | Energy and Control | 6 |
3th Term Elective Courses (Block 2) | |||
1 | MPA 211 | Management of Automation projects | 6 |
2 | MPA 213 | Automatic Control and Environmental management Systems | 6 |
3 | MPA 215 | Array Signal Processing | 6 |
4 | MPA 217 | Big Data | 6 |
1. Grading Scale
The maximum grade is 100 points (A)
The minimum passing grade is 61 points (D)
Grade points, % |
Equivalent letter grades |
Meaning |
91-100 |
A |
Excellent |
81-90 |
B |
Very good |
71-80 |
C |
Good |
61-70 |
D |
Satisfactory |
≤ 60 |
F |
Failure |