Automation Technology 2022, Vasa: Planering 2022
Kod: HYH22-V-AT
Beskrivning
The Master’s degree programme (part-time studies, 2 years) in Automation Technology - intelligent systems is designed for the professional engineer who wants to deepen his/her knowledge and understanding of the methods and possibilities of modern automation and control systems. The students will study automation and control both on a theoretical level and on a practical level – learning to design, test and implement intelligent control, supervisory and automation systems. A special emphasis is put on using modern methods of machine learning and decision making in the development of sustainable applications in control and automation.
The programme consists of degree specific professional studies (30 ECTS) and a Master’s thesis (30 ECTS). The studies are designed for students who are already working. During these two years, the studies are scheduled for two days a month from September to May at Campus Vaasa.
Sustainable development is the foundation of our future. Therefore, issues related to sustainability are included in many of our courses, sometimes as central content, sometimes as a setting. From UN's 17 goals for sustainable development, number 7 (Affordable and clean energy), 9 (Industry, innovation and infrastructure), 11 (Sustainable cities and communities) and 12 (Responsible consumption and production) are paid attention to in the education.
Lärandemål
Den studerande får kunskap om hur man modellerar, styr och simulerar vanliga industriella processer. Studenten kan identifiera möjligheter för industriellt beslutsfattande och lära sig att implementera intelligenta lösningar. Studenten kommer att lära sig hur man tillämpar maskininlärningsmetoder för att lösa industriella problem genom att använda klassificering, regression, detektering och optimering. Studenten förstår vikten av noggrann testning och utvärdering av modeller och av högkvalitativ data för att lyckas i den datadrivna beslutsprocessen. Studenten utvecklar också en förståelse för de etiska, hållbarhets- och säkerhetsutmaningar som följer med modern industriell automation.
Välj mellan tajmning, struktur eller strukturerande vyn
Visa tajmningar för studier efter läsår, termin eller period
| Kod | Kursnamn | Poäng (sp) | 2022-2023 | 2023-2024 | Höst 2022 | Vår 2023 | Höst 2023 | Vår 2024 | 1. / 2022 | 2. / 2022 | 3. / 2023 | 4. / 2023 | 5. / 2023 | 1. / 2023 | 2. / 2023 | 3. / 2024 | 4. / 2024 | 5. / 2024 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HYH22-V-AT-ADPRO-1003 |
ADVANCED PROFESSIONAL STUDIES
(Välj alla) |
30 | 30 | 15 | 15 | 7.5 | 7.5 | 5 | 5 | 5 | ||||||||
| AT22IS01 | Research methods and scientific writing | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
| AT22IS02 | Dynamic systems – modeling, simulation and control | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
| AT22IS03 | Machine learning methods in automation | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||||||
| AT22IS04 | Development of modern automation systems | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||
| AT22IS05 | Intelligent systems | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||
| AT22IS06 | Project course in automation | 5 | 5 | 5 | 1.7 | 1.7 | 1.7 | |||||||||||
| HYH22-V-AT-HYH17-AT-1003 |
MASTERS DEGREE THESIS
(Välj alla) |
30 | 30 | 15 | 15 | 7.5 | 7.5 | 5 | 5 | 5 | ||||||||
| AT22MT07 | Master's Thesis | 30 | 30 | 15 | 15 | 7.5 | 7.5 | 5 | 5 | 5 | ||||||||
| Totalt | 60 | 30 | 30 | 15 | 15 | 15 | 15 | 7.5 | 7.5 | 5.1 | 5.1 | 5.1 | 7.5 | 7.5 | 5 | 5 | 5 |
Antalet studiepoäng kan variera från läsår till läsår och termin till termin beroende på hur valfria och alternativa studier har tajmats.
Inga associerade kurser |
Inga associerade kurser |
Inga associerade kurser |
| Oklassificerade |
| Research methods and scientific writing |
| Dynamic systems – modeling, simulation and control |
| Machine learning methods in automation |
| Development of modern automation systems |
| Intelligent systems |
| Project course in automation |
| Master's Thesis |
| Kod | Kursnamn | Poäng (sp) |
|---|---|---|
| HYH22-V-AT-ADPRO-1003 |
ADVANCED PROFESSIONAL STUDIES
(Välj alla) |
30 |
| AT22IS01 | Research methods and scientific writing | 5 |
| AT22IS02 | Dynamic systems – modeling, simulation and control | 5 |
| AT22IS03 | Machine learning methods in automation | 5 |
| AT22IS04 | Development of modern automation systems | 5 |
| AT22IS05 | Intelligent systems | 5 |
| AT22IS06 | Project course in automation | 5 |
| HYH22-V-AT-HYH17-AT-1003 |
MASTERS DEGREE THESIS
(Välj alla) |
30 |
| AT22MT07 | Master's Thesis | 30 |