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Automation Technology 2021, Vasa: Planering 2021

Code: HYH21-V-AT

Degree:
Master of Engineering

Degree title:
Master of Engineering

Credits:
60 ects

Duration:
2 years (60 cr)

Start semester:
Autumn 2021

Teaching language:
English

Descriptions

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.

Objective

The student gains knowledge of how to model, control and simulate common industrial processes. The student can identify opportunities for industrial decision-making and learn how to implement intelligent solutions. The student learns how to apply machine learning methods to solve industrial problems by using classification, regression, detection, and optimization. The student understands the importance of thorough testing and evaluation of models and of high-quality data to succeed with the data-driven decision-making process. The student develops an understanding of the ethical, sustainability and security challenges of modern industrial automation systems.

Select timing, structure or classification view

Show study timings by semester, study year or period

Code Name Credits (cr) 2021-2022 2022-2023 Autumn 2021 Spring 2022 Autumn 2022 Spring 2023 1. / 2021 2. / 2021 3. / 2022 4. / 2022 5. / 2022 1. / 2022 2. / 2022 3. / 2023 4. / 2023 5. / 2023
HYH21-V-AT-ADPRO-1002
ADVANCED PROFESSIONAL STUDIES

(Choose all)

30 30 15 15 7.5 7.5 5 5 5
TKV21AT-01 Research methods and scientific writing 5 5 5 2.5 2.5
TKV21AT-02 Dynamic systems - modeling, simulation and control 5 5 5 2.5 2.5
TKV21AT-03 Machine learning methods in automation 5 5 5 2.5 2.5
TKV21AT-04 Development of modern automation systems 5 5 5 1.7 1.7 1.7
TKV21AT-05 Intelligent systems 5 5 5 1.7 1.7 1.7
TKV21AT-06 Project course in automation 5 5 5 1.7 1.7 1.7
HYH21-V-AT-HYH17-AT-1002
MASTERS DEGREE THESIS

(Choose all)

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
Total 60 30 30 15 15 15 15 7.5 7.5 5.1 5.1 5.1 7.5 7.5 5 5 5

Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.

Masters degree

In accordance with F1129/2014 A Master's Degree contains the following studies: 1) Advanced Professional Studies, 2) Elective Studies, 3) Degree Thesis.

Advanced Professional Studies
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
Elective Studies

No attached course units

Masters Thesis
Master's Thesis
Not grouped

Code Name Credits (cr)
HYH21-V-AT-ADPRO-1002
ADVANCED PROFESSIONAL STUDIES

(Choose all)

30
TKV21AT-01 Research methods and scientific writing 5
TKV21AT-02 Dynamic systems - modeling, simulation and control 5
TKV21AT-03 Machine learning methods in automation 5
TKV21AT-04 Development of modern automation systems 5
TKV21AT-05 Intelligent systems 5
TKV21AT-06 Project course in automation 5
HYH21-V-AT-HYH17-AT-1002
MASTERS DEGREE THESIS

(Choose all)

30
AT22MT07 Master's Thesis 30