Учебный план программы обучения "Automation Technology"

Automated electronic systems are increaasingly on the advance in our societal life due to their capacity to boost efficiency and sustainability while doing justice to environmental considerations. Expertise in these cutting-edge tools and technologies requires broad-based knowledge of control, energy and information engineering. Real-time algorithms carrying out measurement and control functions are at the heart of automated solutions. This Master’s degree course provides students with a solid theoretical grounding alongside practical training in the design and implementation of these algorithms using highly sophisticated and powerful tools such as Matlab/Simulink/Stateflow. Students are also able to familiarise themselves with a range of methods for implementation and testing, including efficient simulation, rapid prototyping, hardware-in-the-loop and embedded targets, and gain hands-on experience in lab set-ups and autonomous vehicles, alongside encountering applications in decentralised and renewable energy generation and supply.

In the first year of the degree course, students explore the course’s focal areas, control, energy, and information engineering, in depth via two modules for each area, each with a complementary lab practical.

Information engineering
- Embedded control systems

- Operating systems and real-time programming

Control engineering

- Multi-dimensional control systems

- Nonlinear control systems

Energy engineering

- Decentralised energy supply systems

- Drive technology for mobile systems

The focus of the course’s second semester is the ‘team project’ (Verbundprojekt), in which teams of students synthesise and apply their knowledge in the context of a realistic ‘smart factory’; the challenge is to develop control algorithms and drives for autonomous vehicles. Students additionally choose elective modules closely related to the specific content of this project.

The degree course concludes with the Master thesis, in which students explore a current issue or problem in research and demonstrate their capacity for independent scientific work in the field.

Факультет

Методика оценки заявок

The admission grade is determined as follows:

• a) Final grade of the undergraduate degree in accordance with § 2 Paragraph 1 a) <2.5 Possible improvement of the ranking by:
• b) Letter of motivation, presentation of suitability according to § 2 Paragraph 1 d) aa) by 0.1
• c) If the following subjects have been completed with at least 5 credit points and at least the grade satisfactory in the first professional qualification, the grade from a) improves by 0.1 per subject:
  • I. Control technology
  • II. Drive and power electronics
  • III. Signals and systems (continuous and discrete time)
  • IV. Process automation
  • V. Programming in C and Java
• d) Possible improvement of a final grade worse than 2.5 and / or possible improvement of the ranking position through: Submission of job references by max. 0.3 The final grade of the undergraduate degree improves by the grade points shown if the documents submitted in accordance with § 3 Paragraph 3 lit. b) c) and d) provide evidence of special suitability.

Полезные ссылки по программе обучения "Automation Technology"

• Сайт программы: https://www.haw-hamburg.de/studium/studiengaenge-a-z/studiengaenge-detail/course/courses/show/automatisierung/Studieninteressierte/
• Учебный план / модули: https://www.haw-hamburg.de/fileadmin/Studium/StgInfo/PDF/Studien%C3%BCbersicht/TI/ti_automatisierung_ma_1.pdf<br />https://www.haw-hamburg.de/fileadmin/zentrale_PDF/TI/Pr%C3%BCfungsordnungen/Informations-_und_Elektrotechnik/PSO_MA_AUT_HA_142_05-06-2019.pdf<br />https://www.haw-hamburg.de/fileadmin/zentrale_PDF/TI/Modulhandb%C3%BCcher/Informations-_und_Elektrotechnik/MDH-MA-IuE-A/MDH-MA-IuE-A-2019.pdf