The degree programme aims to enable its graduates to

• model concrete problems in electrical engineering,
• apply the acquired concepts and principles of electrical engineering and mathematical methods,
• design, implement, document, and test both software and hardware components,
• analyse and interpret simulated and measured data,
• develop technical solutions that also take into account social, ethical and legal aspects under guidance and defend them argumentatively,
• assume responsibility in a project team
• formulate subject-related positions and solutions to problems and defend them argumentatively,
• exchange information, ideas, problems, and solutions with subject representatives and laypersons.

Graduates have also developed an individual subject-specific competence profile within the framework of selectable modules.

The degree programme aims to ensure that its graduates are able to

• classify the basic concepts and principles of computer science,
• apply foundation courses in mathematics, logic, and computer technology and explain the structure and functioning of computers, networks and system software,
• apply basic algorithms and use data structures and programming paradigms in a targeted manner,
• implement software systems using established analysis, design and testing methods and apply current technologies as a basis for software development,
• specify a computer science problem precisely and model it using appropriate tools,
• develop technical solutions that also take into account social, ethical and legal aspects under guidance and defend them argumentatively,
• construct, implement, document, test, and debug a networked and distributed software system of moderate complexity, alone or in a team, using modern work processes, development tools, programming languages, software components, and algorithms appropriately according to technical and economic considerations,
• to convincingly justify the correctness, security, and appropriateness of a solution they have proposed themselves,
• to take on larger projects on a pro rata basis in a team in order to work on subtasks independently,
• to formulate subject-related positions and solutions to problems and to defend them argumentatively,
• to exchange information, ideas, problems, and solutions with subject representatives and laypersons.

Graduates have also developed an individual subject-specific competence profile within the framework of selectable modules.

The Degree programme aims to enable its graduates to,

• model concrete interdisciplinary problems at the interface of electrical engineering, mechanical engineering and computer science,
• apply the acquired concepts and principles of electrical engineering, mechanical engineering and computer science as well as mathematical methods,
• design, implement, document and test both software and hardware components according to the state of knowledge and specified requirements,
• analyze and interpret simulated and measured data,
• assume responsibility in a project team
• formulate subject-related positions and solutions to problems and defend them argumentatively,
• exchange information, ideas, problems and solutions with representatives of the subject and with laypersons.

Graduates have also developed an individual subject-specific competence profile (for example, electromobility or embedded systems) within the framework of selectable modules.

The degree programme aims to enable its graduates to

• analyse concrete electrotechnical problems, especially in the areas of Automation Engineering and networked systems, and independently develop solution concepts and approaches,
• analyse and model electrotechnical systems and produce a desired system behaviour,
• to compare simulated with measured data and to use the result to optimize the targeted system behaviour,
• independently develop, implement, test and finally document both software and hardware components,
• develop solutions to electrical engineering problems as part of a project team and assume responsibility within the team,
• absorb information and ideas from other project participants and jointly develop solutions.

Graduates have also developed an individual subject-specific competence profile in the field of Automation Engineering or Networked Systems within the framework of selectable modules and a project.

Graduates of the degree programme should be able to

• identify the algorithmic core of concrete problems in the field of computer science in order to design, verify and evaluate algorithms based on this core.
• apply in-depth technical knowledge in the field of machine learning, pattern recognition, artificial intelligence.
• practically use solid knowledge in the field of data mining and big data.
• successfully apply the acquired methods of computer science to solve complex tasks in industry or research facilities, critically question them and also develop them further if necessary.
• quickly familiarize themselves with related subject areas so that they can work together on an interdisciplinary basis.
• professionally create larger program systems
• work scientifically and/or in a leading position in a specific professional field.

Graduates have also developed an individual competence profile in the elective area.

The Degree programme aims to enable its graduates to,

• model complex interdisciplinary problems at the interface of electrical engineering, mechanical engineering and computer science,
• model and analyze mechatronic systems and influence their dynamic behavior,
• design, implement, document and test both software and hardware components on their own responsibility and take into account extracurricular references,
• compare simulated and measured data and use the results to optimize the desired system behavior,
• develop solutions to mechatronic problems as part of a project team and assume responsibility within the team,
• to take in information, ideas, problems and solutions of others and to pass them on jointly.

Graduates have also developed an individual subject-specific competence profile (for example in electromobility or mobile robotics) within the framework of selectable modules.