Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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Theorems and methods of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography that are essential for BMHI +
Policies, ethical, regulatory and social aspects of Big Data processing. +
Teaching and learning systems +
Informatics methods and tools to support education (incl. flexible and distance learning) and e-learning technologies (incl. Internet and World Wide Web). +
Examples of medical teaching and learning systems +
Ethical, legal & socio-technical aspects +
Policy and regulatory frameworks for information handling in health care +
The legal basis for medical documentation, including DSGVO (the European Union's General Data Protection Regulation) and the Cyber Security Act. +
Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet +
The key aspects of health administration, health economics, health quality management and resource management, patient safety initiatives, public health services and outcome measurement. +
Basic concepts and methods of quality and risk management +
Theorems and methods of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography essential for BMHI (Biomedical and Health Informatics) +
Structure and principles of scientific work +
Informatics methods and tools to support education (incl. flexible and distance learning), E-learning technologies, incl. Internet and World Wide Web +
Methods of practical informatics/computer science, especially on programming languages, software engineering, data structures, database management systems, information and system modelling tools, information systems theory and practice, knowledge engineering, (concept) representation and acquisition, software architectures +
Theorems and methods of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography essential for BMHI (Biomedical and Health Informatics) +
Higher-level competences +
Soft skills, communication, project planning, conflict management, team management, project design +
Methodological foundations of computer science: data structuring for documentation, structured data acquisition, information retrieval, data capture +