Digital Transformation & Artificial Intelligence 2: Markets & Companies
Niveau
1st study cycle, Bachelor
Learning outcomes of the courses/module
The participants:
• can explain and critically reflect on the basic concepts, methods, and fields of application of AI.
• can assess the opportunities and risks of AI for companies and society.
• can apply and adapt classic business models and theories to AI-related questions.
• can classify and evaluate AI tools and frameworks in the context of digitalization and business practice.
• analyze concrete AI applications and projects in companies and develop proposed solutions.
• are able to work independently and in teams on practical problems using AI methods and to communicate the results appropriately for the target audience.
• can explain and critically reflect on the basic concepts, methods, and fields of application of AI.
• can assess the opportunities and risks of AI for companies and society.
• can apply and adapt classic business models and theories to AI-related questions.
• can classify and evaluate AI tools and frameworks in the context of digitalization and business practice.
• analyze concrete AI applications and projects in companies and develop proposed solutions.
• are able to work independently and in teams on practical problems using AI methods and to communicate the results appropriately for the target audience.
Prerequisites for the course
None
Course content
• Distinctive features, rules, and fundamentals of science and scholarly work
• Epistemological and methodological principles of scientific research
• Overview of the research methods of observation, survey, content analysis, and experiment
• Using word-processing programs to write formally correct academic papers
• Overview of databases and other ways to find literature sources
• Working through and critically discussing articles from scientific journals
• Epistemological and methodological principles of scientific research
• Overview of the research methods of observation, survey, content analysis, and experiment
• Using word-processing programs to write formally correct academic papers
• Overview of databases and other ways to find literature sources
• Working through and critically discussing articles from scientific journals
Recommended specialist literature
• Ebster, Claus; Stalzer, Lieselotte.: Wissenschaftliches Arbeiten für Wirtschafts- und Sozialwissenschaftler. UTB (in der aktuellen Auflage)
• Nicol, Natascha; Albrecht, Rolf: Wissenschaftliches Arbeiten mit Word. Addison Wesley (in der aktuellen Auflage)
• 1-2 aktuelle Aufsätze aus Fachzeitschriften
• Nicol, Natascha; Albrecht, Rolf: Wissenschaftliches Arbeiten mit Word. Addison Wesley (in der aktuellen Auflage)
• 1-2 aktuelle Aufsätze aus Fachzeitschriften
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Blended learning
Semester/trimester in which the course/module is offered
2