Emerging Technologies and Artificial Intelligence

Duration1 semester
State of the moduleCompulsory module
ECTS5
Hours of compulsory in credit hours4
Learning outcome/ competencies

The students can

-          identify the characteristics of emerging technologies,

-          explain the life cycle phases of such technologies in detail,

-          name success factors and risks and explain their effects, and

-          explain and evaluate various valuation approaches of leading consulting firms.

Students are able to explain the close link between technical solutions and the resulting economic mechanisms. They can name solutions for justifiable requirements to be fulfilled as well as measures for the introduction and operation of e.g. cloud-based data analysis.

Students are able to give an overview of the most important trends and emerging technologies of the next five years or so, citing the above-mentioned details for each technology.

Current approaches to artificial intelligence are discussed as an example of emerging technologies. Students are able to name and explain basic methods of knowledge representation, learning and decision-making.

AI techniques are used with the help of current implementation methods, including cloud solutions, to implement solutions for real-world problems.

After completing this module, students will have a sound knowledge of modern technologies and their applications.
Necessary requirementsNone
Recommended requirements
  • MPMD 1.2 Foundations of Data Analytics and Statistical Programming
Method of examination
(applicable are §§ 9-14 RStPO)   
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