The course covers the process of designing innovative artifacts to extend human as well as organizational capabilities, and to solve problems within organizations and industries.

For a sound understanding of both social and technological aspects of various innovative technologies, students will primarily follow the design science research method, build artifacts and evaluate them, around a given theme. Understanding the design science paradigm and its application will enable students to develop knowledge on the management and use of information technology for managerial purposes and effectively communicate this knowledge.

Students will also be introduced to innovation technologies in the context of artificial intelligence and augmented reality that can link and enable different types of innovation technologies across the boundaries of socio-technical systems. Students will adopt this knowledge in practical work on design problems, which will be related to the usage of humanoid robots for man-machine interaction.

 

Theoretical approaches which will be covered in the course: 

• Design theory, systems theory, communication theories,

• Design science research and piloting

• Agile innovation and interactive value creation

 

Application domains for the design projects:

• Recommendation Systems

• Voice & Emotion & Pattern Recognition

• Internet of Things and associated technologies

 

Course Requirements:

The course requires analytical thinking, where students can identify and clearly articulate problems that they would like to solve and the process of solution finding. While existing technical knowledge from students is welcome, it is not a prerequisite for the course. Students can also contribute by conducting theoretical/empirical research, along with developing IT artifacts. To conclude, the course offers a balance between creativity and scientific thinking, which can be of immense help to students seeking to learn either skill or both. 

 

The course will consist of lectures together with practice sessions.

Do, 16:45 -  20:00, LG 5.154.

In some weeks of the semester, students will be given the opportunity to use the lecture time for working on their assignments and/or try out the usage of the robot.

Please register on Studon, password will be announced in class. Kickoff: 25.10.2018 16:45.

Contact Person: 

Semester: 

Location: 

LG 5.154

Course Times: 

Thursday, 16.45 to 20.00

Course Type: 

Lecture

Course language: 

English

Credit points / Contact hours: 

5 ECTS / 4 SWS

Lecturers: 

Audience: 

Course Module: