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Capstone Module Abroad MiE

Course code
MGMT701
Course type
MSc Course
Weekly Hours
2,0
ECTS
2.0
Term
FS 2021
Language
Englisch
Lecturers
Prof. Dr. Christoph Hienerth
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.

Course Dates: 3 - 7 May 2021

The goal and related content of this course is to provide basic knowledge and literacy in the area of robotics, related coding and AI.

In order to address and achieve these goals, the course features distinct components:

  1. Lectures and introduction to robotics and AI.
  2. The ethics and effects on labor and workforce related to robotics and AI.
  3. Guest speakers in the fields of robotics, coding, and related AI applications of robots, such as in stock logistics.
  4. Assembly and use of a DJI EP Core robot and a competition between student teams participating in the course on the final day.

Duration & Schedule – Overview of Classes and Guest Speakers:

Monday, May 3rd

Morning Class 1 Introduction and welcome. Basic parts and functioning of robots and AI.

Morning Class 2 Guest speaker on Robotics

Afternoon Class 1 Assembly of EP Core Robots

Afternoon Class 2 Assembly of EP Core Robots

Tuesday, May 4th

Morning Class 1 The effects of robots and AI on society and business (including ethics and effects on workforce as well as social effects, addressing potential opportunities as well as challenges).

Status of robots and AI in different industries and across different countries.

Morning Class 2 Guest speaker on logistics with robots

Afternoon Class 1 Teams get accustomed to basic operations with the robot.

Skill building in operating the robot with remote.

Afternoon Class 2 Teams get accustomed to basic operations with the robot.

Skill building in operating the robot with remote.

Wednesday, May 5th

Morning Class 1 Class on operating the robot via Scratch and Python.

Morning Class 2 Guest speaker on programming with Python and use cases for startups.

Afternoon Class 1 Teams apply class content with their robots.

Testing & skill building

Afternoon Class 2 Teams apply class content with their robots.

Testing & skill building

Thursday, May 6th

Morning Class 1 Intro to competition day. Discussing options, rules and outcomes.

Morning Class 2 Teams experiment and find potential competitions for competition day (Friday).

Afternoon Class 1 Teams experiment and find potential competitions for competition day (Friday).

Afternoon Class 2 Teams present their results and competitions are selected.

Friday, May 7th

Morning Class 1 Competition

Morning Class 2 Competition

Afternoon Class 1 Decomposing the robots.

Afternoon Class 2 Adjourn and barbecue. Final words and summary of the course.

Assignments & Grading:

To pass this course, students have to:

  • Jointly build their teams’ robots
  • Attend all classes and exercises
  • Contribute to all teamwork related tasks
  • Contribute to the preparation of the competition
  • Contribute to the selection of competitions
  • Take part in the competition and
  • Deconstruct the robot at the end of the course
Literature:Müller, V. C. (2020). Ethics of artificial intelligence and robotics.Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.Estolatan, E., Geuna, A., Guerzoni, M., & Nuccio, M. (2018). Mapping the evolution of the robotics industry: A cross country comparison. Munk School of Global Affairs, University of Toronto.Raj, M., & Seamans, R. (2019). Primer on artificial intelligence and robotics. Journal of Organization Design, 8(1), 1-14.Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2020). Service robot implementation: a theoretical framework and research agenda.The Service Industries Journal,40(3-4), 203-225.Webster, C., & Ivanov, S. (2020). Robotics, artificial intelligence, and the evolving nature of work. In George, B., & Paul, J. (Eds.). Digital Transformation in Business and Society Theory and Cases, Palgrave-MacMillan, pp. 127-143.DJI readings:An EP Core syllabus from DJI and several related documents (various descriptions of operation modes of the robot as well as coding) will be uploaded on the Moodle webpage.
Learning Outcomes:
  • Knowing and understanding the major components and functioning of robots.
  • Knowledge regarding the ethics and work effects caused by robots and AI.
  • Capability to build and deconstruct educational robots.
  • Knowledge and ability to apply basic coding for movements and activities of educational robots.
  • Expertise about the use and applications of robots, including knowledge on AI tasks that robots can perform.
  • Knowledge about the role of robots for startups related to their challenges in logistics and supply.
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