Business
activities take place in a global economy where diverse cultures and economic
systems continuously meet and collide. To manage these transactions
effectively, develop sustainable cross-cultural relationships and promote a
sustainable global economy it is important to learn how to make effective
decisions within organisational systems. This course introduces the student to
essential decision-making strategies and skills. Students also learn how to
apply AI decision support systems such as ChatGPT. The course applies
evidence-based teaching methodology and active learning strategies to engage
students in the learning process. It culminates in a final group project of “AI
in Group Decision Making” involving the application of strategies and skills
learned during the module.
Content:
Understand and apply strategies and skills of group
decision making,
Understand the foundations of AI Systems,
Define the steps of Human-AI Interactions, including
strengths, weaknesses and pitfalls
Analyse and evaluate the Human-AI collaboration within
negotiation and decision making processes
Expected
Assessment:
Active participation is class and team discussions
Evaluation of project work and case analyses through
class presentation and discussion
Final presentation and reflection of a group project
Literature/Reading
Assignments:
Russell, S.J. and Norvig, P. eds., 1995. Prentice Hall
series in artificial intelligence. Englewood Cliffs, NJ:: Prentice Hall.
Reinhart, J., & Greiner, C. (2019). Künstliche
Intelligenz–eine Einführung. Grundlagen, Anwendungsbeispiele und
Umsetzungsstrategien für Unternehmen.
Cases and other readings used for class discussion and
analysis will be made available online
Learning
Objective:
Business
activities take place in a global economy where diverse cultures and economic
systems continuously meet and collide. To manage these transactions
effectively, develop sustainable cross-cultural relationships and promote a
sustainable global economy it is important to learn how to make effective
decisions within organisational systems. This course introduces the student to
essential decision-making strategies and skills. Students also learn how to
apply AI decision support systems such as ChatGPT. The course applies
evidence-based teaching methodology and active learning strategies to engage
students in the learning process. It culminates in a final group project of “AI
in Group Decision Making” involving the application of strategies and skills
learned during the module.
Content:
Understand and apply strategies and skills of group
decision making,
Understand the foundations of AI Systems,
Define the steps of Human-AI Interactions, including
strengths, weaknesses and pitfalls
Analyse and evaluate the Human-AI collaboration within
negotiation and decision making processes
Expected
Assessment:
Active participation is class and team discussions
Evaluation of project work and case analyses through
class presentation and discussion
Final presentation and reflection of a group project
Literature/Reading
Assignments:
Russell, S.J. and Norvig, P. eds., 1995. Prentice Hall
series in artificial intelligence. Englewood Cliffs, NJ:: Prentice Hall.
Reinhart, J., & Greiner, C. (2019). Künstliche
Intelligenz–eine Einführung. Grundlagen, Anwendungsbeispiele und
Umsetzungsstrategien für Unternehmen.
Cases and other readings used for class discussion and
analysis will be made available online