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Entrepreneurial Experimentation with Computational Intelligence

Course code
EAI610
Course type
MSc Course
Weekly Hours
2,5
ECTS
5
Term
FS 2021
Language
Englisch
Lecturers
Prof. Dr. Liji Shen
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.

In an era of massive IT advances, computational intelligence is swiftly becoming an integral part of modern businesses. This course first builds a firm quantitative basis in business functional areas including procurement, production, and distribution. Students will master necessary technical skills to successfully apply advanced modelling methods. More importantly, this course will provide students with profound knowledge on core enabling technologies in the context of Internet of Things and cloud background.

A significant portion of the course will be entirely dedicated to computer simulations, smart computing applications, as well as virtual enterprise experimentation. Accompanied by a simulation game, students will be able to manage their own manufacturing factories together with procurement and distribution operations. It helps to apply and extend the various approaches discussed in the course, as well as to understand their limitations.

Tutorial as well as adequate exercises will be provided when learning and discussing AI modelling optimization software.

Main content

1. Optimization with analytic and modelling software

2. Approximation with computational intelligence

3. Biology-inspired smart approaches

4. Applications in supply chain and manufacturing

Date Time
Thursday, 11.03.2021 13:45 - 15:15
Friday, 19.03.2021 11:30 - 15:15
Tuesday, 23.03.2021 11:30 - 15:15
Friday, 26.03.2021 08:00 - 11:15
Friday, 09.04.2021 11:30 - 15:15
Tuesday, 13.04.2021 11:30 - 15:15
Wednesday, 14.04.2021 11:30 - 15:15
Friday, 23.04.2021 11:30 - 15:15
- Students will be capable of developing promising novel business ideas and business models

- Students will apply expert knowledge on different dimensions of business

- Students will make business decisions based on their expert knowledge

- Students will be capable to develop and implement novel business opportunities that support the sustainability of society including its members, environment, and resources

- Students will understand, summarize, and quote scholarly peer-reviewed publications, grasp the key points of an article and apply the major concepts

- Pinedo, M. L.: Scheduling: Theory, Algorithms, and System, 5th edition,Springer International Publishing, 2016.- Gaither, N., and G. Frazier:Operations Management, 9th edition,South-Western/Thomson Learning, 2005.- Williams, H. P.: Model building inmathematicalprogramming,John Wiley & Sons, 2013.- Glover, F. W., and G. A. Kochenberger, eds. Handbook of Metaheuristics, Springer Science & Business Media, 2006.
- Lectures

- Discussion

- Exercises (simulation game)

- Seminar papers

- Presentations

- Written work

- Presentation / Seminar papers

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