WHU | Logo

Entrepreneurial Experimentation with Computational Intelligence

Course code
EAI610
Course type
MSc Course
Weekly Hours
2,5
ECTS
5
Term
FS 2019
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.
Industry 4.0
Enabling technologies: IoT, Cloud computing
State-of-the-art algorithms
Applications:
- Distribution logistics
- Complex resource planning and scheduling
- Facility location and layout planning
Date Time
Thursday, 07.03.2019 15:30 - 17:00
Tuesday, 12.03.2019 08:00 - 11:15
Monday, 18.03.2019 08:00 - 11:15
Friday, 22.03.2019 08:00 - 11:15
Friday, 29.03.2019 08:00 - 11:15
Monday, 08.04.2019 11:30 - 15:15
Friday, 12.04.2019 08:00 - 11:15
Wednesday, 17.04.2019 15:30 - 18:45
- 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.-Glover, F. W., and G. A. Kochenberger, eds. Handbook of Metaheuristics,Vol. 57, Springer Science & Business Media, 2006.
- Lectures

- Discussion

- Exercises (simulation game)

- Seminar papers

- Presentations

- Written work

- Presentation / Seminar papers

WHU | Logo