Elements of Computational Intelligence

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

- 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

- Discussion

- Exercises (simulation game)

- Seminar papers

- Presentations

- Presentation / Seminar papers