Comments on a variety of our courses:

...which shed light on our goal, emphases, and expertise...

"The simulation game is a great way of getting some variety into the course, rather than just having lectures. It is also useful to apply concepts learned in class..." 

"Most of the concepts and tools learned in the course seem to be of high practical relevance..."

 "Finally a class where students do not just have to work hard, but actually have to think, discuss, reflect and work together as a team to tackle the problems. Working with CPLEX was difficult but fun..."

 "I enjoyed the course very much, since I like the mathematical focus. Prof. Shen was very knowledgeable in the field and well qualified to teach this course. The course was also well structured. I liked that the assignment exercises do not just make you apply a formula from the slides, but always contain an additional twist that forces you to actually think about the problem..." 

"I very much appreciated the effort and the passion that Mrs. Shen brought to each session. Also the idea, that we work on problems on our own at home and then apply what you have learned in class worked very well and helped me to better understand several concepts..."

"The instructor gave insights into real world problems where the learned methods were applied. Very supportive atmosphere, high Level of education..."

Course Course description
Operations Management This course aims to gain a transdisciplinary and integrated view of supply chain-related decision problems. It focuses on the design and analysis of operations encountered in manufacturing and service industries. Students will explore key elements in Operations Management including plant location, facility layout, inventory, as well as production planning and control. The task is to study and critically assess the corresponding stream of scientific literature.
Operations Research Operations Research was initiated in England during World War II to make scientifically based decisions regarding the utilization of war material. Afterwards, the ideas were adapted to improve efficiency in the civilian sector. This course will familiarize students with the basic methodologies in Operations Research including integer programming, optimization algorithms, and iterative computations. While mathematical modelling is the cornerstone of OR, this course also emphasizes defining and solving practical problems. Students will be presented with a variety of applications through solved examples and fully developed case analyses.
Entrepreneurial Experimentation 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.
Metaheuristics for Optimization Metaheuristics, in their original form, are guided local improvement procedures to perform a robust search of a solution space. New developments in metaheuristic methods are proved to be so remarkably effective, that they have moved into the spotlight in recent years for solving complex combinatorial problems, particularly those encountered in practice. This course is designed to provide doctoral students with a broad coverage of the concepts and instrumentalities of this important and evolving area of optimization. In doing so, we hope to encourage an even wider adoption of metaheuristics for assisting in various research areas.
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