Data Science & Optimization
Data science, the generation of knowledge from data, is gaining importance in an increasingly digitalized world. The methods used are numerous and range from the analysis of big data to state-of-the-art data mining and machine learning methods. This goes along with the increasing application of discrete and quantitative methods of applied mathematics and informatics. This includes the development and application of optimization models and methods for decision support. Applications at the Campus Straubing are among others the analysis of complex biological questions by using modern bioinformatics, the optimization of chemical processes, the analysis of complex networks, and the optimization of supply chains.