Frank Neumann

Frank is a professor in the School of Computer Science and in his work he considers algorithmic approaches in particular for combined and multi-objective optimising problems. He focuses on theoretical aspects of evolutionary computation as well as high impact applications in the areas of renewable energy, logistics and sport.

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Big Data Capstone Project (edX)

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project. This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to [...]

Big Data Fundamentals (edX)

Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms. Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data [...]