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 Fundamentals (edX) EdX
University of Adelaide,AdelaideX

Big Data Fundamentals (edX)

Discover the transformative impact of big data on modern organizations. This course delves into the fundamentals of big data, equipping you with crucial analytical skills such as data mining and understanding complex algorithms like PageRank. Learn how to harness big data for effective decision-making and drive organizational success.

Self Paced
Self-Paced
Big Data Capstone Project (edX) EdX
University of Adelaide,AdelaideX

Big Data Capstone Project (edX)

Dive deeper into the world of big data with our Big Data Capstone Project course. This hands-on experience will allow you to refine your data science skills through a comprehensive, practical project that mirrors real-world challenges in the field. Learn how to evaluate, select, and apply relevant techniques and principles as you tackle a meaningful data science problem.

Self Paced
Self-Paced
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