Big data models and algorithms

Upon completion of this course the student will have reliably demonstrated the ability to design, analyze and implement algorithms for massive data sets using state-of-the-art algorithmic techniques in the area.

Furthermore, the student will be able to understand:

i) storage strategies that are suited for large-scale datasets (e.g. distributed, unstructured);

ii) alternative processing models that are relevant to big data;

iii) fundamentals of large-scale data mining.

Finally, the student will acquire basic knowledge of experimental algorithmic techniques and data analysis.