Big data models and algorithms
- Code: DT0317
- Unit Coordinator: Mattia D'Emidio
- Programme: Erasmus Mundus, Double Degrees
- ECTS Credits: 3
- Semester: 2
- Year: 1
- Campus: University of L'Aquila
- Language: English
- Aims:
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.
- Content:
Large-Scale Data Mining Models, Algorithms, Storage Techniques for Massive Datasets
- Pre-requisites:
Basic courses on design and analysis of algorithms and data structures. Mathematical and programming maturity. Fundamentals of data analysis.
- Reading list:
J. Leskovec, A. Rajaraman, J. D. Ullman. Mining of Massive Datasets. 2nd Edition.
