DTSC 5610 - Analysis of Massive Datasets

3 hours

Discusses data mining and machine learning algorithms for analyzing large-scale datasets. Students gain a deep understanding of core technologies used to store, process, and analyze big data, with an emphasis on MapReduce framework for designing parallel algorithms capable of handling large-scale data analysis. Machine learning models and their applications are revisited in the context of large-scale analysis, with a particular focus on designing efficient solutions for real-world big data challenges. Students learn theory and practical skills on how to efficiently and effectively mine massive datasets through hands-on labs and projects, along with lectures and readings. Highlights the application of large-scale data analysis techniques across a variety of real-world domains.