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Tutorial Details: Big Data Science (Eagle Summer Camp)

Date: June 24, 12:00 AM - June 28, 04:00 PM,
Location: 575 Walter and webcast using UMConnect

This class focuses on how to use computers to make discoveries from large amount of scientific data, in particular high-throughput biological data. The topics include 1) the computational methods for analyzing the scientific data such as decision trees, k-nearest neighbors, neural networks, SVMs, k-means, hierarchical clustering and etc; 2) analysis and visualization of large scale networks such as protein-protein interaction networks, disease networks and social networks. There were in-class exercises and mini group projects for hands-on experiences with tools for data analysis. A tour to visit the supercomputer room and the visualization lab was also organized.

Level: Introductory
Prerequisites: None