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Summer Institute for Big Data
The Summer Institute for Big Data will introduce participants to some of the most advanced methods, algorithms, and tools, readily available today for analyzing, mining, and visualizing large data sets. Leading faculty members from the University of Victoria, Dr. Alex Thomo and Dr. George Tzanetakis, will be instructors for the summer institute.
The curriculum will cover:
- SQL (Oracle) Analytic Functions for Database Analytics will be covered at a level accessible to everyone
- Data Mining Algorithms will be taught at a higher level: Decision Trees, Bayesian Classifiers, Support Vector Machines, AdaBoost, K-means, EM, and Hierarchical Clustering, Apriori and FPTree/FPGrowth
- Tools to be covered at a level accessible to everyone: Weka, RapidMiner
- Tools to be covered that require some computer science or engineering backgound: libSVM, Hadoop
Each session will be supported with hands on exercises supported by the instructor and lab assistants allowing participants to practice what is being taught in the class sessions. Basic knowledge of statistics/probability and linear algebra is helpful although not required to follow the material.