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Sep 08, 2024
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DATS 7760 - Data & Visual Analytics (3 Credit Hours)
This course introduces students to high performance computing and statistical techniques used for visualizing high-dimensional and complex data. The course emphasizes how high performance parallel computing with CPUs and GPUs can be used for data analytics tasks such as data cleaning and mining, dimension reduction and regularization, clustering, graph algorithms, decision trees, random forests, hierarchical models, and fitting other statistical and mathematical structures to both effectively visualize and analyze data. The course will emphasize how to utilize software to exploit the synergies between computation and visualization. Students will work in small groups to complete a team project, which requires a poster presentation and final technical report.
Lecture Hours: 3
Grade Mode: Normal, Audit
Prerequisites: STAT7510 >= C
Repeat Status: No
Degree Restrictions: Master of Science
Schedule Type: Lecture, Asynchronous Instruction
Click here for the Schedule of Classes.
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