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Oct 05, 2024
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DATS 7760 - Data and Visual Analytics (3 Credit Hours) 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 emphasizes how to utilize software to exploit the synergies between computation and visualization. Students work in small groups to complete a team project, which requires a poster presentation and final technical report.
Prerequisite(s): DATS 7510 >= C
Lecture Hours: 3
Repeat Status: NR - Not Repeatable
Grade Mode: Normal, Audit
Degree Restrictions: MS Program Restrictions: DPHIL_BIOS, MS_BIOS, MS_DSCI
Schedule Type: Lecture, Asynchronous Instruction
Click here for the Schedule of Classes.
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