CPSC 3260: Data Transformations

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Course Format Lecture 4.0 h + Seminar 0.0 h + Lab. 2.0 h
Credits 4.0

Course Description

When working with big data, we need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to generate datasets that can be loaded into an appropriate analysis or visualization tool. In a command line environment, students write programs using common libraries and toolkits. They create efficient and effective web APIs and services for transformed data to meet the requirements of given tasks.

Priority registration in this course is offered to students admitted to the Bachelor of Science in Bioinformatics.

Students will receive credit for only one of CPSC 3260 or 4810

Prerequisite(s): A minimum "C" grade in CPSC 2221; and CPSC 1160, 1181, or 1280.

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