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| DS 3500 - Advanced Programming with Data |
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Presents a deep dive into the design and implementation of enterprise-grade software systems with an emphasis on software architectures for more complex data-driven applications. Covers extensible architectures that support testing, data provenance, reuse, maintainability, scalability, and robustness. Uses software APIs and libraries for wide-scale adoption and ease of use. Offers students an opportunity to design, implement, and test complex, data-centric pipelines using large, real-world datasets. Explores the features, capabilities, and underlying design of popular data analysis and visualization frameworks.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Data Science Department Course Attributes: Computer&Info Sci Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level CS 2100 Minimum Grade of D- or Undergraduate level DS 2500 Minimum Grade of D- |
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