Detailed Course Information |
Fall 2025 Semester
Dec 05, 2025 |
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| CS 5130 - Applied Programming and Data Processing for AI |
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Presents an in-depth exploration of programming paradigms, mathematical foundations, and computational techniques essential for scientific computing and data-driven applications. Integrates linear algebra, Python programming principles, algorithmic design, and data science methodologies to offer students an opportunity to develop the technical expertise necessary for handling complex numerical computations and large-scale data processing. Strongly emphasizes Pythonic programming, object-oriented and functional programming, data preprocessing, visualization, and numerical stability, with the aim of developing the skills needed to write clean, efficient, and maintainable code for scientific and engineering applications.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science Restrictions: Must be enrolled in one of the following Programs: MS Artificial Intelligence Must be enrolled in one of the following Levels: Undergraduate Graduate Must be enrolled in one of the following Classifications: Graduate Mutual Exclusion: This course carries a mutual exclusion with the following courses; you may not enroll in it if you have completed any of the following with a passing grade: CS 5010 Corequisites: CS 5131 |
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