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2021 Fall
May 14, 2024
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CIS 2033 - Computational Probability and Statistics

This course is typically offered in Spring.

The goal is to introduce students to modern and extremely useful topics in computational statistics. It focuses on computational aspects and provides a hands-on introduction to fundamental concepts of data analysis. The course offers a foundation for further courses in data mining, machine learning, artificial intelligence, robotics, computer vision, and in general in computational statistics and scientific computing.

For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Credit Hours: 3.000

Levels: Graduate, NonDegree Continuing Undergrad, Undergraduate
Schedule Types: Base Lecture

Division: Undergraduate
Department: CST:Computer & Info Sci


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