Detailed Course Information

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CS 496 - Data Science Capstone
This is a capstone course for data science majors. This course aims to enhance students’ competencies by applying data scientific methodologies to the challenges imposed by real data and skills to effectively communicate project requirements and findings. This course also covers ethical issues and responsible practices in data science. *Prerequisite: STAT 300, STAT 301, STAT 354, CS 280, and one of CS 412 or CS 465.* 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

CS 496 - Data Science Capstone

This is a capstone course for data science majors. This course aims to enhance students’ competencies by applying data scientific methodologies to the challenges imposed by real data and skills to effectively communicate project requirements and findings. This course also covers ethical issues and responsible practices in data science. ***Prerequisite: STAT 300, STAT 301, STAT 354, CS 280, and one of CS 412 or CS 465.***
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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