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DSCI 400

DATA SCIENCE AND MACHINE LEARNING SELF-GUIDED CAPSTONE LABORATORY

Credit Hours: 3 · Undergraduate Upper-Level

In this project-based course, student teams will choose, define, and execute semester-long data-science and machine-learning research projects. These projects may be selected from a variety of disciplines and industries, where freedom is given in defining the projects. The course is about learning best practices in data science and machine learning while finding a suitable curiosity-driven project to build these methods and systems around.

Prerequisites & course information

Short Title: DATA SCIENCE CAPSTONE LAB Department: Data Science Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ( DSCI 301 or STAT 315 or STAT 310 or STAT 311 or ECON 307 or ELEC 303 or BIOE 439 or SOCI 382 or PSYC 339 ) and ( DSCI 302 or COMP 330 or COMP 430 ) and ( DSCI 303 or ELEC 478 or STAT 413 or COMP 540 )

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