Tools and Models for Data Science

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( MATH 211 or MATH 212 or MATH 221 or MATH 222 or MATH 232 ) and COMP 215 (may be taken concurrently) Description: This course is an introduction to modern data science. Data science is the study of how to extract actionable, non-trivial knowledge from data. The proposed course will focus both on the software tools used by practitioners of modern data science, as well as the mathematical and statistical models that are employed in conjunction with such software tools. On the tools side, we will cover the basics of relational database systems, as well as modern systems for distributed computing based on MapReduce. On the models side, the course will cover standard supervised and unsupervised models for data analysis and pattern discovery. Can be taken concurrently with COMP 215 . Graduate/Undergraduate Equivalency: COMP 543 . Mutually Exclusive: Cannot register for COMP 330 if student has credit for COMP 543 / DSCI 302→COMP 330→unlocks 11 courses

11 mapped courses list COMP 330 as a prerequisite. See on the map →

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