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Data Science

Course Descriptions and Schedule

MSDS 400-DL : Math for Data Scientists


Description

Students learn techniques for building and interpreting mathematical models of real-world phenomena in and across multiple disciplines, including linear algebra, discrete mathematics, probability, and calculus, with an emphasis on applications in data science and data engineering. This is for students who want a firm understanding or review of these fields of mathematics prior to enrolling in courses that assume understanding of mathematical concepts. 

Prerequisites: None


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync M
7 – 9:30 p.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Dugan, Carrie
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync Th
7 – 9:30 p.m. 56
InstructorCourse FormatStatusCAESAR Course ID
Arroyo, Edward
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync M
7 – 9:30 p.m. 57
InstructorCourse FormatStatusCAESAR Course ID
Goldfeder, Phillip
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync Tu
7 – 9:30 p.m. 58
InstructorCourse FormatStatusCAESAR Course ID
Goldfeder, Phillip
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync W
7 – 9:30 p.m. 59
InstructorCourse FormatStatusCAESAR Course ID
Goldfeder, Phillip
Online
Open
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