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Course Schedule

Data Science

Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 452-DL : Web and Network Data Science


Description

This course shows how to acquire and analyze information from the web. It provides a comprehensive review of web analytics, including website usage and search performance metrics. The course introduces the mathematics of network science, including random graph, small world, and preferential attachment models. Students use methods of network science with applications to information and social networks. They compute a variety of network metrics as they analyze software systems, website structure, and user interactions through electronic communications and social media. This is a case study and project-based course with a strong programming component.

Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.


Winter 2020
Start/End DatesDay(s)TimeBuildingSection
01/06/20 - 03/15/20Optional Sync Sa
9 – 11:30 a.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Boudourides, Moses
Online
Open
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