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 compute a variety of network metrics as they analyze software systems, website structure, connections in information and social networks, and user interactions through electronic communications and social media. They employ network/graph algorithms within a graph database system. 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.


Summer 2021
Start/End DatesDay(s)TimeBuildingSection
06/22/21 - 08/30/21Optional Sync Sa
9 – 11:30 a.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Boudourides, Moses
Online
Open
^ Back to top ^