Course Description
Provides students with knowledge of emerging technical issues related to data science, along with experience of diverse methods and technologies related to all aspects of data science, from data collection to optimization.
Athena Title
Adv Data Mgmt and Analytics
Equivalent Courses
Not open to students with credit in MIST 6380
Non-Traditional Format
This course will be taught 95% or more online.
Prerequisite
MIST 7600 or MIST 4610 or MIST 4610E
Grading System
A - F (Traditional)
Course Objectives
The goal of this course is for students to be able to apply a range of methods and technologies related to all aspects of data science from collection to optimization.
Topical Outline
Potential topics: • Data collection • Warehousing • Pre-processing and querying • Mining, cluster analysis, association analytics • MapReduce, Hadoop • Out-of-core, online, sampling-based, and approximate learning algorithms • Model evaluation and applications • Data streaming • Simulation • Optimization