IT 5135 – Data Analytics
Previously IT 4135 Information Organization and Retrieval
This course covers the basic issues involved in building and populating a data mart to support the planning, designing and building of business intelligence applications and data analytics. Core concepts related to business intelligence and analytics are covered. For graduate students a significant research project will be assigned as a culminating experience.
A minimum grade of “C” in IT 3131, MATH 2130, and BUSA 3131 or STAT 2231 or permission of instructor.
On completion of the course, students will be able to:
- Understand the information retrieval (IR) “problem”.
- Understand the functions of an IR system.
- Analyze the components of an IR system.
- Evaluate and discuss measures to improve the performance of an IR system.
- Examine current issues in IR, including how to represent, organize and retrieve multimedia information.
- Demonstrate the ability to search the web, libraries/ bibliographical systems and/or digital libraries for specified information.
- Demonstrate an understanding of the common IR models.
- Use IR models to represent documents and queries.
- Use IR models to match user queries to a set of documents.
- Be able to critique various user interface designs in IR systems.
Rationale for Inclusion
Advanced course work that builds on the fundamental course work to provide depth.
Last updated: 8/5/2015