Senior research, thesis option; by arrangement with a member of the department and the Honors Office.

Integrate practical experience with course of study. Faculty sponsor required. Contact department for details.

Integrate practical experience with course of study. Faculty sponsor required. Contact department for details.

Description not available at this time

Description not available at this time

This course covers topics in managerial data mining, texting mining, and web mining, and related data retrieval and manipulation. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially focused course, students will learn when and how to use such techniques and how to interpret output. Students will also be introduced to languages such as R and Python to extract and manipulate data.

This course covers topics in managerial data mining, texting mining, and web mining, and related data retrieval and manipulation. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially focused course, students will learn when and how to use such techniques and how to interpret output. Students will also be introduced to languages such as R and Python to extract and manipulate data.

This course exposes students to how core business concepts are implemented in real-world organizational settings. Key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). The class meets in a computer lab and enables hands-on experience, with instructor guidance, to the ERP solution from SAP, the world's largest business software company. Using the system's core modules and data warehouse, students will gain insight into online transaction processing (OLTP) and online analytical processing (OLAP).

This course exposes students to how core business concepts are implemented in real-world organizational settings. Key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). The class meets in a computer lab and enables hands-on experience, with instructor guidance, to the ERP solution from SAP, the world's largest business software company. Using the system's core modules and data warehouse, students will gain insight into online transaction processing (OLTP) and online analytical processing (OLAP).

Provides an introduction to project management, focusing on the integration of business operations and information management, and techniques to effectively manage the implementation of such projects.