This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables.

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).

Quality control concepts including: fundamental computer and statistical concepts: Statistical Process Control (SPC) using control charts; methods for quality improvement; acceptance sampling; industrial experimentation and reliability.

This course is integrative and will introduce you to business process optimization using mathematical programming models and provide you the capability to use modeling constructs for business process optimization scenarios that arise in industry. Such prescriptive analytics are used in decision-making scenarios that arise in business process planning and operations in areas such as production, logistics, supply chain management, marketing, or finance.

Introduction to the basic models and techniques of transportation planning and control.

Examines information technology from a business enterprise perspective. Topics include: the components and development of business information technology systems, their use in enhancing and facilitating management practices and decision making and their impact on management decisions.

Examines information technology from a business enterprise perspective. Topics include: the components and development of business information technology systems, their use in enhancing and facilitating management practices and decision making and their impact on management decisions.

Examines information technology from a business enterprise perspective. Topics include: the components and development of business information technology systems, their use in enhancing and facilitating management practices and decision making and their impact on management decisions.

Examines information technology from a business enterprise perspective. Topics include: the components and development of business information technology systems, their use in enhancing and facilitating management practices and decision making and their impact on management decisions.

Examines information technology from a business enterprise perspective. Topics include: the components and development of business information technology systems, their use in enhancing and facilitating management practices and decision making and their impact on management decisions.