Business Data Analysis

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.

Supply Chain Management

Integrated supply chain constitutes a core firm competency, spanning most business functions required to deliver products and services to consumers at the right time, in the right amounts, at attractive prices, and with satisfactory quality characteristics. Advances in information technology facilitate continued improvement in supply chain infrastructure and operations efficiency.

Business Process Simulation

Computer simulation presented for carrying out trial-and-error experiments on computer approximations of real, management systems. The goal is to 1) validate a new idea quickly, 2) diagnose potential product design problems, 3) optimize performance of complex systems, and 4) learn about something complex. The Arena environment, based on the SIMAN language, used to build models and video game-like animations.

Business Proc&Enterprise Syst

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 Management

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.
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