This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL).

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 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.

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.

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.

Recent advances in the areas of productivity and quality improvement. Specific topics include all or some of: ISO 9000, Total Quality Management, Lean Thinking, Materials Requirements Planning (MRP), and miscellaneous techniques from Just-in-Time. If time permits, topics from one or more of the American Production and Inventory Control Society's (APICS) certification exams for the CPIM (the Operations Management counterpart to the CPA in accounting). Includes team field project at a local company.

The service sector contributes about 70% of the gross domestic product of the US economy. Also, it accounts for about 75% of the US employment. This course in "Service Industry Operations" examines firms in the service sector. The course begins with highlighting the salient aspects of services (specifically, differentiating a service from a product on various dimensions), and then provides an overview of structural, infrastructural, and behavioral aspects of managing service operations.

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 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.

Recent advances in the areas of productivity and quality improvement. Specific topics include all or some of: ISO 9000, Total Quality Management, Lean Thinking, Materials Requirements Planning (MRP), and miscellaneous techniques from Just-in-Time. If time permits, topics from one or more of the American Production and Inventory Control Society's (APICS) certification exams for the CPIM (the Operations Management counterpart to the CPA in accounting). Includes team field project at a local company.