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.

An introduction to operations management in manufacturing and service industries. Emphasis on learning the basic principles, using MS EXCEL, required to organize and manage service and manufacturing organizations. Topics may include improved facility layout, project management, supply-chain management, Just-in-Time systems, inventory management, scheduling, and work force management. Discussions of real world applications frequently used to demonstrate concepts.

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. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

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.

In the digital age, the ability to analyze and interpret marketing data has become essential for success. This course, Applications of R for Marketing and Analytics, is designed to equip students with the skills needed to harness the power of data in making strategic marketing decisions. Through a blend of theoretical concepts and hands-on practice, students will learn how to clean, analyze, and visualize marketing data from real world datasets. Students will acquire knowledge about the methods and software that are used to understand issues such as market segmentation, sales forecasting, and conjoint analysis.

Marketers use a broad array of evolving tools, from Direct Mail to Social Media. In this course, students learn about the range of these tools, related data sources, and online and offline metrics for evaluating their success. The course stresses combining different marketing resources (for example, bricks and mortar stores with online channels; online landing pages to test offline media with google analytics).

Workforce planning includes strategic assessment of internal and external labor markets, the legal context, and the future labor needs of the organization. Effective recruiting requires identification of labor sources, targeting talent, and training recruiters. Employee selection topics include measurement, assessment, and hiring of candidates. Post-hire issues including socialization, retention, and separation are also covered.

Social entrepreneurship involves using the skills and strategies of business to innovatively and sustainably solve social, environmental, and economic problems. As a result, this course will help students identify and create business opportunities that have positive social impacts.

Individual, interpersonal, and group behavior in an organizational context. Encourage a broadened awareness of one's own and others' behavior in managerial roles, while improving managerial skills. Prerequisite: MANAGMNT 301.

Theory and practice of human resource management. Topics include: recruitment and hiring, training and development, compensation, motivation, and employee services. Current issues in equal employment opportunity.