This course is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.

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.

The most frequently used methods in modeling and analyzing business and economic problems. The process of abstracting and model building, and the role of various types of models in description and decision making.

This course provides an introduction to advanced spreadsheet techniques and programming using macros and Visual Basic for Applications (VBA) in Excel. The focus is on automation of repetitive tasks, including data manipulation as well as data analysis. Experience with Excel is recommended. No prior programming experience expected.

This course provides an introduction to advanced spreadsheet techniques and programming using macros and Visual Basic for Applications (VBA) in Excel. The focus is on automation of repetitive tasks, including data manipulation as well as data analysis. Experience with Excel is recommended. No prior programming experience expected.

This course provides an introduction to advanced spreadsheet techniques and programming using macros and Visual Basic for Applications (VBA) in Excel. The focus is on automation of repetitive tasks, including data manipulation as well as data analysis. Experience with Excel is recommended. No prior programming experience expected.

This course provides an introduction to applications of Python for business analytics. This class will focus on data extraction and manipulation as well as automating data analysis tasks to support the larger goal of improving business outcomes through data-driven insights. No prior programming experience expected.

This course provides an introduction to applications of Python for business analytics. This class will focus on data extraction and manipulation as well as automating data analysis tasks to support the larger goal of improving business outcomes through data-driven insights. No prior programming experience expected.

This course provides an introduction to applications of Python for business analytics. This class will focus on data extraction and manipulation as well as automating data analysis tasks to support the larger goal of improving business outcomes through data-driven insights. No prior programming experience expected.

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.