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.

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.

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.

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.

As recent advances in technology have affected nearly every facet of marketing, digitization has revolutionized marketing strategy. Big data, social media networks and new monitoring tools to measure customer journeys are revolutionizing the way consumers and brands engage in online conversations. This course is designed to introduce new theoretical frameworks emerging from digital marketing, covering in detail topics such as search marketing, customer experience analytics, social media marketing, and recommendation systems.

The cultural, economic, social, legal, political, or organizational forces that influence multinational marketing operations. Prerequisite: MARKETNG 300 or 301.

This course is designed for students to acquire Professional Selling Skills by utilizing a theory to practice approach. Students will engage in a number of in-class activities designed to strengthen their understanding of the sales process and MASTER the skills needed to EXCEL in today's business world. This course embraces technology and students will be exposed to a wide variety of sales tools during the course of the semester. This course includes a module on Customer Relationship Management (CRM.) Students should expect to participate in a number of highly interactive, in-class exercises (including videotaped sales calls) all of which are designed to help refine and elevate selling skills. There will be opportunities for students to participate in a number of activities outside the classroom to enhance "real world" application of selling skills. These opportunities will be completely voluntary and open to all students in the course.

Introduces primary and secondary data collection and analysis as a means to assess consumer behavior and develop effective marketing strategies; incorporates the use of technology in data collection and analysis. Prerequisites: MARKETNG 301; STATISTC 140 or 141 or RES-ECON 211 or 212.