This course will introduce students to concepts, tools, and techniques necessary for planning and control of production and other operations of an organization. Organizational processes from sourcing and inventory management to production planning and scheduling as well as quality control will be covered. Students will learn how to model and analyze operations, and to evaluate impact of various strategies on the processes and on products/service quality, productivity, efficiency, and cost effectiveness, especially when there are uncertainties.

This course teaches students how to make business decisions based on the data and quantitative models. It introduces students to the optimization methods used in business - primarily linear and integer programming. The concepts are studied mainly in the context of applications to the operations and supply chain management field. Examples from other business disciplines such as finance and human resource management are included too.

This course teaches students how to make business decisions based on the data and quantitative models. It introduces students to the optimization methods used in business - primarily linear and integer programming. The concepts are studied mainly in the context of applications to the operations and supply chain management field. Examples from other business disciplines such as finance and human resource management are included too.

In today's business settings, knowledge workers increasingly rely on data-driven decision- making strategies. This course provides the necessary data analytics background for subsequent coursework dealing with topics such as quality control, inventory management, sourcing, and logistics management. It introduces students to the Normal distribution, Decision Tree Analysis, Demand Forecasting, and Interactive Data Visualization, all of which rely on data as the grist to help generate useful managerial information and insights.

In today's business settings, knowledge workers increasingly rely on data-driven decision- making strategies. This course provides the necessary data analytics background for subsequent coursework dealing with topics such as quality control, inventory management, sourcing, and logistics management. It introduces students to the Normal distribution, Decision Tree Analysis, Demand Forecasting, and Interactive Data Visualization, all of which rely on data as the grist to help generate useful managerial information and insights.

Students confer individually with the instructor. May be repeated to a maximum of six credits.

Medical Laboratory Science encompasses multiple major and minor discipline areas thus offering various career opportunities. In this course we will explore these discipline areas and career opportunities as well as discuss the changing roles of laborartory practitioners.

Medical Laboratory Science encompasses multiple major and minor discipline areas thus offering various career opportunities. In this course we will explore these discipline areas and career opportunities as well as discuss the changing roles of laborartory practitioners.

Students will be introduced to basic clinical laboratory principles and techniques and provided an opportunity to learn and practice the skills necessary for obtaining a blood specimen by venipuncture and dermal puncture. This course includes a mandatory clinical phlebotomy training opportunity that provides the student with experience collecting venous blood specimens for laboratory testing.

Students will be introduced to basic clinical laboratory principles and techniques and provided an opportunity to learn and practice the skills necessary for obtaining a blood specimen by venipuncture and dermal puncture. This course includes a mandatory clinical phlebotomy training opportunity that provides the student with experience collecting venous blood specimens for laboratory testing.