Introduces students to functions, problems, and techniques associated with management of production operations in manufacturing firms and service organizations. The problem oriented approach focuses on analytical techniques so students learn to recognize problems arising in operations management areas and to apply analytic techniques meaningfully. Topics include plant location, plant layout and design, inventory control, quality control, production planning and control (including PERT), production scheduling, queuing, mathematical programming, simulation, and forecasting.
The elements of basic statistical theory and technique are introduced with an emphasis on applications to business situations. Computer-based software packages complement these objectives.
This course will convey the fundamental concepts of data visualization and analysis. Students will develop a toolkit of skills to analyze, interpret, and communicate data. Emphasis is on understanding how to analyze data through visualization methods.
Students will have an understanding of the fundamentals of linear algebra and calculus as they are applied to business analytics and be able to apply this knowledge in future courses and generate working analytical models.
This course concentrates on the foundations of computerized support for managerial decision making. It focuses on decision making theory, identifying a company’s information requirements, data warehouse design, modelling techniques for decision making, and introduces a broad range of business analytics tools.
An introduction to the quantitative methods needed by students in business-related majors. Topics covered include equations and graphs, functions, and systems of equations.