BAN 320 - Optimization and Simulation for Business Applications

Units: 3 ; Breadth Area: GE-UD-5; Sustainability
Determine the best solution among various choices. Applications include evaluating business decision and environmental impacts, experiment design, analyzing sustainability of outcomes, and illustrating the business implications of each option. Topics include sampling and hypothesis testing, regression analysis, optimization methods, queuing models, simulation, and application- based software. Not for Math credit.

Breadth Area(s) Satisfied: GE-UD-5 - Upper Division Science or Mathematical Concepts/Quantitative Reasoning, Overlay - Sustainability
Prerequisites: Completion of GE Areas 1A, 1B, 1C and GE-2 with grade C- (CR) or better (GE Areas A1, A2, A3 and B4 for students on the 2024-25 or earlier catalogs),CS 100 (or CS 101).
Strongly Recommended Preparation: Upper division status (greater than 60 earned semester units) and completion of lower division GE Area 5 (Areas B1-B3 for students on the 2024-25 or earlier catalogs).
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Variable Intermittently

Student Learning Outcomes - Upon successful completion of this course students will be able to:

Identify appropriate quantitative tools and methods to solve business problems.
Use data analytics models in making effective business decisions.
Explain analytical results in their project reports and other assignments to people with technical and non-technical backgrounds
Apply analytic skills to evaluate the sustainability issues within a business environment and to identify the areas for improvement.

GE-UD-5. Upper-division Science or Mathematical Concepts/Quantitative Reasoning Learning Outcomes

Demonstrate advanced and/or focused science or quantitative content knowledge in a specific scientific field, using appropriate vocabulary and referencing appropriate concepts (such as models, uncertainties, hypotheses, theories, and
Apply advanced quantitative skills (such as statistics, algebraic solutions, interpretation of graphical data) to scientific problems and evaluate scientific claims.
Demonstrate understanding of the nature of science and scientific inquiry and the experimental and empirical methodologies used in science to investigate a scientific question or issue.
Apply science content knowledge to contemporary scientific issues (e.g., global warming) and technologies (e.g., cloning), where appropriate.

Sustainability Overlay Learning Outcomes

Discuss multiple dimensions of sustainability, including the scientific, social, cultural, and/or economic.
Analyze interactions between human activities and natural systems.
Describe strategies taken by individuals, communities, organizations, or governments for mitigating and/or adapting to key threats to environmental sustainability.