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Nov 01, 2024
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BAN 320 - Optimization and Simulation for Business Applications Units: 3; Breadth Area: GE-UD-B; 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.
Strongly Recommended Preparation: Upper division status (greater than 60 earned semester units) and completion of lower division Areas B1-B3. Prerequisites: Completion of GE Areas A1, A2, A3 and B4 with grade C- (CR) or better. CS 100 (or CS 101). Possible Instructional Methods: On-ground, or Hybrid, or Online Asynchronous or Online Synchronous. Grading: A-F or CR/NC. (student choice) Breadth Area(s) Satisfied: GE-UDB- Upper Division Science Inquiry and Quantitative Reasoning, Overlay - Sustainability 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.
UD-B. Upper-division Science Inquiry and 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 technologies);
- 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; and
- apply science content knowledge to contemporary scientific issues (e.g., global warming) and technologies (e.g., cloning), where appropriate.
Sustainability Overlay Learning Outcomes
- identify the environmental, social, and economic dimensions of sustainability, either in general or in relation to a specific problem;
- analyze interactions between human activities and natural systems;
- describe key threats to environmental sustainability; and
- explain how individual and societal choices affect prospects for sustainability at the local, regional, and/or global levels.
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