- Students will be able to recognize problems in real-world situations where operations research models can be applied.
- Students will understand models and techniques, formulation and results of an analytical or mathematical nature that aid decision-making.
- Students will be able to apply models and techniques in their industry or area of work.
- Students will gain a perspective that integrates management, computer science and mathematics to solve the new challenges of modern complex systems.
- L1. Distinguish types of models from optimization, decision analysis, simulation, and others,and recognize their limitations and applicability
- L2. Identify, formulate, and solve complex engineering and technology management problems by applying mathematical and computational modeling of real-world problems, including fundamental applications of those techniques in industry.
- L3. Using case studies, analyze problems and communicate solutions in a group learning context.
- L4. Use a statistical software package for computations with data
- Linear Programming
- Sensitivity Analysis
- Integer, Mixed Integer Programming
- Network Models
- Goal Programming
- Nonlinear Programming
- Probability Concepts
- Descriptive vs Prescriptive Analytics
- Simulation Modeling
- Decision Analysis and Decision Trees
- Integrating Models
- Using Simulation with Decision Trees
This course can be used to fulfill the following requirements:
- Master’s degree in Engineering and Technology Management:
- Selective for Managing with Analytical Methods core requirement
- This course cannot be used toward any graduate certificate.
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