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Dec 03, 2024
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BAN 630 - Optimization Methods for Analytics Units: 3 Determining the best solution among various choices, suggesting decision options, and illustrating the implications of each option. Topics include: optimization methods, queuing models, simulation, and application- based software. Not for MATH credit.
Prerequisites: Post-baccalaureate standing. Possible Instructional Methods: On-ground or Hybrid. Grading: A-F grading only. Student Learning Outcomes - Upon successful completion of this course students will be able to:
- Apply key concepts and methodologies of optimization.
- Develop extensive skills in formulating and analyzing optimization models for solving business problems.
- Apply various tools/software to solve optimization models.
- Interpret results and develop recommendations that support business decision making.
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