Quantitative Methods and Decision Theory MGSC 2103-0
Portée de Expérience
Catégories
Analyse des données Modélisation des données OpérationsCompétences
quantitative research constructive feedback strategic decision making mathematical modeling problem solving decision making probability linear programming microsoft excel health administrationThe course of Quantitative Methods equips students with essential skills in applying quantitative techniques to solve real-world problems in business, healthcare, management, and other industries. Learners will focus on interpreting data, formulating mathematical models, and making informed decisions based on their analysis. With foundational knowledge in probability, regression, linear programming, and decision-making under uncertainty, students will use tools like MS Excel and Excel QM to drive data-backed insights.
Employers are expected to provide regular guidance, offer access to all relevant project information, participate in virtual feedback sessions. Your constructive feedback will help students refine their problem-solving and decision-making skills through practical application.
Apprenant.es
At the end of this collaboration, employers will receive:
- A final report detailing the problem analysis, model formulation, and key recommendations based on quantitative methods.
- A final presentation where student groups will present their findings and answer any questions about the project.
Exemples de projets
Exigances
Ideal projects will involve the application of quantitative methods to real-world scenarios, allowing students to develop models, interpret data, and make decisions. Examples include:
- Optimization of Resource Allocation: Create a linear programming model to optimize the allocation of resources in a business setting.
- Risk Analysis in Healthcare: Apply probability and decision models to assess risk and improve decision-making in a healthcare project.
- Exploring the utility of a customer or a provider: Using utility functions, investigate the preferences of customers and how that directs decision making.
- Sales Forecasting for a Retailer: Use regression analysis and forecasting techniques to predict future sales trends for a retail company.
- Inventory Management Solutions: Develop a model to optimize inventory management decisions, reducing excess stock and minimizing costs.
- Decision Making: Application of Linear Programming Approaches to Decision making.
Critères supplé mentaires pour entreprise
Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:
Critères supplé mentaires pour entreprise
Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience: