Upon course completion, the candidate will be able to:
Knowledge
- Acquire knowledge of various optimization techniques.
- Gain proficiency in problem formulation and modeling techniques for real-world decision-making scenarios.
- Learn the basics of decision analysis and risk management to make informed decisions under uncertainty.
Skills
- Build practical mathematical models for decision-making.
- Use relevant software tools and programming languages for solving optimization problems (Python).
- Interpret and apply model results for improved decision-making.
General competences
- Apply mathematical and statistical methods in various decision situations related to economics and business administration.
- Use mathematical and statistical methods independently in various decision situations.
- Effectively convey the research findings to both experts and non-experts in a clear, concise, and rigorous manner, aiming to offer valuable business insights to a diverse audience