Math, Numerical Methods & Data Analytics

Game Theory and Optimization

Advanced Strategies in Game Theory and Optimization

Workload: 448 hours Topics: Optimization Techniques
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

Game Theory and Optimization provides a comprehensive examination of strategic decision-making and resource allocation methods. Participants will engage with mathematical models and optimization techniques that are essential for solving complex problems in various business contexts. The course emphasizes practical application through project-based learning, enabling attendees to apply theoretical knowledge to real-world scenarios, thereby enhancing their problem-solving skills and analytical thinking.
The curriculum is designed to facilitate interactive learning, encouraging participants to collaborate on projects that culminate in publishable results in Cademix Magazine. This hands-on approach not only reinforces theoretical concepts but also prepares participants for immediate application in their professional environments. By the end of the program, learners will have developed a robust understanding of game theory principles and optimization strategies, equipping them to tackle challenges in diverse fields such as economics, operations research, and data analytics.
Introduction to Game Theory: Concepts and Applications
Strategic Form Games: Nash Equilibria and Dominance
Extensive Form Games: Backward Induction and Subgame Perfection
Cooperative Game Theory: Core, Shapley Value, and Bargaining Solutions
Linear Programming: Formulation and Simplex Method
Integer Programming: Techniques and Applications
Non-linear Optimization: Methods and Case Studies
Dynamic Programming: Principles and Applications
Simulation Techniques in Game Theory and Optimization
Final Project: Developing an Optimization Model for a Real-World Problem

Learning goal

Equip participants with advanced knowledge and practical skills in game theory and optimization techniques applicable in various professional contexts.

Target group

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Prerequisites

A foundational understanding of calculus and linear algebra is recommended. Familiarity with basic programming concepts can be beneficial.

Format and certification

Teaching method: Project-based, interactive learning with a focus on collaborative work and real-world application.

Certificate: Certificate of Attendance or Certificate of Expert issued by Cademix Institute of Technology.

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Cademix Institute of Technology e.U.Continuing Education ยท Professional Development ยท Austria