With this Relearning based program you will master OR-Tools and solve complex Financial Optimization problems”

A new study conducted by the World Economic Forum reflects that an organization's ability to make informed and optimized decisions is a key determinant of its competitiveness. In this sense, the OR-Tools library developed by Google is a powerful tool to address complex problems in financial management. Among its main advantages is its ability to create simulations and analysis of different financial scenarios, allowing professionals to evaluate how different variables can affect their decisions.

In this context, TECH presents an innovative program in Advanced Financial Optimization Techniques with OR-Tools. Designed by references in this field, the academic itinerary will delve into aspects ranging from the implementation of genetic algorithms in finance or Markowits models to improve portfolios to the most modern tools for solving linear programming problems. Likewise, the agenda will delve into how Machine Learning algorithms can be used to improve the selection of assets in a portfolio, maximizing returns and minimizing risks.

On the other hand, regarding the methodology of this university program, TECH offers a 100% online educational environment that allows experts to combine their studies with the rest of their daily responsibilities. In turn, it employs its disruptive Relearning system, based on the reiteration of key concepts to fix knowledge and facilitate learning. In this sense, the only requirement is that students have an electronic device with an Internet connection, including their own cell phone. In this way, students will be able to enter the Virtual Campus to enjoy an immersive experience that elevates the learning process.

This program gives you the opportunity to increase your knowledge in a real scenario, with the maximum scientific rigor of an institution at the forefront of technology”

This Postgraduate certificate in Advanced Financial Optimization Techniques with OR-Tools contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Looking to acquire skills to analyze large volumes of financial data to improve strategic decisions? Get it through this program”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will delve into the most sophisticated Stochastic Optimization models to allocate financial resources under uncertainty conditions"

As this is a 100% online university program, you will be able to combine your studies with the rest of your daily activities"

This university program has been developed by recognized experts in Advanced Financial Optimization Techniques with OR-Tools. The study plan will delve into issues such as the application of genetic algorithms to improve financial planning, solving linear programming problems or the use of Python. At the same time, the syllabus will delve into how Machine Learning-based algorithms are used to analyze large volumes of historical data to forecast trends in financial markets and make more informed strategic decisions. In this way, students will acquire advanced skills to handle OR-Tools and address numerous financial problems.

You will apply the most sophisticated Financial Optimization Techniques for portfolio management and resource allocation”

Module 1. Advanced Financial Optimization Techniques with OR-Tools

1.1. Introduction to Financial Optimization

1.1.1. Basic Optimization Concepts
1.1.2. Optimization Tools and Techniques in Finance
1.1.3. Applications of Optimization in Finance

1.2. Investment Portfolio Optimization

1.2.1. Markowitz Models for Portfolio Optimization
1.2.2. Portfolio Optimization with Constraints
1.2.3. Implementation of Optimization Models with OR-Tools in Python

1.3. Genetic Algorithms in Finance

1.3.1. Introduction to Genetic Algorithms
1.3.2. Application of Genetic Algorithms in Financial Optimization
1.3.3. Practical Examples and Case Studies

1.4. Linear and Nonlinear Programming in Finance

1.4.1. Fundamentals of Linear and Nonlinear Programming
1.4.2. Applications in Portfolio Management and Resource Optimization
1.4.3. Tools for Solving Linear Programming Problems

1.5.  Stochastic Optimization in Finance

1.5.1. Concepts of Stochastic Optimization
1.5.2. Applications in Risk Management and Financial Derivatives
1.5.3. Stochastic Optimization Models and Techniques

1.6. Robust Optimization and its Application in Finance

1.6.1. Fundamentals of Robust Optimization
1.6.2. Applications in Uncertain Financial Environments
1.6.3. Case Studies and Examples of Robust Optimization

1.7. Multi-Objective Optimization in Finance

1.7.1. Introduction to Multiobjective Optimization
1.7.2. Applications in Diversification and Asset Allocation
1.7.3. Techniques and Tools for Multiobjective Optimization

1.8. Machine Learning for Financial Optimization

1.8.1. Application of Machine Learning Techniques in Optimization
1.8.2. Optimization Algorithms Based on Machine Learning
1.8.3. Implementation and Case Studies

1.9. Optimization Tools in Python and OR-Tools

1.9.1. Python Optimization Libraries and Tools (SciPy, OR-Tools)
1.9.2. Practical Implementation of Optimization Problems
1.9.3. Examples of Financial Applications

1.10. Projects and Practical Applica tions of Financial Optimization

1.10.1. Development of Financial Optimization Projects
1.10.2. Implementation of Optimization Solutions in the Financial Sector
1.10.3. Evaluation and Presentation of Project Results

You will be able to download the entire syllabus from the first day of the course, being able to study it comfortably from your smartphone or tablet of choice.” Enroll now!”