Universidad Rey Juan Carlos

Curso Universitario Avanzado en Datos para Kill Chain Management: Monitoreo y Respuesta

Subject modules

1. Algebra - Intro Matlab
2. Probability - Intro Matlab
3. Preprocessing - Cleaning
4. Basic Concepts-Cost
5. Parametric Models (returns, logistics, etc.)
6. Non-parametric models
7. Unsupervised models
8. Kernels
9. Deep
10. Genetics - (Particle Filtering)
11. Recommendation Systems
12. Anomaly Detection

General Competences

• Ability to Search for Specific Information Related to the Different Subjects of the Master From All Available Sources.
• Ability to Present and Develop Reports.
• Ability to Interpret Technical Documents.
• Ability to Work in a Team, in an Interdisciplinary Environment.
• Resource Management: Organization and Ability to Establish Work Priorities.
• Flexibility to Adapt During the Development of a Project, Ability to Rethink.
• Critical Reasoning: Analysis, Synthesis, and Evaluation of Different Alternatives.
• Ability for Effective Written and Oral Communication.
• Information Management: Information Collection, Organization, Etc.
• Responsibility and Capacity for Self-learning.

Specific Competences

• The Student Will Learn How the Various Algorithms and Encryption Techniques Work and Their Benefits and Limitations.
• You Will Learn the Various Authentication Systems and Types, as well as the Difference Between Authentication and Authorization.
• The Student Will Be Able to Assess Potential Risks and Recommend Ways to Reduce Them.
• The Student Will Get to Know the Python Programming Language, Getting an Overview of the Language, and Getting to Be Able to Build Complex Programs.
• You Will Become Familiar With the Fundamental Concepts of Variable Treatment, Algorithm Development, and Programming.
• The Student Will Learn a Comprehensive Vision of Cybersecurity Technologies and Techniques.
• You Will Learn New Methods of Computing Encrypted Data, Network Security, and Protocol Design
• You Will Know the Most Effective Machine Learning Techniques.
• You Will Learn the Differences and Compatibility Between Octave and Matlab.
• You Will Know How to Differentiate Between Graphic Models and Network Models.
• You Will Know How to Differentiate Predictions on Temporal Data From Other Types of Data.
• In Addition, the Following Basic Competences Will Be Guaranteed :
• Possess and Understand Knowledge That Provides a Basis or Opportunity to Be Original in the Development and/or Application of Ideas, Often in a Research Context.
• What Students Know How to Apply the Knowledge Acquired and Their Ability to Solve Problems in New or Little-known Environments Within Broader (or Multidisciplinary) Contexts Related to Their Area of ​​study;
• That Students Are Able to Integrate Knowledge and Face the Complexity of Making Judgments Based on Incomplete or Limited Information
• What Students Know How to Communicate Their Conclusions –and the Ultimate Knowledge and Reasons That Support Them– to Specialized and Non-specialized Audiences in a Clear and Unambiguous Way;
• That Students Possess the Learning Skills That Allow Them to Continue Studying in a Way That Will Be Largely Self-directed or Autonomous.
• That Students Are Able to Establish the Relevant Interrelationships Between the Various Disciplines That Make Up the Master's.
• That Students Have Communication Skills at the Oral and Written Level in the Dissemination of Manufacturing and Design Knowledge.
• That They Have the Capacity for Synthesis and Analysis in the Presentation of the Contents.
• That Students Are Able to Apply Critical Judgment in the Field of Generic and Specific Bibliography Related to the Field of Related Studies.