Introduction to the Program

Esta Postgraduate diploma te permitirá actualizar tus conocimientos sobre Intelligent Systems de un modo práctico, 100% online, sin renunciar al máximo rigor académico”

Este programa está dirigido a aquellas personas interesadas en alcanzar un nivel de conocimiento superior en Intelligent Systems. El principal objetivo es capacitar al alumno para que aplique en el mundo real los conocimientos adquiridos en esta Postgraduate diploma, en un entorno de trabajo que reproduzca las condiciones que se puede encontrar en su futuro, de manera rigurosa y realista.

Esta Postgraduate diploma preparará al alumno para el ejercicio profesional de la Ingeniería Informática, gracias a una capacitación transversal y versátil adaptada a las nuevas tecnologías e innovaciones en este campo. Obtendrá amplios conocimientos en Intelligent Systems, de la mano de profesionales en el sector.

El profesional debe aprovechar la oportunidad y cursar esta capacitación en un formato 100% online, sin tener que renunciar a sus obligaciones, y haciendo fácil tu regreso a la universidad. Actualiza sus conocimientos y consigue su título de Postgraduate diploma para seguir creciendo personal y profesionalmente.

Este programa te permitirá potenciar tus capacidades y actualizar tus conocimientos en Intelligent Systems”

Esta Postgraduate diploma en Intelligent Systems contiene el programa educativo más completo y actualizado del mercado. Sus características más destacadas son:

  • Desarrollo de 100 escenarios simulados presentados por expertos en Sistemas Inteligentes
  • Sus contenidos gráficos, esquemáticos y eminentemente prácticos con los que están concebidos, recogen una información científica y práctica sobre el Sistemas Inteligentes
  • Novedades sobre los últimos avances en el Sistemas Inteligentes
  • Contiene ejercicios prácticos donde realizar el proceso de autoevaluación para mejorar el aprendizaje
  • Sistema interactivo de aprendizaje basado en el método del caso y su aplicación a la práctica real
  • Todo esto se complementará con lecciones teóricas, preguntas al experto, foros de discusión de temas controvertidos y trabajos de reflexión individual
  • Disponibilidad de los contenidos desde cualquier dispositivo fijo o portátil con conexión a internet

Capacítate en Sistemas Inteligentes con este programa intensivo desde la comodidad de tu casa”

Incluye en su cuadro docente profesionales pertenecientes al ámbito de Ingeniería Informática, que vierten en esta capacitación la experiencia de su trabajo, además de reconocidos especialistas pertenecientes a sociedades de referencia y universidades de prestigio.

Gracias a su contenido multimedia elaborado con la última tecnología educativa, permitirán al profesional un aprendizaje situado y contextual, es decir, un entorno simulado que proporcionará un aprendizaje inmersivo programado para entrenarse ante situaciones reales.

El diseño de este programa está basado en el Aprendizaje Basado en Problemas, mediante el cual el docente deberá tratar de resolver las distintas situaciones de práctica profesional que se le planteen a lo largo del curso. Para ello, el profesional contará con la ayuda de un novedoso sistema de vídeos interactivos realizados por reconocidos expertos en Sistemas de Información con gran experiencia docente.

Aprovecha la última tecnología educativa para ponerte al día en Intelligent Systems sin moverte de casa"

Conoce las últimas técnicas en Intelligent Systems de la mano de expertos en la materia"

Syllabus

The structure of the contents has been designed by a team of IT engineering professionals, aware of the relevance of current preparation in order to delve into this area of knowledge , in order to humanistically enrich the students and raise the level of knowledge in Intelligent Systems through the latest educational technologies available.

This Postgraduate diploma in Intelligent Systems contains the most complete and up-to-date program of learning the market”

Module 1. Intelligent Systems

1.1. Agent Theory

1.1.1. Concept History
1.1.2. Agent Definition
1.1.3. Agents in Artificial Intelligence
1.1.4. Agents in Software Engineering

1.2. Agent Architectures

1.2.1. The Reasoning Process of an Agent
1.2.2. Reactive Agents
1.2.3. Deductive Agents
1.2.4. Hybrid Agents
1.2.5. Comparison

1.3. Information and Knowledge

1.3.1. Difference between Data, Information and Knowledge
1.3.2. Data Quality Assessment
1.3.3. Data Collection Methods
1.3.4. Information Acquisition Methods
1.3.5. Knowledge Acquisition Methods

1.4. Knowledge Representation

1.4.1. The Importance of Knowledge Representation
1.4.2. Definition of Knowledge Representation According to Roles
1.4.3. Knowledge Representation Features

1.5. Ontologies

1.5.1. Introduction to Metadata
1.5.2. Philosophical Concept of Ontology
1.5.3. Computing Concept of Ontology
1.5.4. Domain Ontologies and Higher-Level Ontologies
1.5.5. Building an Ontology

1.6.  Ontology Languages and Ontology Creation Software

1.6.1. Triple RDF, Turtle and N3
1.6.2. RDF Schema
1.6.3. OWL
1.6.4. SPARQL
1.6.5. Introduction to Ontology Creation Tools
1.6.6. Installing and Using Protégé

1.7.  Semantic Web

1.7.1. Current and Future Status of the Semantic Web
1.7.2. Semantic Web Applications

1.8.  Other Knowledge Representation Models

1.8.1. Vocabulary
1.8.2. Global Vision
1.8.3. Taxonomy
1.8.4. Thesauri
1.8.5. Folksonomy
1.8.6. Comparison
1.8.7. Mind Maps

1.9. Knowledge Representation Assessment and Integration

1.9.1. Zero-Order Logic
1.9.2. First-Order Logic
1.9.3. Descriptive Logic
1.9.4. Relationship between Different Types of Logic
1.9.5. Prolog: Programming Based on First-Order Logic

1.10. Semantic Reasoners, Knowledge-Based Systems and Expert Systems

1.10.1. Concept of Reasoner
1.10.2. Reasoner Applications
1.10.3. Knowledge-Based Systems
1.10.4. MYCIN: History of Expert Systems
1.10.5. Expert Systems Elements and Architecture
1.10.6. Creating Expert Systems

Module 2. Artificial Intelligence and Knowledge Engineering

2.1. Introduction to Artificial Intelligence and Knowledge Engineering

2.1.1. Brief History of Artificial Intelligence
2.1.2. Artificial Intelligence Today
2.1.3. Knowledge Engineering

2.2. Searching

2.2.1. Common Search Concepts
2.2.2. Uninformed Search
2.2.3. Informed Search

2.3. Boolean Satisfiability, Constraint Satisfiability and Automatic Planning

2.3.1. Boolean Satisfiability
2.3.2. Constraint Satisfiability Problems
2.3.3. Automatic Planning and PDDL
2.3.4. Planning as a Heuristic Search
2.3.5. Planning with SAT

2.4. Artificial Intelligence in Games

2.4.1. Game Theory
2.4.2. Minimax and Alpha-Beta Pruning
2.4.3. Simulation: Monte Carlo

2.5. Supervised and Unsupervised Learning

2.5.1. Introduction to Machine Learning
2.5.2. Classification
2.5.3. Regression
2.5.4. Validation of Results
2.5.5. Clustering

2.6. Neural Networks

2.6.1. Biological Fundamentals
2.6.2. Computational Model
2.6.3. Supervised and Unsupervised Neural Networks
2.6.4. Simple Perceptron
2.6.5. Multilayer Perceptron.

2.7. Genetic Algorithms

2.7.1. History
2.7.2. Biological Basis
2.7.3. Problem Coding
2.7.4. Generation of the Initial Population
2.7.5. Main Algorithm and Genetic Operators
2.7.6. Evaluation of Individuals: Fitness

2.8. Thesauri, Vocabularies, Taxonomies

2.8.1. Vocabulary
2.8.2. Taxonomy
2.8.3. Thesauri
2.8.4. Ontologies

2.9. Knowledge Representation: Semantic Web

2.9.1. Semantic Web
2.9.2. Specifications RDF, RDFS and OWL
2.9.3. Inference/ Reasoning
2.9.4. Linked Data

2.10. Expert systems and DSS

2.10.1. Expert Systems
2.10.2. Decision Support Systems

Module 3. Multiagent Systems and Computational Perception

3.1. Agents and Multiagent Systems

3.1.1. Concept of Agent
3.1.2. Architecture
3.1.3. Communication and Coordination
3.1.4. Programming Languages and Tools
3.1.5. Applications of the Agents
3.1.6. The FIPA

3.2. The Standard for Agents: FIPA

3.2.1. Communication between Agents
3.2.2. Agent Management
3.2.3. Abstract Architecture
3.2.4. Other Specifications

3.3. The JADE Platform

3.3.1. Software Agents According to JADE
3.3.2. Architecture
3.3.3. Installation and Execution
3.3.4. JADE Packages

3.4. Basic Programming with JADE

3.4.1. The Management Console
3.4.2. Basic Creation of Agents

3.5. Advanced Programming with JADE

3.5.1. Advanced Creation of Agents
3.5.2. Communication between Agents
3.5.3. Discovering Agents

3.6. Computer Vision

3.6.1. Processing and Digital Analysis of Images
3.6.2. Image Analysis and Artificial Vision
3.6.3. Image Processing and Human Vision
3.6.4. Image Capturing System
3.6.5. Image Formation and Perception

3.7. Digital Image Analysis

3.7.1. Stages of the Image Analysis Process
3.7.2. Pre-Processing
3.7.3. Basic Operations
3.7.4. Spatial Filtering

3.8. Digital Image Transformation and Image Segmentation

3.8.1. Fourier Transform
3.8.2. Frequency Filtering
3.8.3. Basic Concepts
3.8.4. Thresholding
3.8.5. Contour Detection

3.9. Shape Recognition

3.9.1. Feature Extraction
3.9.2. Classification Algorithms

3.10. Natural Language Processing

3.10.1. Automatic Speech Recognition
3.10.2. Computational Linguistics

A unique, key, and decisive educational experience to boost your professional development”

Postgraduate Diploma in Intelligent Systems

Intelligent Systems have become an essential tool for companies and organizations of all kinds, as they allow automating processes and optimizing resources more efficiently. They are capable of learning and adapting to new situations, and can be applied in a wide variety of areas, such as data analysis, robotics, computer security, among others. This Postgraduate Diploma in Intelligent Systems provides you with the necessary skills and knowledge to design, implement and maintain intelligent systems in different fields. Therefore, this degree is ideal for anyone interested in new technologies and who wishes to develop their professional career in a highly demanded and constantly evolving field. The knowledge you will acquire in this academic experience will open the doors to numerous professional opportunities in the future.

This is your chance to specialize in a field that is currently in high demand!

This Postgraduate Diploma will allow you to delve in depth into aspects such as Artificial Intelligence, neural networks, machine learning, natural language processing and other fundamental concepts for the construction of cutting-edge Intelligent Systems. The Postgraduate Diploma is 100% online, which allows you to study at your own pace and from anywhere with internet access. It also has didactic materials in multimedia formats such as video or interactive summary, which will help you to better understand the concepts and applications of these systems. Its design is the work of prestigious experts in this field, who will pour into the degree all the knowledge obtained throughout their exquisite professional careers.

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