Mediante este EPostgraduate diploma, 100% online, dominarás las técnicas de Inteligencia Artificial más innovadoras para maximizar la eficiencia en el uso del espacio y diseñarás proyectos arquitectónicos más funcionales”

Según un reciente informe realizado por la Asociación Internacional de Ciencias de la Construcción, la implementación de tecnologías de Simulación basadas en Inteligencia Artificial ha demostrado mejorar la eficiencia en el diseño arquitectónico en un 40%. Asimismo, la entidad destaca que sus herramientas conllevan una reducción de los costos de Preservación del Patrimonio en un 28% al permitir un modelado predictivo más efectivo. Ante esta realidad, los arquitectos necesitan desarrollar habilidades avanzadas para llevar a cabo simulaciones más integrales con el objetivo de optimizar la calidad de sus infraestructuras de manera significativa.

En este marco, TECH lanza un pionero programa en Simulation, Optimization and Preservation of Spaces Using Artificial Intelligence. El itinerario académico se centrará en cuestiones como la optimización espacial mediante Autodesk Revit, la realización de métricas de rendimiento energético con SketchUp y el diseño bioclimático. Así pues, los alumnos desarrollarán habilidades avanzadas para maximizar la eficiencia en el uso del espacio, lo que se traduce en diseños más funcionales y sostenibles. En sintonía con esto, los materiales didácticos analizarán la aplicación de algoritmos de Aprendizaje Automático; lo que permitirá a los egresados diseñar construcciones altamente innovadoras.

Por otro lado, en cuanto a la metodología del programa universitario, TECH ofrece un entorno de aprendizaje totalmente online que brinda a los arquitectos la flexibilidad necesaria para adaptarse a sus horarios. Además, emplea su revolucionario sistema del Relearning, cimentando en la repetición de conceptos claves para fijar los conocimientos y garantizar un aprendizaje duradero. Lo único que necesitará el alumnado es tener a su alcance un dispositivo electrónico con acceso a internet, para adentrarse así en el Campus Virtual.  En esta plataforma encontrarán una variedad de recursos multimedia como vídeos explicativos, casos de estudios o lecturas especializadas. Sin duda, una experiencia inmersiva que contribuirá a que los arquitectos mejoren sus perspectivas laborales considerablemente.

Contarás con el apoyo de la mayor institución académica online del mundo, TECH con la última tecnología educativa a tu disposición"

Esta Postgraduate diploma en Simulation, Optimization and Preservation of Spaces Using Artificial Intelligence contiene el programa educativo más completo y actualizado del mercado. Sus características más destacadas son:

• El desarrollo de casos prácticos presentados por expertos en Inteligencia Artificial

• Los contenidos gráficos, esquemáticos y eminentemente prácticos con los que está concebido recogen una información completa y práctica sobre aquellas disciplinas indispensables para el ejercicio profesional

• Los ejercicios prácticos donde realizar el proceso de autoevaluación para mejorar el aprendizaje

• Su especial hincapié en metodologías innovadoras

• Las lecciones teóricas, preguntas al experto, foros de discusión de temas controvertidos y trabajos de reflexión individual

• La disponibilidad de acceso a los contenidos desde cualquier dispositivo fijo o portátil con conexión a internet

¿Buscas aplicar las técnicas de fotogrametría y escaneo láser más modernas en la documentación para preservar la autenticidad histórica? Consíguelo con este programa universitario”

El programa incluye en su cuadro docente a profesionales del sector que vierten en esta capacitación la experiencia de su trabajo, además de reconocidos especialistas de sociedades de referencia y universidades de prestigio.

Su contenido multimedia, elaborado con la última tecnología educativa, permitirá al profesional un aprendizaje situado y contextual, es decir, un entorno simulado que proporcionará una capacitación inmersiva programada para entrenarse ante situaciones reales.

El diseño de este programa se centra en el Aprendizaje Basado en Problemas, mediante el cual el profesional deberá tratar de resolver las distintas situaciones de práctica profesional que se le planteen a lo largo del curso académico. Para ello, contará con la ayuda de un novedoso sistema de vídeo interactivo realizado por reconocidos expertos.

Con la disruptiva metodología del Relearning de TECH podrás afianzar los conceptos más complejos de forma rápida y efectiva, sin la necesidad de invertir largas horas de estudio"

Ahondarás en la Simulación de procesos constructivos con CityEngine para crear modelos urbanos tridimensionales detallados"

This program has been developed by recognized experts in Simulation, Optimization and Preservation of Spaces through Artificial Intelligence. Therefore, the syllabus will go in depth on issues ranging from the optimization of spaces with Autodesk Revit or the use of Trimble to obtain detailed energy analysis to the most effective bioclimatic design strategies to make the most of natural resources. In this way, students will obtain advanced skills to model the behavior of infrastructures in different conditions and scenarios. In addition, the syllabus will provide the keys to implement algorithms to make data-driven decisions and create efficient designs.

You will develop the most effective strategies for the restoration of Historical and Cultural Spaces through comprehensive simulations”

Module 1. Space Optimization and Energy Efficiency with Artificial Intelligence

1.1. Optimizing Spaces with Autodesk Revit And Artificial Intelligence

1.1.1. Using Autodesk Revit And Artificial Intelligence for Spatial Optimization and Energy Efficiency
1.1.2. Advanced Techniques for Improving Energy Efficiency in Architectural Designs
1.1.3. Case Studies of Successful Projects Combining Autodesk Revit with AI

1.2. Analysis of Energy Efficiency Metrics and Data with SketchUp and Trimble

1.2.1. Applying SketchUp and Trimble Tools for Detailed Energy Analysis
1.2.2. Developing Energy Efficiency Metrics Using Artificial Intelligence
1.2.3. Strategies for Setting Energy Efficiency Goals for Architectural Projects

1.3. Bioclimatic Design and Artificial Intelligence-Optimized Solar Orientation

1.3.1. Artificial Intelligence-Assisted Bioclimatic Design Strategies for Maximizing Energy Efficiency
1.3.2. Examples of Buildings Using Artificial Intelligence-Guided Design to Optimize Thermal Comfort
1.3.3. Practical Applications of Artificial Intelligence in Solar Orientation and Passive Design

1.4. AI-Assisted Sustainable Materials and Technologies with Cityzenit

1.4.1. Innovation in Sustainable Materials Supported by Artificial Intelligence Analysis
1.4.2. Using AI to Develop and Apply Recycled and Low-Environmental-Impact Materials
1.4.3. Study of Projects Using Renewable Energy Systems Integrated with Artificial Intelligence

1.5. Urban Planning and Energy Efficiency with WattPredictor and AI

1.5.1. AI Strategies for Energy Efficiency in Urban Design
1.5.2. Implementing WattPredictor to Optimize Energy Use in Public Spaces
1.5.3. Successful Cases of Cities Using AI to Improve Urban Sustainability

1.6. Intelligent Energy Management with Google DeepMind's Energy

1.6.1. Applications of DeepMind Technologies for Energy Management
1.6.2. Implementing Artificial Intelligence for Energy Consumption Optimization
1.6.3. Assessment of Cases Where Artificial Intelligence Has Transformed Energy Management in Communities and Buildings

1.7. Artificial Intelligence-Assisted Energy Efficiency Certifications and Regulations

1.7.1. Using Artificial Intelligence to Ensure Compliance with Energy Efficiency Standards (LEED, BREEAM)
1.7.2. AI Tools for Energy Audit and Certification of Projects
1.7.3. Impact of Regulations on Artificial Intelligence-Supported Sustainable Architecture

1.8. Life Cycle Assessment and Environmental Footprint with Enernoc

1.8.1. Artificial Intelligence Integration for Life Cycle Analysis of Building Materials
1.8.2. Using Enernoc to Assess Carbon Footprint and Sustainability
1.8.3. Model Projects Using AI for Advanced Environmental Assessments

1.9. Energy Efficiency Education and Awareness with Verdigris

1.9.1. Role of Artificial Intelligence in Energy Efficiency Education and Awareness
1.9.2. Using Verdigris to Teach Sustainable Practices to Architects and Designers
1.9.3. Initiatives and Educational Programs Using AI to Promote a Cultural Change Toward Sustainability

1.10. Future of Space Optimization and Energy Efficiency with ENBALA

1.10.1. Exploration of Future Challenges and the Evolution of Energy Efficiency Technologies
1.10.2. Emerging Trends in Artificial Intelligence for Spatial and Energy Optimization
1.10.3. Perspectives on How Artificial Intelligence Will Continue to Transform Architecture and Urban Design

Module 2. Simulation and Predictive Modeling with Artificial Intelligence

2.1. Advanced Simulation Techniques with MATLAB in Architecture

2.1.1. Using MATLAB for Advanced Architectural Simulations
2.1.2. Integrating Predictive Modeling and Big Data Analytics
2.1.3. Case Studies Where MATLAB Has Been Fundamental in Architectural Simulation

2.2. Advanced Structural Analysis with ANSYS

2.2.1. Implementing ANSYS for Advanced Structural Simulations in Architectural Projects
2.2.2. Integrating Predictive Models to Evaluate Structural Safety and Durability
2.2.3. Projects Highlighting the Use of Structural Simulations in High Performance Architecture

2.3. Modeling Space Use and Human Dynamics with AnyLogic

2.3.1. Using AnyLogic to Model the Dynamics of Space Use and Human Mobility
2.3.2. Applying AI to Predict and Improve the Efficiency of Space Use in Urban and Architectural Environments
2.3.3. Case Studies Showing How Simulation Influences Urban and Architectural Planning

2.4. Predictive Modeling with TensorFlow in Urban Planning

2.4.1. Implementing TensorFlow for Modeling Urban Dynamics and Structural Behavior
2.4.2. Using AI to Predict Future Outcomes in City Design
2.4.3. Examples of How Predictive Modeling Influences Urban Planning and Design

2.5. Predictive Modeling and Generative Design with GenerativeComponents

2.5.1. Using GenerativeComponents to Merge Predictive Modeling and Generative Design
2.5.2. Applying Machine Learning Algorithms to Create Innovative and Efficient Designs
2.5.3. Examples of Architectural Projects that Have Optimized Their Design Using These Advanced Technologies

2.6. Simulation of Environmental Impact and Sustainability with COMSOL

2.6.1. Applying COMSOL for Environmental Simulations in Large-Scale Projects
2.6.2. Using AI to Analyze and Improve the Environmental Impact of Buildings
2.6.3. Projects that Show How Simulation Contributes to Sustainability

2.7. Simulation of Environmental Performance with COMSOL

2.7.1. Applying COMSOL Multiphysics for Environmental and Thermal Performance Simulations
2.7.2. Using Artificial Intelligence to Optimize Design Based on Daylighting and Acoustics Simulations
2.7.3. Examples of Successful Implementations That Have Improved Sustainability and Comfort

2.8. Innovation in Simulation and Predictive Modeling

2.8.1. Exploration of Emerging Technologies and Their Impact on Simulation and Modeling
2.8.2. Discussion of How Artificial Intelligence Is Changing Simulation Capabilities in Architecture
2.8.3. Evaluation of Future Tools and Their Potential Applications in Architectural Design

2.9. Simulation of Construction Processes with CityEngine

2.9.1. Applying CityEngine to Simulate Construction Sequences and Optimize On-Site Workflows
2.9.2. AI Integration for Modeling Construction Logistics and Coordinating Activities in Real-Time
2.9.3. Case Studies Showing Improved Construction Efficiency and Safety through Advanced Simulations

2.10. Challenges and Future of Simulation and Predictive Modeling

2.10.1. Assessment of Current Challenges in Simulation and Predictive Modeling in Architecture
2.10.2. Emerging Trends and the Future of These Technologies in Architectural Practice
2.10.3. Discussion on the Impact of Continued Innovation in Simulation and Predictive Modeling in Architecture and Construction

Module 3. Heritage Preservation and Restoration with Artificial Intelligence

3.1. Artificial Intelligence Technologies in Heritage Restoration with Photogrammetry

3.1.1. Using Photogrammetry And Artificial Intelligence for Accurate Heritage Documentation and Restoration
3.1.2. Practical Applications in the Restoration of Historic Buildings
3.1.3. Outstanding Projects Combining Advanced Techniques and Respect for Authenticity

3.2. Predictive Analysis for Conservation with Laser Scanning

3.2.1. Implementing Laser Scanning and Predictive Analytics in Heritage Conservation
3.2.2. Using Artificial Intelligence to Detect and Prevent Deterioration in Historic Structures
3.2.3. Examples of How These Technologies Have Improved Accuracy and Efficiency in Conservation

3.3. Cultural Heritage Management with Virtual Reconstruction

3.3.1. Applying Artificial Intelligence-Assisted Virtual Reconstruction Techniques
3.3.2. Strategies for Digital Heritage Management and Preservation
3.3.3. Success Stories in the Use of Virtual Re-Enactment for Education and Preservation

3.4. Preventive Conservation and Artificial Intelligence-Assisted Maintenance

3.4.1. Using Artificial Intelligence Technologies to Develop Strategies for Preventive Conservation and Maintenance of Historic Buildings
3.4.2. Implementing Artificial Intelligence-Based Monitoring Systems for Early Detection of Structural Problems
3.4.3. Examples of How Artificial Intelligence Contributes to the Long-Term Conservation of Cultural Heritage

3.5. Digital Documentation and BIM in Heritage Preservation

3.5.1. Applying Advanced Digital Documentation Techniques, including BIM and Augmented Reality, Assisted by Artificial Intelligence
3.5.2. Using BIM Models for Efficient Heritage Management and Restoration
3.5.3. Case Studies on the Integration of Digital Documentation in Restoration Projects

3.6. Artificial Intelligence-Assisted Preservation Policies and Management

3.6.1. Using Artificial Intelligence-Based Tools for Management and Policy Making in Heritage Preservation
3.6.2. Strategies for Integrating Artificial Intelligence into Conservation-Related Decision-Making
3.6.3. Discussion of How AI Can Improve Collaboration Among Institutions for Heritage Preservation

3.7. Ethics and Responsibility in Artificial Intelligence Restoration and Preservation

3.7.1. Ethical Considerations in the Application of Artificial Intelligence in Heritage Restoration
3.7.2. Debate on the Balance between Technological Innovation and Respect for Historical Authenticity
3.7.3. Examples of How Artificial Intelligence Can Be Used Responsibly in Heritage Restoration

3.8. Innovation and the Future of Heritage Preservation with Artificial Intelligence

3.8.1. Perspectives on Emerging Artificial Intelligence Technologies and Their Application in Heritage Preservation
3.8.2. Assessing the Potential of Artificial Intelligence to Transform Restoration and Conservation
3.8.3. Discussion on the Future of Heritage Preservation in an Era of Rapid Technological Innovation

3.9. Cultural Heritage Education and Awareness with GIS

3.9.1. Importance of Public Education and Awareness in Cultural Heritage Preservation with GIS
3.9.2. Using Geographical Information Systems (GIS) to Promote the Valuation and Knowledge of Cultural Heritage
3.9.3. Successful Education and Outreach Initiatives Using Technology to Teach about Cultural Heritage

3.10. Challenges and the Future of Heritage Preservation and Restoration

3.10.1. Identification of Current Challenges in Cultural Heritage Preservation
3.10.2. Role of Technological Innovation and Artificial Intelligence in Future Conservation and Restoration Practices
3.10.3. Perspectives on How Technology Will Transform Heritage Preservation in the Coming Decades

The teaching materials of this program, elaborated by these specialists, have contents that are completely applicable to your professional experiences"