Con esta Postgraduate diploma 100% online, dominarás el uso de algoritmos de optimización para maximizar la eficiencia en la distribución espacial, el uso de recursos y la funcionalidad de los proyectos arquitectónicos”

Un nuevo estudio realizado por el Foro Económico Mundial desvela que la implementación de tecnologías de Simulación basadas en Inteligencia Artificial en arquitectura puede reducir hasta en un 40% los costos asociados a la conservación de edificios históricos y mejorar la eficiencia operativa de los proyectos urbanos. Por eso, los profesionales necesitan manejar con destreza estas herramientas tanto para diseñar como preservar los espacios construidos, así como para proteger los entornos construidos frente a los diversos desafíos ambientales y humanos.

En este escenario, TECH lanza un pionero programa en Simulation, Optimization and Preservation of Spaces Using Artificial Intelligence. Diseñado por reconocidos expertos en este ámbito, el itinerario académico ahondará en aspectos que abarcan desde las técnicas más sofisticadas para optimizar la eficiencia energética de las infraestructuras o las estrategias de diseño bioclimático hasta el empleo de materiales sostenibles. Asimismo, el temario profundizará en el empleo de AnyLogic para modelar la dinámica del uso del espacio en entornos urbanos y arquitectónicos. En adición, el programa incluirá un disruptivo módulo para ahondar en las perspectivas futuras sobre las tecnologías emergentes de Inteligencia Artificial y su aplicación en la preservación del patrimonio. Gracias a esto, los egresados obtendrán competencias avanzadas para manejar herramientas de Inteligencia Artificial para mejorar la eficiencia de los proyectos arquitectónicos y maximizarán su sostenibilidad considerablemente.

Por otra parte, la metodología del programa se basa en el método Relearning de TECH, que garantiza la asimilación exhaustiva de conceptos complejos. Cabe destacar que lo único que requieren los arquitectos para acceder a este Campus Virtual es un dispositivo con acceso a Internet y en él hallarán disímiles recursos multimedia (como vídeos explicativos, resúmenes interactivos o lecturas especializadas). Sin duda, una experiencia inmersiva que permitirá a los expertos experimentar un notable salto de calidad en sus trayectorias laborales.

Ampliarás tus conocimientos a partir del análisis de casos reales y la resolución de situaciones complejas en entornos simulados de aprendizaje”

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 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 utilizar el software de simulación arquitectónica más vanguardistas para anticipar el rendimiento de estructuras bajo diferentes escenarios? Lógralo con este programa universitario en tan solo 6 meses”

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.

Profundizarás en las últimas tendencias en la preservación del patrimonio y la restauración de espacios históricos"

Aprenderás a tu propio ritmo y sin inconvenientes temporales gracias al revolucionario sistema Relearning que TECH pone a tu disposición”

This university program has been designed by recognized experts in Simulation, Optimization and Preservation of Spaces Using Artificial Intelligence. The curriculum will delve into issues such as the application of SketchUp to obtain detailed energy analysis, sustainable materials assisted with Cityzenit or intelligent energy management with Google DeepMind's Energy. In addition, the syllabus will provide graduates with the most advanced simulation techniques with MATLAB, which will allow them to model the energy consumption of a building under different climatic conditions. In addition, the didactic materials will analyze how Artificial Intelligence can be used to prevent the deterioration of historic structures.

You will apply Machine Learning and predictive analytics techniques in architectural planning to significantly improve decision making”

Module 1. Space Optimization and Energy Efficiency with AI

1.1. Optimizing Spaces with Autodesk Revit and AI

1.1.1. Using Autodesk Revit and AI 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 AI
1.2.3. Strategies for Setting Energy Efficiency Goals for Architectural Projects

1.3. Bioclimatic Design and AI-Optimized Solar Orientation

1.3.1. AI-Assisted Bioclimatic Design Strategies for Maximizing Energy Efficiency
1.3.2. Examples of Buildings Using AI-Guided Design to Optimize Thermal Comfort
1.3.3. Practical Applications of AI 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 AI 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 AI

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 AI for Energy Consumption Optimization
1.6.3. Assessment of Cases Where AI Has Transformed Energy Management in Communities and Buildings

1.7. AI-Assisted Energy Efficiency Certifications and Regulations

1.7.1. Using AI 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 AI-Supported Sustainable Architecture

1.8. Life Cycle Assessment and Environmental Footprint with Enernoc

1.8.1. AI 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 AI 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 AI for Spatial and Energy Optimization
1.10.3. Perspectives on How AI Will Continue to Transform Architecture and Urban Design

Module 2. Simulation and Predictive Modeling with AI

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 AI 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 AI 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 AI

3.1. AI Technologies in Heritage Restoration with Photogrammetry

3.1.1. Using Photogrammetry and AI 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 AI 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 AI-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 AI-Assisted Maintenance

3.4.1. Using AI Technologies to Develop Strategies for Preventive Conservation and Maintenance of Historic Buildings
3.4.2. Implementing AI-Based Monitoring Systems for Early Detection of Structural Problems
3.4.3. Examples of How AI 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 AI
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. AI-Assisted Preservation Policies and Management

3.6.1. Using AI-Based Tools for Management and Policy Making in Heritage Preservation
3.6.2. Strategies for Integrating AI 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 AI Restoration and Preservation

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

3.8. Innovation and the Future of Heritage Preservation with AI

3.8.1. Perspectives on Emerging AI Technologies and Their Application in Heritage Preservation
3.8.2. Assessing the Potential of AI 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 AI in Future Conservation and Restoration Practices
3.10.3. Perspectives on How Technology Will Transform Heritage Preservation in the Coming Decades

A university program designed based on the latest trends in Simulation, Optimization and Preservation of Spaces Using Artificial Intelligence to guarantee you a successful learning experience. Enroll now!”