AI in Architectural Design

Aperçu

Are you navigating through the maze of AI discussions in everyday conversations? Do you feel overwhelmed and find it challenging to keep up with the constant flow of AI news?

Or perhaps you are enthusiastic about AI and its transformative power in design practices. This course will shed light on the science behind the most popular AI tools.

Are you an architect concerned about the potential impact of AI on your role?

If you're eager to upskill, this course is designed to help you manage expectations and enhance your skills, ensuring greater job competency in the evolving landscape of design, data, and AI.

The course goes beyond introducing AI as merely a tool but presents a new methodology for scientific design thinking, focusing on a few key elements to empower your designs with Artificial Intelligence.

The content of the course is specifically suitable for architects in practice or architectural students searching for something outside of the architecture field, possibly gaining new skills in programming and AI to fit into more diverse job opportunities.

The learning journey starts with understanding machine learning as the science behind AI technology. Further, the focus is established on computer vision as the “eye of AI” within the domain of architectural design.

You will discover how computer vision technology reshapes the landscape of design possibilities and merges creativity and technology.

You will also be introduced to algorithmic and data-driven thinking, data patterns, and the transformative power of learning systems. Hands-on experience with Python programming is included in the course.

The assessments will include a brief machine learning project that combines theory with real-world application.

Both scientific and computational approaches are presented in the course. You will learn how to formulate hypotheses and explore innovative ways of testing and validating your design concepts.

By exploring statistical machine learning for design validation, you will be able to translate your design hypotheses into reality by employing intuitive statistical machine learning methods, refining your designs through empirical validation, and acquiring the skills to make informed design decisions.

Offered by Delft University of Technology via edX, this course falls under multiple categories including Artificial Intelligence Courses, Machine Learning Courses, Computer Vision Courses, Reinforcement Learning Courses, Deep Learning Courses, Supervised Learning Courses, and Unsupervised Learning Courses.

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Enseigné par

Seyran Khademi

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Matières