8 Sections
25 Lessons
4 Hours
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Foundations of Algorithmic Thinking
3
1.1
What is Algorithmic Thinking in Architecture
1.2
Understanding Logic, Rules, and Patterns
1.3
From Manual Design to Computational Design
Computational Design Basics
3
2.1
Introduction to Parametric Design
2.2
Variables, Constraints, and Design Parameters
2.3
Visual Programming for Architects
Generative and Rule-Based Design
3
3.1
Creating Forms Through Algorithms
3.2
Rule-Based Systems in Architectural Design
3.3
Exploring Iterative Design Processes
Data-Driven Design Intelligence
3
4.1
Using Data to Inform Design Decisions
4.2
Environmental and Performance Analysis
4.3
Optimization Techniques in Architecture
Tools and Digital Workflows
3
5.1
Introduction to Grasshopper and Computational Tools
5.2
Integrating Algorithms with BIM Workflows
5.3
Automation in Design Documentation
Advanced Computational Concepts
3
6.1
Machine Learning Concepts for Designers
6.2
AI and Generative Intelligence in Architecture
6.3
Simulation and Predictive Modeling
Human Creativity and Ethics
3
7.1
Balancing Creativity with Automation
7.2
Ethical Challenges in Computational Design
7.3
Avoiding Overdependence on Algorithms
Future Applications and Career Growth
4
8.1
Smart Cities and Algorithmic Urbanism
8.2
Future Careers in Computational Architecture
8.3
Building an Algorithmic Design Portfolio
8.4
The Future of Architecture Through Intelligent Systems
Algorithmic Thinking for Architects
Curriculum
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