E-PashuHaat Transportal

GPMS TRANSPORTAL APPLIED AI COURSES

AI

Course 38 - AI Solutions for Architecture and Urban Planning

Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)

Week 1 - AI in Architectural Design and Visualization
Learning Outcome

Learn how AI aids in architectural design and visualization.

1.1 AI-driven generative design in architecture.
1.2 Machine learning for optimizing floor plans and layouts.
1.3 AI in 3D modeling and real-time visualization.

Practical Component

Create an AI-assisted design for a building structure using generative design tools.


Week 2 - AI for Building Performance and Energy Efficiency
Learning Outcome

Understand how AI enhances building performance and energy efficiency.

2.1 AI-powered energy simulation for buildings.
2.2 Machine learning models for optimizing HVAC systems.
2.3 AI for smart lighting and temperature control.

Practical Component

Design an AI-based system to optimize energy consumption in a building.


Week 3 - AI for Urban Planning and Smart Cities
Learning Outcome

Explore how AI is applied in urban planning and the development of smart cities.

3.1 AI for traffic and transportation optimization.
3.2 Machine learning for predicting city growth and infrastructure needs.
3.3 AI-based urban sustainability and environmental planning.

Practical Component

Develop an AI-powered traffic management system for a city.


Week 4 - AI for Construction Site Safety and Management
Learning Outcome

Learn how AI improves safety and efficiency on construction sites.

4.1 AI for construction site monitoring and hazard detection.
4.2 AI-driven project management and scheduling.
4.3 Machine learning for resource optimization in construction.

Practical Component

Build an AI tool for monitoring construction site safety.


Week 5 - AI in Building Maintenance and Operations
Learning Outcome

Understand AI's role in the ongoing maintenance and operation of buildings.

5.1 AI for predictive maintenance in building systems.
5.2 AI-driven facility management solutions.
5.3 Machine learning for optimizing maintenance schedules.

Practical Component

Create an AI-powered predictive maintenance system for building operations.


Week 6 - Capstone Project and Assessment
Learning Outcome

Apply AI to a real-world architectural or urban planning project.

6.1 Develop an AI-based solution for a building design, smart city feature, or construction site management.
6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.

Practical Component

Present an AI-driven architectural or urban planning solution.