August 6, 11am-12pm

Best Practices: Designing with Pedestrian Scale Solutions

1 AIA|HSW LU

This is a detailed and thorough course designed to take anyone of any background and provide them a strong knowledge and a toolset of best practices for designing with pedestrian scale solutions. In the world of lighting, pedestrian scale solutions are primarily bollards, building elements, and pole-top luminaires. These critical solutions enable any designer to create safe, comfortable, and functional spaces for people, and more specifically pedestrians. To effectively achieve this mission critical task, one needs to understand the terminology, product characteristics, manufacturing considerations, design challenges, available options, and safety requirements.

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August 18, 11am-12pm

Designing Lighting for Behavioral Health Environments

1 AIA|HSW LU

A layered, hospitality-oriented design approach with focused downlighting strategies

Learning Objectives

• Identify how behavioral health lighting differs from general healthcare and correctional lighting.
• Apply a layered lighting strategy across patient rooms, corridors, therapy areas, crisis rooms, and K-12 calming spaces.
• Evaluate luminaires for ligature resistance, tamper resistance, impact resistance, glare control, and serviceability.
• Explain appropriate uses of tunable white and RGBW systems for circadian support and sensory modulation.
• Recognize NYS OMH, Canadian, and Alberta-specific criteria that affect lighting product selection.

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August 21, 11am-12pm

A Journey Through the Psychology of Lighting Design

1 AIA LU

This course explores John Flynn's research and its impact on modern lighting design. Participants learn how brightness, color temperature, light distribution, and color rendering influence human psychology, mood, perception, and well-being. The course examines how these principles are applied in contemporary lighting design to create functional, comfortable, and engaging environments.

Learning Objectives

• Flynn’s Principles of Lighting and how they apply to design.
• The psychological impact of light and characteristics of lighting design that impact mood and emotions.
• How lighting influences productivity and performance.
• The role of LED technology in creating psychologically beneficial lighting designs.

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August 28, 11am-12pm

Introduction to Self-Commissioning Luminaire Level Lighting Control (LLLC)

1 AIA LU

This course introduces participants to AI-enabled Luminaire Level Lighting Control (LLLC)—a major technical advancement in commercial smart lighting. The program explores how artificial intelligence enables true self-commissioning lighting systems, eliminating many of the complexities traditionally associated with setup and configuration. Participants will gain a clear understanding of: How the technology works and the role of AI in self-commissioning. Key differences between AI-driven self-commissioning systems and conventional LLLC offerings. Where the greatest value is realized in real-world applications, from energy optimization to reduced installation costs. By the end of the course, participants will understand how self-commissioning fits within the broader LLLC landscape, the advantages it provides, and how it effectively eliminates the trade-offs between capital expenditure and energy conservation—unlocking smarter, more sustainable lighting solutions.

Learning Objectives

• Identify Challenges to LLLC Adoption: Examine the key barriers to widespread implementation of Luminaire Level Lighting Controls (LLLCs), including installation complexity, configuration requirements, and user adoption issues.
• How AI enabled luminaires remove barriers to LLLC adoption: Understand how AI-enabled luminaires can reduce barriers to LLLC adoption through self-commissioning features. Explain how these systems function in practice, including sensor integration, communication protocols, and automated setup processes.
• Compare Self-Commissioning with Traditional LLLC Approaches Analyze the technical capabilities of self-commissioning luminaires—such as discovery, adaptation, and self-governance—and compare them with conventional networked or app-based LLLC systems, considering their impact on installation, scalability, and ongoing maintenance
• Evaluate the Impact on Architectural Specification and Design: Assess how AI-driven lighting systems may influence lighting specification, design, and deployment workflows. Discuss potential applications across commercial, educational, and industrial sectors, and explore their relevance in both new construction and retrofit scenarios.
• Evaluate how self-commissioning systems may avoid traditional trade-offs in lighting projects — such as minimizing capital expenditure at the expense of long-term energy savings — particularly during the planning and budgeting phases of architectural development.

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