Micro-credential: Digitalization and objectification of color
Part of pathway / module: Color management in eco-design / Advanced color management
EQF level: 6
ECTS credits: 1
Learning methods and duration: Approximately 25 hours (5 hours e-learning inc. video experience, 2 hours face-to-face, 16 hours work-based learning, 2 hours assesment)
Assessment methods:
- Initial assesment (quiz)
- Formative assessment (quizzes, group works and activities)
- Summative assessment (projects and assignments)
General objective: The learner will be introduced to:
• Introduce the evolution from visual to instrumental color measurement.
• Explain the principles of digital color measurement, including standard observers, illuminants, and geometry.
• Explore advanced color data processing, color difference models, and color order systems.
• Enable objective quantification and analysis of color for improved design and production workflows.
Timing:
Responsible institution: Technical University of Liberec (Czechia)
Contact person, email:
Learning Outcomes
Knowledge
After the completion of this module, learners will:
· Understand the development of color measurement methodologies and digital processing systems.
· Comprehend the CIE system, its principles, extensions, and practical applications.
· Recognize advanced color difference models and objective methods for quantifying perceptual differences.
· Understand color order systems and digital color-coding methodologies (HSV, HLC, HEX, RGB).
Skills
After the completion of this module, learners will be able to:
· Quantify color using spectrophotometers and other digital tools.
· Apply appropriate methodologies for defining acceptable color tolerances.
· Analyze color data using QC software and objective measurement systems.
· Describe and classify color using objective color order systems.
Competences
After the completion of this module, learners will:
· Objectively measure and communicate color across the supply chain.
· Apply the appropriate CIE system, illuminants, and devices to achieve accurate and consistent color.
· Optimize color workflows, reduce errors, and support sustainability in production.
