Software Design Principles for Energy Software Development
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Unclaimed ProfileThis specialized course, designed by Dr. Spyros Giannelos, provides software engineers, data scientists, and energy professionals with the essential architectural foundation needed to transition energy models from simple prototypes into robust, production-ready enterprise applications. Developing software for the energy sector introduces unique challenges, including complex economic calculations, high-dimensional simulation data, and the need for high-performance smart grid integration. By focusing on core software engineering methodologies, this program guides students through a hands-on exploration of the Divide and Conquer principle, the 5 SOLID design principles, and strategies to balance cohesion and coupling. Learners will discover how to analyze code quality across multiple dimensions of modularity—from functional and sequential cohesion to avoiding harmful content coupling. Through practical examples involving energy application architecture and smart grid systems, you will learn to build reusable components, refactor legacy code, and establish clean interfaces. Whether you are modeling energy markets, optimization algorithms, or grid simulations, this course ensures your software remains maintainable, scalable, and resilient in a rapidly evolving industrial landscape.
About the creator
Dr Spyros Giannelos | Energy Data Scientist
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Dr Spyros Giannelos is a specialized researcher, data scientist, and educator working at the intersection of power systems engineering and advanced software development. With an extensive academic and professional background in energy systems analysis, mathematical optimization, and machine learning, Dr Giannelos has spent years translating complex physical constraints into elegant digital architectures. His work focuses on building robust software solutions for modern smart grids, renewable energy integration, and electricity markets. Recognizing a critical gap in how energy professionals write software, Dr Giannelos teaches with an emphasis on production-grade code, architectural design patterns, and maintainability. In his course, Software Design Principles…Show more
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What You'll Learn
- Master the Divide and Conquer principle through a complete smart energy system implementation
- Apply all 5 SOLID principles to build flexible, maintainable energy software architectures
- Optimize Cohesion across 7 different types (functional, layer, communication, sequential, procedural, temporal, utility)
- Minimize Coupling using 5 key strategies (content, stamp, routine, type use, import coupling)
- Design reusable components that can be shared across multiple energy projects
- Refactor existing energy system code to follow professional design patterns
- Evaluate software quality using industry-standard metrics and best practices
- Build a complete energy application architecture from requirements to implementation
Best For
- Software engineers and data scientists building complex energy market simulations
- Energy sector developers looking to refactor legacy code into modular, production-grade applications
- Architects focused on designing scalable software for smart grid and renewable energy infrastructure
- Technical professionals who need to apply formal design patterns to high-dimensional energy data models
Not For
- Complete beginners with no prior programming experience in Python or C++
- Web developers seeking general front-end frameworks without an interest in energy engineering
- Individuals looking for introductory data science tutorials that do not focus on software architecture
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