Software Design Principles for Energy Software Development

Name: Software Design Principles for Energy Software Development
Rating: 4.8 (144 reviews)

From Prototype to Production: Software Engineering for Energy Applications

Created byAlgorithmic Economist, PhD

Last updated 6/2026

English

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

Course content

8 sections • 25 lectures • 4h 41m total length

Introduction3:51
Download the attached file, which opens with keynote (Apple).
Additional Case Studies0:03
Important

Functional cohesion12:17
We look into what Cohesion is, with Python. The code is attached (zip file).
Layer cohesion13:39
We look into what Layer cohesion is, with Python. The code is attached (zip file).
Communication cohesion8:20
We look into what Communication Cohesion is, with Python. The code is attached (zip file).
Sequential cohesion14:28
We look into what Sequential Cohesion is, with Python. The code is attached (zip file).
Procedural cohesion10:30
We look into what Procedural Cohesion is, with Python. The code is attached (zip file).
Temporal cohesion11:33
We look into what Temporal Cohesion is, with Python. The code is attached (zip file).
Utility cohesion9:07
We look into what Utility Cohesion is, with Python.

The Single Responsibility Principles32:49
This section presents the Single Responsibility Principle in Python
Open Closed Principle14:59
This lecture presents the Open Closed Principle in Python.
The LSP principle27:07
This lecture presents the LSP principle in Python.
ISP16:26
This lecture focuses on the ISP Principle in Python.
Interfaces vs No Interfaces7:02
This lecture presents Interfaces in Python.
DIP26:47
We look into the DIP principle in Python.

Requirements

Absolute beginners to software design welcome!
Basic programming knowledge helpful but not required
No formal computer science background needed
Just need a computer and enthusiasm

Description

WHO I AM: I hold a PhD in Energy from Imperial College London. I teach practical, real-world data science specifically for the energy sector.

REGULAR ENHANCEMENTS: This course is reviewed periodically with updates to reflect the modern energy market.

STUDENT BONUS: Note: Students who enroll in this course will receive access to the Energy Data Scientist community.

What You'll Learn:

How to apply the Divide and Conquer principle to break down complex models into manageable components
How to implement SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion) in software engineering projects for energy
How to optimize Cohesion and Coupling for building maintainable and scalable energy software solutions
How to design reusable code components that reduce development time and costs
How to apply these principles to real-world smart energy system applications

Perfect For:

Energy software developers and engineers
Data scientists transitioning to software engineering roles, with a focus on energy/economics
Energy system architects and technical leads
Full-stack developers in the energy/utility sector
Technical consultants in energy digitalization
Graduate students in energy informatics or computer science
Energy professionals learning to build production-ready code

Why This Matters:

The energy transition demands software that can handle massive data flows, integrate renewable sources, manage smart grids, and optimize energy trading - all while remaining maintainable and scalable. Poor software design costs the energy sector billions in technical debt and failed digital transformation projects. Companies desperately need developers who understand both energy systems AND professional software architecture. Whether you're building energy management platforms, trading algorithms, or grid optimization tools, these design principles are the difference between prototype code and production systems. Master the skills that transform you from a coder to a software architect, opening doors to senior engineering roles paying $180,000-300,000+ in the booming energy tech sector.

Who this course is for:

Energy Software Developers seeking to write cleaner, more maintainable code
Data Scientists in Energy transitioning from scripts to production-ready software
Energy System Engineers building smart grid and renewable integration platforms
Graduate Students & Researchers developing energy modeling and simulation tools
Technical Consultants designing enterprise energy management systems
Full-Stack Developers moving into energy tech and utility applications
Energy Analysts & Modelers who want their code to meet professional standards
Anyone building energy software who needs solid architectural foundations

Software Design Principles for Energy Software Development

What you'll learn

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Course content

Introduction2 lectures • 4min

Divide and Conquer2 lectures • 16min

Cohesion7 lectures • 1hr 20min

Coupling5 lectures • 42min

Reusability1 lecture • 14min

SOLID Design Principles6 lectures • 2hr 5min

Conclusions1 lecture • 1min

BONUS1 lecture • 1min

Requirements

Description

Who this course is for: