Software Engineering Foundations for Civil and Environmental Engineers

Modern civil and environmental engineering projects increasingly rely on robust, maintainable software to model systems and analyze complex data. This course bridges the gap between traditional engineering and modern software development, teaching you how to write professional-grade code. You will transition from writing fragile scripts to designing structured, reliable, and testable software systems that can handle real-world physical data. What you will learn: 1. Understand core software architecture and design patterns suitable for engineering calculations. 2. Write clean, maintainable Python code using modern type hints and dataclasses. 3. Manage project dependencies and environments using virtual environments. 4. Implement basic automated testing with pytest to ensure calculation accuracy. 5. Design efficient data structures to handle spatial and environmental datasets. 6. Apply version control best practices to collaborate on engineering codebases. We begin with foundational software concepts and clean code principles before progressing to structured application design, data modeling, and testing. This course is designed for civil, environmental, and general engineers, as well as science students who want to build reliable software without a computer science degree. Start building more robust and maintainable engineering software today.