Introduction

Are you ready to revolutionize your engineering workflow? This course equips civil and structural engineers with Python programming skills to automate repetitive tasks, perform advanced analyses, and generate professional reports. Replace manual Excel workflows with efficient, scalable code while mastering libraries like NumPy, SymPy, Pandas, and Matplotlib. From calculating beam reactions to plotting M-N interaction diagrams, this hands on program bridges the gap between theory and computational practice.

Structured for practical relevance, this course covers:

• Python fundamentals: syntax, data structures, and control flow tailored for engineering.
• Numerical computing: solve systems of equations, process structural data, and automate design checks.
• Symbolic mathematics: derive section properties and stress-strain relationships.
• Data analysis: manage load cases, analyze results, and export to LaTeX/PDF.
• Real-world projects: design concrete beams, verify steel columns, and generate compliance reports.

Objectives

By completing this course, you will:

1. Automate structural calculations: replace Excel with Python scripts for bending moments, shear forces, and buckling analysis.
2. Master Python libraries: leverage NumPy for matrix operations, SymPy for symbolic math, and Pandas for data handling.
3. Generate professional outputs: create LaTeX reports with dynamic tables, plots, and diagrams using Matplotlib.
4. Solve complex problems: implement M-N interaction diagrams, section verifications, and Eurocode compliant designs.
5. Build reusable workflows: develop modular code for parametric studies and collaborative projects.
6. Transition to Computational Engineering: enhance employability with in-demand Python skills.

Limited places.

Module 1. Introduction to Python for engineers

• Why Python? Setting up Jupyter notebooks, basic syntax, and engineering examples.

Module 2. Python basics for structural analysis

• Variables, loops, functions, and error handling. Calculate beam reactions and deflections.

Module 3. Numerical computing with NumPy

• Arrays, matrix operations, and solving linear systems. Automate shear/moment diagrams.

Module 4. Symbolic mathematics with SymPy

• Derive section properties, solve equilibrium equations, and M-N interaction curves.

Module 5. Data analysis with Pandas

• Import/export Excel data, analyze load combinations, and generate envelopes.

Module 6. Visualization with Matplotlib

• Plot stress distributions, deflection curves, and professional diagrams.

Module 7. Engineering applications

• Design concrete beams (ULS/SLS), steel columns, and automate AISC/Eurocode checks.

Module 8. Advanced automation & reporting

• Generate LaTeX/PDF reports, integrate with CAD tools, and collaborative coding.

Hasan Mirzabozorg

University Professor Hassan Mirzabozorg is a highly experienced engineer and researcher with over 20 years of experience in structural engineering. He received his PhD in Civil Engineering from the Sharif University of Technology, Iran’s first rank technology university.

Professor Mirzabozorg’s research focuses on the practical applications of fracture mechanics in structural engineering. He has published numerous papers on this topic in leading engineering journals and has also served as a consultant to several companies and government agencies.

In addition to his research work, Professor Mirzabozorg is an experienced educator who has taught courses on structural mechanics, fracture mechanics, and related topics at the undergraduate and graduate levels. His teaching style emphasises a mix of theoretical knowledge and practical applications, and he is known for his ability to explain complex concepts in a clear and concise manner.

As the instructor for the ” Python for Civil and Structural Engineers: Automate Analysis, Design, and Reporting “course, Professor Mirzabozorg brings his extensive experience and expertise in structural engineering to the classroom, providing students with a unique opportunity to learn from one of the leading experts in the field.

The course is delivered online through our easy-to-use Virtual Campus platform. For this course, a variety of content is provided including:

– eLearning materials
– Videos
– Interactive multimedia content
– Live webinar classes
– Texts and technical articles
– Case studies
– Assignments and evaluation exercises

Students can download the materials and work through the course at their own pace.
We regularly update this course to ensure the latest news and state-of-the-art developments are covered, and your knowledge of the subject is current.

Live webinars form part of our course delivery. These allow students and tutors to go through the course materials, exchange ideas and knowledge, and solve problems together in a virtual classroom setting. Students can also make use of the platform’s forum, a meeting point to interact with tutors and other students.

The tutoring system is managed by email. Students can email the tutor with any questions about the course and the tutor will be happy to help.

• Civil/Structural Engineers seeking to modernize workflows.
• Engineering students preparing for computational roles.
• CAD/Excel users transitioning to programming.

Prior knowledge:

• Basic understanding of structural mechanics (no coding experience required).
Industries:
• Construction, Civil Engineering consultancies, infrastructure development.

Ideal participants:

• Professionals involved in structural design, analysis, and reporting.

Once a student finishes the course and successfully completes the assignments and evaluation tests, they are sent an accreditation certificate. The certificate is issued by Ingeoexpert to verify that the student has passed the course. It is a digital certificate that is unique and tamper-proof – it is protected by Blockchain technology. This means it is possible for anyone to check that it is an authentic, original document.

You will be able to download the certificate in an electronic format from the Virtual Campus platform. The certificate can be forwarded by email, shared on social networks, and embedded on websites. To see an example, click here.

Career opportunities:

• Computational Structural Engineer: automate design workflows for firms.
• BIM Specialist: integrate Python with Revit/ETABS for parametric modeling.
• Design Analyst: optimize structures using Python-driven simulations.
• Consultant: offer Python-based solutions for code compliance and reporting.

Roles include:

• Structural Engineer (Automation Focus)
• Civil Software Developer
• Project Engineer (Digital Tools)
• Research Engineer (Computational Mechanics)

Industries hiring:

• Construction Firms
• Engineering Consultancies
• Government Infrastructure Agencies
• Tech Startups (Smart Infrastructure)

Salary & Growth:

• Python-proficient engineers earn 20-30% higher salaries (2023 industry surveys).
• High demand in sustainable design and AI-driven structural optimization.