Data analysis in structural design

Course guarantor:

Kamila Cábová

Lecturer:

Kamila Cábová

Tutor:

Kamila Cábová

Supervisor:

Department of Steel and Timber Structures

Synopsis:

The course is focused on methods of data analysis in structural design under ambient and fire conditions. It addresses approaches to scientific data processing, from data collection and identification of governing parameters through numerical analysis using the finite element method to statistical evaluation and interpretation of results. The course also includes the use of data-processing tools (such as Python) and the application of artificial intelligence and machine learning methods for the generation and processing of large datasets. Emphasis is placed on the integration of experimental and numerical approaches and on their application in engineering practice.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Note:

Time-table for winter semester 2025/2026:

Time-table is not available yet

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans: