Course Contents
- Introduction to the acquisition, processing and visualization of sensor data (formats, errors, gaps, outliers)
- Fundamentals of data-driven modeling of engineering systems
- Project exercise with exemplary applications for data-driven modelling from civil engineering, environmental engineering, geodesy and transport.
Literature
Will be announced in lecture and exercise.
Preconditions
Recommended: Basics of Engineering Informatics (13-F0-M009) or knowledge of programming.
Online Offerings
Moodle
- Introduction to the acquisition, processing and visualization of sensor data (formats, errors, gaps, outliers)
- Fundamentals of data-driven modeling of engineering systems
- Project exercise with exemplary applications for data-driven modelling from civil engineering, environmental engineering, geodesy and transport.
Literature
Will be announced in lecture and exercise.
Preconditions
Recommended: Basics of Engineering Informatics (13-F0-M009) or knowledge of programming.
Online Offerings
Moodle
- Lehrende: HüblerClemens
- Lehrende: RüppelUwe
- Lehrende: XiaZhongxin
Semester: ST 2023