Found 20 relevant results in 3.24s where lecturer="Konrad Schindler"
Introduction to mathematical and statistical tools for geospatial data analysis.
Photogrammetry II
Photogrammetrie II
This course covers advanced topics of aerial photogrammetry not treated in the basic course "Photogrammetrie".
Current research in machine learning and data science within the research fields of the department. The goal is to learn about current research projects at our department, to strengthen our expertise and collaboration with respect to data-driven models and methods, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
Field course with practical geodetic projects (3 weeks)
Introduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study.
Application of photogrammetry and remote sensing methods for mapping and Earth observation.
Image Processing
Bildverarbeitung
Introduction to basic concepts and methods of digital image processing.
The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
This course introduces contact and non-contact techniques for 3D coordinate, shape and motion determination as used for 3D inspection, dimensional control, reverse engineering, motion capture and similar industrial applications.
Introduction to statistical modelling and machine learning.
Multivariate Statistics and Machine Learning
Multivariate Statistik und Machine Learning
Introduction to statistical modelling and machine learning.
Photogrammetry
Photogrammetrie
The class conveys the basics of photogrammetry.
The class conveys the basics of photogrammetry. It shall equip students with basic knowledge of the principles, methods and applications of image-based measurement.
Project Work Geospatial Engineering
Projektarbeit Raumbezogene Ingenieurwissenschaften
This project-based course offers students an insight into a selected challenge from the field of Geospatial Engineering. In addition to methodological and subject-specific competencies—depending on the chosen project—the course also fosters a variety of transferable skill such as teamwork, critical and scientific thinking, as well as competencies in writing and presenting