Prof. Dr.-Ing. Cornelia Eschelbach

Professor for Surveying and Applied Geodesy

Transfer centre

Transfer Centre for Applied Geodesy in the Steinbeis Network
http://applied-geodesy.org

About Prof. Dr.-Ing. Eschelbach

Appointment as Professor

Since August 2010 Professor of Surveying and Applied Geodesy at Frankfurt University of Applied Sciences

Doctorate

Doctorate on 09.07.2008 on the topic: "Refraction correction determination by modeling the momentum and heat flux in the roughness layer" at the University of Karlsruhe

Studies

Studies in surveying 1997 - 2002 at the University of Karlsruhe

Teaching

I offer courses in the following study programmes:

Frankfurt University of Applied Sciences

  • Statistical analysis (geodata management - formerly: Geoinformation and municipal engineering, B.Eng.)

Probability analysis, normal, t, Chi² and F distribution, samples and their parameters, confidence interval, correlation, regression, significance test, parameter estimation, least squares method, mediated adjustment (GMM)

  • Spatial reference (geospatial data management - formerly: Geoinformation and municipal engineering, B.Eng.)

Coordinate systems, reference systems in position and height, reference surfaces, transformations, tacheometry, network measurement and network evaluation, planning and staking (routing)

  • Elective subject Engineering surveying (geodata management - formerly: Geoinformation and municipal engineering, B.Eng.)

Measurement monitoring of the Kinzig Dam, offered only in summer semester

  • Geodetic sensors (geodata management - formerly: Geoinformation and municipal engineering, M.Eng.)

Basics of engineering surveying; planning, execution and evaluation of monitoring measurements; functionality and use of sensors for the determination of small-scale spatial changes, e.g. polar measurement systems, strain gauges, inductive displacement transducers, fiber optic sensors; operation and use of sensors to measure small-scale changes in slope, e.g., pendulum systems, fluid sensors; operation and use of sensors to measure environmental parameters, e.g. Air temperature, air pressure

  • Data analysis (geospatial data management - formerly: Geoinformation and municipal engineering, M.Eng.)

Parameter estimation by least squares method (Gauss-Markov model, Gauss-Helmert model); consideration of restrictions; evaluation of adjustment results (e.g. model errors and gross errors, variance component estimation, deformation analysis)

Technical University of Darmstadt

  • Engineering geodesy (Industrial measurement technology, geodesy and geoinformation, B.Sc.)

All materials for my courses will be made available to you via the Moodle platform. You will receive the password to the individual courses on the first date of the respective lecture course and/or  later in the message forum of the general GeKo Moodle course.

Research

Parameter estimation (network adjustment, control geometries), application of GUM (Guide to the Expression of Uncertainty in Measurement; DIN V ENV 13005) and Monte Carlo simulation

Process analysis and process optimisation in the field of large volume metrology (laser tracker Leica AT401) and industrial metrology

Go to the website of the Laboratory for Industrial Metrology ...

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last updated on: 05.23.2022