TOPOGRAPHY
cod. 13173

Academic year 2024/25
2° year of course - First semester
Professor
Riccardo RONCELLA
Academic discipline
Topografia e cartografia (ICAR/06)
Field
Ingegneria ambientale e del territorio
Type of training activity
Characterising
72 hours
of face-to-face activities
9 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives


The course aims to provide knowledge and skills in the field of topographic survey for cartographic purposes, control and testing. To this end, the student will apply the knowledge acquired, individually and in groups, both through numerical exercises and by carrying out a topographic survey in groups.
At the end of the course, therefore, the student is expected to:
 know the types and characteristics of measurement errors;
 can evaluate the order of magnitude of the results of a topographic calculation;
 can calculate the precision of quantities calculated from measured quantities;
 knows the fundamentals for designing a control network (from the choice of instruments to the simulation of the expected precision)
 know and know how to apply methods for verifying the tolerances of a survey (in particular of leveling nets)
 know and know how to apply statistical tests to verify hypotheses on the movements over time of controlled points.
 can carry out group activities including both the preparation of spreadsheets and instrumental surveying activities in the countryside with calculation of coordinates, compensation of measurements, presentation of results in graphical form and summary technical report

Prerequisites

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Course unit content


Surveys determine the position of points w.r.t. the Earth surface in a geodetic datum
with controlled accuracy. Surveys are needed to produce technical maps,
control displacements and deformation of large structures, vertical and
horizontal terrain movements, in road construction.
Geodesy and Reference systems.
Surveying basic concepts. Geoid and Ellipsoid. Reference systems,
coordinate systems, geodetic datum. Coordinate transformation and
datum transformation. Elements of geodesy.
Cartography
Classification of map projections. Gauss projection and its use in geodetic
computations. UTM projection. Map production in Italy at different map
scales. Cadastral maps.
Error theory and statistical analysis of data.
Errors. Probability and random variables. Error propagation law. Error
ellipse. Inference: parametric tests and confidence interval. Least
squares adjustment of observations. Tests on standardized residuals and
significance of parameters. Measurement reliability.
Surveying instruments and surveying methods.
Total stations, levels; measurement of angles, distances, height
differences.
Geodetic and topographic networks.
Observation equations of horizontal and height networks. Network
simulation and adjustment. Georeferencing and co-registration of
networks.
GPS.
System description. Pseudo-range and phase observations. Systematic
errors and modeling techniques. Accuracy of absolute, relative and
differential positioning in kinematic and static surveys. Network design.
ITRF and ETRF frames and trasformation to national datum and
orthometric heights. Networks of GPS permanent stations.
Application of Surveying to civil engineering
Use of maps in engineering projects. Road construction and building
construction surveys. Deformation and displacement monitoring in
building, bridges; landslides displacement control

Full programme

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Bibliography

Recommended texbooks (GPS only)
B. Hofmann-Wellenhof, H. Lichtenegger and J. Collins Global positioning system : theory and practice – Available in the Biblioteca politecnica di Ingegneria e Architettura.
Alfred Leick, GPS satellite surveying. Available in the Biblioteca politecnica di Ingegneria e Architettura.

Course material (slides of the lectures, lecture notes on statistical data analysis, exercices, etc.) can be found in the e-learning platform Elly, http://elly.dia.unipr.it under TOPOGRAFIA course. Registration mandatory.

Teaching methods


Lectures, possibly with questions to the audience. Numerical exercises always follow the theory; sometimes the solution of a standard exercise is first illustrated and commented, sometimes students are left to themselves to find how to apply the theory to solve the problem.
The ratio between hours of frontal lesson and exercise is approximately 2:1, excluding the hours dedicated to the illustration of the instruments.
Space is also given to activities in groups, in the control survey project and in the survey in the countryside. In this case one or more frontal lessons or practical demonstrations illustrate the motivations and problems of the topic to be addressed. The groups work autonomously and can communicate with the teacher in case of need; as a rule, the teacher supervises the initial phases of the survey in the countryside. The solution of the numerical tasks and questions is usually illustrated in the classroom or through the publication on the Elly platform of the exercise resolved. The evaluation criteria for the group work are explained in the presentation of the objectives; the evaluation of the reports and results is discussed at the discretion of the groups.

Assessment methods and criteria

The examination can be either by in-progress tests or by an oral examination at the end of the semester and homework and teamwork in the field survey.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.ingarc@unipr.it 

Quality assurance office

Quality Assurance Manager:
Jasmine Salame Younis
T. +39 0521 906045
E. office dia.didattica@unipr.it
E. manager jasmine.salameyounis@unipr.it

Course President

Prof. Andrea Zanini
E. andrea.zanini@unipr.it

Faculty advisor

Prof. Luca Chiapponi
E. luca.chiapponi@unipr.it

Prof.ssa Alice Sirico
E. alice.sirico@unipr.it

Carrier guidance delegate

Prof. Andrea Segalini
E. andrea.segalini@unipr.it

Tutor Professors

Prof. Andrea Maranzoni
E. andrea.maranzoni@unipr.it

Erasmus delegates

Prof.ssa Patrizia Bernardi
E. patrizia.bernardi@unipr.it
Prof.ssa Elena Romeo
E. elena.romeo@unipr.it

Quality assurance manager

Prof. Andrea Segalini
E. andrea.segalini@unipr.it

Tutor students

Matteo Pianforini
E. matteo.pianforini@studenti.unipr.it