SURVEYING NETWORKS AND COMPUTATIONS

Course Information
TitleΤΟΠΟΓΡΑΦΙΚΑ ΔΙΚΤΥΑ ΚΑΙ ΥΠΟΛΟΓΙΣΜΟΙ / SURVEYING NETWORKS AND COMPUTATIONS
CodeΑ03
FacultyEngineering
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorChristoforos Kotsakis
CommonNo
StatusActive
Course ID20000860

Programme of Study: UPS of School of Rural and Surveing Engineering

Registered students: 134
OrientationAttendance TypeSemesterYearECTS
CoreCore Courses534

Class Information
Academic Year2014 – 2015
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
20052044
Course Type 2016-2020
  • Background
  • General Knowledge
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Linear algebra and matrices, Basic principles from statistics theory, Least-squares adjustment, Surveying, Coordinate systems and reference frames.
Learning Outcomes
1) Theoretical and practical treatment of basic least-squares adjustment problems in various types of surveying networks. 2) Quality analysis in surveying networks, including statistical testing and accuracy evaluation of the adjustment results. 3) Design and optimization of surveying networks based on given quality standards.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Advance free, creative and causative thinking
Course Content (Syllabus)
1) Review of Least-Squares Adjustment Theory 2) Introduction to Networks 3) Observable types and Data pre-processing 4) Observation equations in surveying/geodetic networks and their linearized forms 5) Normal equations and the rank-defect problem 6) Algorithmic techniques for network adjustment problems 7) Accuracy evaluation and reliability analysis 8) Coordinate transformations in surveying/geodetic networks 9) Network design and optimization
Educational Material Types
  • Notes
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures42
Tutorial10
Total52
Student Assessment
Description
Final Exam.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
1) Τοπογραφικά Δίκτυα και Υπολογισμοί, Δ. Ρωσσικόπουλος, Εκδ. Ζήτη. 2) Τοπογραφικοί Υπολογισμοί και Συνορθώσεις Δικτύων (ανάλυση προγραμμάτων και παραδείγματα), Α. Δερμάνης, Δ. Ρωσσικόπουλος, Α. Φωτίου, Εκδ. Ζήτη.
Additional bibliography for study
1) Strang G., Borre K. (1997) Linear algebra, Geodesy and GPS. Wellesley-Cambridge Press, Wellesley, MA. 2) Ghilani C.D. (2010) Adjustment computations & spatial data analysis. John Wiley & Sons, Inc., Hoboken, New Jersey. 3) Kuang S. (1996) Geodetic network analysis and optimal design: concepts and applications. Ann Arbor Press, Ιnc. Chelsea, Michigan. 4) Leick A. (2004) GPS satellite surveying. John Wiley & Sons, Inc., Hoboken, New Jersey. 5) Grafarend E.W., Sanso F. (eds. 1985) Optimization and design of geodetic networks. Springer-Verlag, Berlin Heidelberg.
Last Update
23-08-2013