The general objectives are multiple: On the one hand, students learn the basic concepts / principles of Geodesy and on the other hand, the acquisition of practical knowledge (through laboratory exercises), in order to acquire important skills for applying their knowledge. At the same time, current technologies and future trends are presented, so that the students become aware of modern applications. The indirect goal of the course is for the student to acquire a methodological ability to discover innovative knowledge for Geodesy.
Knowledge
Skills
Competences
General skills
The course’s content is designed so that the students can deepen in the basic concepts of the science of Geodesy which were presented in the course “Topography-Geodesy”. Elaborated case studies are presented, such as open and closed traverse methods, photogrammetry methods, etc. An integrated semester exercise is assigned to groups of students. The course consists of the following 13 lectures:
Lecture 1: Introduction / Reference ellipsoids / Cartographic projections
Lecture 2: Introduction to small area Surveying
Lecture 3: Network hierarchy and classification I
Lecture 4: Network hierarchy and classification II
Lecture 5: Network hierarchy and classification III
Lecture 6: Height measurement and the levelling instrument
Lecture 7: Topographic surveying: from terrain to map
Lecture 8: Construction surveying
Lecture 9: Greek Cadastral system
Lecture 10: Digital Terrain Models
Lecture 11: Levelling methods
Lecture 12: Modern advances in Geodesy / GPS
Lecture 13: Laboratory exams
Evaluation Criteria | Determination of weight |
Semester project | 100% |
The evaluation criteria are accessible to students from the course’s website and are announced repeatedly in both lecture lectures and laboratory courses. During the semester, students are informed about the grades/scores of the laboratory exercises through the e-class platform.
Transparency in evaluation is ensured in the following ways:
Pedion Areos, 383 34, Volos
+30 24210 74452-55
+30 24210 74380
g-prd@prd.uth.gr