. "Geographic Information Science"@en . . "Remote Sensing"@en . . "English"@en . . "Geographic information systems (gis) and science"@en . . "6" . "Methods and techniques of Geographic Information Systems (GIS) and Science (GIScience) relevant to Geoinformatics and Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) develop geodatabases within a GIS, (2) analyse spatial data within a GIS, (3) create meaningful representations for communicating data and analytical results within a GIS." . . "Presential"@en . "TRUE" . . "Geospatial data acquisition"@en . . "6" . "Introduction to advanced geospatial data acquisition via terrestrial, airborne, and space-based methodologies, referencing and management of geoinformation. Student understanding of geospatial data acquisition, coordinate reference systems and frames, and management of geoinformation via programming techniques. Upon completion of this course, it is expected that the learner will be able to: (1) recognise and discriminate terrestrial, airborne and satellite data acquisition methodologies, (2) classify and appraise national, regional and terrestrial coordinate reference systems (CRS) and transformation processes, (3) organise heterogeneous geospatial information by means of high-level programming languages, such as Python." . . "Presential"@en . "TRUE" . . "Remote sensing and earth observation"@en . . "6" . "Principles of remote sensing, image processing, and trends in earth observation. Upon completion of this course, it is expected that the learner will be able to: (1) show a deeper understanding of theory and practice of remote sensing, (2) comprehend the information content of remotely sensed data and means for retrieving that information, (3) decide which remote sensing techniques suit specific needs." . . "Presential"@en . "TRUE" . . "Digital Imaging, photogrammetry & computer vision"@en . . "6" . "Familiarization with basic principles of photogrammetry and computer vision techniques, along with their applications in data gathering using cameras and image processing. Upon completion of this course, it is expected that the learner will be able to: (1) relate photogrammetric data in a cartographic production process, (2) predict the quality of photogrammetric processes and products, as well as prioritize the influence of variables in the final product quality, and (3) use digital photogrammetric systems." . . "Presential"@en . "TRUE" . . "Research methods: geoinformatics & earth observation"@en . . "6" . "Selection of Geoinformatics or Earth Observation subfield for the master’s thesis and critical review of relevant literature. Upon completion of this course, it is expected that the learner will be able to critically review pertinent literature (Greek and English) in Geoinformatics or Earth Observation, as well as develop research questions and hypotheses." . . "Presential"@en . "TRUE" . . "Geospatial data science"@en . . "6" . "Methods and techniques of geospatial data science and its role in Geoinformatics and Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) identify core methods of different disciplines contributing to spatial data science, (2) select and employ the most appropriate analytical methods depending on the research question and the type of geospatial data required to address that question, (3) Synthesize and present high-quality analytical results involving spatial data." . . "Presential"@en . "TRUE" . . "Earth observation for environmental monitoring"@en . . "6" . "Principles of earth observation for environmental monitoring, satellite imagining sensors, remote sensing, image processing and the trends for environmental monitoring. Upon completion of this course, it is expected that the learner will be able to: (1) demonstrate the ability to complete an independent, in-depth, thorough and systematic study related to: Climate Change Monitoring, Water Resource Management, Disaster Risk Reduction, Access to Energy and Big EO Data Analytics, (2) interpret and evaluate conclusions from data analysis, and develop results validated through a sound research methodology, (3) prioritise and critically assess earth observation sensors and space-based solutions for environmental applications." . . "Presential"@en . "TRUE" . . "Space-based positioning and deformation monitoring techniques"@en . . "6" . "Ways in which Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), GNSS augmentations, and integrated mapping and positioning platforms contribute to multidisciplinary fields. Space-based deformation monitoring techniques using GNSS and SAR. Application of GNSS, and alternative methodologies to position, navigate, map and analyze physical or man-made features and processes. Upon completion of this course, it is expected that the learner will be able to: (1) assess and apply available GNSS positioning methodologies and the underlying mathematical models, (2) determine errors and biases that affect positioning and navigation performance, (3) discriminate between different GNSS augmentations, (4) categorise and assess SAR techniques for deformation monitoring, (5) select the appropriate techniques and methods for applications, such as Geodynamics, Structural Engineering, Meteorology, Hydrography, Transportation." . . "Presential"@en . "TRUE" . . "Special topics in gis"@en . . "6" . "Specialization in Geoinformatics and presentation of advanced applications of Geographic Information Systems and Science. Upon completion of this course, it is expected that the learner will be able to (1) collect, manage and analyse geospatial data for a variety of applications, (2) evaluate state-of-the-art methods and technologies in Geographic Information Systems and Science for selected application domains" . . "Presential"@en . "FALSE" . . "Special topics in earth observation"@en . . "6" . "Advanced remote sensing technologies and their use in natural and build environment. Learn, critically assess, implement and evaluate a variety of image processing algorithms for satellite datasets. Upon completion of this course, it is expected that the learner will be able to show expertise in advanced optical satellite remote sensing applications." . . "Presential"@en . "FALSE" . . "Special topics in earth data analytics"@en . . "6" . "Specialization in Earth Data Analytics and its applications in Geoinformatics and Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) critically evaluate methodological and practical advantages and disadvantages of analytical methods discussed in the module, (2) select appropriate methods for solving real-world geographical problems." . . "Presential"@en . "FALSE" . . "Specialization: geoinformatics & earth observation"@en . . "6" . "Specialization in a subfield of Geoinformatics or Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) critically review existing literature in a subfield of Geoinformatics or Earth Observation, (2) develop research questions and hypotheses, (3) use geoinformatics or Earth Observation in a small-project setting." . . "Presential"@en . "TRUE" . . "Master of Geoinformatics and Earth Observation"@en . . "https://www.cut.ac.cy/faculties/fet/ceg/programs-of-study/postgraduate/msc-geoinformatics/" . "102"^^ . "Presential"@en . "The master’s program “Geoinformatics and Earth Observation” constitutes a competitive program of international standards, which: (a) provides the opportunity for specialization and knowledge expansion in Geoinformatics, cutting edge Geospatial Technologies and Earth Observation, (b) promotes high-quality research in the fields of Geoinformatics, Geospatial Technologies and Earth Observation (c) provides the opportunity to come across with high-level and high-quality research funded activities such as the EXCELSIOR H2020 TEAMING Project (d) prepares students towards the continuation of their education at a PhD level (e) equips students with additional qualifications and skills related to Geoinformatics, Geospatial Technologies and Earth Observation in order to seek employment with greater competence in the public or private sector, (f) provides the opportunity to employees already working in the public or private sector to continue their education in a graduate level, thus offering professional advancement opportunities."@en . . . "1"@en . "FALSE" . . . "Master"@en . "Thesis" . "not informative" . "not informative"@en . "not informative" . "None" . "Geoinformatics and Remote Sensing synthesize aspects of various scientific fields, as well as associated methods and techniques, including Geodesy, Geophysics, Geographic Information Systems, Photogrammetry, Information Science, Geomathematics, Geostatistics, which are employed in all stages of collection, storage, management, analysis and dissemination of geographic information. Geoinformatics support a wide range of social and environmental decisions, both in the private and public sectors. There is, however, a continuous need for training and specialization of scientists and engineers capable of addressing the increasing requirements of society related to collecting, managing and analyzing geospatial information, the volume of which increases with unprecedented pace."@en . "2"^^ . "FALSE" . "Downstream"@en . . . . . . . . . . . . . . "Greek"@en . . "Faculty of Engineering and Technology"@en . .