Curriculum
Core Courses
Contain the main topics in M.S. Geomatics Engineering that all students are required to take.
GmE 202: Principles of Remote Sensing
Physical and mathematical principles of data extraction and analysis involving remotely-sensed visible,
infrared, thermal and radar imagery. Introduction to image processing. Prereq: COI. 5 h. (2h lec, 3h lab) 3
u.
GmE 203: Principles of Geographic Information Systems
Use of analogue and digital techniques in spatial information collection, storage and analysis. Various
geographic information systems. Map projection and registration of data sets. Prereq: COI. 7 h. (1h lec, 6h
lab) 3 u.
GmE 205: Object-Oriented Programming for Geomatic Applications
Nature of digital image and other geographic data. Computer systems used in reading, analyzing and
displaying these data. Numerical and statistical techniques. Spatial data analysis. Prereq: COI. 5 h. (2h
lec, 3h lab). 3 u.
Common Courses
Provide a means for discussion of related topics between the different fields of specialization.
For All Fields of Specialization
GmE 202: Principles of Remote Sensing
Physical and mathematical principles of data extraction and analysis involving remotely-sensed visible,
infrared, thermal and radar imagery. Introduction to image processing. Prereq: COI. 5 h. (2h lec, 3h lab) 3
u.
GmE 203: Principles of Geographic Information Systems
Use of analogue and digital techniques in spatial information collection, storage and analysis. Various
geographic information systems. Map projection and registration of data sets. Prereq: COI. 7 h. (1h lec, 6h
lab) 3 u.
GmE 205: Object-Oriented Programming for Geomatic Applications
Nature of digital image and other geographic data. Computer systems used in reading, analyzing and
displaying these data. Numerical and statistical techniques. Spatial data analysis. Prereq: COI. 5 h. (2h
lec, 3h lab). 3 u.
For Geoinformatics and Remote Sensing
Stat 276 Statistics for Geographic Information Systems
Components of a geographical information system, data structures and elements of spatial modeling;
exploratory spatial data analysis; quadrat analysis, tesselations and spatial autocorrelation; spatial
modeling and prediction; some sampling theory; applications. Prereq: COI. (3h lec). 3 u.
Stat 277 Statistics for Image Analysis
Radiometric enhancement techniques; geometric enhancement using image domain techniques; multispectral
transformation of data; supervised classification techniques; clustering and unsupervised classification;
applications. Prereq: COI. 3 u.
For Remote Sensing and Applied Geodesy
GmE 211 Satellite Geodesy
Theory and applications of modern satellite geodesy; theory and applications of satellite positioning,
particularly in a geodetic context. Specific topics include: time systems, orbit computation, geodetic datum
definition and coordinate systems, introduction to satellite positioning, error modeling, practical
applications and considerations, data processing strategies, heights from GPS and geoid modeling and recent
developments in satellite geodesy. Prereq: COI. 5 h (2 lec, 3 lab). 3 u.
GmE 216 Field Techniques in Applied Geodesy and Remote Sensing
Field techniques for analysis, modeling and accuracy assessment in remote sensing and geographic information
systems. Application in resource mapping, monitoring and prediction. Prereq: GmE 202, GmE 211. 7 h (1 lec, 6
lab). 3 u.
For Geoinformatics and Applied Geodesy
GmE 210 Spatial Visualization
Theory and application of both abstract and realistic visualization in two, three, and four dimensions.
Color theory; communication theory; cartography; map animation; hypermapping; environmental visualization;
and augmented reality; three-dimensional modeling and transformations; perspective; hidden surface
algorithms; illumination models; texture mapping; ray tracing; animation; applications of scientific and
environmental visualization for planning and management in built and natural environments. Prereq: GmE 203.
5 h (2 lec, 3 lab). 3 u.
GmE 217 Cadastral Data Management
Introduction to Land Administration; Land Policy; Land Tenure and Security; Legal Aspects; Land Registration
and Cadastre; Land Reform; Spatial Data Infrastructure; Land Information Systems; ICT and Land
Administration; Information system modeling- UML Cadastral data analysis and modeling; Core Cadastral Domain
Model; Marine cadastre; Property valuation and taxation. Prereq: GmE 203. 5 h (2 lec, 3 lab). 3 u.
Specialization Courses
Click the button corresponding to each MS GmE specialization to see courses under them.