Curriculum

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.

ES 201 Advanced Mathematical Methods in Engineering I

Application of Fourier series, special functions and integral transforms to the solution of boundary and initial value problems in engineering. Prereq: ES 21/equiv. (3h lec). 3 u.

ES 202 Advanced Mathematical Methods in Engineering II

Advanced Mathematical Methods in Engineering II. Applications of vector analysis, curvilinear coordinates, and conformal mapping to the solution of engineering problems. Prereq: ES 21/equiv. 3 u.

ES 204 Numerical Methods in Engineering

Roots of single equations, systems of linear and non-linear equations; ordinary differential equations; partial differential equations; applications. Prereq: ES 26/equiv. (3h lec). 3 u.

IE 230 Statistical Design and Analysis for Engineers

Sampling and sampling distributions, estimation and hypothesis testing, analysis of variance, factorial designs, randomized blocks, latin squares and related designs, fractional replication and confounding nested or hierarchical designs, regression analysis, response surface methodology, analysis of covariance. Prereq: IE 28/equiv. (3h lec). 3 u.

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.

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.

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.