GGIT 500 M.S. Thesis

Research program leading to M.S. degree. An advisor and an co-advisor is appointed from two of the contributing departments during the first semester. The students register to this course every semester starting from their second semester.

GGIT 501 Geodesy and Map Projections

Introduction to Coordinate Systems and Coordinate Transformation, Description of the Earth’s Gravity Field, the Geodetic Earth Model, Methods of Measurement (Atmospheric Refraction, Satellite Observations, Geodetic Astronomy, Gravimetry, Terrestrial Geodetic Measurements), Methods of Evaluation (Positioning and Gravity Field Determination), Geodetic and Gravimetric Networks, Structure and Dynamics of the Earth, Introduction to Map Projections and their Classification, Projections used in State Plane Coordinate Systems.

GGIT 530 Advanced GIS

This course uses and extends concepts from the introductory GIS course. It explores advanced problems and techniques in GIScience. Topics include, layer overlays, distance measurements and transformation, data management, geodatabase design, spatial analysis, data quality, error, accuracy and precision. Handling error and uncertainty in GIS is discussed. ESRI ARCGIS products are used and every student is responsible to prepare a project using the GIS functions discussed in the course and present it at the end of the semestre.

GGIT 531 Project Design in GIS

Formulation of project. Literature review and determination of data requirement. Collection of data. Presentation of data in GIS format.

GGIT 532 GIS and RS in Disaster Management

Principles of disaster management. Geographical Information Systems. Remote Sensing. Landslides. Floods. Snow and Avalanches. Earthquakes. Forest Fires. Usage of GIS and RS in natural disaster management.

GGIT 535 Special Topics in Information Systems for Natural Resource Management

In this course the principles presented in introductory and advanced GIS courses will be applied in the environment of natural resource management problems and organizations. The course therefore combines elements of system development with application areas. It provides principals of seamless raster data architectures, raster-vector database integration, decision support system and management information, AM/FM (Automated Mapping and Facility Management), some models and techniques, which can be used for resource management problems.

GGIT 537 Statistical Techniques in Geographical Analysis

Descriptive statistics of geographical data. Measurement Scales. Probability theory. Discrete and continuous probability distributions used in geography. Statistical inference, hypothesis testing and sampling for spatial data. Parameter estimation, correlation and regression analysis of geographical data. Introduction to Spatial Statistics

GGIT 538 Spatial Data Analysis

Introduction to spatial data analysis. Problem types in spatial data analysis. Point pattern analysis. Analysis of continuous spatial data. Spatial analysis of area data. Spatial modeling. Visualization of spatial data.

GGIT 560 Principles of Remote Sensing

Physical bases of remote sensing; photographic systems; thermal, multispectral, hyperspectral and microwave sensing; space borne sensors and platforms; fundamentals of processing and analyzing multispectral remotely sensed images, data integration.

GGIT 561 Digital Image Analysis

Fundamental digital processing and analysis techniques for multispectral remotely sensed images; Digital Image Analysis Systems (DIAS), Tematic information extraction techniques from remotely sensed data, Practical exercises on DIAS.

GGIT 562 Integration of Remote Sensing and GIS

Fundamental concepts of integrating remote sensing and Geometric Information Systems (GIS); the essentials of using ancillary data in the analysis of remote sensing images. The use of remotely sensed data in GIS analysis operations. The levels and technical impediments of the integration; the required interface functions and error sources.

GGIT 563 Microwave Remote Sensing

In this course the principles and the applications of both passive (radiation) and active (radar) microwave remote sensing are presented. The physical radiation principles for remotely measuring surface processes, plane waves, polarization, dielectric properties of manner, scattering, absorbtion are discussed in detail. The course will enhance the knowledge of students to understand microwave remote sensing systems, identify tradeoffs and sensor capabilities. Several lab. exercises are provided concerning the use of passive (SSM/I) and active (SAR) microwave data. Therefore at the end of the course the student is expected to have experience in interpreting the microwave images

GGIT 590 Seminar

Representation of topics of general interest, as well as the current research by the graduate students are the main lines of the seminar program.

CE 413 Introduction to GIS

The course provides the students with the fundamental concepts of the Geographic Information Systems and familiarize them with a GIS software by hands-on experience. It covers: the map as a spatial database, nature of GIS, data input and output, database management systems, representation and organization of spatial data, spatial data analysis.

CE 509 Space Geodesy I

The objective is to provide the necessary background in modern space methods, and familiarize the graduate students with recent research areas in space geodesy with particular emphasis on the positioning, navigation, orbit and gravity field determination.The proposed graduate course gives students basic knowledge in space geodesy to be able to follow advanced research areas at the frontline of modern satellite geodesy. MATLAB will be used as a tool so that students will develop skills to generate the corresponding relevant software.

CE 510 Space Geodesy II

CE 511 Photogrammetry and Air Photo Interpretation

Elementary Photogrammetry, photogrammetric sensing system, mathematical concept in photogrammetry (relative orientation, absolute orientation, satellite imagery and orbits, block adjusment), digital photogrammetry (digital imagery, digital image processing, digital image resampling, digital image compression, digital image measurement, computer vision, digital image measurement), close range photogrammetry, analysis of multispectral and hyperspectral image data, fundamentals of active sensing systems( Radar and SAR and LIDAR), Lab: digital camera calibration.

CE 515 Adjustment of Observations

Methods of estimating parameters, Law of covariance propagation, correlation, Gauss-Markoff Model, Gauss-Markoff Model with constrains, recursive parameter estimation and Kalman filtering (i.e. orbit determination), Gauss Markoff model not of full rank (i.e. free network adjusment), special Gauss Markoff models, generalized linear models ( regression model, mixed model (i.e. determination of the density anomalies in a bounded region of the earth's crust) , model of the adjusment with condition equations, prediction and filtering (i.e. , generation of digital terrain models), collocation, multivariate parameter estimation (i.e. deformation analyses), hypothesis testing, interval estimation and test for outliers in observations.

GEOE 528 Remote Sensing

Principles of Remote Sensing applications. Instrumentation. Multispectral image acquirements. Photo image analysis methods. Automation of natural resources evaluation. Aircraft program. Space program. Utility of Remote Sensing data.

CENG 302 Introduction to Database Management Systems

Introduction to DBMSs, Relational Databases, relational Algebra, SQL, Entity Relationship Model. Theory of Database Design, Physical Database Design, Example DBMS.

IS 503 Database Concepts and Applications

Introduction to database concepts: data abstraction/ independence, data models (Entity-Relationship Model, Enhanced Entity-Relationship Model, Object Oriented Model, relation/ network/ Hierarchical model), database languages (DDL, DML), database administrator/ user. Storage and File Structures. Indexing and Hashing. Relational Model: formal query languages (Relational algebra, Relational calculus), commercial query languages (SQL). Relational database design: integrity constraints, database dependencies, normal forms. Transaction processing, concurrency control and recovery techniques.