| |
2nd Year Courses
There is no 2nd year course.
3rd Year Courses
There is no 3rd year course.
4th Year Courses
| CE 413 Introduction To Geographic Information Systems |
| (3 credits, offered in Fall & Spring Semester) |
Introduction to Geographic Information Systems (GIS), basic GIS components, GIS technology, data acquisition, data structures, databases, database systems and concepts, vector and raster GIS systems, GIS applications, error and uncertainty.
|
| CE 411 Advanced Surveying And Geodesy |
| (3 credits, offered in Fall Semester) |
Earth's gravity field and natural coordinate systems. Differential geometry of ellipsoidal datum: first and second fundamental forms, normal sections, normal and principle curvatures. Least square adjustment: Indirect model, observation equations, covariance law, adjustment calculations. Geodetic vertical control, precise leveling. Terrestrial methods of relative positioning: trilateration and precise traverse. Reduction of observations. Introduction to Global Positioning Systems (GPS).
|
|
Prerequisite(s) : CE 303,CE 305
|
| CE 414 Physical Geodesy |
| (3 credits, offered in Fall Semester) |
Review of potential theory: Vector fields, curvilinear coordinate systems, Laplace equation, boundary value problems, Green's identities. Geodetic boundary value problems, Stoke's and Vening-Meinesz's integrals. Gravity measurements and reductions: Free air, Bouguer and isostatic gravity anomalies. Practical methods of geoid computation: Quadrature and integral transform techniques. Combination of satellite and terrestrial data for geoid determination.
|
|
Prerequisite(s) : CE 303,CE 305
|
Graduate Courses
| CE 515 Adjustment Of Observations |
| (3 credits, offered in Fall Semester) |
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.
|
Instructor :Mahmut Onur Karslioglu
|
| CE 509 Space Geodesy I |
| (3 credits, offered in Fall Semester) |
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. |
Instructor :Mahmut Onur Karslioglu
|
| CE 510 Space Geodesy I I |
| (3 credits, offered in Fall Semester) |
Review of observation methods of space geodesy. GPS (Global Positioning
System) and GLONASS (Russian navigation system): Satellite motion and
broadcast ephemeris, mathematical models and biases in GPS, point and
relative positioning using pseudo-ranges and carrier beat phase
observations. Integration of GPS and INS (Inertial Navigation System). A
brief introduction to other relevant space geodetic methods: VLBI (Very
Long Baseline Interferometry), SLR (Satellite Laser Ranging), Satellite
Altimetry, Satellite Gradiometry, InSAR (Interferometric Synthetic
Aperture Radar). Basic continuum mechanics. Geodetic monitoring and
mechanical modeling of geodynamical phenomena. |
Instructor :Mahmut Onur Karslioglu
|
| CE 511 Photogrammetry And Airphoto Interpretation |
| (3 credits, offered in Spring Semester) |
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. |
Instructor :Mahmut Onur Karslioglu
|
Today's Visitors: 7
Total Visitors: 17,803
Total Hits: 36,217
|
 |
