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CEE Core Courses
- CIVE 6358: Deep Learning for Engineers (3 cr)
- CIVE 6359: SAR Remote Sensing in Geosciences (3 cr)
- CIVE 6374: Digital Image Metrology (3 cr)
- CIVE 6376: Physical Geodesy (3 cr)
- CIVE 6380: Introduction to Geomatics and Geosensing (3 cr)
- CIVE 6382: Lidar Systems and Applications (3 cr)
- CIVE 6384: Satellite Altimetry and Interferometric Synthetic Aperture Radar (3 cr)
- CIVE 6393: Geostatistics (3 cr)
- CIVE 7342: Engineering Geographic Information Systems (3 cr)
- CIVE 7380: GNSS/INS and Augmented Systems for Positioning and Navigation (3 cr)
- CIVE 7397: Applied Geospatial Computations (3 cr)
ECE Core Courses
- ECE 6337: Stochastic Processes in Signal Processing and Data Science (3 cr)
- ECE 6342: Digital Signal Processing (3 cr)
- ECE 6364: Digital Image Processing (3 cr)
- ECE 6397: Sparse Representation for Signal Processing (3 cr)
EAS Core Courses
- GEOL 6323: Geoscience Applications of GPS and Lidar (3 cr)
- GEOL 6324: Satellite Positioning and Geodesy (3 cr)
- GEOL 6325: Remote Sensing (3 cr)
- GEOL 6388: Geospatial Analysis and Applications (3 cr)
Short Course Descriptions
- CIVE 6358: Deep Learning for Engineers
Deep learning methods have had tremendous success in a wide variety of applications including self-driving, infrastructure inspections, design optimization, robotic navigation, and solving differential equations. This course is aimed at providing engineering students with a hands-on introduction to fundamental concepts in deep learning along with a perspective on how to apply these concepts to some domain specific examples.
- CIVE 6359: SAR Remote Sensing in Geosciences
Understand fundamental principles of Synthetic Aperture Radar (SAR). Gain hands-on experience on SAR capability configuration, image selection, error identification and correction, etc. Apply and develop scripts to obtain surface displacements using spaceborne and airborne SAR imagery.
- CIVE 6374: Digital Image Metrology
Optics and Sensors, image measurements and optical distortion, interior, exterior and absolute image orientation. Collinearity, resection and intersection equations and aero-triangulation. Principles of direct georeferencing. Bundle adjustments, datum definitions and image self-calibration. Structure from motion and semi-global matching.
- CIVE 6376: Physical Geodesy
Classic potential theory; Earth's gravitational field and reference fields; gravity anomalies and disturbing potential; gravity reduction; geoid determination.
- CIVE 6380: Introduction to Geomatics and Geosensing
Introduction to horizontal and vertical curves computations; fundamentals of geodesy, geodetic reference systems, and map projections; introduction to GPS; principles of lidar technology; digital imaging and mapping.
- CIVE 6382: Lidar Systems and Applications
Principles of lidar; spaceborne, airborne topographic, bathymetric, mobile terrestrial, and static lidar systems; full-waveform lidar; boresight calibration; filtering and classification; multi-sensor fusion.
- CIVE 6384: Satellite Altimetry and Interferometric Synthetic Aperture Radar
Radar measurement principles; range estimation and corrections; precise orbit determination; applications in geodynamics, ocean and ice surface monitoring, and hydrology; formation of SAR images; procedures of InSAR.
- CIVE 6393: Geostatistics
Characterization of spatial and spatiotemporal datasets; random variables; probability and statistics; parameter estimation; inferential statistics; time series analysis and kriging.
- CIVE 7342: Engineering Geographic Information Systems
Use of GIS in engineering applications, including hydrology, hydrogeology, water quality, and environmental resources.
- CIVE 7380: GNSS/INS and Augmented Systems for Positioning and Navigation
Modeling INS errors by linear state equations; multi-sensor integration of GNSS, INS, and alternative aiding sensors; practical aspects of inertial positioning and inertial error models; navigation system fault detection and integrity monitoring.
- CIVE 7397: Applied Geospatial Computations
Applied Geospatial Computations combine geographic information systems (GIS), computer science, signal processing techniques and physical models to serve a variety of applications in geology, geosensing engineering, Earth science, natural hazards, civil and environmental engineering.
- ECE 6337: Stochastic Processes in Signal Processing and Data Science
The course will cover random variables, probability theory and stochastic processes, and will apply these concepts to applications in signal processing and data science through programming class-projects.
- ECE 6342: Digital Signal Processing
Sampling theory; use of DFT/FFT; design of FIR and IIR digital filters; quantization and finite word length effects; digital signal processing hardware.
- ECE 6364: Digital Image Processing
Nature of images; visual effects; acquisition of images; sampling, quantization, and two-dimensional linear processing; image enhancement and restoration; image coding; texture analysis; tomography.
- ECE 6397: Sparse Representation for Signal Processing
Sparse Representation for Signal Processing.
- GEOL 6323: Geoscience Applications of GPS and Lidar
Fundamental issues, hardware, software, and geoscience applications of GPS and lidar; understanding errors in GPS and lidar measurements.
- GEOL 6324: Satellite Positioning and Geodesy
Theory of satellite-based positioning technologies and GNSS; geodetic datum definition and coordinate systems; error modeling and data processing strategies.
- GEOL 6325: Remote Sensing
Principles of remote sensing, data collection, and digital image processing; applications in geologic, environmental, and land-use studies, with emphasis on photographic, airborne/satellite, thermal, and active systems.
- GEOL 6388: Geospatial Analysis & Applications
Geospatial science, methods, analysis, and applications in geosciences.