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 This course provides a solid foundation for students pursuing studies in the Geosensing Systems Engineering program. Physical geodesy, concerned with determining the physical shape of the Earth, interacts with many other disciplines. A fundamental understanding of this core component is necessary for graduate studies of advanced Geosensing techniques.
CIVE 6380: Introduction to Geomatics & Geosensing Introduction to horizontal and vertical curves computation. Fundamentals of geodesy, geodetic reference systems and map projection; introduction to Global Positioning System (GPS); principles of LiDAR technology; digital imaging and mapping.
CIVE 6381: Applied Geospatial Computations This course provides an overview of applied geospatial computations including statistical analysis, geophysical and civil engineering modelling, remote sensing and data visualization. Students will solve problems related to signal processing applied to radar and lidar data, machine learning and remote sensing data analysis.
CIVE 6382: Lidar Systems & Applications Principles of lidar (Light Detection and Ranging). Spaceborne lidar, airborne topographic, bathymetric, mobile terrestrial and static lidar systems. Full Waveform lidar. Boresight calibration. Filtering and Classification. Multi-Sensor Fusion.
CIVE 6383: Remote Sensing of Hydrology Principles of Remote Sensing. Remote Sensing of precipitation and evapotranspiration. Remote Sensing of surface water elevation and inundation extents. Remote Sensing of soil moisture. Remote sensing of groundwater storage changes. Principles of data assimilation.
CIVE 6384: Satellite Altimetry & 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 Engineering Geographic Information Systems.
CIVE 7380: GNSS/INS & Augmented Systems for Positioning & 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.
ECE 6337: Stochastic Processes in Signal Processing & Data Science Random variables, probability theory, and stochastic processes; applications in signal processing and data science through programming class-projects.
ECE 6342: Digital Signal Process Sampling theory, use of the DFT/FFT, design of FIR and IIR digital filters, quantization and finite word length effects, and digital signal processing hardware.
ECE 6364: Digital Image Processing The 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 6381: Sparse Representation for Signal Processing Foundations of multi-resolution analysis and wavelet theory for signal representation; sparsity and structured sparsity; real-world image analysis.
GEOL 6323: Geoscience Applications of GPS & LIDAR Fundamental issues, hardware, software, and geosciences applications of Global Positioning System (GPS) and Light Detection and Ranging (lidar); understanding errors in GPS and lidar measurements.
GEOL 6324: Satellite Positioning & Geodesy Theory of satellite-based positioning technologies, Global Navigation Satellite System (GNSS), geodetic datum definition and coordinate systems, error modeling and data processing strategies.
GEOL 6325: Remote Sensing Principles of remote sensing, data collection, digital image processing, and 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.