SU 5002 - Infrared Technology, Sensors, and Applications
Infrared remote sensing fundamentals, current and future technologies, and applications are considered. Remote sensing for both civilian applications such as environmental resource mapping and military applications will be included.
Credits: 1.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5003 - Geographic Information Systems (GIS) Technology Fundamentals
Course provides review of Geographic Information Systems applications and analysis. Includes core concepts such as data acquisition and management, topology, accuracy, metadata, output, quality control, analysis methods, new and traditional software options, web mapping, and GIS implementation/management for research and production.
Credits: 1.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5004 - Introduction to Geospatial Image Processing
Introduction to the basic concepts of Image Processing and Understanding. Applications focus on preprocessing of satellite and aerial images, remote sensing, and image/video enhancement. This course will provide mathematical foundations and explore modern practical algorithms and methods.
Credits: 3.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5010 - Geospatial Concepts, Technologies, and Data
High-level review of geospatial data acquisition systems, sensors and associated processing technologies. Course considers geospatial metadata generation principles, interoperability, and major tools for manipulation with geospatial data. Course may help in transition of non-geospatial majors to geospatial field.
Credits: 3.0
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5020 - Data Analysis and Adjustments
Course explores fundamentals of mathematical error propagation theory including various observations equations, least squares adjustment, and Kalman filter methods. Blunder detection, decorrelation, and inversion of patterned large matrices processes are considered. Involves analysis of position estimation deploying geospatial measurements.
Credits: 3.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate
Prerequisite(s): SU 3250(C)


SU 5021 - Geodetic Models
Course provides solid geospatial background in geodetic reference frames: datums; geoids; and reference ellipsoids. 2D and 3D geodetic network adjustments are considered based on 3D spherical models.
Credits: 3.0
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate
Prerequisite(s): SU 5020(C)


SU 5022 - Positioning with GNSS
In-depth study of GPS, GLONASS, Galileo, COMPASS satellite systems, theory and processing of global positioning measurements. Strongly recommended for geospatial practitioners.
Credits: 3.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate
Prerequisite(s): SU 5020


SU 5023 - Geospatial Positioning
High-level summary of GPS-GAP courses. This course is intended for interdisciplinary graduate students who seek just ONE combination course in adjustments, geodesy and GPS (with emphasis on GPS/GNSS). Not available to students who have taken SU5020, SU5021, SU5022.
Credits: 3.0
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5041 - Geospatial Data Processing
Advanced data collection techniques; raster to vector; data conversion and map projections; topology; principles and application via advanced spatial analysis; advanced database structure; geo-database; geo-relational data model versus object-component data model; advanced 3D applications - vector and raster data model application; network analysis; linear referencing and conflation; geo-coding; GIS-CAD integration; web-based GIS innovations.
Credits: 3.0
Semesters Offered: Spring (alternate years)
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5042 - Digital Cartography
Spatial relations - topology, relations and relationships, directions and distances; hierarchy; generalization - vector (linear, polygonal, fractals) and raster; labeling - automatic name placement, text arrangement and deletion text; computational geometric algorithms - line intersection polygonal relationships, grid model, route analysis.
Credits: 3.0
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5043 - Topographic Analysis
LiDAR measurements; DSM - data sources, accuracy analysis, quality control, vector data analysis; terrain representation and TIN; grid analysis - interpolation, visibility, filers (smoothing, edges, median), shading; merging overlapping DSMs; spatial analysis, spectral analysis, shape analysis; automatic feature extraction from DSM.
Credits: 3.0
Semesters Offered: Spring (alternate years)
Restrictions: Must be enrolled in one of the following Level(s): Graduate


SU 5540 Advanced Photogrammetry - Satellite Photogrammetry
Fundamentals of spaceborne imaging systems relevant to topographic mapping. Imagery products: preprocessing levels and metadata. Specific methods of space photogrammetry. Review of contemporary spaceborne imaging systems and imagery products available. Airborne non-frame sensors and photogrammetric processing of the imagery.
Credits: 3.0
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate

SU 5800 Geospatial Master's Graduate Seminar
Student presentations of geospatial related research. Graduate committee organization assistance, presentation skills training and guidance for final Master's research presentation.
Credits: 1.0
Semesters Offered: Fall,Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate

SU 5930 - Synthetic Aperture Radar (SAR) Fundamentals and Applications
Review of radar concepts, applications of SAR (InSAR) data, types of available satellite/airborne systems, and data processing methods. Applications for creating topographic data, recognizing targets, classifying ice and vegetation, and oceans/large lakes will be presented based on real-world examples.
Credits: 3.0
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate

SU 5998 Graduate Practicum
Advanced independent study for students in the Integrated Geospatial Technology Masters program. In consultation with student's advisor, develop, and execute a project demonstrating capabilities in problem solving, communications, and decision making. The practicum can be done on campus or at the site of a Michigan Tech corporate partner.
Credits: 1.0 - 6.0
Semesters Offered: Fall, Spring, Summer
Restrictions: Instructor permission. Must be enrolled in one of the following Level(s): Graduate

SU 5999 Master's Graduate Research
Research of an acceptable geospatial related problem and preparation of a thesis.
Credits: 1.0 - 10.0
Semesters Offered: Fall, Spring, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate