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GEOG 1750: Minnesota Geography
3.00 Credits
Saint Paul College
In this course, students will explore Minnesota's regions. Topics covered include: people (culture, settlement patterns, and migrations), physical landscapes (glacial landforms, soils, and waterways), land use (agriculture, manufacturing, urbanization, etc.) geopolitical issues, as well as economics. (Prerequisite(s): READ 0721 or READ 0724 or EAPP 0860 with a grade of "C" or better or appropriate assessment score) (MnTC: Goals 5 & 10) 3C/3/0/0
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GEOG 1750 - Minnesota Geography
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GEOG 1790: Special Topics in Geography
1.00 - 6.00 Credits
Saint Paul College
This course is designed to present additional or unique material and learning experiences within a specified discipline. The course will be based on student need, flexibility, and may be designed to meet various transfer and pre-major course requirements. Please see a current Course Schedule for complete course details. (Prerequisite(s): READ 0721 or READ 0724 or EAPP 0860 with a grade of "C" or better or appropriate assessment score) (MnTC: Goal 5) Variable credits 1-6
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GEOG 1790 - Special Topics in Geography
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GISC 1760: Introduction to GIS
4.00 Credits
Saint Paul College
This course introduces students to fundamental and applied concepts in geographic information systems. Students will become intimately familiar with the use of rasters and vectors in a digital computer environment and learn how to use specialized GIS software (ESRI's ArcGIS suite of products) to import, display, create, manipulate, and analyze digital spatial data. The ultimate goal of this course is to teach students to become effective GIS practitioners that understand the theory related to GIS and appreciate the limitations and strengths of GIS. 4C/4/0/0
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GISC 1760 - Introduction to GIS
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GISC 1765: Cartography
3.00 Credits
Saint Paul College
This course introduces students to the art and science of making maps. Students will examine concepts related to scale, map projections, shape, proportion, color, human cognition of space, and the spatial arrangement of information in maps. The ultimate goal of this course is to teach students how to effectively convey a message with a map that contains subjectively selected features representing a simplified version of the outside world. 3C/3/0/0
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GISC 1765 - Cartography
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GISC 1770: Spatial Thinking
3.00 Credits
Saint Paul College
Students taking this course will receive a broad introduction to the discipline of geography and use it as a building block for learning how to conceptualize spatial information in landscape space. They will use key spatial indicators such as proximity, shape, density, position, gradient, juxtaposition, and others in evaluating landscape-scale phenomena. The diverse cultural and biophysical landscapes of Minnesota will serve as the backdrop for developing and applying these principles. 3C/3/0/0
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GISC 1770 - Spatial Thinking
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GISC 1775: Introduction to Remote Sensing
4.00 Credits
Saint Paul College
This course introduces students to fundamental and applied concepts in remote sensing. Students will be exposed to a detailed review of the electromagnetic spectrum, atmospheric windows, passive and active sensors, digital image processing techniques (including geometric and radiometric corrections), and image classification methods, among other topics. The ultimate goal of this course is to teach students to become adept at locating and properly processing remotely sensed data so that it is useful in a GIS computing environment while developing a good understand of remote sensing theory and the limitations and strengths of remote sensing. 4C/4/0/0
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GISC 1775 - Introduction to Remote Sensing
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GISC 1780: Spatial Analysis
3.00 Credits
Saint Paul College
This course introduces students to more rigorous GIS techniques for using customized spatial analyses to investigate and enhance digital spatial data in a GIS environment. The true power of GIS involves the ability to spatially adjust, extend, modify, and integrate digital spatial data (both rasters and vectors). The ultimate goal of this course is to teach students how to apply conceptual skills acquired in the spatial thinking course to digital spatial data in a GIS. Students will use extensions (especially 30 Analyst and Spatial Analyst) and customized toolboxes in ESRI's ArcGIS suite of software to conduct the analysis. 3C/3/0/0
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GISC 1780 - Spatial Analysis
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GISC 1785: GPS Field Techniques
3.00 Credits
Saint Paul College
This course introduces students to GPS field techniques used to map features out in the real world with hand-held GPS devices. Students will be learn how to use Trimble GPS units to collect spatial data in the field while developing an appreciation for the theoretical underpinnings of global position systems and learning how to import and process data collected from the field. The ultimate goal of this course is to make students proficient at using hand-held GPS devices and to provide students an understanding of the strengths and weaknesses of GPS. 3C/3/0/0
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GISC 1785 - GPS Field Techniques
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GISC 2720: Web-Based GIS
3.00 Credits
Saint Paul College
This course introduces intermediate and advanced GIS students to concepts and techniques for integrating GIS with the Internet. Topics explored in the class will include various protocols, approaches, hardware, software, and programming languages utilized to serve digital spatial data via the Internet. Practical experience with Google Earth, KMUKMZ, Google Map APis, Javascript APis, Flex APis, and ArcGIS Server will be used to teach and reinforce concepts. 3C/3/0/0
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GISC 2720 - Web-Based GIS
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GISC 2725: Object-Based Image Analysis
3.00 Credits
Saint Paul College
This course introduces intermediate and advanced GIS students to the complexities of acquiring, processing, and extracting information from remotely sensed data with a high spatial resolution. Students will become familiar with applying object-based image analysis techniques on a data stack generated from LiDAR returns, QuickBird imagery, IKONOS imagery, aerial, and/or corresponding derivative data (e.g., vegetation indices, wetness indices, erosion indices, etc.). 3C/3/0/0
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GISC 2725 - Object-Based Image Analysis
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