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courses.jpgGeospatial Science (GSS)

Undergraduate Course Descriptions:

GSS 105 - F: Introduction to Maps and Mapping : An introduction to the study and design of map formats, symbology, coordinate systems, and how maps record the historical patterns of human behavior. The course will also examine maps as a tool to analyze human activity and societal development, and include important aspects of map data collection, processing, the Global Positioning System (GPS), quantitative mapping, and GIS-based mapmaking techniques. 3 credits.

GSS 309: GIS and Cartography: Cartography is the knowledge associated with the art, science, and technology of maps. Digital computer cartography still follows the same fundamental principles and still requires a broad understanding of graphicacy as a language (as well as numeracy and literacy). This course will provide an introduction to cartographic principles, concepts, software and hardware necessary to produce good maps, especially in the context (and limitations) of geographic information systems (GIS). Prerequisite: SBC 113, 3 credits.

GSS 313: GIS Design and Application I: Provides the basic concepts underlying modern geographic information science and technology. Emphasis is placed on the principles of GIS for characterizing environmental systems and computer-based techniques for processing and analyzing spatial data. The course is three credit hours of lecture. The associated one credit laboratory course GSS 314 is required by some majors and minors. Prerequisite: MAT 125 or MAT 131, 3 credits.

GSS 314: GIS Laboratory: Practice using the GIS techniques and tools learned in the lecture (GSS 313), work on exercises, and process and analyze the spatial data for the course project. This laboratory course must be taken in the same semester as GSS 313. Corequisite: GSS 313, 1 credit.

GSS 323: GIS Database and Design: Concepts of geodatabase design and management in geographic information systems (GIS), SQL statements, geographic data types and functions, data entry, techniques of geographic information structure applications. This is a Windows based computer class with the majority of students work involving GIS computer software. Prerequisite: GSS 313, 3 credits. 

GSS 325: GIS Design & Applications II: The course builds upon the topics covered in GIS Design and Application I. It emphasizes the applications of GIS in solving real-world problems. Students are expected to gain an understanding of GIS theory, methodology and most importantly application. Students are also expected to demonstrate abilities of spatial thinking, spatial analysis, and be able to solve practical spatial problems utilizing a GIS. Because GIS is both a tool for analysis and the visual communication of these data, students will be required to develop a GIS presentation, much as would be expected in a professional setting. This independent project will constitute a substantial portion of the final grade. This is a Windows based computer class with the majority of students work involving GIS computer software. Prerequisite: GSS 313 or equivalent, 3 credits.

GSS 326: GIS Project Management: The course addresses issues unique to a GIS operation such as implementation issues, decision making procedures, strategies for success, legal issues, involvement of management, marking within an organization, strategic planning, and industry outlook. Prerequisite: GSS 313, 3 credits.

GSS 350: Applied Spatial Data Analysis:
An introduction to geospatial statistical analysis that aims to provide students with the background necessary to investigate geographically represented data. The specific focus is on spatial data analysis, such as the analysis of autocorrelation, principles of geostatistics and analysis methods that are relevant in the fields of public health, environmental/earth science and social science. An important aspect of the course is to gain hands-on experience in applying these techniques with GIS and spatial analytical software, and essential methodological and practical issues that are involved in sophisticated spatial analyses. Prerequisite: AMS 102 or equivalent and GSS 313, 3 credits.

GSS 355: Remote Sensing GIS Data:
Provides a basic overview of the technology by which aircraft and satellite images of the Earth are produced as well as hands on experience manipulating and interpreting. Students gain practical experience in environmental analysis using satellite imagery and commonly used sensors and analytical methods for the Earth sciences. Prerequisite: GSS 105 or MAR 104 or GEO 102, 3 credits.

GSS 475: Geospatial Teaching Practicum: The teaching practicum provides teaching experience, carried out under faculty supervision. Student will work with a faculty member as assistant in a regularly scheduled course and student will be assigned a specific role to assist in teaching the course. The student will meet with the instructor on a regular basis to discuss intellectual and pedagogical matters relating to the course. Prerequisite: Permission of instructor, 0-3 credits, S/U grading.

GSS 487: Geospatial Science Research: Qualified advanced undergraduates may carry out individual research projects under the direct supervision of a faculty member. Repeatable to a maximum of 3 credits. Prerequisite: Permission of instructor, 0-3 credits, S/U grading.

GSS 488: Geospatial Science Internship: The GSS Internship is designed to provide students experience in the real workplace. Interns are expected to function as a GIS/Remote Sensing professional and work within the existing host facility structure or on a free standing project. Interns will complete assigned tasks by hosting facility such as GIS data entry, data retrieval, remote sensing analysis, GPS field work, documentation, or general GIS facility duties. These activities will be monitored by both a representative of the host facility and the instructor. May be repeated to a limit of 12 credits. Prerequisites: GSS 313 and GSS 325, or instructor consent, 0-12 credits, S/U grading.

Other Undergraduate GIS and Remote Sensing Courses: Courses offered by other departments that receive credit toward the minor requirements

ANT 420: Environmental Analysis Using Remote Sensing and Geographic Information Systems: The use of aerial and satellite imagery in environmental analysis and the manipulation of geographic data sets of all types using Geographic Information Systems. Concentrating on Long Island, each student designs and completes a research project on a particular section of the area, focusing on the habitats of local wildlife, the locations of archaeological sites, coastal regimes, etc. Students should expect to spend approximately 10 hours per week beyond regularly scheduled classes in a University computer laboratory. This course is offered as both ANT 420 and GEO 420. Prerequisite: Upper-division course in ANT or BIO or GEO or MAR 4 credits.

BIO 319: Landscape Ecology Laboratory:  A computer lab course focusing on spatial concepts, methods, and tools for addressing ecological and environmental problems. The course will be based on fundamental concepts in ecology and environmental science and extend that knowledge, as well as teaching technical skills, including the use of geographic information systems (GIS) software, image processing, spatially explicit modeling, and spatial statistics. The lab exercises will introduce a variety of spatial approaches addressing problems in environmental protection, ecotoxicology, natural resource management, conservation biology, and wildlife management. Pre- or Corequisite: BIO 201 and BIO 204 and 205 Advisory Prerequisite: MAT 126 or higher 3 credits.

GEO 420: Environmental Analysis Using Remote Sensing and Geographic Information Systems:  The use of aerial and satellite imagery in environmental analysis and the manipulation of geographic data sets of all types using Geographic Information Systems. Concentrating on Long Island, each student designs and completes a research project on a particular section of the area, focusing on the habitats of local wildlife, the locations of archaeological sites, coastal regimes, etc. Students should expect to spend approximately 10 hours per week beyond regularly scheduled classes in a University computer laboratory. This course is offered as both ANT 420 and GEO 420. Prerequisite: Upper-division course in ANT or BIO or GEO or MAR 4 credits.

GEO 347: Geological Applications of Remote Sensing:  An introduction to the fundamental principles of remote sensing, with emphasis on geological and environmental applications. Discussion of the physical basis for remote sensing techniques. Survey of commonly used sensors and image analysis methods in earth sciences. Use of remotely sensed data in geographic information systems. Participants gain practical experience in geologic analysis using satellite imagery. Prerequisite: GEO 102 or GEO 122 Advisory prerequisite: PHY 122 or PHY 132 or PHY 142 or PHY 126,127 3 credits.  

MAR 334- E: Remote Sensing of the Environment:  A study of the theory of remote sensing and its application in the fields of atmospheric science and oceanography. A discussion of the interaction of electromagnetic radiation with rough surfaces and the atmosphere is followed by a treatment of sensors and platforms. The remainder of the course is devoted to data processing techniques involved in remote sensing. Prerequisite: One of the following: ENS/PHY 119, PHY 127, PHY 132/134, or PHY 142 3 credits.

 Graduate Course Descriptions:

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GSS 509 Digital Cartography : Maps portray spatial relationships among selected phenomena of interest and increasingly are used for analysis and synthesis. Cartography is the knowledge associated with the art, science, and technology of maps. Digital computer cartography still follows the same fundamental principles and still requires a broad understanding of graphicacy as a language (as well as numeracy and literacy). This course will provide an introduction to cartographic principles, concepts, software and hardware necessary to produce good maps, especially in the context (and limitations) of geographic information systems (GIS).

GSS 513 GIS Fundamentals I : This course provides the basic concepts underlying modern geographic information science and technology. Emphasis is placed on the principles of GIS for collecting, storing, characterizing, and maintaining data and computer-based techniques for processing and analyzing spatial data. The course includes three hours of lecture, in class exercises and homework projects each week. This is a computer based class with the majority of students work involving GIS computer software. Prerequisite: working knowledge of spreadsheet software.

GSS 523 Geodatabase and Design: Concepts of geodatabase design and management in geographic information systems (GIS), SQL statements, geographic data types and functions, data entry, and techniques of geographic information structure applications. Prerequisite: GIS513 or equivalent.

GSS 525 GIS Fundamentals II:  GIS Fundamentals II will introduce the applied use of Geographic Information Systems (GIS) which is now used extensively in analytical studies. The course emphasizes the applications of GIS in solving real-world problems. Students are expected to gain an understanding of GIS theory, methodology and most importantly application. Students are also expected to demonstrate abilities of spatial thinking, spatial analysis, and be able to solve practical spatial problems utilizing a GIS. Prerequisite: GIS513 or equivalent. 

GSS 526 GIS Project Management: This course will enable students to addresses issues unique to a GIS operation such as: identify implementation issues for a GIS project or program; be prepared to assist in decision making procedures that involvement management; incorporate strategies for success in your workplace; understand some of the legal issues about the use of GIS data; and be aware of the GIS industry outlook for employment and education. Prerequisite: GIS513 or equivalent.

GSS 550 Applied Spatial Analysis: The specific focus is on spatial data analysis, such as the analysis of autocorrelation, principles of geostatistics and analysis methods that are relevant in the fields of public health, environmental/earth science and social science. An important aspect of the course is to gain hands-on experience in applying these techniques with GIS and spatial analytical software, and essential methodological and practical issues that are involved in sophisticated spatial analyses. 3 credits, offered in Spring semester.

GSS 554 Geospatial Science for the Coastal Zone: The use of spatial data is becoming increasingly critical in the decision management process and planning of the coastal zone. This course will use GIS and Remote sensing tools to collect and analyze data for integrating into the management, planning, and monitoring of the coastal geomorphology and ecosystems. Prerequisite: GSS513 or equivalent, 3 credits.

GSS 555 GIS and Remote Sensing: This course provides a basic overview of the technology by which aircraft and satellite data are produced and utilized in analyses to answer questions within a geographic context. Students will learn to identify sources of remotely sensed imagery appropriate for common applications; acquire, manipulate, and interpret aerial photographs and satellite imagery/data; and incorporate remote sensing data into Geographic Information Systems. Prerequisite: GIS513 or equivalent.

GSS 575 Geospatial Teaching Practicum: The teaching practicum provides teaching experience, carried out under faculty supervision. Student will work with a faculty member as assistant in a regularly scheduled course and student will be assigned a specific role to assist in teaching the course. The student will meet with the instructor on a regular basis to discuss intellectual and pedagogical matters relating to the course. Prerequisite: Permission of instructor, 3 credits, S/U grading.

GSS 587: Geospatial Science Research: Individual research projects under the direct supervision of a faculty member. Repeatable to a maximum of 3 credits. Prerequisite: Permission of instructor, 0-3 credits, S/U grading.

GSS 588 Geospatial Science Internship: The GIS Internship is designed to provide students experience in the real workplace. Interns are expected to function as a GIS professional and work within the existing host facility structure or on a free standing project. Interns will complete assigned tasks by hosting facility such as GIS data entry, data retrieval, GPS field work, documentation, or general GIS facility duties. These activities will be monitored by both a representative of the host facility and the instructor. Prerequisites: GSS513, GSS525 or equivalents, and consent of Instructor, 0-3 credits, S/U grading. 

GSS 588 GIS Internship: The GIS Internship is designed to provide students experience in the real workplace. Interns are expected to function as a GIS professional and work within the existing host facility structure or on a free standing project. Interns will complete assigned tasks by hosting facility such as GIS data entry, data retrieval, GPS field work, documentation, or general GIS facility duties. These activities will be monitored by both a representative of the host facility and the instructor. Prerequisites: GSS513, GSS523, GSS525, GSS526 or equivalents, and consent of Instructor.

Other Graduate GIS and Remote Sensing Courses: Courses offered by other departments that receive credit toward the Advanced Graduate Certificate requirements

ANT 526: Environmental Analysis Using Remote Sensing and Geographic Information Systems: The use of aerial and satellite imagery in environmental analysis and the manipulation of geographic data sets of all types using Geographic Information Systems. Concentrating on Long Island, each student designs and completes a research project on a particular section of the area, focusing on the habitats of local wildlife, the locations of archaeological sites, coastal regimes, etc. Students should expect to spend approximately 10 hours per week beyond regularly scheduled classes in a University computer laboratory. This course is offered as both ANT 420 and GEO 420. Prerequisite: Upper-division course in ANT or BIO or GEO or MAR 4 credits.

GEO 513 GIS Fundamentals I: This course provides the basic concepts underlying modern geographic information science and technology. Emphasis is placed on the principles of GIS for collecting, storing, characterizing, and maintaining data and computer-based techniques for processing and analyzing spatial data. The course includes three hours of lecture, in class exercises and homework projects each week. This is a computer based class with the majority of students work involving GIS computer software. Prerequisite: working knowledge of spreadsheet software. 3 credits.  

GEO 523 Geodatabase and Design: Concepts of geodatabase design and management in geographic information systems (GIS), SQL statements, geographic data types and functions, data entry, and techniques of geographic information structure applications. Prerequisite: GEO513 or equivalent, 3 credits.

GEO 525 GIS Fundamentals II: GIS Fundamentals II will introduce the applied use of Geographic Information Systems (GIS) which is now used extensively in analytical studies. The course emphasizes the applications of GIS in solving real-world problems. Students are expected to gain an understanding of GIS theory, methodology and most importantly application. Students are also expected to demonstrate abilities of spatial thinking, spatial analysis, and be able to solve practical spatial problems utilizing a GIS. Prerequisite: GIS513 or equivalent. 3 credits.

HPD 682: Statistical Methods in Clinical Outcomes Research: The purpose of the course is to familiarize students with some major topics in clinical outcomes research, the statistical models commonly employed, and statistical problems that need to be overcome. Specific topics of interest may include: risk factor analysis static models; risk factor/disease progression analysis dynamic models; survival analysis (including multivariable survival analysis); volume-outcomes research; and forecasting models. Statistical techniques and challenges will be discussed within the context of each research topic as they arise. By the end of this course, students should be broadly familiar with these issues, and should be able to evaluate published clinical outcomes research in terms of the appropriateness of models chosen and how well the statistical problems have been addresses, and the reliability of the results. Prerequisites: HPH 507 Biostatistics II or equivalent course. OfferedFall, 3 credits, Letter graded.

EST 576 Geographic Information Systems in Education and Research: Students use Geographical Information Systems (GIS) software to create, manipulate, and interpret layers of interactive maps and databases. Students collect and modify geographical materials from the Internet, satellite and aerial imagery, and field data. They design and test scientific inquiry-driven educational modules and/or visualizations for research and analysis on global and local geography, for use in economics, earth sciences, politics and civic action, history and sociology, global studies, and environmental planning and assessment. Prerequisite: EST 565 or EST 595 or permission of instructor Spring, 3 credits, ABCF grading.

EST 577 Environmental Information Systems (EIS) : Due to the complex nature of environmental and spatial data, these systems require state-of-the-art computer technology to achieve environmental decisions. The purpose of this course is to provide the connection between environmental science and information technology. This course will address the technical and conceptual bases of data capture, data storage, data analysis and decision support, and meta-data management. Environmental Information Systems are concerned with the management of data about the rock, the soil, the water, the air, and the species around us. By the end of this course, the student will be able to design and implement information systems to support decision-making in environmental management, energy and protection. Spring, 3 credits, ABCF grading.

MAR 587 Basics of ArcGIS: An introduction to the basic elements of GIS analysis with marine applications. The course includes hands-on exercises to familiarize students with ArcGIS capabilities and basics of a GIS toolbox.  A project will be required with an emphasis on marine and coastal situations. Spring, every year, 3 credits, ABCF grading. 

MAR 588 Remote Sensing:Theory and application of remote sensing and digital image analysis to marine research. Students use standard software and PCs for digital filtering, enhancement, and classification of imagery.
Prerequisite: MAR 501, 502, 504, 506, or permission of instructor. Spring, 2 credits, Letter graded. 

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