The most critical issue facing the world today is the sustainability of both human and physical systems in the 21st century. This class uses the context of regions of the world to explore the 21st century issues of climate change, development, politics, economy, and demography. Each region will be used to highlight aspects of sustainability.

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An introduction to the geographic characteristics of the development problems and prospects of developing countries. Spatial distribution of poverty, employment, migration and urban growth, agricultural productivity, rural development, policies and international trade. Portraits of selected developing countries.

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Catastrophic Environmental Events (CCE) that are becoming more common i this time of global environmental change and it is essential that today's students be equipped with the knowledge and skills to be leaders as we, as a society, understand the upheaval that these CCEs are causing. Students will examine how CEEs shape human society and ecosystem from the interdisciplinary perspective afforded by the field of Geography. Students will use the latest geographic science concepts and techniques in exploring these events.

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Introduction to technical methods used in gathering, analyzing, and presenting geospatial information, addressing the needs of geospatial analysis, such as environmental monitoring, situational awareness, disaster management, and human systems. Topics include basics of locational reference systems, map projections, satellite and airborne remote sensing, global positioning systems, geographic information systems, cartography, and introductory statistics and probability. The course is a gateway to more advanced technical classes in geoinformatics.

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A systematic introduction to the processes and associated forms of the atmosphere and earth's surfaces emphasizing the interaction between climatology, hydrology and geomorphology.

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Introduction to what geographers do and how they do it. Systematic stud of issues regarding social and cultural systems from a global to a local scale. Looks at the distribution of these variables and answers the question "Why here, and not there"?

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A laboratory course to accompany GEOG 201. Analysis of the components of the earth's energy balance using basic instrumentation; weather map interpretation; soil analysis; the application of map and air photo interpretation techniques to landform analysis.

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Purpose: increase student knowledge of professional development opportunities in Geography through classroom activities and invited speakers, and to build awareness of career development tools and strategies. The main focus of the class is to prepare students to use the tools needed to pursue professional opportunities, including internships, jobs, and graduate school. Special emphasis will be on résumé building, cover letter writing, communication skills, and job, internship, and graduate school research.

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Contact department for information to register for this course.

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Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and some advanced concepts, such as matrix methods, principal component analysis, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.

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Cultural geography course on society and sustainability. Culture is the basic building block that is key to sustainability of societies. Course will cover sustainability of societies on different scales, examining local, regional, and worldwide issues. Sustainability will be examined as a key element of environmental sustainability. How societies adjust to rapid world change will be examined as a positive and/or negative factor in sustainability. (Human Geography)

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Introduction to global-scale interrelationship between human beings and the environment. The development of global issues including but not limited to the environment, food, energy, technology, population, and policy.

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Principles of managing scarce resources in a world where everyone faces tradeoffs across both time and space. Focuses on the relationship between globalization processes and changing patterns of locational advantages, production, trade, population, socioeconomic and environmental grace and sustainability. (Human Geography)

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How cities have been produced, consumed, and theorized as complex social, economic, ecological, and political systems; the main debates over geographical interpretations of the urban world; the major forces and inter-dependencies that shape internal spatial structure of the city and drive urban trends and public policy. (Human Geography)

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The geographic aspects of climate with emphasis on energy-moisture budgets, steady-state and non steady-state climatology, and climatic variations at both macro-and micro-scales. (Physical Geography)

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Principles of remote sensing in relation to photographic, thermal infrared and radar imaging. Methods of obtaining quantitative information from remotely-sensed images. Interpretation of remotely-sensed images emphasizing the study of spatial and environmental relationships. (Technical)

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Characteristics and organization of geographic data; creation and use of digital geospatial databases; metadata; spatial data models for thematic mapping and map analysis; use of geographic information system in society, government, and business. Practical training with use of advanced software and geographic databases. (Technical)

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Introduces conceptual and practical aspects of programming for geographic applications. The main focus is on developing a solid understanding of basic programming techniques irrespective of the specific programming language including variables, looping, conditional statements, nesting, math, strings, and other concepts. In addition, students will develop a proficiency in applying these basic programming principles to manipulating spatial data sources within the Geographic Information Systems (GIS).

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Supervised field training to provide career experience. Introduction to professional level activities, demands, opportunities. Placement at a public agency, non-profit organization, or private firm. Participation requires application to the internship advisor in preceding semester.

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Supervised field training to provide career experience. Introduction to professional-level activities, demands, opportunities. Placement at a public agency, nonprofit organization, or private firm. Participation requires application to the internship advisor in preceding semester.

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Second course in the departmental honors sequence. Student research under the auspices of a faculty advisor, culminating in a research paper to be defended orally before the geography honors committee.

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Develops an understanding of the push and pull factors that have contributed to human mobility (migration) that has transformed the Americas. The class is divided in two parts: immigration and emigration from Latin American and Latin America migration to the United States. We will be interested in studying the migration shifts that have occurred in Latin America and the theories that help explain them.

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The issues of climate change and land use change as two interlinked global and regional environmental issues and their implications for society and resource use are explored.

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Develops skills to carry out research that integrates environmental and economic aspects of sustainability by introducing extensively used quantitative tools for analyzing human-environmental interactions in the field of ecological economics. These include, e.g., index number calculations and decomposition analysis, Environmental Kuznets Curve (EKC), environmental input-output analysis and life-cycle analysis, and multi-criteria decisions aid (MCDA). Students will need laptops to run models during class. (Technical)

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The course will be a lab practical. Students will be introduced to the image processing steps required for characterizing land cover extent and change. Key components of land cover characterization, including image interpretation, algorithm implementation, feature space selection, thematic output definition, and scripting will be discussed and implemented.

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Applied introduction to field methods. This class is built around a two week field trip (mid-August) with a base camp in the headwaters of the Potomac River in the mountains of West Virginia. During the camp the following topics are covers: GPS (global positions system), stream hydrology measurements, vegetation classification and ordination, micrometeorlogical measurements, soils, water quality, remote sensing and GIS, local environmental issues, geomophology and paleohistory, and natural and cultural history. (Technical)

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This course will cover physical geography, history, and economic and political systems of the world's most populous country. Major focus will be on geographical issues in China's contemporary development: agriculture, population, urbanization, resource and energy, and environment.

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To develop an understanding of the geographic contexts of Sub-Saharan Africa, including an overview of the physical,
bioclimatic, historical, cultural, political, demographic, health and economic geographies of Sub-Saharan Africa. Students will ‘fill in the map’ of Africa by studying the spatial distribution within each of these geographic domains. In addition to an overview of geography South of the Sahara, the Congo will be taken as a more intensive case study through additional readings, lectures and discussions. (Integrated Geography)

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A geography of Latin America and the Caribbean in the contemporary world: political and cultural regions, population and resource distribution, historical development, current levels of economic and social well-being, urbanization, development policies, migration trends, physical features and climates. (Integrated Geography)

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Basic issues concerning the natural history of humans from the perspective of the geographer. Basic components of selected behavioral and natural systems, their evolution and adaptation, and survival strategies. (Human Geography)

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This course will provide an introduction to modern econometric techniques in general and spatial econometrics in particular. It is designed for senior and graduate students of geography department who may have relatively limited background in statistics, mathematics, and econometrics but are keen to learn this ‘difficult’ subject. This course will use the popular open source statistical computer language R. Its focus is on using statistical computing to produce analytical reports for real-world applications, research papers, and dissertations.

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Introduction to coastal oceanography, focusing on the physical, biological, and geological aspects of ocean areas on the inner continental shelves. Wave, currents, and tidal dynamics of bays, open coast, estuaries, and deltas. Sedimentary environments of major coastal types. Ecology and biogeochemical relationships, including benthic and planktonic characteristics. Coastal evolution with sea level rise. Human impacts: eutrophication, modification of sedimentation. The coastal future: rising sea level, hypoxia, and increased storminess.

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Biogeographical topics of global significance, including a consideration of measurement techniques, and both descriptive and mechanistic modeling. Topics may include: scale in biogeography, climate and vegetation, global carbon cycle, biodiversity, interannual variability in the biosphere, land cover, global biospheric responses to climate change, NASA's Mission to Planet Earth and Earth Observation System. (Physical Geography)

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Digital image processing and analysis applied to satellite and aircraft land remote sensing data. Consideration is given to preprocessing steps including calibration and geo registration. Analysis methods include digital image exploration, feature extraction thematic classification, change detection, and biophysical characterization. One or more application examples may be reviewed. (Technical)

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Analytical uses of geographic information systems; data models for building geographic data bases; types of geographic data and spatial problems; practical experience using advanced software for thematic domains such as terrain analysis, land suitability modeling, demographic analysis, and transportation studies.

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Advanced skills of computer mapping using more sophisticated software packages. Map projection evaluation and selection, coordinate system conversion, techniques of quantitative thematic mapping, map design and generalization, hypermedia and animated cartography. Emphasis on designing and making cartographically sound sophisticated thematic maps. (Technical)

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Expands on conceptual and practical aspects of programming for geographic applications. The main focus of this course is to provide students more advanced programming in object oriented programming languages (i.e. Python). In addition, students will develop a proficiency in applying these advanced programming principles to manipulating spatial data sources within the Geographic Information Systems (GIS). (Technical)

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Designed as an introduction to mobile GIS, to the programming concepts underlying mobile GIS development, and more importantly, to the design and implement of a mobile GIS application. Covers how to develop, test, and publish mobile GIS native apps working across two mobile platforms: Android and iOS. This course will also try to leverage the capabilities of JavaScript, Swift, Google maps, ArcGIS Server and runtime SDK to developing and publishing mobile GIS web apps.

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This course considers various ways of understanding interactions and feedback loops between human and natural systems. We begin with core readings on coupled systems, then proceed into different methods for researching such systems. Students will gain fundamental understandings of this emerging area, opportunities to "'practice" appropriate methodological approaches, and a chance to conduct their own research.

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Restriction: Open to GEOG, GIS, and ENSP-Coastal, Land Use, Global majors only. The aim of the course is to familiarize the student with the fundamentals of geospatial representations, such as spatial indexes and network data structures, and with techniques for manipulating geospatial information for geographic information systems, for spatially-based, for spatially-based decision systems and location-based services.

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Introduction to key aspects of database design for GIS applications; major database models that support spatial data; formal models for key spatial relationships that underlie many different GIS applications; basics of SQL for making queries on datasets; design and construction of ArcGIS geodatabases; ArcGIS tools for geoprocessing. Lab sections will occasionally meet in LEF 1136 or 1138. Students must pay a $40.00 lab materials fee.

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Since 2000, Internet has become the major GIS platform, and a majority of GIS applications are Internet or Web based. This course aims to introduce the development of Web-based systems to search and browse geographic data, and to explain the principals and methods necessary to develop such systems. To achieve this objective, multiple topics will be covered, which include Web design and development, HTML and JavaScript, ArcGIS server, Web services, ArcGIS API for JavaScript, ArcGIS online, and Google Map API.

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This course is intended as a survey of the theory and methods pertaining to social networks. Class time will be devoted to learning principles, theoretical perspectives, and appropriate software packages (mainly those in R) for designing a study for gathering network data, and analyzing those data. The readings are a combination of introductory-level material, classic, scholarly readings in the field, and empirical studies that apply social network analytic techniques to topics relevant to the social sciences as a whole.

Course Offerings: No listing found

See department for more information.

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Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.

Course Offerings: No listing found

Introduction to remote sensing and geographic information systems. Topics include methods of obtaining quantitative information from remotely sensed images, interpretation of remotely sensed images for spatial and environmental relationships, characteristics and organization of geographic data, including spatial data models for thematic mapping and map analysis and use of GIS in society, government, and business. Practical experience with remote sensing software and GIS.

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This course is an introduction to computer programming using the Python programming language. It is recommended for students before they enroll in the more advanced programming courses. This course teaches students the fundamentals concepts of computer science. The students will learn about the core components of a computer program, such as data management, conditional statements, iterative statements, and file processing. Students will develop programs the purpose of automating tasks and assisting with data analysis.

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Introduces students to the nature and practice of science in physical and human geography, including practical methods for research productivity, professional, societal and ethical obligations of scientists, the philosophy of science, and the scientific literature. Students will prepare and critically evaluate research proposals.

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Multivariate statistical method applications to spatial problems. Linear and non-linear correlation and regression, factor analysis, cluster analysis. Spatial statistics including: trend surfaces, sequences, point distributions. Applications orientation.

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Contact department for information to register for this course.

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The intersection of human and biophysical systems from the vantage point of the impact of human actions on the environment are examined. The impact of the biophysical environment on humans is also discussed.

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This class provides an examination of land cover and land use change science, addressing the causes, impacts and projection of change. Key concepts of land use science are presented and recent research papers and case studies are reviewed. Class consists of lectures, invited presentations and individual student projects and presentations.

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The course will be a lab practical. Students will be introduced to the image processing steps required for characterizing land cover extent and change. Key components of land cover characterization, including image interpretation, algorithm implementation, feature space selection, thematic output definition, and scripting will be discussed and implemented.

Course Offerings: No listing found

An advanced graduate level introduction to the effects of geography on economic activities and the effects of economic incentives, institutions, and activities on the nature and sustainability of human and environmental geographic systems.

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Biogeographical topics of global significance, including a consideration of measurement techniques, and both descriptive and mechanistic modeling. Topics may include: scale in biogeography, biodiversity, carbon geography, climate and vegetation, interannual variability in the biosphere, land cover, global biospheric responses to climate change, NASA's Mission to Planet Earth and Earth Observation System. The class focuses on both natural and athropogenic controls, impacts of biography on climate and ecosystem services and different methods in biogeography.

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This course covers how to create, test, and publish mobile GIS applications that work across multiple platforms (Android, iOS, and Black Berry Tablet OS) and adapt to a smartphone or tablet display.

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This course covers the statistical modeling of spatial data and data analysis that are most useful to geographers and others who use spatial data. It provides the student with more advanced methods with an emphasis on practical techniques for problem solving. Home assignments are designed to help the student understand the fundamental concepts and principles in depth and allow the student to gain experience in the use of S-Plus statistical software and two powerful extensions of ArcGIS: Spatial analyst, and Geostatistical analyst. There is a $40.00 lab fee for this course.

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Digital image processing and analysis applied to satellite and aircraft land remote sensing data. Consideration is given to preprocessing steps including calibration and georegistration. Analysis methods include digital image exploration, feature extraction thematic classification, change detection, and biophysical characterization. One or more application examples may be reviewed. There is a $40.00 lab fee for this course. Click here to view books for the course.

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Methods of spatial analysis including measuring aspects of geometric features and identifying spatial patterns of geospatial objects that are represented as point, line, network, areal data, and 3-D surfaces.

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Provide foundations and understanding on various issues related to modeling and simulation in GIS context. It will addresses the concepts, tools, and techniques of GIS modeling, and presents modeling concepts and theory as well as provides opportunities for hands-on model design, construction, and application. The focus will be on raster-based modeling. This course is also application-orientated, particularly in these fields such as terrain modeling, LULC modeling, hydrological modeling, suitability modeling, etc.

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This course is designed to help students understand, analyze, design, and implement spatial databases. While the basic concepts and theories of database will be introduced, the focus of this course will be on providing students with hands-on experiences to practice the technical skills used in spatial database design and implementation. SQL, Oracle, and ArcSDE are the key topics.

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An introduction to programming and scripting for intermediate GIS users. The fundamental concepts of computer programming will be introduced within the Geoprocessing framework in ArcGIS primarily using Python. Basic concepts of object-oriented programming and scripting will be presented. Students will develop skills in programming techniques to explore, manipulate and model spatial data using the Geoprocessor methods.

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Intermediate course designed to teach students the techniques for Web development, particularly creating dynamic and data-driven Web applications. Introduces a high-level, object-oriented programming language such as VB.Net and the designing, coding, debugging, testing, and documenting for the development of Web-based applications. Other popular Web development tools such as DHTML, CSS and PHP are also covered.

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Detailed examination of land remote sensing instruments, observatories and resultant measurements in the optical portion of the EM spectrum. Includes computer-based exercises that examine the importance of data geo-registration and radiometric calibration in land measurements.

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Biophysical principles, phenomena and processes underlying multispectra remote sensing in the optical portion of the EM spectrum. Includes computer-based exercises that explore the biophysical basis of land patterns and dynamics observed in remote sensing data.

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Comprehensive instruction is provided in the advanced use of a commercial programming language and analysis tool used for scientific programming and data visualization, with an emphasis on applications in geography and remote sensing or GIS.

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Online course delivers information on the use of GIS applications on the Internet. Covers hardware/software structure of the Internet, the means for communication between Internet-connected devices, applications that provide GIS program and data, and performance and security concerns.

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This course will provide an introduction to modern econometric techniques in general and spatial econometrics in particular. It is designed for senior and graduate students of geography department who may have relatively limited background in statistics, mathematics, and econometrics but are keen to learn this ‘difficult’ subject. This course will use the popular open source statistical computer language R. Its focus is on using statistical computing to produce analytical reports for real-world applications, research papers, and dissertations.

Course Offerings: No listing found

Designed as an introduction to mobile GIS, to the programming concepts underlying mobile GIS development, and more importantly, to the design and implementation of a mobile GIS application. Covers how to develop, test, and publish mobile GIS native apps working across two mobile platforms: Android and iOS. This course will also try to leverage the capabilities of JavaScript, Swift, Google maps, ArcGIS Server and runtime SDK to developing and publishing mobile GIS web apps.

Course Offerings: No listing found

Also offered on the Interactive Video Network. Contact the MEES department for more information.

This course considers various ways of understanding interactions and feedback loops between human and natural systems. We begin with core readings on coupled systems, then proceed into different methods for researching such systems. Students will gain fundamental understandings of this emerging area, opportunities to "'practice" appropriate methodological approaches, and a chance to conduct their own research.

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Lidar, also known as laser scanning, is an active remote sensing tool that can produce high-resolution point clouds. Lidar is being applied to problems such as terrain modeling, biomass estimation, change detection, feature extraction, and measuring tree canopy. Topics covered are fundamentals of lidar, current developments in lidar technology, and different applications where lidar is being used. Students will get hands-on learning about lidar data management, processing, and analysis.

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Restriction: Open to GEOG, GIS, and ENSP-Coastal, Land Use, Global majors only. The aim of the course is to familiarize the student with the fundamentals of geospatial representations, such as spatial indexes and network data structures, and with techniques for manipulating geospatial information for geographic information systems, for spatially-based, for spatially-based decision systems and location-based services.

Course Offerings: No listing found

Contact Department for Details

Course Offerings: No listing found

Lab sections will occasionally meet in LEF 1136 or LEF 1138. Students must pay a $40.00 lab materials fee.

Course Offerings: No listing found

Contact department for information on this course.

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Students will learn to use open source GIS tools like QGIS, GeoServer and PostGIS to collect, store, analyze, serve and visualize spatial data on the web (e.g., OpenStreetMap Data). This course will help students understand the backend of web mapping services like Google map, Bing Map etc. by using open source GIS server to build Google Map-like web mapping services, including data services (WFS), visualization services (WMS), and processing services(WPS). Previous exposure to GIS environment and basic concepts of web server will be helpful but not required for learning in this course.

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This course is intended as a survey of the theory and methods pertaining to social networks. Class time will be devoted to learning principles, theoretical perspectives, and appropriate software packages (mainly those in R) for designing a study for gathering network data, and analyzing those data. The readings are a combination of introductory-level material, classic, scholarly readings in the field, and empirical studies that apply social network analytic techniques to topics relevant to the social sciences as a whole.

Course Offerings: No listing found

See department for more information

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See syllabus for more details.

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Contact Course Instructor.

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A professional practice seminar will be included to help prepare students for the work place. Topics will include development of a resume, physical preparation of a resume, choosing and helping reference writers, conduct of a successful interview, negotiating an employment package, giving professional presentations, proposal preparation, writing reports, codes of ethics and responsibilities to the broader community including ‘pro bono’ work. The course will include presentations from practitioners in the GIS field.

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This course covers project management methodology emphasizing implementing geographic information systems and integrating geospatial information sciences into broader projects. Topics include project initiation, planning, scope, scheduling, budgeting and risk management.

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Each student must undertake a project as a demonstration of his/her competence in geospatial science and technologies. The data and materials for this project can originate from an internship (internal or external to the department), or from relevant work experience at the student's current employer. The Department of Geographical Sciences will work with each student individually to determine the best mechanism for obtaining the necessary data and experience.

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Contact department for information on this course.

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