430.601 – Geographic Information Systems (GIS)
In this introductory course, students become familiar with the concepts and gain the experience necessary to appreciate the utility of Geographic Information Systems in decision-making. Topics covered include the fundamentals of data structures, georeferencing, data classification, querying, cartography, and basic spatial data analysis. The course provides an overview of the capabilities of GIS software and applications of GIS. Class time is divided between lectures and GIS exercises that reinforce critical concepts. Students must complete a term project as part of the course. Offered every semester. Elective option for Govt. Analytics students.
430.602 – Remote Sensing: Systems and Applications
This course introduces remote sensing as an important technology to further our understanding of Earth’s land, atmospheric, and oceanic processes. Students study remote sensing science, techniques, and satellite technologies to become familiar with the types of information that can be obtained and how this information can be applied in the natural and social sciences. Applications include assessment of land cover and land use, mapping and analysis of natural resources, weather and climate studies, pollution detection and monitoring, disaster monitoring, and identification of oceanographic features.Offered once a year in Spring.
430.603 – Geospatial Data Modeling
This course moves beyond the fundamentals of GIS to explore the constraints surrounding data modeling as well as the methods to model spatial data. The course focuses on various kinds of spatial data, how it is collected, handled, processed, and analyzed through GIS technologies. Data conversion, migration and relevant modeling methods are examined. Spatial and attribute accuracy as a requirement for any data model is emphasized. As the term progresses, students deal extensively with different types of data presentations and the manipulation of those data in GIS models. Students develop a significant GIS project over the course of the semester and present their findings at the end.Offered twice a year.
430.604 – Spatial Analytics
This course introduces students to using various techniques for solving spatial problems. The course teaches a proven process one can utilize to address common inquiries related to understanding spatial relationships and patterns. Traditional analytical methods such as suitability analysis, network analysis, geostatistical analysis, spatial interpolation, etc. are examined, along with recent data science and analytics methodologies that help us extract knowledge and insights from data. Students will also use spatial statistics to address the distributional and locational aspects of spatial data within a variety of situations. Examples and assignments are drawn from many GIS applications, such as business, urban planning, public safety, public health, transportation and natural sciences. Offered twice a year. Elective option for Govt. Analytics students.
430.612 – Cartographic Design and Visualization
The Cartographic Design and Visualization course focuses on the fundamentals of cartography, spatial statistics, thematic mapping techniques, 3D mapping, and web based mapping. Students will gain an inter-disciplinary understanding of cartographic representation and visualization with hands on applications using cutting edge GIS and graphic design software to create purpose tailored maps. Upon successful completion of this course, students will be able to interpret and appropriately communicate spatial data; will have developed a personalized cartographic style; will have created a professional GIS portfolio for current/potential employers; and most importantly will have developed a keen appreciation for maps and spatial awareness! Offered once a year. Prerequisite: 430.601 Geographic Information Systems.
430.600 – Web GIS
Web GIS is an important foundation course in which students will become familiar with the current platforms available for delivering Web GIS and sharing geographic content over the web. Professionals in various industries often have to make information readily available and with current developments this has become easier than ever. The class offers a fundamental understanding of creating and designing web maps and web apps using various approaches and platforms. Capabilities such as editing, geoprocessing, geocoding, image analysis, 3D, mobile and real-time GIS in a web environment will be examined. Cloud-based and on premises infrastructure to deliver Web GIS will be utilized. Offered twice a year.
430.606 – Programming in GIS
430.607 – Spatial Databases and Data Interoperability
A well-designed database is necessary to construct relevant spatial data queries. In this course, students learn the different database designs for stand-alone databases and enterprise database systems. This course examines the requirements for a GIS Decision Support System by focusing on the design of the data schema, identifying the necessary data elements and their formats, and exploring data interoperability as a designed constituent of a database. Data management routines for maintaining the spatial integrity will also be introduced. Offered once a year. Prerequisites: 430.600 Web GIS.
430.608 – GIS and Spatial Decision Support Systems
GIS can be a very effective tool to assist in making decisions for a wide range of applications at the local, regional, and global scale. This course will examine the use of GIS as a spatial decision support system for systematic policy analysis and scenario modeling. Case studies will be used from the areas of agriculture, conservation planning, homeland security, land use planning, natural disasters, transportation, urban planning, and water resources. Offered once. a year. Prerequisites: 430.601 Geographic Information Systems, 430.604 Spatial Analysis with GIS.
430.611 – Geospatial Ontologies and Semantics
The Geospatial Semantics and Ontologies course examines the foundations, design, and use of linked data (LD) modeling technologies and approaches for geospatial data. LD is based on the node-edge-node triple data model to form graphs that can represent information networks and so, addresses challenges associated with information management problems such as the use of variable terms used in GIS applications and their associations within related enterprises and information exchange over the Internet. The introduction to the course presents a general approach to semantics and ontology, and basics of information interchange on the Internet, such as Extensible Markup Language (XML) and its extension Geography Markup Language (GML). Standards for formal information semantics are covered, including serialization for Resource Description Framework (RDF) data, Well Known Text (WKT) for specifying coordinate geometries, SPARQL and GeoSPARQL query language, and Web Ontology Language (OWL) for logical reasoning and data inference. The triple model is compared to natural language, tree, and relational table data models. Exercises are intended to explore LD resources and services over the Internet. Subsequent lessons examine LD architectures and publication, ontology pattern design for the reuse of concepts, and visualization and mapping. The relation of LD to CyberGIS is presented in the final week. Some required technical literacies, such as Java Script Object Notation (JSON), data indexing, and Scalable Vector Graphics (SVG) will be reviewed. These introductory skills provide the foundation of advanced geospatial LD applications. Offered once a year. Prerequisite: 430.600 Web GIS.
430.613 – Advanced Topics in Remote Sensing
This course explores the various remote sensing platforms, collection systems, processing methods, and classification approaches to remotely sensed data. Course content includes the Electromagnetic Spectrum, Lidar, Interferometric SAR, Sonar, Unmanned Autonomous Vehicles (drone technology), 2D vs. 3D modeling, volumetric analysis, ecological research with remote sensing and applications of technology and datasets in GIS models. Offered once a year. Prerequisite: 430.602 Remote Sensing: Systems and Applications.
430.615 – Big Data Analytics: Tools and Techniques
The explosion of data collection methods from a vast array of data sources in volumes previously unimaginable has tested the limits of traditional technology, which are not able to scale to the requirements of massive data. Big Data is the field of data studies where the data is identified by very large volumes, high velocity in data generation, and data format variety. This course explores Big Data technologies while utilizing cloud infrastructures. We will discuss the characteristics and architectural challenges surrounding Big Data, and explore geo-visualization techniques of data processed using Big Data Analytics. Students will work in a cloud computing environment to build Hadoop clusters, NoSQL databases, and work with other open source technologies to process data stores like Census data, and twitter feeds. Offered twice a year. Prerequisites: 430.600 Web GIS, 430.606 Programming in GIS. Python programming experience is highly recommended.
430.618 – Advanced Python Scripting for GIS
This course focuses on advanced uses of Python as a scripting tool to automate workflows in GIS and create customized applications. This includes the development of script tools, utilizing advanced ArcPy modules, working with third-party modules, implementing Python geoprocessing services, customizing GIS applications, and more advanced Python functionality. Offered once a year. Prerequisites: 430.606 Programming in GIS.
430.619 – Web Application Development
430.621 – GIS for Emergency Management
Geographic Information Systems (GIS) have become an integral part of understanding the natural hazards in our world and how emergency management agencies respond to events and mitigate the impact of disasters. Furthermore, the advent of Web GIS has helped agencies overcome many challenges previously associated with GIS in Emergency Management. This course is an opportunity to learn about the use of GIS in studying natural hazards and apply cutting edge GIS technology to help emergency management agencies in the field. In today’s device-driven world, maps need to work on mobile devices so there will be an emphasis on enabling GIS in the field. You will use Web GIS to deploy maps that assist agencies with their incident command functions: Planning, Operations, Logistics, Command, and Public Information. While the industry focus will be on Emergency Management, the knowledge, skills and abilities you develop will be widely applicable in both public and private sector industries. Offered once a year. Prerequisite: 430.601 Geographic Information Systems or permission of the instructor.
430.627.81 – Artificial Intelligence and Machine Learning in Geospatial Technology
The transformational impact of artificial intelligence and machine learning in geospatial data science is profound. This course presents a hands-on approach of applying automated modeling and predictive analytics to solve problems. Smart capabilities are powered by machine learning and GeoAI through the use of correlations of pattern detection to build predictive models and classify outcomes for data never seen before. Use cases from various sectors focusing on prediction and optimization, finding patterns and correlations, advanced object detection and automatic feature extraction, are examined. Offered once a year. Prerequisites: 430.606 Programming in GIS. Python programming experience is required.
470.696 – Ethics and Privacy in Intelligence Operations
This course will address the ethical dilemmas and privacy issues that challenge intelligence and government decision makers in an increasingly complex operational and technological environment. We will examine basic moral, ethical and privacy considerations from all sides at several key points in intelligence operations from collection to covert action. The course will analyze the evolving nature of privacy concerns worldwide, with an emphasis on the balance between individual rights and national security needs as executed by intelligence agencies. Students will examine the policy implications inherent in seeking to address these issues. The readings will include diverse and opposing viewpoints as well as practicums and simulations to allow debate of the key positions in “real world” situations. Prior enrollment in 406.665 “The Art and Practice of Intelligence” or 470.711 “Intelligence: From Secrets to Policy” is strongly encouraged.
470.719 – Technical Collection of Intelligence
This course covers the application of remote sensing technology to intelligence issues to include geospatial intelligence (GEOINT), measurements and signatures intelligence (MASINT) and signals intelligence (SIGINT). It examines the tradeoffs associated with the use of different imaging, radar, and passive radiofrequency sensors and collection platforms. The methods for processing, exploiting and analyzing raw intelligence data collected by different types of sensors are discussed. The final segment of the course investigates the management issues associated with remote sensing in intelligence.
470.748 – The Art & Practice of Intelligence
This course will examine what intelligence is and how it is done particularly from an American-British perspective. Drawing on historical examples, the course will look at the various types of intelligence collection and how they interact with each other. It will explore the analytic process and the interface between analysts and policymakers. It will place a strong emphasis on effort on the limits of the possible including limits on knowledge, ethical limits, and political limits.
470.711 – Intelligence: From Secrets to Policy
This course examines the role that intelligence plays in the formation of national security policy. The course explores the forces and events that have shaped U.S. intelligence. It examines the steps involved in producing intelligence from requirements through collection, analysis and the actual making of policy. The role of intelligence in the major intelligence issues facing the United States today will be discussed as well. The main text for the course will be Dr. Lowenthal’s book of the same title published by CQ Press which has been called the “best introduction to the role of the U.S. intelligence community in the national security policy-making process.”
470.601 – Climate Change and National Security
This course provides an in-depth examination of how the effects of climate change could impact national security, international relations, and global stability. Students will begin by examining and discussing the current body of academic literature. As the semester progresses, students will learn and practice how to use cross-disciplinary resources and tools to envision potential relationships between climate change effects and security outcomes.
470.697 – Intelligence and Counterterrorism
Counterterrorism is essentially an intelligence war. By definition, both sides use small forces and clandestine means, hiding their presence and activities not only from each other, but often from friends and allies as well. This course will explore the many roles of intelligence in every facet of counterterrorism, and ask students to evaluate their practical, legal, and moral effects and implications. It will also look at the terrorists’ own intelligence activities, and the “intelligence race” between terrorists and counterterrorists. There are no pre-requisites for this course. However, students would be well served to have a basic familiarity with intelligence and terrorism before the class starts.
470.752 – Intelligence Analysis
Intelligence analysis is fundamentally about understanding and communicating to decision makers what is known, not known, and surmised, as it can best be determined. Students will read seminal texts on intelligence analysis, discuss the complex cognitive, psychological, organizational, ethical, and legal issues surrounding intelligence analysis now and in the past, and apply analytic methodologies to real-world problems. Prerequisite: One of the following: 470.620 “Introduction to Intelligence in the Five Eyes Community,” 470.711.51 “Intelligence: From Secrets to Policy,” AS.470.748.51 “The Art and Practice of Intelligence,” or permission of instructor.
470.792 – Social Science in National Security and Intelligence