Course Schedule

The courses below are those offered for the term. (To view the course description, class dates & times, touch on accordion tab by the title.)

State-specific Information for Online Programs

Note: Students should be aware of state-specific information for online programs. For more information, please contact an admissions representative.

  • Online Courses

    472.600.81 - Introduction to Geospatial Intelligence

    $3897

    John O'Connor

    Online 9/5 - 12/18

    This course provides an overview of the four disciplines that have merged to create the new discipline of geospatial intelligence and an introduction to the content of the program. The history of imagery analysis and digital cartography, the art of turning observation into insight and communicating those insights to non-experts, the science behind the sensors and platforms, and the mathematics behind imagery collection sampling strategies. The course studies the issues, technologies, and changes over the past 60 years that have developed into geospatial intelligence, and it will introduce the students to the opportunities and challenges of geospatial intelligence as it has shaped intelligence collection, analysis, reporting, and policy decisions. The outcomes of success in this profession have created new industries, and the course will also review the effects of commercial imagery, smallsats, non-governmental collection, and remotely piloted sensors. Students will be introduced to the concepts that will be covered through the remainder of the Master’s program through the Capstone exercise.

    Technology Fee: $200.00

  • Online Courses (Cross-Listed)

    430.601.81 - Geographic Information Systems (GIS)

    $3782

    Heather Hicks

    Online 6:00 - 8:45; 9/5 - 12/18

    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.

    Technology Fee: $200.00

    430.604.81 - Spatial Analytics

    $3782

    Gergana Miller

    Online 6:00 - 8:45; 9/5 - 12/18

    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.

    Technology Fee: $200.00

    430.608.81 - GIS and Spatial Decision Support Systems

    $3782

    Paulus Zandbergen

    Online 6:00 - 8:45; 9/5 - 12/18

    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.

    Technology Fee: $200.00

    430.615.81 - Big Data Analytics: Tools and Techniques

    $3782

    Mansour Raad

    Online 6:00 - 8:45; 9/5 - 12/18

    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.

    Technology Fee: $200.00