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

    John O'Connor

    Online 1/22 - 5/5

    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

    472.611.81 - Analyzing Social Media and Geospatial Information

    Veli-Pekka Kivimaki

    Online 1/22 - 5/5

    Social media is now present globally in everyday life, and in conflicts. With its reach, social media has also become an increasingly meaningful information source for scholars, advocacy groups, intelligence agencies, and others who are interested in shaping public discourse. This course introduces students to social media as part of present day open source information gathering, and how to plan collection and conduct analysis of information from social media. The course covers the operations security considerations, monitoring real time events, verification of online material, basics of social network analysis, and how to work with imagery sourced from social media, including geolocation of imagery. Automation and the limits of it in different phases of the process, and future developments in social media exploitation will also be discussed. During the course, students will conduct a hands-on investigation using social media data.

    Technology Fee: $200.00

    472.612.81 - Geospatial Analysis: Communicating with Multiple Audiences

    Renny Babiarz

    Online 1/22 - 5/5

    The course will cover the art of communicating geospatial intelligence in writing, photographs or images, and mapping. It will address the challenges of communicating technical information and intelligence from satellites, aircraft, and drones, into text, combinations of text, graphics, maps, and data base,. The students will perform their own analysis, and convert their intelligence discoveries into data bases, reporting, analysis, briefings, and video-based presentations.

    Technology Fee: $200.00

    472.800.81 - Capstone in Geospatial Intelligence

    John O'Connor

    Online 1/22 - 5/5

    The Capstone is the culmination of the instruction and the learning in the program. It provides the students an opportunity to demonstrate their applied knowledge of the four disciplines of geospatial intelligence—the history of the profession, the science of the sensors and platforms, the art of analysis and geospatial communication, and the mathematics of collection sampling strategies. In this semester-long experience, the student selects a mentor/advisor, identifies a geospatial issue of interest, defines a collection strategy, an analytic methodology, a reporting strategy, and a written summary product and presentation.

    Technology Fee: $200.00

  • Online Courses (Cross-Listed)

    430.601.81 - Geographic Information Systems (GIS)

    Heather Hicks

    Online 6:00 - 8:45; 1/22 - 5/5

    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.

    430.602.81 - Remote Sensing: Systems and Applications

    Kenneth (Jon) Ranson

    Online 6:00 - 8:45; 1/22 - 5/5

    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.

    Technology Fee $200.

    430.603.81 - Geospatial Statistics

    Orhun Aydin

    Online 6:00 - 8:45; 1/22 - 5/5

    This course introduces theory and practical application of statistical methods in spatial analysis. Statistical fundamentals will be introduced to expose students to descriptive and inferential methods in spatial statistics. Geostatistical fundamentals will also be covered to introduce methods (in particular, kriging) for modelling spatial and spatio-temporal phenomena. This course will provide working knowledge of theory and practice in spatial statistics and Geostatistics, and will serve as a primer to more advanced courses in spatial statistics and machine learning. Theoretical knowledge will be supplemented with real-world use cases through in-class projects and assignments. Throughout the course, students will be exposed to open-source statistics libraries in R, no previous programming knowledge will be assumed. Offered twice a year.

    Technology Fee $200.

    430.604.81 - Spatial Analytics

    Gergana Miller

    Online 6:00 - 8:45; 1/22 - 5/5

    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. Examples and assignments are drawn from many 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.

    430.606.81 - Programming in GIS

    Paulus Zandbergen

    Online 6:00 - 8:45; 1/22 - 5/5

    In this course students will learn how to automate workflows and develop tools using Python as a fundamental language for geospatial technology. The course will first cover introductory python basics, then move into geospatial concepts. It will teach students how to automate simple and complex GIS tasks and functionality, thus simplifying workflows and increasing efficiency. Focus will be placed on following proper coding techniques and patterns. The course will introduce students to Python, ArcPy, Python API, Pandas, Numpy, Jupyter, and Markdown to name a few. Offered twice a year. Prerequisites: 430.600 Web GIS

    Technology Fee $200.

    430.610.81 - GIS for Infrastructure Management

    Mark Washington

    Online 6:00 - 8:45; 1/22 - 5/5

    This course will familiarize students with applications of Geographic Information Systems (GIS) for infrastructure management. Building, utilizing and sharing reliable asset information and integrating enterprise data will be emphasized, in order to help stakeholders make informed decisions and capitalize on efficiencies of using GIS to support various kinds of facilities and infrastructure. Students will have the opportunity to use GIS applications to do project work in support of facility operations, strategic planning, real estate management, architecture design and construction, sustainability, utilities, buildings and interior space management, drones mapping, among others. Samples will be drawn from large university enterprise with multiple campus locations yet applicable to cities and various other settings. Research and spatial analysis will be conducted using recently acquired GIS orthoimagery, LIDAR and planimetric data for the Johns Hopkins' own Homewood campus. Prerequisite: 430.601 Geographic Information Systems.

    Technology Fee $200.

    430.618.81 - Advanced Python Scripting for GIS

    Andrew Chapkowski

    Online 6:00 - 8:45; 1/22 - 5/5

    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.

    Technology Fee $200.

    430.627.81 - Artificial Intelligence and Machine Learning in Geospatial Technology

    Mansour Raad

    Online 6:00 - 8:45; 1/22 - 5/5

    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.

    Technology Fee $200.

    470.748.81 - The Art & Practice of Intelligence

    Cynthia Storer

    Online 6:00 - 8:45; 1/22 - 5/5

    This course introduces students to the field of intelligence, particularly as practiced in the United States. After a brief overview of the historical foundations of modern intelligence, it discusses how intelligence was conducted during the 20th century including collection, analysis, counterintelligence, covert action, and oversight. It then discusses the disruptive influences of September 11, the Iraq War, and new technologies. The course concludes with a discussion of the “democratization of intelligence."

    Technology Fee: $200.00

  • Washington DC Center (Cross-Listed)

    470.711.51 - Intelligence: From Secrets to Policy

    Mark Lowenthal

    Monday 5:45 - 8:30; 1/27 - 5/4

    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.”

  • Homewood Campus (Cross-Listed)

    430.629.01 - Drones in Geospatial Decision Making

    James Blanchard

    Online 6:00 - 8:45; 3/11 - 5/5
    Monday 9:00 - 5:00; 4/27 - 4/27
    TWTh 9:00 - 5:00; 4/28 - 4/30

    This compressed format field course will explore current and future techniques of close-range remote sensing utilizing unmanned aerial vehicles (UAVs or drones) for environmental monitoring, urban cybersensing, and infrastructure assessment related to emergency response, leading to FAA Remote Pilot Certification to operate UAVs for commercial, professional, and research purposes. The course will focus on four basic objectives: (1) demonstrating knowledge and operational skills to successfully execute data acquisition using a variety of UAV remote sensing collection devices; (2) applying different methods of data acquisition and processing to identify, cross-validate and interpret data collected from UAV sensors; (3) discussing existing and emerging trends of UAV applications in various academic and professional situations, and (4) synthesizing and extrapolating data from these novel collection techniques to solve real-world problems. Students will act as flight crewmembers and scientific crew on numerous daily missions during the field portion of the course. Prerequisite: 430.600 Web GIS, or 420.603 Environmental Applications of GIS, or introductory GIS course.