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

    430.601.81 - Geographic Information Systems (GIS)

    $3782

    Heather Hicks

    Online 1/8 - 4/30

    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: $175.00

    430.602.81 - Remote Sensing: Earth Observing Systems and Applications

    $3782

    Kenneth (Jon) Ranson

    Online 1/8 - 4/30

    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: $175.00

    430.602.82 - Remote Sensing: Earth Observing Systems and Applications

    $3782

    Kenneth (Jon) Ranson

    Online 1/8 - 4/30

    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: $175.00

    430.604.81 - Spatial Analysis with GIS

    $3782

    Gergana Miller

    Online 1/8 - 4/30

    This course introduces students to using various techniques for solving spatial problems. The course teaches a proven process one can utilize to address common geographic inquiries including site suitability analysis, line of sight (visibility) analysis, network analysis, geostatistical analysis, spatial interpolation, etc. Students will also learn to apply the principles of 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: $175.00

    430.604.82 - Spatial Analysis with GIS

    $3782

    Gergana Miller

    Online 1/8 - 4/30

    This course introduces students to using various techniques for solving spatial problems. The course teaches a proven process one can utilize to address common geographic inquiries including site suitability analysis, line of sight (visibility) analysis, network analysis, geostatistical analysis, spatial interpolation, etc. Students will also learn to apply the principles of 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: $175.00

    430.607.81 - Spatial Databases and Data Interoperability

    $3782

    Alexander Stepanov

    Online 1/8 - 4/30

    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: 430.601 Geographic Information Systems, 430.603 Geospatial Data Modeling.

    Technology Fee: $175.00

    430.611.81 - Geospatial Ontologies and Semantics

    $3782

    Dalia Varanka

    Online 1/8 - 4/30

    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: 430.601 Geographic Information Systems

    Technology Fee: $175.00

    430.615.81 - Big Data Analytics: Tools and Techniques

    $3782

    Mansour Raad

    Online 1/8 - 4/30

    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 once a year. Prerequisites: 430.600 Web GIS, 430.601 Geographic Information Systems. Programming experience is highly recommended.

    Technology Fee: $175.00

    430.618.81 - Advanced Python Scripting for GIS

    $3782

    Paulus Zandbergen

    Online 1/8 - 4/30

    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: $175.00

    430.623.81 - Geo Apps

    $3782

    Brendan O'Neill

    Online 1/8 - 4/30

    The Geo Apps course is designed to reflect current developments in the GIS industry. The course will teach you to extend your reach beyond common desktop GIS workflows, allowing you to present information and tools to a broader audience. You will learn how to create information models for field and crowdsource data collection apps, best practices for publishing geospatial information and configuring a range of web and native applications, and how to create meaningful information products that match specific user needs. You will work with different types of 2D and 3D data in desktop, web, and mobile geo apps to simulate how GIS is being used in modern organizations. Offered once a year. Prerequisite: 430.601 Geographic Information Systems

    Technology Fee: $175.00

    430.800.81 - Capstone for Geographic Information Systems

    $3782

    Heather Hicks

    Online 1/8 - 4/30

    The capstone is the culmination of the instruction and training a student receives in the MS in GIS program. In this course, the student selects a mentor, identifies a topic of interest, acquires the relevant data required for the study, develops a data model and/or analysis method, devises the visualization of the data as part of the data interpretation, and summarizes the study in a final report. Students are encouraged to make their presentations at a GIS conference or publish the results of their study in a peer-reviewed GIS publication. Students are responsible for selecting a mentor who may be a JHU faculty member, a qualified and appropriate person from the student’s place of work, or any expert with appropriate credentials. Offered twice a year in Fall and Spring. Prerequisite: core course requirements for MS in GIS, at least eight courses taken in the program.

    Technology Fee: $175.00