Bachelor of ScienceGeospatial Technology
The Geospatial Technology Bachelor of Science degree program is one of only a handful of programs of its kind in the nation and our graduates are in high demand.
Geospatial Technology is a collective term referring to technologies that collect, store, query, analyze, visualize and present spatial information.
With the explosion of access to spatial data and spatially enabled tools, such as cellular phones and vehicle navigation systems, these technologies are also quickly becoming an essential part of everyday lives. And there is a growing need for a workforce skilled in Geospatial Technology for a variety of disciplines in the environmental, commercial, political, social, medical, military and emergency response fields.
Industry partnerships for corporate faculty, substantive internships and project-based use of resources are a core component of the Harrisburg University Geospatial Technology program and a leading factor in preparing graduates for seamless integration into the workforce. Graduates can go on to local, state and federal government agencies, and these skilled individuals can be found employed in the private and non-profit sectors in a wide-range of related scientific and technical fields, such as agriculture and soils; archeology; biology; cartography; ecology; environmental sciences; forestry and range; geodesy; geography; geology; hydrology and water resources; land appraisal and real estate; medicine; transportation; urban planning and development, and more.
Graduates of the Bachelor of Science in Geospatial Technology program are able to:
- Determine and apply appropriate geographic positioning and data development technologies to college and accurately aggregate georeferenced observations, events, and features;
- Select and apply the analytical functions of geospatial software tools to support the geographic inquiry process and improve decision support;
- Design and develop geospatial software applications and databases for processing, analyzing automating tasks or adding value to geospatial data; and,
- Demonstrate professionalism within the geospatial technology industry through application of legal and ethical decision making, proactive engagement within the professional community and appropriate professional conduct.
Albert Sarvis, PMP, GISP Associate Vice President of Continuous Improvement and Program Lead of Geospatial Technology
This program requires a total of 47 semester hours. The semester hour value of each course appears in parentheses ( ).
This course has three specific ways of looking at the geography of the world: 1) World Geography – where regions of the world are examined based on human and physical features; 2) Applied Geography – which focuses on applying physical and human geography concepts to phenomenon such as environmental, political, and economic; and 3) how modern geospatial technology is changing the way geographic information is studied and used. Laboratory exercise include research and map exercises for world geography, worksheets and diagramming for physical geography exercises, and final project research into a selected applied geography topic of interest to each student.
This course focuses on the first of three primary Geospatial Technologies, Geographic Information Systems, but also introduces students to Remote Sensing and Global Positioning Systems (GPS). The course includes both lecture on concepts and applications as well as laboratory exercises designed to develop students abilities in core GIS functionality. GIS exercises include spatial data capture, storage, query, analysis display and map output using the industry standard, ArcGIS software. Practical applications of GIS to areas such as environmental analysis, land use planning, emergency management and fundamental mapping techniques. Students finish the course by completing a custom mapping project on a topic of interest to them.
The presentation of data is both an art and a science. The student uses GIS to produce high-quality maps that expose complex spatial information and relationships in a clear and easy-to-understand display. Cartographic concepts and techniques, used to create not only hard copy printed maps but also prepare cartographic data for modern devices such as web pages and digital media, are explored. The class emphasizes laboratory work and a final project that uses GIS from an initial map concept, through data collection and analysis, to a final product.
This course bridges the gap between the concepts and tools introduced in GSTC 140 and the more advanced functions of ArcEditor/ArcInfo, including spatial operations and data modeling. The student integrates diverse datasets, creates methodologies for data conversion/migration, and develops guidelines for spatial data quality control. The course continues to build competency in alternative GIS software solutions including Open Source GIS. Advanced modules of ArcGIS, including Spatial Analyst and 3D Analyst, will be introduced.
Through the use of geospatial technology examples, the current policy on managing data for public administration and public policy is explored. The student will utilize knowledge and skills in geospatial technology to understand the impact and constraints it places on both public and corporate policies. Knowledge of GIS is used to explore emerging public policy, professional standards, ethics, and future directions of geographic data.
This course is intended for the student who is interested in designing and implementing a spatial database also teaches them to write spatial queries that solve real-world problems through retrieving data from a spatially enabled database. The course is designed to cover the basics of the relational model for database management where data can be accessed and reassembled in different ways that are of relevance to both geographic and non-geographic context, the student will learn a domain-specific language such as Structured Query Language (SQL) to be able to manage data, it also gives the student a solid background in vector, raster, and topology-based Geographic Information System (GIS) in order to be able to analyzing, viewing, and mapping data.
This course focuses on critical evaluation of real world case studies to determine the appropriate spatial data and advanced-level geospatial technology and tools to analyze, replicate and improve upon past solutions. The student works independently and in teams to develop and apply geospatial problem solving skills to a range of real world scenarios. The growing requirement for the integration of GIS and 3-D building information modeling (BIM) for use in facilities management and emergency response is explored.
This course immerses the student into desktop GIS software design and creation. Building on skills acquired in prerequisites in both GIS and Computer Science, the student uses industry standard tools and technologies to design and create a functioning spatial desktop scripts and applications. The bulk of the classroom time will be spent on practical project in small groups with guidance from the instructor. The student must demonstrate a final project at the end of the semester.
Remote sensing through the use of satellites and other aircraft is the science of acquiring and analyzing information about feature or phenomena from a distance. Satellite-borne sensors observe, measure and record the electromagnetic spectrum reflected or emitted by the earth and its environment for subsequent analysis and extraction of the information. Applications for satellite remote sensing include military surveillance, oil, insurance, real estate, transportation, city planning, environmental monitoring and other uses. The student works with raster-based satellite and aerial images to manipulate and analyze the electromagnetic signatures gathered from this technology.
This course introduces the concepts and techniques of computer programming. Emphasis is placed on developing the student’s ability to apply problem-solving strategies to design algorithms and to implement these algorithms in a modern, structured programming language. Topics include fundamental programming constructs, problem solving techniques, simple data structures, Object-Oriented Programming (OOP), program structure, data types and declarations, control statements, algorithm strategies and algorithm development.
This course builds upon fundamental concepts of programming and introduces several more advanced concepts. Emphasis is placed on the practical applications of the techniques and structures, as opposed to abstract theory, in the hopes of rendering the content accessible and useful in the context of using programming as a tool to solve problems. Topics covered include the basics of Object-Oriented Programming (OOP), sorting and searching algorithms, and basic data structures. Offered Fall and Spring Semester, annually.
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