This course is an introduction to the science of remote sensing. The course explores the techniques used to acquire, interpret, and process remotely sensed data. It provides a historical analysis of the technology, the interpretation of remotely sensed data, and the use of remote sensing data in GIS. Active and passive systems are explored as well as methodologies to transform and rectify remotely sensed raster data. Students explore applications of remote sensing using real-world examples and data. 01/07/2020-03/19/2020 Lecture/Laboratory Tuesday, Thursday 02:00PM - 04:50PM, Room to be Announced
Cooperative Work Experience. Provides students with on-the-job work experience in the field of geographic information systems. Variable Credit: 2-6 credits. Required: Student Petition. 01/06/2020-03/21/2020 Field Days to be Announced, Times to be Announced, Room to be Announced
This course introduces Python programming in connection with Geographic Information Systems (GIS). It focuses on automating processes, procedures, programming with GIS data types, and building custom functions using ESRI's ArcGIS software platform. It also provides the opportunity to build custom Python script tools that can be used and shared among GIS users. 01/06/2020-03/18/2020 Lecture/Laboratory Monday, Wednesday 05:00PM - 07:50PM, Room to be Announced
This class follows the introductory course as a continuation of desktop Geographic Information Systems (GIS) principles using the ArcGIS software platform. Topics explored include working with geodatabases (feature datasets, feature classes, subtypes, domains, etc), topology, vector and raster analysis, creating and editing data, and process automation using ModelBuilder. Students also practice key GIS project management processes, workflows, and best practices through an analysis project. 01/07/2020-03/19/2020 Lecture/Laboratory Tuesday, Thursday 05:00PM - 07:50PM, Room to be Announced