COURSE CURRICULUM

The CVEN 5381–5396 course sequence in CU Denver’s Geomatics Engineering and GIS program forms a tightly integrated, industry-aligned technical curriculum designed to build end-to-end competency in modern geospatial engineering, combining data acquisition, processing, analysis, and management into a coherent professional skillset. It begins with foundational exposure in CVEN 5381 Introduction to GIS, where students learn core GIS concepts, spatial databases, cartographic principles, and applied spatial analysis through real-world engineering and planning problems, establishing the conceptual base for all subsequent courses. CVEN 5382 Geospatial Data Development then moves into the physical creation and transformation of geospatial datasets, emphasizing surveying, photogrammetry, GNSS/GPS, coordinate systems, and remote sensing workflows, giving students practical knowledge of how spatial data is collected and standardized. Building on this, CVEN 5383 GIS Analyses advances into higher-level spatial modeling, statistical and network analysis, GeoAI concepts, and machine learning applications in geospatial contexts, preparing students to interpret complex spatial datasets for decision-making. CVEN 5384 GIS Project Management adds an organizational and professional layer, training students in project governance, Agile and traditional management frameworks, stakeholder coordination, and enterprise GIS systems, which is critical for leadership roles in geospatial industries. CVEN 5385 GIS Relational Databases strengthens computational foundations by focusing on SQL, database architecture, spatial data storage, and integration of GIS with relational database systems, enabling scalable management of large geospatial datasets. CVEN 5386 GIS Laboratory consolidates technical and professional development through applied projects, cartographic design, ArcGIS Online workflows, and certification preparation, ensuring students can produce professional-grade GIS outputs. Advanced specialization is then offered through CVEN 5387 Advanced Remote Sensing, CVEN 5390 Web Mapping, CVEN 5391 Geomatics for GIS, CVEN 5392 Unmanned Aerial Systems, CVEN 5395 GNSS and GPS, and CVEN 5396 LiDAR/HDS systems, each focusing on a specific frontier technology in geospatial science, from satellite image analysis to drone-based mapping and high-precision positioning systems. Collectively, this curriculum is highly applied, STEM-intensive, and industry-driven, producing graduates capable of handling the full lifecycle of geospatial projects—from data capture and processing to advanced analytics and enterprise deployment—making it directly relevant for careers in GIS engineering, remote sensing, urban infrastructure, environmental monitoring, and spatial data science.