Learning Outcomes
Program Learning Outcomes
The GIS courses in the program were designed to meet the learning objectives outlined in the US Department of Labor geospatial technology competency model (GTCM) (https://www.careeronestop.org/competencymodel/competency-models/geospatial-technology.aspx). GTCM categorizes competencies into five major tiers. Tiers 1, 2, and 3 include foundation competencies. Tiers 4 and 5 are geospatial industrial specific technical competencies. Here are the tiers:
Tier 1 – Personal Effectiveness Competencies - soft skills
Tier 2 – Academic Competencies - cognitive functions and thinking styles
Tier 3 – Workplace Competencies - motives and traits, interpersonal and self-management styles
Tier 4 – Industry-Wide Technical Competencies - cross-cutting knowledge, skills, and abilities needed by workers within the geospatial technology industry
Tier 5 – Industry-Sector Technical Competencies - knowledge, skills, abilities and other characteristics that are specific to a specific segment in the geospatial technology industry.
The specific segments in the geospatial technology industry include:
Positioning & Data Acquisition,
Analysis & Modeling, and
Software & Application Development.
The existing GIS curriculum at PSU offers GIS industrial-wide and sector-specific training with strengths in key GIS competencies. Students who complete the program will be able to master a majority of the following GIS competencies:
Knowledge of the conceptual foundation of GIS and basic analytical operations
Familiarity with geospatial software tools
Knowledge of geospatial data models and quality
Map projection and coordinate systems
Map production and cartographic representation techniques
Overlay and site suitability analysis and modeling
3D and terrain modeling and analysis
Automate geospatial analysis methods
GIS scripting languages
Spatial database design and query languages
Field data collection and integrate GNSS/GPS position data
Photogrammetry
Unmanned aircraft systems (UAS) for mapping
Remote sensing systems and data
Remotely sensed image classification and analysis
In addition, students who complete the program are expected to master the following general competencies.
Interdisciplinary perspective
Geographic and spatial reasoning and literacy
Communication in writing, numeracy, oral, visual, and video presentation
Critical thinking and problem solving skills
GIS professional competence and conduct
Research skills, methods, and ethics