Introduction to Gis
A.Y. 2026/2027
Learning objectives
The aim of the course is to provide the basic knowledge needed to use GIS tools to analyze various types of spatial data, which is useful both from a professional perspective and as a prerequisite for some master's degree programs.
Expected learning outcomes
The skills acquired include the basic concepts needed to understand the structure of information systems, the main types of georeferenced data, the reference and coordinate systems used to represent them, and basic operations.
Lesson period: Second semester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
Two basic theoretical lessons:
- Reference systems, coordinate systems, height datums
- Digital geographic data: raster, vector, and table formats
- GIS environments (QGIS and ARCGIS)
- Basic functions: uploading, viewing, and categorizing georeferenced data
Four practical lessons on different types of georeferenced data analysis using various geoprocessing tools:
- Mixed use of vector and raster data for territorial analysis (use of select, buffer, clip, intersect tools, etc.)
- Digitizing new features and calculating areas, perimeters, and zonal statistics.
- Using digital terrain models for geomorphological analysis (selecting elevations, slopes, and aspects). Interpolating elevations from point data.
-Example of processing of multispectral satellite images and indices (raster calculator, merge functions, mask, etc.).
- Reference systems, coordinate systems, height datums
- Digital geographic data: raster, vector, and table formats
- GIS environments (QGIS and ARCGIS)
- Basic functions: uploading, viewing, and categorizing georeferenced data
Four practical lessons on different types of georeferenced data analysis using various geoprocessing tools:
- Mixed use of vector and raster data for territorial analysis (use of select, buffer, clip, intersect tools, etc.)
- Digitizing new features and calculating areas, perimeters, and zonal statistics.
- Using digital terrain models for geomorphological analysis (selecting elevations, slopes, and aspects). Interpolating elevations from point data.
-Example of processing of multispectral satellite images and indices (raster calculator, merge functions, mask, etc.).
Prerequisites for admission
Basic functions of a PC
Teaching methods
Short lectures on the basics of cartography and georeferenced data formats, and exercises using test data provided by the teacher.
Teaching Resources
course slides
Assessment methods and Criteria
To receive course accreditation, students must have attended most of the lectures/exercises and be able to produce a simple layout with a case study map. A successful evaluation will result in a successful completion of the course.
CEAR-04/A - Geomatics - University credits: 1
Exercises: 12 hours
Lessons: 2 hours
Lessons: 2 hours
Professor:
Sona Giovanna
Shifts:
Turno
Professor:
Sona GiovannaProfessor(s)