Key Information
Duration: 64 hours (32 hours of instructor-led lectures + 32 hours of supervised student work)
Level: Introductory to Intermediate
Target Audience: PhD students, Post-Docs, and researchers in hydrology; Hydrologists, geoscientists, environmental engineers, and researchers who want to develop scientific and geospatial models in Java.
Lecturers: Andrea Antonello, Giuseppe Formetta, and Riccardo Rigon
Enrollment: Please contact lorena.galante@unitn.it or giuseppe.formetta@unitn.it. While there is no tuition fee, registration is mandatory. Participation is limited to 20 attendees.
Learning Objectives
By the end of the course, participants will be able to:
Set up and manage a Java development environment for scientific applications.
Understand and apply core Java programming concepts.
Read, process, and analyse environmental and geospatial datasets.
Use mathematical libraries in Java.
Perform basic raster and vector spatial operations.
Integrate HortonMachine modules within GEOframe projects.
Develop and run a custom GEOframe environmental model.
Test different modelling solutions and evaluate their effects on hydrological variables.
Prerequisites
Basic familiarity with hydrology or geosciences.
Minimum experience using GIS software (e.g., QGIS), including basic handling of raster and vector data.
No prior Java programming experience required (though basic programming knowledge is beneficial).
Course Content
The course is organized into the following main modules:
1. Development Environment Setup
Installation and configuration of the Java Development Kit (JDK)
Project management with Apache Maven
Version control with Git and GitHub
Integrated Development Environment (IDE) configuration
2. Introduction to Java Programming
Basic syntax and control structures
Data types and data structures
Functions and exception handling
Input/output and parsing of environmental data
Debugging
3. Numerical Computing and Mathematical Libraries
Basic mathematical operations
Utilization of external libraries
Numerical applications for environmental data
4. Geospatial Data Analysis
Geographic data structures
Reading and writing raster and vector data
Coordinate Reference Systems (CRS)
Basic geospatial operations
5. Integration with HortonMachine and GeoTools
Utilizing existing modules
Building analysis workflows
Hydrological applications
6. Environmental Model Development
Designing Geoframe modules
Implementing a complete model
Execution and validation
Teaching Approach
The course is designed to be highly practical and hands-on, even during theoretical components. Concepts are introduced through concrete examples and immediately applied in guided exercises, ensuring participants learn theory by directly implementing and experimenting with code.
Short lectures are tightly integrated with practice, focusing on real-world hydrological and geospatial use cases. Participants spend the majority of the course actively developing, testing, and running Java and GEOframe modules.
Friday, May 8, 2026
Java for Hydrologists and Geoscientists (JfHG)
This intensive course introduces Java programming with a strong focus on hydrological and geospatial applications. Participants will learn how to set up a professional Java development environment, manage projects with Maven and Git, and progressively build environmental models using the GEOframe ecosystem, HortonMachine, and GeoTools. By the end of the course, attendees will be able to design, implement, test, and run custom geospatial and environmental models in Java. Testing different modelling solutions is also presented.
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