Online Classroom – Source Blended-Learning Short Courses


Overview

Source blended-learning training short courses offer you the flexibility of online learning with the benefits of real-time expert support. You will:

  • Attend live presentations and Q&A sessions with experienced eWater hydrologists and a small number of other students in real time without the expense and commitment of a face-to-face workshop.
  • Complete hands-on exercises in your own time, with sufficient space before subsequent presentations to practice and consolidate the knowledge you learned.
  • Review recordings of presentations to improve recall and strengthen understanding.
  • Share your modelling challenges and receive advice from eWater experts.

Short courses can be completed by themselves or can complement our face-to-face Source training workshops – you can attend a workshop (introductory or advanced) to become familiar with the broader concepts in Source, and then select follow-up blended-learning short courses that relate to your project or specific topics of interest. Use blended-learning to tailor your Source training to meet your needs.

Choose a scheduled short course or enrol in an open short course and we'll be in contact to arrange a time to begin your session.

Presentations will be live at 10:00 AM AEDT on the start date of the course (unless posted otherwise) and will be of approximately 2 hours duration. You'll then have all week to complete the tutorials and ask any questions. 

We'll be offering more topics throughout the year, but if you're after something particular, just let us know.


Registration

Enrol Online


Additional training

To help you get more out of Source for your modelling projects, we also offer customised courses. Please send us an enquiry.

Short Courses

Introduction to the Source User Interface and basic concepts

  • What are planning models?
  • What is the Source modelling platform?
  • How has Source been developed and used?
  • Introduction to the Source user interface.
  • Building a simple source model including:
    • Inflow, confluence and gauge nodes,
    • Links with no routing,
    • Links with lagged flow routing, and
    • Gauge data at the inflow nodes.

Configuring Storage Nodes and demands (in stream and extractive)

  • Configure a Source model with a storage node and minimum flow requirements, to answer such questions as:
    • Does the storage meet requirements? If not, how often does it fail?
    • How is flow impacted by development, in terms of magnitude and timing of flow?
  • Add a supply point and water user and explore the impacts of seasonal variation on water resources.

Introduction to flow constraints, ordering, complex flow paths and customising Source with functions

  • Introduction to functions, splitters and confluences, including:
    • Use functions to customise models, e.g. representing climate dependent demands, and
    • Configure splitters and confluences for use in regulated and unregulated systems.
  • Understand how Source manages orders and delivers water in response to orders:
    • Use maximum order nodes to represent flow constraints.

Source tools for efficient management of large models

The Source modelling framework can be used to create large, highly complex models. This course will explore some of the tools* we have created to help manage those models, such as:

  • Finding differences between two models or model versions using the diff tool
  • Configuring model performance, model settings and quality assurance checks using scenario, project and application options
  • Getting information about models and model history using export summaries and audit logs
  • Connecting models, including connecting catchment/rainfall runoff models to schematic water system planning models using import scenarios, scenario transfer nodes, and scenario results as data sources
  • Using scenario input sets to modify time series data and node, link and function parameters. When combined with the scenario configuration option and the ability to run Source via the command line, this is a powerful way to run models with varying input conditions and parameters. Input sets can also be used to create parent-child type scenarios.

Enrol Online

Please note some tools that you will see are only in the full version of Source

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