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= SELES 100 level modules: introduction and basics =
= SELES 100 level modules: introduction and basics =


== SELES 100: The Basics ==
== SELES 101: The Basics ==


In this tutorial you will learn how to run models in SELES.
In this tutorial you will learn how to run models in SELES.


[[SELES100l01|Lesson 1. SELES Overview and Landscape Modelling]]
[[SELES101l01|Lesson 1. SELES Overview and Landscape Modelling]]


[[SELES100l02|Lesson 2. Running a simple model: SELES User Interface 1]]
[[SELES101l02|Lesson 2. Running a simple model: SELES User Interface 1]]


[[SELES100l03|Lesson 3. Under the hood: SELES model structure 1]]
[[SELES101l03|Lesson 3. Under the hood: SELES model structure 1]]


[[SELES100l04|Lesson 4. SELES LS Editor]]
[[SELES101l04|Lesson 4. SELES LS Editor]]


[[SELES100l05|Lesson 5. Loading and Exploring Data 1]]
[[SELES101l05|Lesson 5. Loading and Exploring Data 1]]


[[SELES100l06|Lesson 6. Markov Chain Models]]
[[SELES101l06|Lesson 6. Markov Chain Models]]


[[SELES100l07|Lesson 7. Simple Spreading Models]]
[[SELES101l07|Lesson 7. Simple Spreading Models]]


== SELES 101: Model Exploration ==
== SELES 102: Model Exploration ==


In this module you will learn run and modily a simple model in SELES.  
In this module you will learn run and modily a simple model in SELES.  


[[SELES200l01|Lesson 1. Overview of a Simple Patch Model]]
[[SELES202l01|Lesson 1. Overview of a Simple Patch Model]]


[[SELES200l02|Lesson 2. Data exploration and running the Simple Patch Model]]
[[SELES202l02|Lesson 2. Data exploration and running the Simple Patch Model]]


[[SELES200l03|Lesson 3. Under the hood: what's inside the Simple Patch Model]]
[[SELES202l03|Lesson 3. Under the hood: what's inside the Simple Patch Model]]


[[SELES200l04|Lesson 4. Patch Model Output: Landscape Metrics]]
[[SELES202l04|Lesson 4. Patch Model Output: Landscape Metrics]]


[[SELES200l05|Lesson 5. Patch Model Output: Animation]]
[[SELES202l05|Lesson 5. Patch Model Output: Animation]]


= SELES 200 level modules: intermediate modelling techniques =
= SELES 200 level modules: intermediate modelling techniques =
These modules are still in the planning stages.


= SELES 300 level modules: advanced modelling techniques =
= SELES 300 level modules: advanced modelling techniques and applications =


== SELES 300: Advanced Modelling Techniques ==
These modules are still in the planning stages. Maybe after this fall's SELES course we'll have a better idea what should go here.


This tutorial is still in the planning stages. Maybe after this fall's SELES course we'll have a better idea what should go here.
== SELES 301: Connectivity analysis using spatial graphs ==
 
= SELES 400 level modules: advanced applications =

Revision as of 20:48, 6 September 2006

Here are a series of tutorials grouped into 'modules'. Each modules consists of a set of lessons. Each lesson should take approximately 1 hour, and includes some lecture material, exercises and a quiz.

SELES 100 level modules: introduction and basics

SELES 101: The Basics

In this tutorial you will learn how to run models in SELES.

Lesson 1. SELES Overview and Landscape Modelling

Lesson 2. Running a simple model: SELES User Interface 1

Lesson 3. Under the hood: SELES model structure 1

Lesson 4. SELES LS Editor

Lesson 5. Loading and Exploring Data 1

Lesson 6. Markov Chain Models

Lesson 7. Simple Spreading Models

SELES 102: Model Exploration

In this module you will learn run and modily a simple model in SELES.

Lesson 1. Overview of a Simple Patch Model

Lesson 2. Data exploration and running the Simple Patch Model

Lesson 3. Under the hood: what's inside the Simple Patch Model

Lesson 4. Patch Model Output: Landscape Metrics

Lesson 5. Patch Model Output: Animation

SELES 200 level modules: intermediate modelling techniques

These modules are still in the planning stages.

SELES 300 level modules: advanced modelling techniques and applications

These modules are still in the planning stages. Maybe after this fall's SELES course we'll have a better idea what should go here.

SELES 301: Connectivity analysis using spatial graphs