Experiences with a Socio-Environmental Modeling Course

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>In a social-environmental modeling course, students need to learn complementary skills that include the conceptualisation of a model, different modeling paradigms, computer pro- gramming, and the process of rigorously converting ideas and data into a computational program using a given toolkit. Such topics need to be taught in parallel in order to keep a heterogeneous audience motivated. Based on the experience with multidisciplinary au- diences, this paper describes a socio-environmental modeling course that explores three modeling paradigms: </span><span>System dynamics</span><span>, </span><span>Cellular automata</span><span>, and </span><span>Agent-based modeling</span><span>. We also present a small tutorial with some examples developed for the course. </span></p></div></div></div>