While the emphasis will be on obesity, the goal will be to explore ways in which the systems approach can be applied to other non-communicable diseases both nationally and internationally.Ī) the epidemiology of obesity across time and place,ī) theories to explain population obesity,Ĭ) the role of environments and economic resources in obesityĬ) basic concepts and tools of systems science,ĭ) modeling energy-balance related behaviors in context,Į) agent-based models, systems dynamic models, and social network models Visualiser le programme de cours The central organizing idea of the course is to examine the obesity epidemic at a population level as an emergent properties of complex, nested systems, with attention to feedback processes, multilevel interactions, and the phenomenon of emergence. There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo). This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. However, it is just beginning to impact public health. If you are just beginning with AnyLogic, don’t miss our Getting Started page and make sure to check out the AnyLogic communities.Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis. It is ideal for leaning the art of simulation modeling. You can also keep up with their tips, tricks and insights by following them on LinkedIn,ĪnyLogic Personal Learning Edition (PLE) is the free version of AnyLogic without time limitations. If you want to learn more tips and tricks from Jaco-Ben, and fellow simulation modeler Vitor Lemos, check out their blog about building better models in AnyLogic on their website: The AnyLogic Modeler. If you are interested in taking the course, you will find it on Udemy:įor academic and student enquiries, please contact The AnyLogic Modeler to inquire about available discounts. Learning Java helps produce more robust, extendable, and reliable models for solving complex problems. This course is the first part of a series aimed at providing a solid Java programming skill set to AnyLogic users. You will start by learning the basics of Java and then move on to more complex features, like data structures, and finish by learning and implementing complex concepts, such as Inheritance, polymorphism, and other Java features that extend AnyLogic's capabilities.Ĭourse introduction video: Java for AnyLogic The course is structured from simple topics, like variables in Java, to more complex ideas, such as Class Inheritance. The Java for AnyLogic course is for beginner to intermediate AnyLogic users who want to learn how to use the Java programming language and Object-Oriented Programming principles to more quickly make better and more efficient models. The course introduced here is a new way to gain that knowledge.Īdapted from a post originally appearing on The AnyLogic Modeler. Knowing a little Java can really level up your simulation modeling in AnyLogic. While you may have heard of Python scripting in AnyLogic, Java is the original, and currently the only fully-supported, scripting language. This is a guest post from Jaco-Ben Vosloo and Vitor Lemos, co-founders of The AnyLogic Modeler.
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