生态预测与动态:一门关于生态学中时间序列和预测基础的研究生课程

S. Ernest, Hao Ye, E. White
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“生态预测与动力学”是一门为期一学期的课程,旨在向学生介绍生态预测与动态的基础知识。本课程采用基于纸张的讨论,向学生介绍概念和想法,并提供基于R的实践应用和培训教程。课程材料包括一份带有讨论提示问题的阅读清单、指导讨论的教师笔记、现场编码演示的课堂笔记以及所有R教程的视频演示。本课程材料可用于自主学习,也可作为学院或大学课程的全部或部分内容。个人学习者可以访问网站上的所有必要材料,包括讨论问题和讲师笔记。该课程的重点是开放获取或免费阅读的论文,尽管有些材料仍然依赖于封闭获取的论文。该课程每周两次,大部分时间包括一小时的论文讨论会和1-2小时的R.R应用程序讨论会。教程使用公开的生态数据集来提供现实的应用程序。由于材料是围绕内容主题组织的,教师可以根据课程目标和学生的背景知识水平修改和重新混合材料。这些课程材料已经在作者所在的大学教授了几年,并在网上与课程视频进行了数万次的互动。
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Ecological Forecasting and Dynamics: A graduate course on the fundamentals of time series and forecasting in ecology
‘Ecological Forecasting and Dynamics’ is a semester-long course to introduce students to the fundamentals of ecological forecasting & dynamics. This course implements paper-based discussion to introduce students to concepts and ideas and R-based tutorials for hands-on application and training. The course material includes a reading list with prompting questions for discussions, teachers notes for guiding discussions, lecture notes for live coding demonstrations, and video presentations of all R tutorials. This course material can be used either as self-directed learning or as all or part of a college or university course. Individual learners have access to all of the necessary material - including discussion questions and instructor notes - on the website. The course focuses on papers with an open-access or free-to-read version where possible, though some materials still rely on access to closed-access papers. The course is structured around two sessions per week, with most weeks consisting of a one hour paper discussion session and a 1-2 hour session focused on applications in R. R tutorials use publicly available ecological datasets to provide realistic applications. Because the material is organized around content themes, instructors can modify and remix materials based on their course goals and student levels of background knowledge. These course materials have been taught for several years at the authors’ university and have also generated significant online engagement with course videos tens of thousands of times.
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