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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-otree/
课程评论：没有评论
课程名称：使用oTree学习实验开发 课程概述：oTree是什么？oTree是一个用于开发社会科学实验的框架，可用于在线和实验室环境。学习oTree的原因是什么？oTree是一个灵活的框架，后台使用Python，用户界面则借助HTML/CSS构建。由于这种灵活性，oTree成为社会科学实验的“一站式解决方案”。一旦掌握oTree，您就无需再使用其他实验软件。此外，Python在数据科学中的受欢迎程度迅速上升，因此您可以使用同一种编程语言来设计实验和分析数据。 为什么选择这门课程？因为oTree的灵活性，使得其入门有一定挑战。本课程旨在通过逐步介绍oTree来解决这一问题，从安装oTree到开发具有复杂功能的实验（如LivePages），内容覆盖广泛。 课程内容： - 安装oTree - oTree概述 - 开发简单的调查实验 - 多轮实验 - 多人实验 - oTree模板语言概述 - 使用HTML和CSS进行用户界面设计 - 随机化问题顺序 - 多种处理实验 - 响应式页面 - 使用JavaScript与oTree - 调试oTree实验 - 将实验部署到Heroku服务器 课程先决条件：本课程要求具备基本的Python知识。如果您从未接触过Python，建议查看Udemy上的免费Python课程。 目标受众：本课程面向从事实验经济学或其他实验社会科学的学术人员，适合学生与教职员工。
What is oTree?oTree is a framework to develop social science experiments which can be used both online an in the laboratory. Why learn oTree?oTree is a flexible framework that uses Python in the background and HTML/CSS to for the user interface. Because of this flexibility oTree is a one size fits all solution to social science experiments. Once you have mastered oTree you don't need to use any other experimental software again. Moreover, Python is rapidly gaining popularity in data science so you can use the same programming language to design your experiments and to analyse your data.Why this course? Because oTree is so flexible it can be challenging to get started with oTree. This course is designed to solve this problem by providing a step-by-step introduction into oTree that covers everything from installing oTree on your computer to developing experiments with complex oTree functionality such as LivePages.What is covered in this course?Installing oTreeOverview over oTreeDeveloping a simple survey experimentExperiments with multiple roundsMultiplayer experimentsOverview over the oTree template languageUser interface design with HTML and CSSRandomising the question orderExperiments with multiple treatmentsResponsive pages - Using JavaScript with oTreeDebugging oTree experimentsDeploying the experiment to a Heroku server What are the prerequisites for this course?The course requires basic knowledge of Python. If you have never worked with Python before, check out one of the many free Python courses on Udemy. Who is the target Audience for this course?This course is targeted at academics, who do experimental economics or another experimental social science. It is suitable both for students and faculty.
