We describe an ecosystem for teaching data science (DS) to engineers which blends theory, methods, and applications, developed at the Faculty of Physical and Mathematical Sciences, Universidad de Chile, over the last three years. This initiative has been motivated by the increasing demand for DS qualifications both from academic and professional environments. The ecosystem is distributed in a collaborative fashion across three departments in the above Faculty and includes postgraduate programmes, courses, professional diplomas, data repositories, laboratories, trainee programmes, and internships. By sharing our teaching principles and the innovative components of our approach to teaching DS, we hope our experience can be useful to those developing their own DS programmes and ecosystems. The open challenges and future plans for our ecosystem are also discussed at the end of the article.
翻译:我们描述智利大学物理和数学学院过去三年来开发的将理论、方法和应用结合起来的工程师的数据科学(DS)教学生态系统,该倡议的动机是学术和专业环境对DS资格的需求日益增加,生态系统以合作方式分布在上述学院的三个系,包括研究生课程、课程、专业文凭、数据储存库、实验室、实习方案和实习。我们希望,通过分享我们的教学原则和我们教学DS方法的创新组成部分,我们的经验能够有益于开发自己的DS方案和生态系统的人。我们生态系统的公开挑战和未来计划也在文章结尾处讨论。