Teaching Data Science By History: Kepler's Laws of Planetary Motion and Generalized Linear Models
Teaching Data Science By History: Kepler's Laws of Planetary Motion and Generalized Linear Models
Author(s): Eugene PinskySubject(s): Social Sciences, Education, Museology & Heritage Studies, Library and Information Science, Information Architecture, Library operations and management, Other, Higher Education
Published by: Нов български университет
Keywords: Generalized Linear Models; prediction; planetary motion
Summary/Abstract: Teaching data science is challenging: it is a multi- disciplinary subject that requires solid mathematical background. There are many models and approaches to consider. It is important, in our view, to present a unified approach to teaching this subject. We believe that one of the most effective ways to do so is to present historical examples. An interesting historical example that explains Generalized Linear Models in prediction is the quest by the German astronomer, Johann Kepler, at the beginning of the 17-th century to and a unifying law explaining the motion of the planets in our Solar system.
Journal: Computer Science and Education in Computer Science
- Issue Year: 16/2020
- Issue No: 1
- Page Range: 72-77
- Page Count: 6
- Language: English
