Data Science and Education at EPFL

Description

This lecture covers the evolution of data science at EPFL, focusing on the development of the Swiss Data Science Center and the impact of digital revolution on education. It also delves into the initiatives like MOOCs for Africa, the challenges in education technology, and the efforts to bridge the gap between data scientists and domain experts. The speaker discusses the importance of reproducibility in research, the role of the Scala Center in promoting education and community around Scala programming language, and the future plans for data science at EPFL.

Official source

https://mediaspace.epfl.ch/media/0_jwnxz9aa

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Educational technology

Educational technology (commonly abbreviated as edutech, or edtech) is the combined use of computer hardware, software, and educational theory and practice to facilitate learning. When referred to with its abbreviation, edtech, it often refers to the industry of companies that create educational technology. In addition to the practical educational experience, educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science.

Data science

Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.

Scala (programming language)

Scala (ˈskɑːlə ) is a strong statically typed high-level general-purpose programming language that supports both object-oriented programming and functional programming. Designed to be concise, many of Scala's design decisions are aimed to address criticisms of Java. Scala source code can be compiled to Java bytecode and run on a Java virtual machine (JVM). Scala can also be compiled to JavaScript to run in a browser, or directly to a native executable.