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Ethical Data Science course | MSc in Fundamental Principles of Data Science | Universitat de Barcelona

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EthicalDS

MSc in Fundamental Principles of Data Science | Universitat de Barcelona

Ethical Data Science MSc Course 2020-2021

Data science has the potential to be both beneficial and detrimental to individuals and/or the wider public. To help minimize any adverse effects, we must seek to understand the potential impact of our work and consider any opportunities that may deliver benefits for the public.

In this course, we will explore the social and ethical ramifications of the choices we make at the different stages of the data analysis pipeline, from data collection and storage to understand feedback loops in the analysis. Through case studies, and exercises, students will learn the basics of ethical thinking, understand some tools to check or mitigate undesired effects, and study the distinct challenges associated with ethics in modern data science.

Course Instructors

  • Jordi Vitrià, Departament de Matemàtiques i Informàtica de la UB.
  • Itziar de Lecuona, Bioethics and Law Observatory at the University of Barcelona.

Class Time and Location

  • Second Semester (February, 2021 - May, 2021)
  • Face-to-face Lectures: Wednesday 15:00h-16:00h
  • Location: Online during COVID-19 pandemic

Prerequisites

  • Proficiency in Python (3.7).
  • Calculus, Linear Algebra: You should be comfortable taking derivatives and understanding matrix vector operations and notation.
  • Basic Probability and Statistics.

Assignments and Grading

There will be three 1500-word essays due during the course on assigned topics and one practical exercise.

Writing assignments evaluation will emphasize correctness in your writing and a good understanding of the course material (as well as rigor, precision, and clarity).

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Ethical Data Science course | MSc in Fundamental Principles of Data Science | Universitat de Barcelona

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