Credits
6
Types
- MDS: Elective
- MIRI: Compulsory
Requirements
This subject has not requirements
, but it has got previous capacities
Department
CS
Web
http://www.cs.upc.edu/~larrosa/
Teachers
Person in charge
- Francisco Javier Larrosa Bondia ( larrosa@cs.upc.edu )
Others
- Clara Poveda Cabanillas ( clara.poveda@upc.edu )
- Mari Paz Linares Herreros ( mari.paz.linares@upc.edu )
- Marta Diaz Boladeras ( marta.diaz@upc.edu )
- Ruben Pocull Prous ( ruben.pocull@upc.edu )
- Ruth Iñigo Robles ( ruth.inigo@upc.edu )
Weekly hours
Theory
4
Problems
0
Laboratory
0
Guided learning
0
Autonomous learning
7.11
Competences
Generic
Entrepreneurship and innovation
Sustainability and social commitment
Information literacy
Reasoning
Objectives
Contents
-
Critical Thinking
Cognitive biases and irrationality. Arguments, types of inference, fallacies, argumentative spheres, -
Scientific Method
Philosophical problems of knowledge (epistemology), the scientific method, types of research, common types of research in computer science -
Science World
Magazines and conferences. Impact measures. Open access, repositories, predatory journals. -
Scientific papers
The peer review system. How to write a scientific paper: structure, style, language of mathematics. Oral presentation of the articles -
Integry and ethics
What is ethics? Main ethical theories (utilitarianism, Kant, Aristotle). Ethics in research (deontology, research with living beings). Professional ethics (codes of ethics, analysis of ethical responsibility, whistleblowers, the ethical cycle). Ethical aspects of design.
Activities
Activity Evaluation act
Theory
8h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
16h
Theory
8h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
16h
Theory
16h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
32h
Theory
16h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
32h
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h
Teaching methodology
Different types of activities, such as attending lessons, reading and studying additional material (articles and book chapters) to acquire complementary knowledge, and oral presentations, will be distributed within a total of 6 ECTS (180 work hours).Evaluation methodology
The avaluation will be based on: essays, tests and public presentationsBibliography
Basic
-
Thinking, fast and slow
- Kahneman, D,
Penguin Books,
2012.
ISBN: 9780141033570
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991003964509706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Ethics, Technology and Engineering
- Poel, Ibo van de / Royakkers, Lamber,
Wiley-Blackwell,
2011.
ISBN: 9781444330946
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991004950912806711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Writing for computer science
- Zobel, J,
Springer London,
2014.
ISBN: 9781447166399
https://ebookcentral-proquest-com.recursos.biblioteca.upc.edu/lib/upcatalunya-ebooks/detail.action?pq-origsite=primo&docID=1974126