Techniques and Methodology of Innovation and Research in Informatics

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Credits
6
Types
  • MDS: Elective
  • MIRI: Compulsory
Requirements
This subject has not requirements
Department
CS
This course addresses different aspects that can be useful for people who will direct their professional career in the world of academia or technological innovation.

Teachers

Person in charge

  • Francisco Javier Larrosa Bondia ( )

Others

  • Clara Poveda Cabanillas ( )
  • Mari Paz Linares Herreros ( )
  • Marta Diaz Boladeras ( )
  • Ruben Pocull Prous ( )
  • Ruth Iñigo Robles ( )

Weekly hours

Theory
4
Problems
0
Laboratory
0
Guided learning
0
Autonomous learning
8

Competences

Generic Technical Competences

Generic

  • CG1 - Capability to apply the scientific method to study and analyse of phenomena and systems in any area of Computer Science, and in the conception, design and implementation of innovative and original solutions.
  • CG2 - Capability to lead, plan and supervise multidisciplinary teams.
  • CG4 - Capacity for general and technical management of research, development and innovation projects, in companies and technology centers in the field of Informatics Engineering.

Transversal Competences

Entrepreneurship and innovation

  • CTR1 - Capacity for knowing and understanding a business organization and the science that rules its activity, capability to understand the labour rules and the relationships between planning, industrial and commercial strategies, quality and profit. Capacity for developping creativity, entrepreneurship and innovation trend.

Sustainability and social commitment

  • CTR2 - Capability to know and understand the complexity of the typical economic and social phenomena of the welfare society. Capacity for being able to analyze and assess the social and environmental impact.

Information literacy

  • CTR4 - Capability to manage the acquisition, structuring, analysis and visualization of data and information in the area of informatics engineering, and critically assess the results of this effort.

Reasoning

  • CTR6 - Capacity for critical, logical and mathematical reasoning. Capability to solve problems in their area of study. Capacity for abstraction: the capability to create and use models that reflect real situations. Capability to design and implement simple experiments, and analyze and interpret their results. Capacity for analysis, synthesis and evaluation.

Objectives

  1. Learn about the Scientific Method, develop critical thinking, learn the process of writing a scientific paper, learn tools to help in the scientific process. Learn to analyze ethical aspects of the world of research and innovation
    Related competences: CTR2, CTR4, CTR6, CG1, CG2, CG4, CTR1,

Contents

  1. Critical Thinking
    Cognitive biases and irrationality. Arguments, types of inference, fallacies, argumentative spheres,
  2. Scientific Method
    Philosophical problems of knowledge (epistemology), the scientific method, types of research, common types of research in computer science
  3. Science World
    Magazines and conferences. Impact measures. Open access, repositories, predatory journals.
  4. Scientific papers
    The peer review system. How to write a scientific paper: structure, style, language of mathematics. Oral presentation of the articles
  5. 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


The Scientific Method


Objectives: 1
Contents:
Theory
8h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
16h

Critical Thinking


Objectives: 1
Contents:
Theory
8h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
16h

Scientific world


Objectives: 1
Contents:
Theory
16h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
32h

Papers


Objectives: 1
Contents:
Theory
16h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
32h

Integrity


Objectives: 1
Contents:
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 presentations

Bibliography

Basic:

  • Thinking fast and slow - Daniel Kahneman,
  • Ethics, Technology and Engineering - van de Poel, Ibo / Royakkers, Lamber,
  • Writing for Computer Science - Justin Zobel,