Aspectos Sociales y Ambientales de Las Tecnologías de la Información

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Créditos
3
Tipos
Complementaria de especialidad (Ingeniería de Servicios)
Requisitos
Esta asignatura no tiene requisitos, pero tiene capacidades previas
Departamento
ESSI
In this course we debate the impact on society of new advances in Business Intelligence and Big Data. The course is structured in two parts. In the first one we focus on reading and debating on visionary papers that draw new research lines in the field of decisional systems (the so-called next Generation BI systems that are tightly related with Big Data). In the second part we focus on ethics and the impact of such approaches on society.

The spirit of the course is to promote a critical reasoning about the impact of new technological advances that most of the time are only measured in economical terms.

Profesores

Responsable

  • Alberto Abello Gamazo ( )
  • Oscar Romero Moral ( )

Otros

  • Jovan Varga ( )

Objetivos

  1. Acknowledge the current and future impact of next generation BI systems and Big Data on society
    Competencias relacionadas:
  2. Ability to study and analyze problems in a critical mood
    Competencias relacionadas:
  3. Ability to critically read texts
    Competencias relacionadas:
  4. Develop critical reasoning with special focus on ethics and social impact
    Competencias relacionadas:
  5. Develop soft skills to defend - criticize a predetermined position in public
    Competencias relacionadas:
  6. Improve the writing skills
    Competencias relacionadas:

Contenidos

  1. Introduction
    In this first module we will present the course, its structure and methodology.
  2. Next generation BI and Big Data Systems: What's next? Visionary ideas
    This module focuses on what is next in the area of Big Data and BI. Throughout these sessions several innovative ideas (not yet massively in use) are presented and discussed. This includes topics such as the coupling of the Semantic Web and Big Data, or user-centered solutions.
  3. Ethics and social impact of next generation BI systems and Big Data
    After presenting what will be next in the area of BI and Big Data, in this module we discuss the impact these new ideas will have on society. More specifically, we will discuss about ethics, personal data protection, hacking, licensing / patenting and IP rights.

Actividades

Actividad Acto evaluativo


Introduction

The course is introduced. We will discuss the course structure, the methodology and the evaluation.
  • Teoría: The course is introduced. We will discuss the course structure, the methodology and the evaluation.
Objetivos: 1
Contenidos:
Teoría
1h
Problemas
0h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
0h

Debates on Next Generation BI and Big Data Ideas: What's Next

During these sessions the debates discussing innovative and visionary ideas on BI and Big Data will take place. You must read the available material before the debate. Then, during the debate you will assign to a group: either to defend an idea, or go against it. You may also be asked to moderate the debate. Then, the debate takes place and afterwards, each group needs to write down a report with their conclusions.
  • Problemas: The debates will take place throughout 2 weeks.
  • Aprendizaje autónomo: The student is expected to read the available material to prepare the debate before the lecture. Also, the student is expected to create the summary report after the debate.
Objetivos: 1 2 3 4 5 6
Contenidos:
Teoría
0h
Problemas
6h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
14h

Debates on Ethics and social impact of next generation BI systems and Big Data

During these sessions the debates discussing innovative and visionary ideas on BI and Big Data will take place. You must read the available material before the debate. Then, during the debate you will assign to a group: either to defend an idea, or go against it. You may also be asked to moderate the debate. Then, the debate takes place and afterwards, each group needs to write down a report with their conclusions.
  • Problemas: The debates will take place throughout 6 weeks.
  • Aprendizaje autónomo: The student is expected to read the available material to prepare the debate before the lecture. Also, the student is expected to create the summary report after the debate.
Objetivos: 1 2 3 4 5 6
Contenidos:
Teoría
0h
Problemas
18h
Laboratorio
0h
Aprendizaje dirigido
0h
Aprendizaje autónomo
42h

Metodología docente

There will be 9 face-to-face sessions (the first 9 weeks of the semester). The first one introduces the course. The other will be debates. Before each debate, some material (typically papers) will be proposed for a debate during the lecture.

The students are meant to read the paper *before* the lecture.
During the lecture, there will be an organized debate (pro and against groups will be configured as well as a moderator).
After the debate, each group (pro, against and moderator) will be asked to write down their debate conclusions.

The course methodology puts the focus on three main aspects:
- Critical reasoning (with special focus on ethics and social impact),
- Develop soft skills to defend - criticize a position in public,
- Improve the writing skills summarizing an event.

Método de evaluación

Each debate entails two main parts:
- (60%) The face-to-face debate Db (this mark is computed from the report written by the moderator group and supervised by the lecturers),
- (40%) The written conclusions Wr.

Thus, each debate mark is computed as Db*0,6 + Wr*0,4. The final mark will be computed as the average of the tenth debates.

The evaluation is done on an individual basis.

Bibliografía

Básica:

Complementaria:

Capacidades previas

Basic knowledge in Business Intelligence and Big Data.