Artificial Intelligence Seminar

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Credits
3
Types
Elective
Requirements
This subject has not requirements, but it has got previous capacities
Department
CS;URV
Mail
This seminar will consist on the description of a relevant research field in Artificial Intelligence by the students and national or international lecturers during one week (usually in April or May). The topic of the seminar is different every academic course.

Teachers

Person in charge

  • Antonio Moreno Ribas ( )

Weekly hours

Theory
1.5
Problems
0
Laboratory
0
Guided learning
0
Autonomous learning
3.5

Competences

Technical Competences of each Specialization

Academic

  • CEA7 - Capability to understand the problems, and the solutions to problems in the professional practice of Artificial Intelligence application in business and industry environment.
  • CEA8 - Capability to research in new techniques, methodologies, architectures, services or systems in the area of ??Artificial Intelligence.

Professional

  • CEP2 - Capability to solve the decision making problems from different organizations, integrating intelligent tools.
  • CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
  • CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.

Transversal Competences

Teamwork

  • CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.

Information literacy

  • CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.

Reasoning

  • CT6 - Capability to evaluate and analyze on a reasoned and critical way about situations, projects, proposals, reports and scientific-technical surveys. Capability to argue the reasons that explain or justify such situations, proposals, etc..

Analisis y sintesis

  • CT7 - Capability to analyze and solve complex technical problems.

Objectives

  1. Understand the basic concepts of a relevant area within AI and its relationship with the business world.
    Related competences: CEA7, CEP2, CEP3, CT4,
  2. Solve in an effective way a problem related to the field presented in the seminar.
    Related competences: CEA8, CEP4, CT3, CT6, CT7,

Contents

  1. Theoretical content
    Presentation of an advanced research topic in the AI field.
  2. Practical content
    Solve or analyze a specific problem within the field presented in the seminar.

Activities

Activity Evaluation act


Lectures

Presentation of the theoretical content of the seminar.
  • Theory: Invited lectures at the seminar.
  • Autonomous learning: Autonomous student work: state-of-the-art analysis, paper review, elaboration of written report.
Objectives: 1
Contents:
Theory
22.5h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
52.5h

Practical component of the seminar

Study of the state of the art in the seminar's topic or completion of exercises/problems.
Objectives: 2
Week: 1
Type: final exam
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
0h

Teaching methodology

The following teaching methodologies will be employed:

* Lectures.
* Participative sessions.
* Team work.
* Autonomous work.

Evaluation methodology

The evaluation will be based on an oral presentation, to be made in pairs,
where students will present an area of the general topic of the seminar and
analñyze its applicability in a real world problem.

Bibliography

Basic:

Complementary:

Web links

Previous capacities

Knowledge of the basic concepts in AI. It is not necessary to have previous knowledge on the topic of the seminar.

Addendum

Contents

Aquesta assignatura té un contingut (tema) diferent cada curs. Esta asignatura tiene un contenido (tema) diferente cada curso. This course has a different content (topic) each academic course.

Teaching methodology

Tot el seminari és realitzarà de forma on-line. Todo el seminario se realizará de forma on-line. All the activities of the seminar will be made on-line.

Evaluation methodology

L'avaluació serà la indicada a la guia docent. La evaluación es la indicada en la guía docent. The evaluation mechanism is the one described in the teaching guide.

Contingency plan

Com tot serà on-line, no hi hauria canvis en cas de confinament. Como todo el seminario será on-line, no habría cambios en caso de confinamiento. As all the seminar will be on-line, there will be no further changes in the case of confinement.