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Syllabus 2013-14 - 13312020 - Artificial Intelligence (Inteligencia artificial)

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  • Level 1: Tutorial support sessions, materials and exams in this language
  • Level 2: Tutorial support sessions, materials, exams and seminars in this language
  • Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Grado en Ingeniería informática
FACULTY: SCHOOL OF ENGINEERING OF JAÉN
ACADEMIC YEAR: 2013-14
COURSE: Artificial Intelligence
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Artificial Intelligence
CODE: 13312020 ACADEMIC YEAR: 2013-14
LANGUAGE: English LEVEL: 2
ECTS CREDITS: 6.0 YEAR: 2 SEMESTER: SC
2. LECTURER BASIC INFORMATION
NAME: JESÚS DÍAZ, MARÍA JOSÉ DEL
DEPARTMENT: U118 - INFORMÁTICA
FIELD OF STUDY: 075 - CIENCIA DE LA COMPUTACIÓN E INT. ARTIFICIAL
OFFICE NO.: A3 - 131 E-MAIL: mjjesus@ujaen.es P: 953212444
WEBSITE: -
ORCID: https://orcid.org/0000-0002-7891-3059
LANGUAGE: English LEVEL: 1
NAME: GARCÍA LÓPEZ, SALVADOR
DEPARTMENT: U118 - INFORMÁTICA
FIELD OF STUDY: 075 - CIENCIA DE LA COMPUTACIÓN E INT. ARTIFICIAL
OFFICE NO.: A3 - 246 E-MAIL: sglopez@ujaen.es P: 953212802
WEBSITE: -
ORCID: https://orcid.org/0000-0003-4494-7565
LANGUAGE: English LEVEL: 2
3. CONTENT DESCRIPTION

I. The foundations of Artificial Intelligence

  1. Introduction to Artificial Intelligence.
  2. Intelligent Agents.

II. Solving problems

  1. Solving problems by searching
  2. Constraint satisfaction problems
  3. Optimization
  4. Adversarial search

III. Knowledge representation

  1. Knowledge representation

IV. Learning

  1. Learning from examples

 

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

The course is divided into two related parts , theory and practice.

The theory will be conducted primarily through master classes , including activity sessions to evaluate the student's participation in the course.

The practical part will be held in the computer lab .

During the academic year objective tests will be performed to assess the knowledge acquired by the student.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

To pass the course it will needed to pass both the theoretical and the practical part .

The theoretical part and participation will be evaluated with objective tests of theoretical concepts and practical exercises related to the subject .

The practical part of the delivery will be assessed through practical work performed by computer , with the the work relating to seminars and presentations raised and with the report associated with them . The assessment will be continuous and incremental to evaluate both the defense end of each work and the evolution of the student during practices .

The portion corresponding to participation will be evaluated by some quizzes conducted during class hours corresponding to theory and practices.

There will be attendance controls for theory and practical classes .

6. BOOKLIST
MAIN BOOKLIST:
  • Artificial intelligence: a modern approach. Edition: 3rd th. Author: Russell, Stuart J.. Publisher: Boston [etc.] : Pearson Education, 2010  (Library)
  • Artificial intelligence : the basics. Edition: -. Author: Warwick, Kevin. Publisher: New York : Routledge, 2012  (Library)
ADDITIONAL BOOKLIST:
  • The handbook of artificial intelligence. Edition: -. Author: -. Publisher: Reading [etc.]: Addison-Wesley, [198 ]  (Library)
  • Artificial intelligence review.. Edition: -. Author: -. Publisher: Dordrecht : Kluwer Academic Publisher, 2012  (Library)
  • Artificial intelligence: a modern approach. Edition: 3rd th. Author: Russell, Stuart J.. Publisher: Boston [etc.] : Pearson Education, 2010  (Library)