Educational guide
IDENTIFYING DATA 2024_25
Subject ARTIFICIAL INTELLIGENCE APPLIED TO E-COMMERCE Code 01754027
Study programme
1754 - M.INTERNAC.PRODUC. CONSUMO RESPON EURECA-PRO
Descriptors Credit. Type Year Period
6 Compulsory Second First
Language
Ingles
Prerequisites
Department ING.MECANICA,INFORMAT.AEROESP.
Coordinador
FERNÁNDEZ LLAMAS , CAMINO
E-mail cferll@unileon.es
vgonc@unileon.es
Lecturers
FERNÁNDEZ LLAMAS , CAMINO
GONZÁLEZ CASTRO , VICTOR
Web http://https://www.eurecapro.eu/joint-master-in-responsible-consumption-and-production/
General description Introduction to an overview of artificial intelligence and its potential practical applications to e-commerce
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ DE SOTO , ADOLFO
Secretario ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ LERA , FRANCISCO JAVIER
Vocal ING.ELECTR.DE SIST. Y AUTOMATI FIDALGO FERNANDEZ , EDUARDO
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.ELECTR.DE SIST. Y AUTOMATI ALEGRE GUTIERREZ , ENRIQUE
Secretario ING.ELECTR.DE SIST. Y AUTOMATI ALAIZ RODRIGUEZ , ROCIO
Vocal ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE

Competencies
Type A Code Competences Specific
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning aims
Competences

Contents
Topic Sub-topic
Block 1. Problem solving Unit 1.1 Introduction to AI and its regulation
Unit 1.2 Searching
Unit 1.3 Constraint Satisfaction
Block 2. Knowledge, reasoning and planning Unit 2.1 Basic logic
Unit 2.2 Knowledge representation
Unit 2.3 Automated planning
Block 3. Machine learning Unit 3.1 Basic concepts
Unit 3.2 Supervised learning
Unit 3.3 Unsupervised learning

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
28 40 68
 
Assignments 10 40 50
 
Lecture 20 10 30
 
Mixed tests 2 0 2
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Case studies of leading innovations developed in the field of e-commerce.
Assignments Teaching-learning activities that, that can be developed autonomously inside or outside the classroom, and only require punctual supervision and monitoring of a teacher. In these activities’ students organize time and effort autonomously, either individually or in groups.
Lecture Presentation and discussion of the theoretical contents.

Personalized attention
 
Lecture
Description
In the web page of the course (agora.unileon.es) will be indicated the hours of individualized tutoring of the professors during the course.

Assessment
  Description Qualification
Assignments Practical work related to the theoretical topics of the course 75%-90%
Mixed tests Objective test son the theoretical and practical contents of the course 10%-25%
Others Student participation and attitude in the course 0%-10%
 
Other comments and second call

Inappropriate attitudes or behaviors in the classroom may be penalized affecting the grade of the course. In the ordinary call, the grade corresponds to the weighted sum of each of the parts of the subject being assessed.

Failure to pass the ordinary exam, the student will have to complete the work not passed and retake the tests.

At the beginning of the course, the teacher will specify the final percentages of the different evaluation instruments.  

The work submitted may be reviewed with an anti-plagiarism software that will be able to perform checks between the work of the students of the current and previous call and against external sources. If plagiarism is detected, the work will be graded as failed. During the evaluation tests it will not be possible to use electronic resources (calculators, tablets, phones, computers, etc.), except for those tests that under express indication of the teacher require the use of any of these resources. In case of any irregularity during the celebration of the corresponding exam or evaluation test, the student will be immediately withdrawn from the exam, expelled and graded as failed. In any case, what is established in the internal regulations of the ULE included in the document "Guidelines for action in cases of plagiarism, copying or fraud in exams or assessment tests" (Approved by the Standing Committee of the Governing Council 29/01/2015) will be taken into account.

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic Stuart Russell, Peter Nerving, Artificial Intelligence: A modern approach, Pearson, 4ª edición, 2021

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