Educational guide
IDENTIFYING DATA 2023_24
Subject DATA STRUCTURES Code 00709018
Study programme
0709 - GRADO EN INGENIERÍA INFORMÁTICA
Descriptors Credit. Type Year Period
6 Compulsory First Second
Language
Castellano
Prerequisites
Department ING.MECANICA,INFORMAT.AEROESP.
Coordinador
CUERVO FERNÁNDEZ , EVA MARÍA
E-mail emcuef@unileon.es
dferq@unileon.es
jferrl@unileon.es
agomc@unileon.es
Lecturers
CUERVO FERNÁNDEZ , EVA MARÍA
FERNANDEZ QUINTANILLA , DAVID
FERRERO LINACERO , JORGE TEOTIMO
GOMEZ CAMUS , ALFONSO JAVIER
Web http://agora.unileon.es
General description This course tries to familiarize the student with the different types of data structures and their management techniques. Emphasis is placed on the analysis of the characteristics of the most common data structures that justify their choice according to the problem to be solved.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. FERNANDEZ DIAZ , RAMON ANGEL
Secretario ING.MECANICA,INFORMAT.AEROESP. PEREZ GARCIA , HILDE
Vocal ING.MECANICA,INFORMAT.AEROESP. CASTEJON LIMAS , MANUEL
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE
Secretario ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS
Vocal ING.MECANICA,INFORMAT.AEROESP. SANCHEZ GONZALEZ , LIDIA

Competencias
Code  
A18100
A18121
B5618
B5619
B5623
B5626
C2 CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study.
C4 CMECES4 That students can transmit information, ideas, problems and solutions to both a specialised and non-specialised audience

Learning aims
Competences
A18100
A18121
B5618
B5619
B5623
B5626
C2
C4
A18100
A18121
B5618
B5619
B5623
B5626
C2
C4

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Lecture 28 28 56
 
Laboratory practicals 22 54 76
 
Personal tuition 2 0 2
 
Mixed tests 6 6 12
Practical tests 2 0 2
Extended-answer tests 1 1 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
Lecture
Laboratory practicals
Personal tuition

Personalized attention
 
Personal tuition
Description

Assessment
  Description Qualification
Mixed tests 50
Extended-answer tests 5
Practical tests 40
Se sumará esta nota cuando se haya obtenido una nota mínima de 4 en cada una de las pruebas mixtas
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic Mark Allen Weiss, Estructuras de datos en Java, Pearson. Addison Wesley, 2013
John Lewis y Joseph Chase, Java Software Structures. Designing and Using Data Structures, Pearson. Addison Wesley, 2014

Complementary Bruno R. Preiss, Data Structures and Algorithms with Object-Oriented design patterns in Java, John Willey &Sons, 2000
Bruce Eckel, Piensa en JAVA, Pearson. Prentice Hall, 2007


Recommendations


Subjects that it is recommended to have taken before
COMPUTER PROGRAMMING I / 00709009