Educational guide
IDENTIFYING DATA 2023_24
Subject NUMERICAL AND STATISTICAL METHODS Code 00712006
Study programme
Descriptors Credit. Type Year Period
6 Basic Training First
Language
Castellano
Prerequisites
Department
Coordinador
E-mail
Lecturers
Web http://
General description The course is divided in two parts. First part is an introduction to Numerical Methods. We present the main techniques about interpolation and curve fitting, and numerical integration. We also study algorithms to obtain numerical solutions of systems of linear and non-linear equations. Second part is devoted to Statistics. We focus our study on exploratory data analysis, Probability and Distribution Theory and Statistical Inference.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Tribunal suplente
Cargo Departamento Profesor

Competencias
Code  
C1 CMECES1 That students have demonstrated possession and understanding of knowledge in an area of study that is based on general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study
C5 CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims
Competences
A17503
C1
A17503
B5426
B5428
C5
A17503
C1
A17503
B5426
B5428
C5

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Problem solving, classroom exercises 12 18 30
 
Practicals using information and communication technologies (ICTs) in computer rooms 12 18 30
 
Lecture 30 45 75
 
Mixed tests 6 9 15
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Problem solving, classroom exercises
Practicals using information and communication technologies (ICTs) in computer rooms
Lecture

Personalized attention
 
Lecture
Description

Assessment
  Description Qualification
Practicals using information and communication technologies (ICTs) in computer rooms Máximo 25%
Mixed tests Mínimo 75%
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic Burden R. L. y Faires J. D., Análisis Numérico, Thomson, 1998
Sanz Serna, J. M., Diez Lecciones de Cálculo Numérico., Universidad de Valladolid, 2010
Bertsekas D. P. & Tsitsiklis, J. N. , Introduction to Probability, Athena Scientific, 2002
Chapra, S. C & Canale, R. P., Métodos Numéricos para Ingenieros, McGraw-Hill, 2000
Devore, Jay L.;, Probabilidad y estadística para ingeniería y ciencias, Cengage Learning, 2016

Complementary


Recommendations


Subjects that it is recommended to have taken before
LINEAR ALGEBRA AND GEOMETRY / 00712001
DIFFERENTIAL AND INTEGRAL CALCULUS / 00712002