Educational guide
IDENTIFYING DATA							2023_24
Subject	MATEMÁTICAS Y ESTADÍSTICA					Code	00107106
Study programme	0107 G. CIENCIA Y TECN. DE LOS ALIMENTOS
Descriptors	Credit.	Type	Year	Period
	9	Basic Training	First	Second
Language	Castellano
Prerequisites
Department	MATEMATICAS
Coordinador	SÁEZ SCHWEDT , ANDRÉS				E-mail	asaes@unileon.es jsusl@unileon.es
Lecturers	SÁEZ SCHWEDT , ANDRÉS SUSPERREGUI LESACA , JULIÁN
Web	http://
General description	The course is divided in two parts. First part covers main topics on Linear Algebra, Differential and Integral Calculus of functions of one variable, Numerical Methods and Ordinary Differential Equations with special emphasis on first order linear differential 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 Presidente MATEMATICAS FRANCISCO IRIBARREN , ARACELI DE Secretario MATEMATICAS ARANA SUAREZ , MARIA VICTORIA Vocal MATEMATICAS SANTAMARIA SANCHEZ , RAFAEL Tribunal suplente Cargo Departamento Profesor Presidente MATEMATICAS HERMIDA ALONSO , JOSÉ ÁNGEL Secretario MATEMATICAS ARIAS MOSQUERA , DANIEL Vocal MATEMATICAS VEGA CASIELLES , SUSANA

Competencias

Code
A18489
B5675
B5678
B5679
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
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.
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

	Competences
	A18489	B5675 B5679	C1 C2 C5
	A18489	B5675 B5679	C1 C2 C5
	A18489	B5675 B5678 B5679	C1 C2 C5

Contents

Topic	Sub-topic

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
Problem solving, classroom exercises	30	45	75
Practicals using information and communication technologies (ICTs) in computer rooms	14	24	38
Personal tuition	4	4	8
Lecture	36	56	92
Practical tests	5	0	5
	1	6	7
(*)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
Personal tuition
Lecture

Personalized attention

Personal tuition

Description

Assessment

	Description	Qualification
Practical tests		Valor relativo 90%
		Valor relativo 10%
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	https://www.r-project.org, The R Project for Statistical Computing, , De Burgos, J., Álgebra Lineal, McGraw-Hill, 1993 Larson, R.E., Hostetler, R.P. y Edwards, B.H., Cálculo, Volumen 1, McGraw-Hill , 1995 Milton, J. Susan, Estadística para Biología y Ciencias de la Salud, McGraw-Hill Interamericana, 1998 Danielle Navarro, https://learningstatisticswithr.com/, Learning statistics with R, , Carriegos, M., de Francisco, A. y Santamaría, R., Matemáticas Básicas Instrumentales, Secretariado de Publicaciones de la Universidad de León, 2006 http://maxima.sourceforge.net/es , Maxima, , Devore, J.L., Probabilidad para Ingeniería y Ciencias, International Thomson Editores, 2001
Complementary

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