Guías Docentes Electrónicas
1. General information
Course:
INFERENTIAL STATISTICS
Code:
56706
Type:
BASIC
ECTS credits:
6
Degree:
403 - UNDERGRADUATE DEGREE PROGRAMME IN AEROSPACE ENGINEERING
Academic year:
2023-24
Center:
303 - E.DE INGENIERÍA INDUSTRIAL Y AEROESPOACIAL DE TOLEDO
Group(s):
40 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ISIDRO HIDALGO ARELLANO - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
MATEMÁTICAS
Isidro.Hidalgo@uclm.es

Lecturer: LICESIO JESUS RODRIGUEZ ARAGON - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.47
MATEMÁTICAS
6489
l.rodriguezaragon@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
CA01 Ability to carry out bibliographic searches, use databases and other sources of information for its application in tasks related to Technical Aeronautical Engineering.
CA04 Ability to select advanced tools and techniques and their application in the field of Aeronautical Technical Engineering.
CA05 Knowledge of the methods, techniques and tools as well as their limitations in the application for the resolution of problems typical of Aeronautical Technical Engineering.
CB01 Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge.
CB02 Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area.
CB03 Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues.
CB05 Have developed the necessary learning abilities to carry on studying autonomously
CE01 Ability to solve mathematical problems that may arise in engineering. Ability to apply knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential and partial derivative equations; numerical methods; numerical algorithmic; statistics and optimization.
CT02 Knowledge and application of Information and Communication Technologies (ICT).
CT03 Correct use of oral and written communication.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1:
  • Unit 2:
  • Unit 3:
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CA01 CA04 CA05 CB02 CB03 CB05 CT03 0.88 22 Y N
Problem solving and/or case studies [ON-SITE] Problem solving and exercises CA05 CB02 CB03 CB05 CE01 CT03 0.64 16 Y N
Group tutoring sessions [ON-SITE] Guided or supervised work CA05 CB02 CB05 CE01 CT03 0.08 2 N N
Class Attendance (practical) [ON-SITE] Practical or hands-on activities CA04 CA05 CB02 CB03 CB05 CE01 CT02 CT03 0.56 14 Y Y
Formative Assessment [ON-SITE] Assessment tests CA01 CA04 CA05 CB01 CB02 CB03 CB05 CE01 CT02 CT03 0.24 6 Y N
Writing of reports or projects [OFF-SITE] Cooperative / Collaborative Learning CA01 CA04 CA05 CB02 CB03 CB05 CE01 CT03 0.8 20 Y Y
Study and Exam Preparation [OFF-SITE] Self-study CA01 CA04 CA05 CB02 CB03 CB05 CE01 CT02 2.8 70 Y N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Assessment of problem solving and/or case studies 20.00% 20.00%
Laboratory sessions 10.00% 10.00%
Mid-term tests 70.00% 0.00%
Final test 0.00% 70.00%
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 22
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 16
Group tutoring sessions [PRESENCIAL][Guided or supervised work] 2
Class Attendance (practical) [PRESENCIAL][Practical or hands-on activities] 14
Formative Assessment [PRESENCIAL][Assessment tests] 6
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] 20
Study and Exam Preparation [AUTÓNOMA][Self-study] 70

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
D. Peña Fundamentos de estadística Alianza Editorial 978-84-206-8380-5 2008 Signatura Biblioteca: 519.2 PEÑ Ficha de la biblioteca
D. S. Moore Estadística aplicada básica Antoni Bosch 978-84-95348-04-3 2009 TEXTO DOCENTE Signatura Biblioteca: 519.2 MOO https://elibro.net/es/ereader/bibliotecauclm/60046?page=1 Ficha de la biblioteca
Devore, Jay L. Probabilidad y estadística para ingeniería y ciencias [ CENGAGE Learning, 978-607-522-827-3 2016 Ficha de la biblioteca
E. Gutiérrez González y O. Vladimirovna Panteleeva Estadística inferencial para ingeniería y ciencias Grupo Editorial Patria 9786077444879 2016 https://elibro.net/es/ereader/bibliotecauclm/40474?page=1  
F.J. Martín Pliego López y otros Problemas de inferencia estadística Thomson- Paraninfo 84-9732-355-6 2002 Signatura Biblioteca: 519.2(076) MAR Ficha de la biblioteca
H. A. Quevedo Urías y B. R. Pérez Salvador Estadística para ingeniería y ciencias Grupo Editorial Patria 9786074389395 2014 https://elibro.net/es/ereader/bibliotecauclm/39467?page=1  
I. Espejo Miranda y otros Estadística descriptiva y probabilidad: teoría y problemas UCA 978-84-9828-467-6 2009 https://elibro.net/es/ereader/bibliotecauclm/33854?page=1  
I. Espejo Miranda, F. Fernández Palacín y M.A. López Sánchez Inferencia estadística: teoría y problemas Servicio de Publicaciones de la Universidad de Cádiz 9788498285581 2016 https://elibro.net/es/ereader/bibliotecauclm/33882?page=1  
J.L. Devore Probabilidad y estadística para ingeniería y ciencias.6ª edición. Thomson 970-686-457-1 2005 Signatura Biblioteca: 519.2 DEV https://elibro.net/es/ereader/bibliotecauclm/40026?page=1 Ficha de la biblioteca
M. Febrero Bande y otros Prácticas de Estadística en R Universidad Santiago de Compostela 978-84-691-0975-1 2008 http://eio.usc.es/pub/pateiro/files/pubdocentepracticasestadistica.pdf  
M. H. DeGroot Probabilidad y estadística Addison-Wesley Iberoamericana 0-201-64405-3 1988 Signatura Biblioteca: D 10454 Ficha de la biblioteca
R.S. Kenet y S. Zacks Estadística Industrial Moderna Thomson 970-686-027-4 2000 Signatura Biblioteca: 519.2 KEN Ficha de la biblioteca
S. J. Álvarez Contreras Estadística aplicada CLAG 84-921847-4-4 2011 Signatura Bibilioteca: 519.2 ALV Ficha de la biblioteca
S. M. Ross y T. Valdés Sánchez Introducción a la estadística Editorial Reverté 9788429151916 2014 https://elibro.net/es/ereader/bibliotecauclm/46782?page=1  
W. Mendenhall Probabilidad y estadística para ingeniería y ciencias Pretice Hall 968-880-960-8 1997 Signatura Biblioteca: D 519.2(076) MEN Ficha de la biblioteca
Walpole, Ronald E. Probabilidad y estadística para ingeniería y ciencias Pearson Educación 978-970-26-0936-0 2007 Ficha de la biblioteca



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