1. General information
Course:
STATISTICS
Code:
56307
Type:
BASIC
ECTS credits:
6
Degree:
357 - UNDERGRADUATE DEGREE PROGRAMME IN ELECTRICAL ENGINEERING
Academic year:
2019-20
Center:
303 - E.DE INGENIERÍA INDUSTRIAL Y AEROESPOACIAL DE TOLEDO
Group(s):
40
41
42
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
CARLOS DE LA CALLE ARROYO
- Group(s):
40
41
42
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.47
MATEMÁTICAS
Carlos.CalleArroyo@uclm.es
Lecturer:
LICESIO JESUS RODRIGUEZ ARAGON
- Group(s):
40
41
42
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.47
MATEMÁTICAS
6489
l.rodriguezaragon@uclm.es
Disponible en Campus Virtual y en https://intranet.eii-to.uclm.es/tutorias
Pedir cita previa por correo electrónico.
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 |
| A01 | To understand and have knowledge in an area of study that moves on from the general education attained at secondary level and usually found at a level that, while supported in advanced text books, also includes some aspects that include knowledge found at the cutting edge of the field of study. |
| A02 | To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study. |
| A03 | To have the capability to gather and interpret relevant data (normally within the area of study) to make judgements that include a reflection on themes of a social, scientific or ethical nature. |
| A07 | Knowledge of Information Technology and Communication (ITC). |
| A08 | Appropriate level of oral and written communication. |
| A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
| A13 | Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Electrical Engineering. |
| A17 | Ability to apply principles and methods of quality control. |
| B01 | Ability to solve mathematical problems that occur in engineering. Aptitude to apply knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential and partial differential equations; numerical methods; numerical algorithms; statistics and optimization. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Know and interpret the fundamental measurements of descriptive statistics, approximate bidimensional data through regression adjustment, know the fundamentals of probability, estimate the parameters of statistical models, construct confidence intervals, contrast hypotheses and take decisions. | |
| Be able to express yourself correctly both orally and in writing, and, in particular, to know how to use mathematical language to express with precision quantities and operations that appear in industrial engineering. Become accustomed to working in a team and behaving respectfully. | |
| Additional outcomes | |
| Description | |
6. Units / Contents
-
Unit 1:
-
Unit 1.1:
-
Unit 1.2:
-
Unit 1.3:
-
Unit 1.4:
-
Unit 1.5:
-
-
Unit 2:
-
Unit 2.1:
-
Unit 2.2:
-
Unit 2.3:
-
-
Unit 3:
-
Unit 3.1:
-
Unit 3.2:
-
Unit 3.3:
-
Unit 3.4:
-
Unit 3.5:
-
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | R | Description * |
| Class Attendance (theory) [ON-SITE] | Lectures | 0.8 | 20 | Y | N | N | ||
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | 0.64 | 16 | Y | N | N | ||
| Individual tutoring sessions [ON-SITE] | Guided or supervised work | 0.2 | 5 | N | N | N | ||
| Laboratory practice or sessions [ON-SITE] | Problem solving and exercises | 0.56 | 14 | Y | N | N | ||
| Other off-site activity [OFF-SITE] | Self-study | 0.8 | 20 | Y | N | N | ||
| Progress test [ON-SITE] | Assessment tests | 0.08 | 2 | Y | N | Y | ||
| Study and Exam Preparation [OFF-SITE] | Self-study | 2.8 | 70 | N | N | N | ||
| Final test [ON-SITE] | Problem solving and exercises | 0.12 | 3 | Y | N | Y | ||
| 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 R: Rescheduling training activity
8. Evaluation criteria and Grading System
| Grading System | |||
| Evaluation System | Face-to-Face | Self-Study Student | Description |
| Progress Tests | 35.00% | 0.00% | |
| Assessment of problem solving and/or case studies | 10.00% | 0.00% | |
| Laboratory sessions | 10.00% | 0.00% | |
| Self Evaluation and Co-evaluation | 10.00% | 0.00% | |
| Final test | 35.00% | 0.00% | |
| Total: | 100.00% | 0.00% | |
Evaluation criteria for the final exam:
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 |
| Individual tutoring sessions [PRESENCIAL][Guided or supervised work] | 5 |
| Progress test [PRESENCIAL][Assessment tests] | 2 |
| Final test [PRESENCIAL][Problem solving and exercises] | 3 |
| Unit 1 (de 3): | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 7 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 6 |
| Laboratory practice or sessions [PRESENCIAL][Problem solving and exercises] | 6 |
| Other off-site activity [AUTÓNOMA][Self-study] | 5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 16 |
| Unit 2 (de 3): | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 6 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 4 |
| Laboratory practice or sessions [PRESENCIAL][Problem solving and exercises] | 2 |
| Other off-site activity [AUTÓNOMA][Self-study] | 3 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 27 |
| Unit 3 (de 3): | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 7 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 6 |
| Laboratory practice or sessions [PRESENCIAL][Problem solving and exercises] | 6 |
| Other off-site activity [AUTÓNOMA][Self-study] | 12 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 27 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources
| Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
|---|---|---|---|---|---|---|---|---|---|
| A. J. Arriaza Gómez y otros | Estadística Básica con R y R Commander | UCA | 978-84-9828-186-6 | Libro Libre | http://knuth.uca.es/ebrcmdr |
|
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| C. M. Cuadras | Problemas de probabilidades y estadística | PPU | 84-86130-06-9 | Signatura Biblioteca: 519.2 CUA |
|
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| C. Pérez López | Estadística : problemas resueltos y aplicaciones | Pearson educación | 84-205-3780-2 | 2003 | Signatura Biblioteca: 519.2 PER |
|
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| D. Peña | Fundamentos de estadística | Alianza Editorial | 978-84-206-8380-5 | 2008 | Signatura Biblioteca | http://site.ebrary.com/lib/bibliotecauclm/detail.action?adv.x=1&docID=11028686&f00=all&p00=Estad%C3%ADstica |
|
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| D. S. Moore | Estadística aplicada básica | Antoni Bosch | 978-84-95348-04-3 | 2009 | TEXTO DOCENTE Signatura Biblioteca: 519.2 MOO | http://site.ebrary.com/lib/bibliotecauclm/docDetail.action?docID=10609557 |
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| E. Gutiérrez González y O. Vladimirovna Panteleeva | Estadística inferencial para ingeniería y ciencias | Grupo Editorial Patria | 9786077444879 | 2016 | http://site.ebrary.com/lib/bibliotecauclm/detail.action?adv.x=1&docID=11379359&f00=all&p00=Estad%C3%ADstica | ||||
| F.J. Martín Pliego López y otros | Problemas de inferencia estadística | Thomson- Paraninfo | 84-9732-355-6 | 2002 | Signatura Biblioteca: 519.2(076) MAR |
|
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| H. A. Quevedo Urías y B. R. Pérez Salvador | Estadística para ingeniería y ciencias | Grupo Editorial Patria | 9786074389395 | 2014 | http://site.ebrary.com/lib/bibliotecauclm/detail.action?docID=11013660 | ||||
| I. Espejo Miranda y otros | Estadística descriptiva y probabilidad: teoría y problemas | UCA | 978-84-9828-467-6 | 2009 | http://site.ebrary.com/lib/bibliotecauclm/detail.action?docID=10844601 | ||||
| J.L. Devore | Probabilidad y estadística para ingeniería y ciencias.6ª edición. | Thomson | 970-686-457-1 | 2005 | Signatura Biblioteca: 519.2 DEV |
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| 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 |
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| R.S. Kenet y S. Zacks | Estadística Industrial Moderna | Thomson | 970-686-027-4 | 2000 | Signatura Biblioteca: 519.2 KEN |
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| S. J. Álvarez Contreras | Estadística aplicada | CLAG | 84-921847-4-4 | 2011 | Signatura Bibilioteca: 519.2 ALV |
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| W. Mendenhall | Probabilidad y estadística para ingeniería y ciencias | Pretice Hall | 968-880-960-8 | 1997 | Signatura Biblioteca: D 519.2(076) MEN |
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