Guías Docentes Electrónicas
1. General information
Course:
HEALTH SCIENCES STATISTICS
Code:
15304
Type:
BASIC
ECTS credits:
6
Degree:
387 - UNDERGRADUATE DEGREE PROGRAMME IN NURSING (TO)
Academic year:
2022-23
Center:
109 - FACULTAD DE FISIOTERAPIA Y ENFERMERÍA
Group(s):
41 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: IRENE GARCIA CAMACHA GUTIERREZ - Group(s): 41 
Building/Office
Department
Phone number
Email
Office hours
Politécnico/2-C22
MATEMÁTICAS
925258800 Ext. 5356
Irene.GarciaCamacha@uclm.es

Lecturer: RAUL MARTIN MARTIN - Group(s): 41 
Building/Office
Department
Phone number
Email
Office hours
Edificio 21 / 1.25
MATEMÁTICAS
925268800 Ext. 5375
raul.mmartin@uclm.es

Lecturer: CRISTINA PALOMINO ROSADO - Group(s): 41 
Building/Office
Department
Phone number
Email
Office hours
MATEMÁTICAS
Cristina.Palomino@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
A16 To describe the primary health care level and the activities to be developed in there to provide comprehensive nursing care to the individual, the family and the community. To understand the function and activities and cooperative attitude that the professional has to develop in the Primary Health Care team. To promote the participation of people, family and groups in their health-disease process. To identify the factors related to health and environmental problems, to assist people in situations of health and illness as members of a community. To identify and analyze the influence of internal and external factors on the individuals¿ and groups¿ health. To apply the necessary methods and procedures in their work area to identify the most relevant health problems in a community.
B02 To master the Information and Communication Technologies (ICT).
B03 To demonstrate a correct oral and written communication.
C01 Learning to learn.
C03 To apply critical, logical and creative thinking, demonstrating innovation skills.
C04 To work autonomously with responsibility and initiative.
C05 To work in a team in a collaborative way and shared responsibility.
C06 To communicate information, ideas, problems and solutions clearly and effectively in a specific public or technical field.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Knowledge of the principles of health research.
Estimation of the test statistics, parameters and probability.
Identification and resolution of a statistical issue: variables, data, population, sample, tables and graphics.
Work and communicate effectively with all team members.
Use of professional language that encourages communication in the collaborative work group both in oral and/or written form.
Application of the above concepts in the different proposed studies.
Understanding of the scientific method.
Interpretation of hypothesis tests.
Accept responsibility of their own learning-process and professional development, using assessment as a means of reflecting and improving their performance.
Demonstrate skills in the use of information and communication technologies.
Determination of the dependence and independence of qualitative and quantitative variables.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1:
  • Unit 2:
  • Unit 3:
  • Unit 4:
  • Unit 5:
  • Unit 6:
  • Unit 7:
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 A16 B03 C03 1.2 30 N N
Workshops or seminars [ON-SITE] Problem solving and exercises A16 B02 B03 C01 C03 C04 C05 C06 1.04 26 Y Y
Writing of reports or projects [OFF-SITE] Self-study A16 B02 B03 C01 C03 C04 C05 C06 0.8 20 Y N
Study and Exam Preparation [OFF-SITE] Self-study A16 B02 B03 C01 C03 C04 C05 C06 2.8 70 N N
Final test [ON-SITE] Assessment tests A16 B02 B03 C03 C06 0.16 4 Y 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 (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 activities done in the computer labs 20.00% 0.00%
Final test 70.00% 100.00%
Assessment of problem solving and/or case studies 10.00% 0.00%
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
Final test [PRESENCIAL][Assessment tests] 3

Unit 1 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Writing of reports or projects [AUTÓNOMA][Self-study] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 41:
Initial date: 30-01-2023 End date: 10-02-2023

Unit 2 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 4
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 41:
Initial date: 06-02-2023 End date: 24-02-2023

Unit 3 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 4
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 41:
Initial date: 20-02-2023 End date: 10-03-2023

Unit 4 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 2
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 41:
Initial date: 13-03-2023 End date: 24-03-2023

Unit 5 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 2
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 42:
Initial date: 20-03-2023 End date: 21-04-2023

Unit 6 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 2
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 42:
Initial date: 27-03-2023 End date: 21-04-2023

Unit 7 (de 7):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 6
Workshops or seminars [PRESENCIAL][Problem solving and exercises] 3
Writing of reports or projects [AUTÓNOMA][Self-study] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Group 41:
Initial date: 17-04-2023 End date: 12-05-2023

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
Cobo Valerí, E. Bioestadística para no estadísticos: bases para interpretar Barcelona Elsevier Masson 978-84-458-1782-7 2010  
Martín Andrés, A. Bioestadística para las ciencias de la salud (+) Madrid Norma-Capitel 84-8451-018-2 2004 Ficha de la biblioteca
Martínez González A, Sánchez-Villegas A, Toledo Atucha EA, Faulin Fajardo J Bioestadística amigable / Barcelona Elsevier, 978-84-9022-500-4 2014 Ficha de la biblioteca
Pardo Merino, Antonio Análisis de datos en ciencias sociales y de la salud Madrid Pearson Education 978-84-975664-7-6 2014  
Pérez López, César (1955-) Técnicas de análisis de datos con SPSS 15 / Madrid Pearson Educacion, 978-84-8322-601-8 2009 Ficha de la biblioteca
Álvarez Cáceres, Rafael Estadística aplicada a las ciencias de la salud Madrid Díaz de Santos 978-84-7978-823-0 2007 Ficha de la biblioteca



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