ECTS credits ECTS credits: 3
ECTS Hours Rules/Memories Student's work ECTS: 51 Hours of tutorials: 3 Expository Class: 9 Interactive Classroom: 12 Total: 75
Use languages Spanish, Galician
Type: Ordinary subject Master’s Degree RD 1393/2007 - 822/2021
Departments: Statistics, Mathematical Analysis and Optimisation
Areas: Statistics and Operations Research
Center Faculty of Optics and Optometry
Call: First Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
- Familiarization of the student with the advanced techniques of Statistics and their application in the field of Optometry.
- Manage a statistical package that allows the analysis of data obtained in research in the field of Optometry.
Item 1. Review of the basic concepts of descriptive statistics, probability and statistical inference.
Item 2. Analysis of variance with one or more factors.
Item 3. Single and multiple regression models. Correlation. Analysis of covariance.
Item 4. Non-parametric tests for one, two and more samples.
Item 5. Contingency tables and association measures.
Basic bibliography:
Agresti, A. (2012). Categorical data analysis. 3ª edición. Wiley.
Cao, R. e outros (2001). Introducción a la estadística y sus aplicaciones. Madrid: Pirámide.
Peña, D. (2002). Regresión y diseño de experimentos. Alianza Editorial.
Complementary bibliography:
Crujeiras, R.M. e Faraldo, P. (2010). Manual de estadística básica para ciencias de la salud. Santiago de Compostela: Universidade de Santiago de Compostela, Departamento de Estatística e Investigación Operativa.
Milton, J.S. (2007). Estadística para biología y ciencias de la salud. 3ª ed. ampliada. Madrid: Mc Graw-Hill Interamericana.
In this subject the student will practice a series of basic, general and transversal competences, typical of the Master in Optometry, and specific competences of this particular subject. Specifically, the following competences are worked on in this area:
Basic and general competences
CG2 - Demonstrate the ability to work in collaboration with other professionals as a member of a multidisciplinary team with a high degree of efficiency.
CG3 - Acquire knowledge and skills necessary for incorporation into specialized professional practice and research in the field of Optometry.
CG5 - Transmit the results of the research to specialized, academic and general audiences.
CB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, to look at in a research context.
CB7 - That students leave to apply the knowledge acquired and their ability to solve problems in new or little-known neighborhoods within broader (or multidisciplinary) contexts related to their area of study.
CB8 - That students are able to integrate knowledge and face the complexity of formulating judgments from information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
CB9 - That the students go out to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way.
CB10 - That students possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
Transversal competences
CT1 - Participate in debates and discussions, direct and coordinate them and be able to summarize them and draw from them the most relevant conclusions accepted by the majority.
CT2 - Use the different techniques of oral and written presentations, presentations, panels, etc., to communicate their knowledge, proposals and positions.
CT3 - Develop critical, self-critical and decision-making skills.
CT4 - Ability to handle Information and Communication Technologies (ICT)
CT5 - Capacity for reflection from different perspectives of knowledge.
Specific competences
CE6 - Apply the methodology and procedures of scientific research in Vision Sciences.
CE7 - Acquire knowledge and skills from different perspectives of knowledge in Vision Sciences.
The teaching consists of:
- Teaching of theoretical contents (9 asynchronous non-presential hours). It is non-presential, so materials will be provided with the development of each of the topics, along with some exercises solved and others proposed for the student to verify their progress.
- Computer practices (12 face-to-face hours programmed in 6 sessions of two hours), where practical cases are solved using statistical software.
- Tutorials (3 hours face-to-face, telematic or by email), in which a follow-up of the learning is carried out and doubts are resolved. The scheduling of a possible face-to-face tutoring session will be done according to the student group, while individual tutorials will attend to the specific demands of each student.
- Written exam (3 face-to-face hours).
Continuous assessment (50%): continuous assessment will take place throughout the semester. It shall consist of the following elements:
-Resolution of proposed exercises through the virtual platform, which will be delivered together with the necessary explanatory report. Through this activity, the following competences are evaluated: CG2, CG3, CG5, CB6, CB7, CB9, CB10, CT2, CE6, CE7,
-Evaluation forms of the practical computer classes, which will be carried out in the hours of practical teaching. Through this activity, the following competences are evaluated: CG3, CB6, CT1, CT3, CT4, CE6, CE7.
The grade obtained by continuous evaluation will be kept only for the recovery test of the same course.
Final exam (50%): the final exam will consist of several theoretical-practical questions about the contents of the subject, which may include the interpretation of results obtained with the statistical software used in practical computer teaching. Through this activity, the competences are evaluated: CG3, CB6, CB8, CB9, CT5, CE6, CE7.
It is considered that a student was presented when he/she participated in some evaluation activity, either by continuous evaluation or by examination.
FACE-TO-FACE WORK IN THE CLASSROOM
Computer practices (12 hours)
Tutorials (3 hours)
Taking the exam (3 hours)
TOTAL WORK IN CLASSROOM (18 hours)
INDIVIDUAL OR GROUP WORK (57 hours)
- Attendance to face-to-face activities and monitoring of the tasks proposed for the theoretical content.
- Make use of the tutorials to consult any questions that may arise.
The materials of the subject will be provided through the Virtual Campus.
For cases of fraudulent performance of exercises or tests, the one included in the "Regulations for the evaluation of students' academic performance and the review of grades" will apply.
Cesar Andres Sanchez Sellero
Coordinador/a- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- Phone
- 881813208
- cesar.sanchez [at] usc.es
- Category
- Professor: University Lecturer
| Monday | |||
|---|---|---|---|
| 16:30-18:30 | Grupo /CLIL_01 | Spanish | Computer Room |
| Tuesday | |||
| 16:00-18:00 | Grupo /CLIL_01 | Spanish | Computer Room |
| Wednesday | |||
| 16:00-18:00 | Grupo /CLIL_01 | Spanish | Computer Room |
| 01.17.2025 16:00-18:00 | Grupo /CLE_01 | Classroom 3 |
| 06.12.2025 16:00-18:00 | Grupo /CLE_01 | Classroom 3 |