Identifying Data 2021/22
Subject (*) Master thesis Code 614522025
Study programme
Mestrado Universitario en Bioinformática para Ciencias da Saúde
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
Second Obligatory 12
Language
Spanish
Galician
English
Teaching method Hybrid
Prerequisites
Department Bioloxía
Ciencias da Computación e Tecnoloxías da Información
Enxeñaría de Computadores
Fisioterapia, Medicina e Ciencias Biomédicas
Matemáticas
Coordinador
E-mail
Lecturers
Cao Abad, Ricardo
Cid Blanco, Angeles
Fariña Martinez, Antonio
Fernández Lozano, Carlos
Gonzalez Siso, Maria Isabel
Ladra González, Susana
López Cheda, Ana
Munteanu , Cristian Robert
Novo Bujan, Jorge
Ortega Hortas, Marcos
Pereira Loureiro, Javier
Rodriguez Penabad, Miguel
Rodríguez Tajes, Álvaro
E-mail
ricardo.cao@udc.es
angeles.cid@udc.es
antonio.farina@udc.es
carlos.fernandez@udc.es
isabel.gsiso@udc.es
susana.ladra@udc.es
ana.lopez.cheda@udc.es
c.munteanu@udc.es
j.novo@udc.es
m.ortega@udc.es
javier.pereira@udc.es
miguel.penabad@udc.es
a.tajes@udc.es
Web http://www.master.bioinformatica.udc.es
General description O Traballo Fin de Mestrado é un exercicio orixinal a realizar individualmente, consistente nun proxecto integral no ámbito da bioinformática dende unha perspectiva tecnolóxica ou das ciencias da vida ou da saúde. De natureza profesional ou investigadora no que se sinteticen as competencias da titulación, e que para superalo presentarase e defenderase diante dun tribunal universitario, cando se teñan superados os outros créditos da titulación.
Contingency plan 1. Modificacións nos contidos
Nos se producen
2. Metodoloxías
*Metodoloxías docentes que se manteñen
Exposición oral
*Metodoloxías docentes que se modifican
A exposición oral faranse mediante a plataforma Teams de modo síncrono
3. Mecanismos de atención personalizada ao alumnado
Os tutores faran as tutorias e seguimento do traballo mediante os mecanismso que definan para cada caso pero empregarán preferentemente a teleconferencia
4. Modificacións na avaliación
Non se produce. Seguirase a normativa


5. Modificacións da bibliografía ou webgrafía

Study programme competencies
Code Study programme competences
A1 CE1 - Ability to know the scope of Bioinformatics and its most important aspects
A10 CE10 - Draft a bioinformatics research project, anticipating obstacles and possible alternative strategies to resolve them.
B1 CB6 - Own and understand knowledge that can provide a base or opportunity to be original in the development and/or application of ideas, often in a context of research
B2 CB7 - Students should know how to apply the acquired knowledge and ability to problem solving in new environments or little known within broad (or multidisciplinary) contexts related to their field of study
B3 CB8 - Students to be able to integrate knowledge and deal with the complexity of making judgements from information that could be incomplete or limited, including reflections on the social and ethical responsibilities linked to the application of their skills and judgments
B4 CB9 - Students should know how to communicate their findings, knowledge and latest reasons underpinning them to specialized and non-specialized audiences in a clear and unambiguous way
B5 CB10 - Students should possess learning skills that allow them to continue studying in a way that will largely be self-directed or autonomous.
B6 CG1 -Search for and select the useful information needed to solve complex problems, driving fluently bibliographical sources for the field
B7 CG2 - Maintain and extend well-founded theoretical approaches to enable the introduction and exploitation of new and advanced technologies
B8 CG3 - Be able to work in a team, especially of interdisciplinary nature
C1 CT1 - Express oneself correctly, both orally writing, in the official languages of the autonomous community
C2 CT2 - Dominate the expression and understanding of oral and written form of a foreign language
C3 CT3 - Use the basic tools of the information technology and communications (ICT) necessary for the exercise of their profession and lifelong learning
C4 CT4 - Be able to analyze the real situation, formulate and implement solutions based on knowledge and aimed at the common good and the exercise of open, educated, critical, committed, democratic and solidary citizenship.
C5 CT5 - Understand the importance of entrepreneurial culture and know the means available to enterprising people
C6 CT6 - To assess critically the knowledge, technology and information available to solve the problems they face to.
C7 CT7 – To maintain and establish strategies for scientific updating as a criterion for professional improvement.
C8 CT8 - Rating the importance that has the research, innovation and technological development in the socio-economic and cultural progress of society

Learning aims
Learning outcomes Study programme competences
Know how to develop, present and defend before a court a comprehensive biomedical informatics project of a research or professional nature in which the competences acquired in the degree are synthesized. AJ1
AJ10
BJ1
BJ2
BJ3
BJ4
BJ5
BJ6
BJ7
BJ8
CJ1
CJ2
CJ3
CJ4
CJ5
CJ6
CJ7
CJ8

Contents
Topic Sub-topic
In the Master's Thesis, the student must carry out a comprehensive bioinformatics project, of a research or professional nature, in which the competences acquired in the degree are synthesized. In order to proceed to the defense, the student must have passed the credits of the rest of the subjects of the master's degree.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Oral presentation A1 A10 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 2 3 5
Aprendizaxe servizo A10 A1 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 1 0 1
Supervised projects A10 A1 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 14 270 284
 
Personalized attention 10 0 10
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Oral presentation The master's thesis will be defended in front of an examining board that will be established by the Academic Committee for each call.
Aprendizaxe servizo Desenvolvemento do traballo no contexto de necesidades reais da súa contorna coa fin de mellorala, en colaboración con algunha entidade e co obxectivo de proporcionar un servizo á comunidade.

Esta metodoloxía constitúe unha posible modalidade (non obrigatoria) de desenvolvemento do TFM
Supervised projects The student must do a work in the field of bioinformatics or original health informatics tutored by a professor of the degree with the possibility of co-direction of other professionals or researchers related to the subject of the work.

Personalized attention
Methodologies
Oral presentation
Supervised projects
Description
During the work the student should receive personalized attention from his/her tutor(s).
Personalized attention is essential to define, guide, supervise and delimit the work, as well as to prepare the oral test.

Assessment
Methodologies Competencies Description Qualification
Oral presentation A1 A10 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 Oral presentation and defense before a panel of judges.
The presentation should summarize the characteristics and depth of the work done.
The question and answer session should demonstrate clarity and knowledge of the issues raised by the panel.
30
Supervised projects A10 A1 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 Completion of a comprehensive and original project in the field of bioinformatics of a research or professional nature.
The elements to be evaluated are:
- Originality, quality and scope of the work presented.
- Document
70
 
Assessment comments

The grading system will be expressed by means of a numerical grade in accordance with that established in art. 5 of Royal Decree 1125/2003 of September 5 (BOE September 18), which establishes the European credit system and the grading system for official university degrees valid throughout the national territory Grading system:

0-4.9=Suspenso

5-6.9=Aprobado

7-8.9=Notable

9-10=Sobresaínte

9-10 Matrícula de Honra (Graciable)

Master website publishes the regulations and deadlines for the procedures for the delivery and defense of the Master Thesis

https://www.master.bioinformatica.fic.udc.es/trabajo-fin-master/normativa-tfm/


Sources of information
Basic Web master Bioinformatica (2018). Normativa TFM Máster Bioinformática. https://www.master.bioinformatica.fic.udc.es/

https://www.master.bioinformatica.fic.udc.es/trabajo-fin-master/normativa-tfm/

Complementary


Recommendations
Subjects that it is recommended to have taken before
Introduction to databases/614522002
Introduction to molecular biology/614522004
Genetics and molecular evolution/614522005
Genomics/614522006
Data structures and algorithmics for biological sequences/614522013
Advanced processing of biological sequences/614522020
New trends and applications in bioinformatics and biomedical engineering/614522021
Biomedical knowledge management /614522022
Design and management of research projects/614522023
Computational intelligence for high dimensional data/614522024
Biomechanical engineering, sensoring and telemedicine/614522014
Fundamentals of neuroscience/614522015
Neuroengineering and innovation in neuroscience/614522016
Health Information Systems/614522017
Advanced medical visualization/614522019
Computational intelligence for bioinformatics/614522012
Fundamentals of bioinformatics/614522008
Advanced statistical methods in bioinformatics/614522009
Analysis of biomedical images/614522010
High performance computing in bioinformatics/614522011
Introduction to programming/614522001
Probability. statistics and elements of biomathematics/614522007
Foundations of Artificial Intelligence/614522003

Subjects that are recommended to be taken simultaneously
Practicum (professional practice)/614522018

Subjects that continue the syllabus

Other comments

To help get an sustainable environment, the classworks will be :

a.- Majority will be requested in digital electronic.

b.- If is necessary use paper:

- Plastics will not be used.

- Double-sided prints will be made.

- Recycled paper will be used.

- Drafting will be avoided.



(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.