Identifying Data 2019/20
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 Face-to-face
Prerequisites
Department Bioloxía
Ciencias da Computación e Tecnoloxías da Información
Enxeñaría de Computadores
Fisioterapia, Medicina e Ciencias Biomédicas
Coordinador
E-mail
Lecturers
Bolón Canedo, Verónica
González Domínguez, Jorge
Ladra González, Susana
Martin Santamaria, Maria Jose
Martinez Lage, Andres
Munteanu , Cristian Robert
Novo Bujan, Jorge
Ortega Hortas, Marcos
Parapar López, Javier
Pereira Loureiro, Javier
Rey Expósito, Roberto
Rivadulla Fernandez, Juan Casto
E-mail
veronica.bolon@udc.es
jorge.gonzalezd@udc.es
susana.ladra@udc.es
maria.martin.santamaria@udc.es
andres.martinez@udc.es
c.munteanu@udc.es
j.novo@udc.es
m.ortega@udc.es
javier.parapar@udc.es
javier.pereira@udc.es
roberto.rey.exposito@udc.es
casto.rivadulla@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.

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
Saber desenvolver, presentar e defender ante un tribunal un proxecto integral de Informática biomédicas de natureza investigadora no que se sinteticen as competencias adquiridas no título AJ1
AJ10
BJ1
BJ2
BJ3
BJ4
BJ5
BJ6
BJ7
BJ8
CJ1
CJ2
CJ3
CJ4
CJ5
CJ6
CJ7
CJ8

Contents
Topic Sub-topic
No Traballo Fin de Mestrado, o estudante debe realizar un proxecto integral de bioinformática , de natureza investigadiora ou profesional, no que se sinteticen as competencias adquiridas na titulación. Para proceder a súa defensa, o estudante deberá ter superados os créditos do resto das materias do mestrado.

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
Supervised projects A1 A10 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 15 270 285
 
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 O traballo fin de mestrado será defendido frente a un tribunal que será establecido pola Comisión Académica para cada convocatoria
Supervised projects O alumno deberá facer un traballo no ámbito da bioinformática ou a informática da saúde orixinal tutorizado por un profesor da titulación coa posibilidade de codirección de outros profesionais ou investigadores relacionados coa temática do traballo

Personalized attention
Methodologies
Oral presentation
Supervised projects
Description
Durante o traballo o alumno deberá recibir atención personalizada por parte do seu tutor ou tutores.
A atención personalizada é fundamental para definir, orientar, supervisar e delimitar o traballo, así como para preparar a proba oral.

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 Presentación oral e defensa ante un tribunal.
A presentación debe plasmar de maneira resumida as características e a profundidade do traballo realizado.
No turno de preguntas debe demostrarse claridade e coñecemento sobre as cuestiones planteadas polo tribunal.
30
Supervised projects A1 A10 B1 B2 B3 B4 B5 B6 B7 B8 C1 C2 C3 C4 C5 C6 C7 C8 Realización dun proxecto integral e orixinal no ámbito da bioinformática de naturaleza investigadora ou profesional.
Os elementos a valorar son:
- Orixinalidade, calidade e alcance do traballo presentado (40%)
- Memoria (30%)
70
 
Assessment comments

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.

PLAGIARISM

Case of detecting fraud, copy or plagiarism in the writing of the work of the subject, implying a failure in the evaluation opportunity (0,0) and direct referral to the following opportunity. This attitude will be communicated to the Academic Committee and the other professors of the degree. In the event that the irregularity is reiterated in a 2nd evaluation, the Commission will be responsible for the temporary or perpetual expulsion of the student from the Degree taken.



(*)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.