Identifying Data 2024/25
Subject (*) Practicum (professional practice) Code 614522018
Study programme
Mestrado Universitario en Bioinformática para Ciencias da Saúde
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
Second Optional 3
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
Matemáticas
Coordinador
Sanchez Maroño, Noelia
E-mail
noelia.sanchez@udc.es
Lecturers
Dorado de la Calle, Julian
Eiras Franco, Carlos
Fariña Martinez, Antonio
Fernández Lozano, Carlos
Ladra González, Susana
Puente Castro, Alejandro
Sanchez Maroño, Noelia
Vila Taboada, Marta
E-mail
julian.dorado@udc.es
carlos.eiras.franco@udc.es
antonio.farina@udc.es
carlos.fernandez@udc.es
susana.ladra@udc.es
a.puentec@udc.es
noelia.sanchez@udc.es
marta.vila.taboada@udc.es
Web http://www.master.bioinformatica.fic.udc.es/
General description Esta materia permite que o alumno poida adquirir as competencias da titulación a través de traballo en empresas ou institucións públicas. O seu obxetivo é completar a formación do mestrado con estancias nestas entidades colaboradoras nas que experimentar o desenvolvemento da actividad de investigación ou profesional nunha contorna productiva. Dende a Facultade de Informática establécense convenios con distintas empresas ou institucións para a realización destas prácticas curriculares. Sen embargo, non é unha lista pechada, senón que está aberta a novas relación en función do interese das empresas o dos estudantes.

Competencies / Study results
Code Study programme competences / results
A3 CE3 – To analyze, design, develop, implement, verify and document efficient software solutions based on an adequate knowledge of the theories, models and techniques in the field of Bioinformatics
A6 CE6 - Ability to identify software tools and most relevant bioinformatics data sources, and acquire skill in their use
A7 CE7 - Ability to identify the applicability of the use of bioinformatics tools to clinical areas.
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.
B8 CG3 - Be able to work in a team, especially of interdisciplinary nature
C3 CT3 - Use the basic tools of the information technology and communications (ICT) necessary for the exercise of their profession and lifelong learning
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 / results
Have experience on research or professional activity within companies or public institutions in the field of bioinformatics and health informatics. AJ3
AJ6
AJ7
BJ1
BJ2
BJ3
BJ4
BJ5
BJ8
CJ3
CJ5
CJ6
CJ7
CJ8
Acquisition of communicative linguistic skills (comprehension, expression, etc.) spoken and written in professional environments. BJ4
BJ8
Obtaining the necessary techniques for making a report on a job done in a work environment. AJ3
AJ6
BJ4
BJ8
CJ3
Adaptation to new professional environments. BJ8
Experience of the student's professional performance and the assigned functions in a real company environment. AJ3
AJ6
AJ7
BJ1
BJ2
BJ3
BJ4
BJ5
BJ8
CJ3
CJ5
CJ6
CJ7
CJ8
Training to be part of a work team in the different positions assigned AJ3
AJ6
AJ7
BJ1
BJ2
BJ3
BJ4
BJ8
CJ6

Contents
Topic Sub-topic
External internships in companies or public institutions in the field of bioinformatics. Internships are carried out in companies and institutions in the field of bioinformatics and applied technology in the life and health sciences.
The student will be supervised by a professional and an academic tutor.
The student must submit a final report.
The professional tutor must issue a report on the activities carried out.
The final evaluation will be carried out by a committee of professors of the Master who will take into account the report submitted and the assessment of the professional tutor.

Planning
Methodologies / tests Competencies / Results Teaching hours (in-person & virtual) Student’s personal work hours Total hours
ICT practicals A3 A6 A7 B1 B2 B3 B4 B5 B8 C3 C5 C6 C7 C8 0 70 70
 
Personalized attention 5 0 5
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
ICT practicals The internship will depend on the type of center where the work is carried out, which will also depend on the student's profile.

Personalized attention
Methodologies
ICT practicals
Description
The internship requires the assignment of a professional tutor and an academic tutor.

The professional tutor will monitor the student's work and supervise the work report.

Assessment
Methodologies Competencies / Results Description Qualification
ICT practicals A3 A6 A7 B1 B2 B3 B4 B5 B8 C3 C5 C6 C7 C8 The student will inform the academic tutor of the tasks he is carrying out.

At the end of the internship, the student will hand in a report in which he lists and explains in detail the tasks carried out, the technological environment used - tools, standards and methodologies -, avoiding questions that could be considered confidential.

The professional tutor will send a confidential report to the subject coordinator and the academic tutor evaluating the student in different aspects.

In accordance with the Regulation of External Academic Practices of the students of the University of A Coruña (Approved by the Governing Council of April 23, 2013 and modified by the agreements of the Governing Council of 02/27/2015, 09/29/2015, 05/29 /2018, 04/06/2019 and 03/11/2022) the academic tutor will be in charge of "Evaluating, if necessary, and proposing the qualification of the curricular internship period" (Article 28, i)). and for that it will take "as a basis the follow-up of the student, the report of the person in charge of the tutoring in the collaborating institution, the follow-up reports issued and the final report drawn up by the student" (article 30). In this master's degree, the report of the professional tutor and the final report drawn up by the student will be decisive for the evaluation.
100
 
Assessment comments

For reports, the generic UDC forms will be used, available at the time of writing this guide here:

https://www.udc.es/es/emprego/practicas/Modelosdeconvenioseformularios/

Due to academic regulations, the number of Matrícula de Honor (MH) is limited (usually only 1), the procedure for granting it will be:

  • All students who obtain a grade equal to or higher than 9.5 will be candidates for the MH.
  • A committee formed by the academic tutors of the candidates for the mention of MH will decide the student/s who will achieve the MH.

Sources of information
Basic

The templates and company request process is done through the virtual campus.

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
Master thesis/614522025

Subjects that continue the syllabus

Other comments


(*)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.