Identifying Data

2019/20

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

Language

Spanish

Galician

English

Teaching method

Face-to-face

Prerequisites

Department

Coordinador

E-mail

Lecturers

E-mail

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.
Na web da Facultade de Informática irase informando dos convenios ya establecidos, non sendo una lista pechada senon que está aberta a novas relación en función do interese das empresas o dos estudantes.
Estas prácticas terán un titor académico asignado pola comisión académica e un titor da empresa designado pola propia empresa.

Study programme competencies

Code	Study programme competences
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
Poseer experiencia real sobre a actividade de investigación ou profesional dentro das empresas ou institucións públicas no ámbito da bioinformática e a informática da saúde	AJ3 AJ6 AJ7	BJ1 BJ2 BJ3 BJ4 BJ5 BJ8	CJ3 CJ5 CJ6 CJ7 CJ8

Contents

Topic	Sub-topic
Prácticas en empresa	As prácticas realízanse en empresas e institucións do ábito da bioinformñatica e tecnoloxía aplicada as ciencias da vida e da saúde

Planning

Methodologies / tests	Competencies	Ordinary class hours	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	As prácticas van a depender do tipo de centro onde se leva a cabo o traballo que dependerá tamén do perfil do estudante.

Personalized attention

Methodologies

ICT practicals

Description

Débese destacar particularmente a importancia do papel do profesor titor, esencial para un axeitado aproveitamento da estancia do estudante, así como para facilitar a relación da Facultade cas empresas colaboradoras.

Assessment

Methodologies	Competencies	Description	Qualification
ICT practicals	A3 A6 A7 B1 B2 B3 B4 B5 B8 C3 C5 C6 C7 C8	O estudante informará ao titor académico das tarefas que está a realizar. Ao rematar a práctica, o estudante entregará un informe donde enumere e explique en detalle as tarefas realizadas, a contorna tecnológica utilizada -ferramentas, estándares e metodoloxías-, evitando as cuestiones que poidan considerarse confidenciales. A extensión recomendada é de aproximadamente 3 páxinas. O titor profesional entregará un informe avaliando a actividad do estudante. O titor académico avaliará a práctica e emitirá un informe final: - Valoración da memoria: 50% - Valoración do titor profesional: 50% Estas porcentaxes é orientativa e poderá modificarse en función do criterio do titor	100

Assessment comments

Sources of information

Basic
	As plantillas e procesos de petición de empresas realízase a través de Moodle
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.