Català Castellano
DEGREE CURRICULUM
STORYTELLING WITH DATA
Coordination:
VILAPRIÑO TERRE, ESTER
Academic year 2020-21
DEGREE CURRICULUM: STORYTELLING WITH DATA 2020-21

Subject's general information
Subject nameSTORYTELLING WITH DATA
Code14709
Semester1st Q(SEMESTER) CONTINUED EVALUATION
Typology
DegreeCourseCharacterModality
Master's Degree in Biomedical Research1OPTIONALAttendance-based
Course number of credits (ECTS)4
Type of activity, credits, and groups
Activity typePRAULATEORIA
Number of credits2.51.5
Number of groups11
CoordinationVILAPRIÑO TERRE, ESTER
DepartmentBASIC MEDICAL SCIENCES
Important information on data processingConsult this link for more information.
Teaching staffE-mail addressesCredits taught by teacherOffice and hour of attention
SORRIBAS TELLO, ALBERTalbert.sorribas@udl.cat1
VAQUEIRO DE CASTRO ALVES, RUI CARLOSrui.alves@udl.cat1
VILAPRIÑO TERRE, ESTERester.vilaprinyo@udl.cat2
Learning objectives

Learning results:

Competences


CB1 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context

CB2 Know how to apply the knowledge acquired and be able to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of ​​study

CB3 Being able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.

CB4 Know how to communicate their conclusions –and the latest knowledge and reasons that support them– to specialized and non-specialized audiences in a clear and unambiguous way

CB5 Possess the learning skills that allow them to continue studying in a way that will have to be largely self-directed or autonomous

CG3 Capacity for teamwork, leadership and decision making.

CG4 Ability to think critically and creatively with your work and that of other researchers

CG5 Ability to prepare, process and interpret the results obtained with rigor and applying the appropriate technologies

CG6 Know how to guide research towards lines of medical and translational interest (diagnosis and therapy)

CG7 Be able to present scientific reports and scientific articles that can be considered for publication in international journals.

CE4 Recognize high throughput techniques and be able to use bioinformatic data analysis tools.

CT1 Have a correct oral and written expression

CT2 Mastering a foreign language

CT3 Mastering ICT

CT4 Respect the fundamental rights of equality between men and women, the promotion of Human Rights and the values ​​proper to a culture of peace and democratic values
 

Subject contents
  1. Story trends from data: Linear Regression and Correlations.
  2. From complex data to a simpler story: Principal Component Analysis and Factor Analysis.
  3. Group building from data: Clusters and Dendograms.
  4. Group assignment from data: Logistic Regression, Neural Networks, and Support Vector Machine.
  5. Story telling tools I. A sip of R: Tydiverse, Ggplot2, Plotly, Shiny, and Leaflet.
  6. Story telling tools II. A sip of Phyton: Seaborn, Pandas, and Numpy.
Methodology
Development plan
Evaluation
Bibliography

Web links, articles, data collections, etc. will be provided during the course and made available at the virtual campus.

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