Checking date: 30/03/2020

Course: 2020/2021

Data design for sensemaking
Study: Bachelor in Management and Technology (351)

Coordinating teacher: DIAZ PEREZ, MARIA PALOMA

Department assigned to the subject: Department of Computer Science and Engineering

Type: Electives
ECTS Credits: 6.0 ECTS


Description of contents: programme
I: Data design and integration 1. Context of Data Governance 2. Data integration models (datawarehouse and virtual models) 3. Heterogeneous Data. Mediated Schema. Schema Matching and Mapping. 4. Obtaining Data. Crawlers. Wrappers. Data Integration on the web. 5. NoSQL databases in data integration. 6. Working with data using map-reduce paradigm II: Data visualization 1. Sensemaking and Situational Awareness in the Big Data Era 2. Visual Analytics: History, Definition and Building Process 3. Principles of Human Computer Interaction: Perception, Cognitive Aspects, Semiotics and Creativity 4. Interaction with Visual Interfaces 5. Geo-spatial and Temporal Data Processing 6. Deep Learning Models 7. Applications of Visual Analytics
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

The course syllabus and the academic weekly planning may change due academic events or other reasons.