Checking date: 02/06/2023

Course: 2024/2025

Data Design for Sensemaking
Bachelor in Management and Technology (Plan: 486 - Estudio: 351)

Coordinating teacher: DIAZ PEREZ, MARIA PALOMA

Department assigned to the subject: Computer Science and Engineering Department

Type: Electives
ECTS Credits: 6.0 ECTS


Skills and learning outcomes
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

Extraordinary call: regulations

The course syllabus may change due academic events or other reasons.