CONTENT

1. Introduction
ENSE 3 Smart-* programs: [PDF] YouTube session-1 YouTube-session-2
EGI Industry 4.0 program Smart Analytics Course: [PDF] YouTube-session

  1. Data centric sciences: Principles and common aspects
  2. Digital data collections: Characteristics and properties
  3. Data science: Big data, data analytics algorithms & tools

2. Designing experiments
ENSE 3 Smart-* programs: [PDF] [PDF] YouTube session-1 YouTube session-2
EGI Industry 4.0 program Smart Analytics Course: [PDF] YouTube session

  1. Data collections life cycle
  2. Persistence: archiving vs managing
    • FAIR and CARE properties
    • Human in the loop
  3. Architectural settings: From in house to large scale experiments
3. Data preparation
  • Exploring and preparing data collections for building corpora
  • Data Quality: bias & responsibility
  • Understanding datasets
    • Statistical method
    • Machine learning method
4. Modelling knowledge
  • Graphs for representing and understanding content
  • Exploring graphs [PDF]
5. Predicting knowledge