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3.1

Data

IB Digital Society Syllabus

SL & HL

Data examines the different types, uses, representations, and implications of data. You will study:

You will also learn about the four characteristics of big data – volume, variety, velocity, and veracity . Applications include predictive analysis, modeling, and understanding past, present, and future human behaviour. This topic also introduces dilemmas involving data bias, reliability, integrity, ownership, access, privacy, anonymity, surveillance, and personally identifiable information .

Key takeaway – Data is not simply information stored on computers. You need to understand how data is collected, organized, analyzed, secured, and used, as well as the opportunities and ethical dilemmas created by doing so.

Syllabus concepts to know
  • 3.1.1 There are many types, uses and ways of representing data.
  • 3.1.2 Big data and data analytics involve extracting and processing useful information in ways that are often impossible for humans.
  • 3.1.3 There are significant opportunities and dilemmas associated with data in digital society.
  • 3.1.4 Data as distinct from information, knowledge and wisdom
  • 3.1.5 Types of data
  • 3.1.6 Uses of data
  • 3.1.7 Data life cycle
  • 3.1.8 Ways to collect and organize data
  • 3.1.9 Ways of representing data
  • 3.1.10 Data security
  • 3.1.11 Characteristics and uses of big data and data analytics
  • 3.1.12 Data dilemmas

2.7 Values and ethics

3.2 Algorithms

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