MSc in Information Studies 

at UVA Amsterdam, Amsterdam

• Literature research
• Academic writing
• The ability to make abstractions from different contexts based on analytical thinking
• Research skills, scientific reasoning
• Reflection: critical assessment on general accepted theories
• Ability to framing: the use of different interpretation schemes (frames) to reason about reality
• Statistics (research methodology)

• Students must be able to:
  • Collect and read in datasets in various formats and write scripts to do basic data pre-processing
  • Take an algorithm of moderate complexity described in pseudo-code and programme it in one or more programming languages
  • Write scripts for applying basic machine learning, statistics, and visualisation on the basis of a library with tools

• Good understanding of the following topics:
  • Random variables, basic distributions such as the normal and binomial distributions, expectations, mean and variance;
  •   Multiple regression, correlation, and hypothesis testing.
• Students must be able to:
  • Calculate a confidence interval for the expectation on the basis of outcomes of an experiment  do multiple regression in an appropriate tool and interpret the outcomes such as R^2
  • Do calculations with the distribution function of for example binomial random variable

• Knowledge and data: Entity – Relationship Diagrams, Ontologies, Knowledge Representation fundamentals, Semantic Web technologies (RDF, OWL)
• Databases and data structures: SQL, Relational Model, Relational Database use.

• Empirical research

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