1. Set theory

Content covered:

  • basic notions of (naïve) set theory
    • sets, elements, relations between and operations on sets
    • relations and their properties
    • functions and their properties
  • examples of informal proofs
    • counterexamples
    • direct, indirect proofs
    • inductive proofs

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2. Propositional logic

Content covered:

  • syntax & semantics of propositional logic;
  • truth-tables
  • tautologies vs. contradictions vs. contingencies
  • logical equivalence
  • translations from natural language into propositional logic
  • semantic meaning vs. pragmatic enrichment
  • argument schemas & logical validity.

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3. Natural deduction

Content covered:

  • semantic vs. syntactic approach to logical inference
  • derivations and derivation rules
  • soundness & completeness
  • natural deduction system

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4. Predicate logic

Content covered:

  • formulas of predicate logic
  • predicate letters, variables & individual constants
  • domain of quantification
  • quantifier scope and binding
  • atomic sentences
  • predicate-logical meaning of natural language sentences
  • semantics of predicate logic
  • model, domain and interpretation function
  • assignment and valuation functions
  • validity
  • predicate logic with identity

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4. Modal logic

Content covered:

  • language of modal logic
  • (pointed) modal models
  • truth in pointed models
  • belief and knowledge models

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5. Probability theory

Content covered:

  • basics of probability theory
    • axiomatic definition & interpretation
    • joint distributions
    • marginalization
    • conditional probability
    • Bayes rule
    • stochastic independence
  • random variables & expected values

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6. Information theory

Content covered:

  • information content / surprisal
  • entropy (joint, conditional, cross)
  • Kullback-Leibler divergence
  • mutual information

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