Applied Logic

10 credits

Syllabus, Master's level, 1MA058

A revised version of the syllabus is available.
Code
1MA058
Education cycle
Second cycle
Main field(s) of study and in-depth level
Computer Science A1N, Mathematics A1N
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 3 November 2008
Responsible department
Department of Mathematics

Entry requirements

120 credit points including Logic and Proof Techniques I, Automata Theory

Learning outcomes

In order to pass the course (grade 3) the student should

  • be acquainted with the undecidability of predicate logic (Church's theorem);

  • be acquainted with the completeness theorem of propositional and predicate logic and their use;

  • be acquainted with and have skills in using methods for efficient representation and solution of problems in propositional logic;

  • have skills in formalizing problems in modal, propositional and predicate logic;

  • be acquainted with different interpretations of modal operators and applications to model checking problems;

  • have skills in model-theoretic reasoning in predicate and modal logic;

  • be acquainted with calculi and systems for automatic proof search in predicate logic;

  • be acquainted with decision methods for equational logic;

  • be able to use a proof support system based on a logical framework;

  • understand the algorithmic interpretation of intuitionistic logic and the principles of program extraction from proofs.

    Content

    Propositional logic: combinatorial problems as propositional problems. Methods for efficient solution and representation of propositional problems (Davis–Putnam, BDDs).

    Modal logic: possible worlds semantics, Kripke models.

    Interpretations of modal logic: Temporal logic and epistemic logic. Applications in model checking.

    Equational logic: terms, unification, universal algebra, equational reasoning, term rewriting.

    Predicate logic and proof search: the completeness theorem, proof search in some calculi (tableaux, resolution).

    Solvable and unsolvable problems: complete and decidable theories, quantifier elimination, Gödel's incompleteness theorem (without proof).

    Constructive logic and type theory: lambda calculus, simple type theory, intuitionistic logic, Martin-Löf type theory, propositions-as-types, program extraction from proofs, logical frameworks, proof support systems (Coq, Hol, Isabelle or Agda).

    Instruction

    Lectures and problem solving sessions.

    Assessment

    Written and, possibly, oral examination at the end of the course. Moreover, compulsory assignments may be given during the course.

  • FOLLOW UPPSALA UNIVERSITY ON

    facebook
    instagram
    twitter
    youtube
    linkedin