Mathematical Logic
Code  Completion  Credits  Range  Language 

BIELOG.21  Z,ZK  5  2P+2C  English 
 Garant předmětu:
 Kateřina Trlifajová
 Lecturer:
 Kateřina Trlifajová
 Tutor:
 Kateřina Trlifajová
 Supervisor:
 Department of Applied Mathematics
 Synopsis:

The course focuses on the basics of propositional and predicate logic. It starts from the semantic point of view. Based on the notion of truth, satisfiability, logical equivalence, and the logical consequence of formulas are defined. Methods for determining the satisfiability of formulas, some of which are used for automated proving, are explained. This relates to the P vs. NP problem and Boolean functions in propositional logic. In predicate logic, the course further deals with formal theories, such as arithmetics, and their models. The syntactic approach to mathematical logic is demonstrated on the axiomatic system of propositional logic and its properties. Gödel's incompleteness theorems is explained.
 Requirements:

Knowledge of basic mathematical structures from algebra and analysis
 Syllabus of lectures:

1.Historical introduction. Syntax and semantics of propositional logic. Proof by induction.
2.Logical equivalence. Full and minimal conjunctive and disjunctive normal forms.
3.Logical consequence. Tableau method for propositional logic.
4.Resolution method. SAT problem. P vs. NP problem.
5.Boole algebra. Boolean functions.
6.Predicate logic. Syntax. Interpretation.
7.Logical truth, satisfiability, contradictions. Logical equivalence.
8.Logical consequence. Tableau method for predicate logic.
9.Prenex normal forms. Resolution method for predicate logic.
10.Firstorder theories and its models. Ordering, equivalence, arithmetic.
11.Axiomatic system of propositional logic.
12.Consistency, correctness, completeness.
13.Gödel incompleteness theorems.
 Syllabus of tutorials:

1.Propositional formulas. Truth tables. Formalization.
2.Basic logical laws. Universal system of connectives.
3.Disjunctive and conjunctive normal forms. Logical consequence.
4.Tableau method. Resolution method.
5.Boole algebra: properties, counting, ordering, atoms.
6.Predicate logic. Language, terms, formulas. Formalization.
7.Three levels of truth. Logical equivalence.
8.Interpretation. Satisfiable formulas.
9.Logical consequence. Tableau method.
10.Prenex form. Resolution method.
11.Theories and their models. Isomorphism and elementary equivalence.
12.Hilbert axiomatic system.
13.Repetition.
 Study Objective:

The goal is to learn to work in formal mathematical logic, to understand its syntax and semantics. Work with theories as axiomatic systems and derive their consequences. Know what the correctness, completeness, consistency, and decidability of theories mean, and which problems are relied to. Understand Boolean algebra as a generalization of propositional logic.
 Study materials:

1. Mendelson E. : Introduction to Mathematical Logic (6th Edition). Chapman and Hall, 2015. ISBN 9781482237726.
2. Bergmann M., Moor J., Nelson J. : The Logic Book (6th Edition). McGrawHill, 2013. ISBN 9780078038419.
 Note:
 Timetable for winter semester 2024/2025:
 Timetable is not available yet
 Timetable for summer semester 2024/2025:
 Timetable is not available yet
 The course is a part of the following study plans:

 Bachelor specialization, Computer Engineering, 2021 (elective course)
 Bachelor specialization, Information Security, 2021 (elective course)
 Bachelor specialization, Software Engineering, 2021 (elective course)
 Bachelor specialization, Computer Science, 2021 (PS)
 Bachelor specialization, Computer Networks and Internet, 2021 (VO)
 Bachelor specialization Computer Systems and Virtualization, 2021 (elective course)