Logic

• 26 hrs lectures
• 26 hrs exercises

• 60 pts final exam (written part)
• 20 pts mid-term test (written part)
• 20 pts numeric exercises

The students will acquire the ability of understanding the principles of axiomatic mathematical theories and the ability of exact (formal) mathematical expression. They will also learn how to deduct, in a formal way, new formulas and to prove given ones. They will realize the efficiency of formal reasonong and also its limits.

The students will learn exact formal reasoning to be able to devise correct and efficient algorithms solving given problems. They will also acquire an ability to verify the correctness of given algorithms (program verification).

The aim of the course is to acquaint students with the basic methods of reasoning in mathematics. The students should learn about general principles of  predicate logic and, consequently, acquire the ability of exact mathematical reasoning and expression. They should also get familiar with some other important formal theories utilizied in informatics too.

The knowledge acquired in the bachelor's study course "Discrete Mathematics" is assumed.

• E. Mendelson, Introduction to Mathematical Logic, Chapman&Hall, 2001
• A. Nerode, R.A. Shore, Logic for Applications, Springer-Verlag 1993
• D.M. Gabbay, C.J. Hogger, J.A. Robinson, Handbook of Logic for Artificial Intellogence and Logic Programming, Oxford Univ. Press 1993
• G. Metakides, A. Nerode, Principles of logic and logic programming, Elsevier, 1996
• Melvin Fitting, First order logic and automated theorem proving, Springer, 1996
• Sally Popkorn, First steps in modal logic, Cambridge Univ. Press, 1994
• A. Sochor, Klasická matematická logika, Karolinum, 2001
• V. Švejnar, Logika, neúplnost a složitost, Academia, 2002

• E. Mendelson, Introduction to Mathematical Logic, Chapman&Hall, 2001
• A. Nerode, R.A. Shore, Logic for Applications, Springer-Verlag 1993
• D.M. Gabbay, C.J. Hogger, J.A. Robinson, Handbook of Logic for Artificial Intelligence and Logic Programming, Oxford Univ. Press 1993
• G. Metakides, A. Nerode, Principles of logic and logic programming, Elsevier, 1996
• Melvin Fitting, First order logic and automated theorem proving, Springer, 1996
• Sally Popkorn, First steps in modal logic, Cambridge Univ. Press, 1994

1. Basics of set theory and cardinal arithmetics
2. Language, formulas and semantics of propositional calculus
3. Formal theory of the propositional logic
4. Provability in propositional logic, completeness theorem
5. Language of the (first-order) predicate logic, terms and formulas
6. Semantic of predicate logics
7. Axiomatic theory of the first-order predicate logic
8. Provability in predicate logic
9. Theorems on compactness and completeness, prenex normal forms
10. First-order theories and their models
11. Undecidabilitry of first-order theories, Gödel's incompleteness theorems
12. Second-order theories (monadic logic, SkS and WSkS)
13. Some further logics (intuitionistic logic, modal and temporal logics, Presburger arithmetic)

1. Relational systems and universal algebras
2. Sets, cardinal numbers and cardinal arithmetic
3. Sentences, propositional connectives, truth tables,tautologies and contradictions
4. Independence of propositional connectives, axioms of propositional logic
5. Deduction theorem and proving formulas of propositional logic
6. Terms and formulas of predicate logics
7. Interpretation, satisfiability and truth
8. Axioms and rules of inference of predicate logic
9. Deduction theorem and proving formulas of predicate logic
10. Transforming formulas into prenex normal forms
11. First-order theories and some of their models
12. Monadic logics SkS and WSkS
13. Intuitionistic, modal and temporal logics, Presburger arithmetics

Regular attendance at exercises and passing both check tests.

A mid-term test.