Title:

Logic

Code:LOG
Ac.Year:2009/2010
Term:Winter
Study plans:
ProgramBranchYearDuty
IT-MSC-2MBI-Elective
IT-MSC-2MBS-Elective
IT-MSC-2MGM-Elective
IT-MSC-2MIN-Elective
IT-MSC-2MIS-Elective
IT-MSC-2MMI-Elective
IT-MSC-2MMM2ndCompulsory
IT-MSC-2MPV-Elective
IT-MSC-2MSK1stCompulsory-Elective - group M
Language:Czech
Credits:5
Completion:examination
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:3913000
 ExaminationTestsExercisesLaboratoriesOther
Points:60202000
Guarantee:Šlapal Josef, prof. RNDr., CSc., DADM
Lecturer:Šlapal Josef, prof. RNDr., CSc., DADM
Faculty:Faculty of Mechanical Engineering BUT
Department:Department of Algebra and Discrete Mathematics FME BUT
 
Learning objectives:
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 formal (axiomatic) theories and, consequently, acquire the ability of exact mathematical reasoning and expression. They should also get familiar with some important formal theories utilizied in informatics.
Description:
In the course, the basics of propositional and predicate logics  will systematically be taught  First, the students will get acquainted with the syntax and semantics of the two logics, then the logics will be studied as formal theories with an emphasis on formula proving. The classical theorems on compactness and completeness will alsom be dealt with. After discussing the prenex forms of formulas, some properties and models of first-order theories will be studied. We will also deal with the undecidability of first-order theories resulting from the well-known Gödel incompleteness theorems. Finally, some further important logics will be discussed which have applications in computer science.
Knowledge and skills required for the course:
The knowledge acquired in the bachelor's study course "Discrete Mathematics" is assumed.
Subject specific learning outcomes and competences:
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 of a theory and to prove given ones. They will realize the efficiency of formal reasoning and also its limits.
Generic learning outcomes and competences:
The students will learn exact formal reasoning to be able to devise a correct and efficient algorithms solving given problems. They will also acquire an ability to verify the correctness of given algorithms (program verification).
Syllabus of lectures:
  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 incompleteness theorems
  12. Second-order theories (monadic logic, SkS and WSkS)
  13. Some further logics (intuitionistic logic, modal and temporal logics, Presburger arithmetic)
Syllabus of numerical exercises:
  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
Fundamental literature:
  1. E. Mendelson, Introduction to Mathematical Logic, Chapman&Hall, 2001
  2. A. Nerode, R.A. Shore, Logic for Applications, Springer-Verlag 1993
  3. D.M. Gabbay, C.J. Hogger, J.A. Robinson, Handbook of Logic for Artificial Intellogence and Logic Programming, Oxford Univ. Press 1993
  4. G. Metakides, A. Nerode, Principles of logic and logic programming, Elsevier, 1996
  5. Melvin Fitting, First order logic and automated theorem proving, Springer, 1996
  6. Sally Popkorn, First steps in modal logic, Cambridge Univ. Press, 1994
Study literature:
  1. E. Mendelson, Introduction to Mathematical Logic, Chapman&Hall, 2001
  2. A. Nerode, R.A. Shore, Logic for Applications, Springer-Verlag 1993
  3. D.M. Gabbay, C.J. Hogger, J.A. Robinson, Handbook of Logic for Artificial Intellogence and Logic Programming, Oxford Univ. Press 1993
  4. G. Metakides, A. Nerode, Principles of logic and logic programming, Elsevier, 1996
  5. Melvin Fitting, First order logic and automated theorem proving, Springer, 1996
  6. Sally Popkorn, First steps in modal logic, Cambridge Univ. Press, 1994
  7. A. Sochor, Klasická matematická logika, Karolinum, 2001
  8. V. Švejnar, Logika, neúplnost a složitost, Academia, 2002
Progress assessment:
A mid-term text.