CSE371


Course

CSE371

Title

Logic

Credits

3

Course Coordinator

Anita Wasilewska

Current Catalog Description

A survey of the logical foundations of mathematics: development of propositional calculus and quantification theory, the notions of a proof and of a model, the completeness theorem, Gödel’s incompleteness theorem. A survey of logics and methods for Computer Science: modal logics, intuitionistic logic, many valued logics; Hilbert and Automated proving formalizations.

This course is offered as both CSE 371 and MAT 371.

Prerequisite

CSE 150 or CSE 215 or MAT 200

Course Goals
  • Present the systems of classical propositional and predicate logic, including a full development of syntax, semantics, and proof techniques.
  • Discuss the connection between semantic and syntactic concepts, e.g., truth versus proof, by exploring the soundness and completeness of calculi for these logics.
  • Enhance the students abstract reasoning skills through experience with formal proofs.
  • Examine some non classical logics and their use in Computer Science together with basic automated proving methods and formal systems.
Textbook

Anita Wasilewska, Logic for Computer Science, Chapters 1- 15, Distributed to Students.

A Friendly Introduction to Mathematical Logic, Christopher Leary, Prentice Hall 2000

Major Topics Covered in Course
  • Syntax and Semantics for Classical and various non-classical propositional logics.
  • Two proofs of Completeness Theorem for classical propositional Logic.
  • Automated Theorem proving systems for classical, intuitioinistic amd modal S4, S5 logics.
  • Constructive Completeness Theorem proofs.
  • First Order Classical Logic; syntax and semantics.
  • Proof of Completeness Theorem.
  • Formal Theories based on first order logic; Peano Arithmetic.
  • Discussion of Godel Incompleteness and Inconsistency results.
Laboratory Projects

Not applicable since it’s a theory course.

Course Webpage

http://www.cs.sunysb.edu/~cse371