Logic and Proofs. Chapter 1
|
|
- Sharleen Greer
- 7 years ago
- Views:
Transcription
1 Section Chapter 1 Logic and Proofs 1.1 Propositional Logic 1.2 Propositional Equivalences 1.3 Predicates and Quantifiers 1.4 Nested Quantifiers 1.5 Rules of Inference 1.6 Introduction to Proofs 1.7 Proof Methods and Strategy
2 Section 1.1 Propositional Logic PROPOSITIONAL LOGIC PROPOSITIONS
3 1.1.2 Chapter 1 Logic and Proofs
4 Section 1.1 Propositional Logic TRUTH TABLES
5 1.1.4 Chapter 1 Logic and Proofs
6 Section 1.1 Propositional Logic 1.1.5
7 1.1.6 Chapter 1 Logic and Proofs
8 Section 1.1 Propositional Logic CONDITIONAL OPERATOR
9 1.1.8 Chapter 1 Logic and Proofs
10 Section 1.1 Propositional Logic COMPOUND PROPOSITIONAL FORMS
11 Chapter 1 Logic and Proofs
12 Section 1.1 Propositional Logic
13 Section 1.2 Logical Equivalences LOGICAL EQUIVALENCES
14 1.2.2 Chapter 1 Logic and Proofs CONTRAPOSITIVE, etc.
15 Section 1.2 Logical Equivalences 1.2.3
16 1.2.4 Chapter 1 Logic and Proofs CATEGORIES of PROPOSITIONAL FORMS
17 Section 1.2 Logical Equivalences LAWS of LOGIC AVOIDING BOREDOM
18 Section 1.3 Predicates & Quantifiers PREDICATES & QUANTIFIERS
19 1.3.2 Chapter 1 Logic and Proofs VARYING THE DOMAIN
20 Section 1.3 Predicates & Quantifiers CLASSROOM EXERCISE
21 1.3.4 Chapter 1 Logic and Proofs SCOPE of QUANTIFIERS
22 Section 1.3 Predicates & Quantifiers NEGATION with QUANTIFIERS CLASSROOM EXERCISE
23 Section 1.4 Nested Quantifiers NESTED QUANTIFIERS TRANSPOSING QUANTIFIERS
24 1.4.2 Chapter 1 Logic and Proofs RECALL NEGATION with QUANTIFIERS CLASSROOM EXERCISE
25 Section 1.4 Nested Quantifiers OPTIONAL CLASSROOM EXERCISE
26 Section 1.5 Rules of Inference RULES OF INFERENCE
27 1.5.2 Chapter 1 Logic and Proofs VALID ARGUMENTS
28 Section 1.5 Rules of Inference 1.5.3
29 1.5.4 Chapter 1 Logic and Proofs FALLACIES
30 Section 1.5 Rules of Inference NOTORIOUS FALLACIES
31 1.5.6 Chapter 1 Logic and Proofs VALIDITY and TRUTH LOGICAL RULES of INFERENCE
32 Section 1.5 Rules of Inference 1.5.7
33 1.5.8 Chapter 1 Logic and Proofs MATHEMATICAL PROOFS (DIRECT)
34 Section 1.5 Rules of Inference MATHEMATICAL PROOFS (INDIRECT)
35 Chapter 1 Logic and Proofs TERMINOLOGY
36 Section 1.6 Introduction to Proofs INTRODUCTION TO PROOFS TWO FAMOUS PROBLEMS
37 Section 1.7 Proof Strategy PROOF STRATEGY FORWARD AND BACKWARD REASONING
38 1.7.2 Chapter 1 Logic and Proofs MATHEMATICAL PROOFS (by CASES)
39 Section 1.7 Proof Strategy PROVING QUANTIFIED ASSERTIONS
40 Section 1.9 Logic Supplement LOGIC SUPPLEMENT PROPOSITIONS
41 1.9.2 Chapter 1 Logic and Proofs TIME OUT to discuss OBSCENITY
42 Section 1.9 Logic Supplement 1.9.3
def: An axiom is a statement that is assumed to be true, or in the case of a mathematical system, is used to specify the system.
Section 1.5 Methods of Proof 1.5.1 1.5 METHODS OF PROOF Some forms of argument ( valid ) never lead from correct statements to an incorrect. Some other forms of argument ( fallacies ) can lead from true
More informationHandout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
More informationLecture 13 of 41. More Propositional and Predicate Logic
Lecture 13 of 41 More Propositional and Predicate Logic Monday, 20 September 2004 William H. Hsu, KSU http://www.kddresearch.org http://www.cis.ksu.edu/~bhsu Reading: Sections 8.1-8.3, Russell and Norvig
More informationCHAPTER 3. Methods of Proofs. 1. Logical Arguments and Formal Proofs
CHAPTER 3 Methods of Proofs 1. Logical Arguments and Formal Proofs 1.1. Basic Terminology. An axiom is a statement that is given to be true. A rule of inference is a logical rule that is used to deduce
More informationPredicate Logic. Example: All men are mortal. Socrates is a man. Socrates is mortal.
Predicate Logic Example: All men are mortal. Socrates is a man. Socrates is mortal. Note: We need logic laws that work for statements involving quantities like some and all. In English, the predicate is
More informationDISCRETE MATH: LECTURE 3
DISCRETE MATH: LECTURE 3 DR. DANIEL FREEMAN 1. Chapter 2.2 Conditional Statements If p and q are statement variables, the conditional of q by p is If p then q or p implies q and is denoted p q. It is false
More informationDiscrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2
CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2 Proofs Intuitively, the concept of proof should already be familiar We all like to assert things, and few of us
More informationPredicate logic Proofs Artificial intelligence. Predicate logic. SET07106 Mathematics for Software Engineering
Predicate logic SET07106 Mathematics for Software Engineering School of Computing Edinburgh Napier University Module Leader: Uta Priss 2010 Copyright Edinburgh Napier University Predicate logic Slide 1/24
More information3. Mathematical Induction
3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)
More informationCosmological Arguments for the Existence of God S. Clarke
Cosmological Arguments for the Existence of God S. Clarke [Modified Fall 2009] 1. Large class of arguments. Sometimes they get very complex, as in Clarke s argument, but the basic idea is simple. Lets
More information3. Logical Reasoning in Mathematics
3. Logical Reasoning in Mathematics Many state standards emphasize the importance of reasoning. We agree disciplined mathematical reasoning is crucial to understanding and to properly using mathematics.
More informationIntroduction to Symbolic Logic Vaishali Khandekar, PhD Course Description: PREREQUISITE(S): CO-REQUISITE(S): FREQUENT REQUISITES
Introduction to Symbolic Logic PHIL 2303-77400 Fall 2013 (3 Credit Hours) HCC Northwest College Tuesday, Thursday 11:00 AM 12:30 PM Instructor: Vaishali Khandekar, PhD Katy Campus, Room 347 Vaishali.khandekar@hccs.edu
More informationCHAPTER 2. Logic. 1. Logic Definitions. Notation: Variables are used to represent propositions. The most common variables used are p, q, and r.
CHAPTER 2 Logic 1. Logic Definitions 1.1. Propositions. Definition 1.1.1. A proposition is a declarative sentence that is either true (denoted either T or 1) or false (denoted either F or 0). Notation:
More informationPHILOSOPHY 101: CRITICAL THINKING
PHILOSOPHY 101: CRITICAL THINKING [days and times] [classroom] [semester] 20YY, [campus] [instructor s name] [office hours: days and times] [instructor s e-mail] COURSE OBJECTIVES AND OUTCOMES 1. Identify
More informationPropositional Logic. A proposition is a declarative sentence (a sentence that declares a fact) that is either true or false, but not both.
irst Order Logic Propositional Logic A proposition is a declarative sentence (a sentence that declares a fact) that is either true or false, but not both. Are the following sentences propositions? oronto
More informationLecture 17 : Equivalence and Order Relations DRAFT
CS/Math 240: Introduction to Discrete Mathematics 3/31/2011 Lecture 17 : Equivalence and Order Relations Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT Last lecture we introduced the notion
More informationInvalidity in Predicate Logic
Invalidity in Predicate Logic So far we ve got a method for establishing that a predicate logic argument is valid: do a derivation. But we ve got no method for establishing invalidity. In propositional
More informationRules of Inference Friday, January 18, 2013 Chittu Tripathy Lecture 05
Rules of Inference Today s Menu Rules of Inference Quantifiers: Universal and Existential Nesting of Quantifiers Applications Old Example Re-Revisited Our Old Example: Suppose we have: All human beings
More informationML for the Working Programmer
ML for the Working Programmer 2nd edition Lawrence C. Paulson University of Cambridge CAMBRIDGE UNIVERSITY PRESS CONTENTS Preface to the Second Edition Preface xiii xv 1 Standard ML 1 Functional Programming
More informationLogic Appendix. Section 1 Truth Tables CONJUNCTION EXAMPLE 1
Logic Appendix T F F T Section 1 Truth Tables Recall that a statement is a group of words or symbols that can be classified collectively as true or false. The claim 5 7 12 is a true statement, whereas
More informationMathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson
Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement
More informationLecture 16 : Relations and Functions DRAFT
CS/Math 240: Introduction to Discrete Mathematics 3/29/2011 Lecture 16 : Relations and Functions Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT In Lecture 3, we described a correspondence
More informationJOHN STUART MILL. John Skorupski. m London and New York
JOHN STUART MILL John Skorupski m London and New York Contents Preface Abbreviations xi xv 1 THE MILLIAN PHILOSOPHY 1 1 Philosophy and its past 1 2 Logic and metaphysics 5 3 Ethics and politics 12 4 The
More informationp: I am elected q: I will lower the taxes
Implication Conditional Statement p q (p implies q) (if p then q) is the proposition that is false when p is true and q is false and true otherwise. Equivalent to not p or q Ex. If I am elected then I
More informationROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences
! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-200 Discrete Mathematics and Introduction to Proofs 1.0 Course designations
More informationBasic Proof Techniques
Basic Proof Techniques David Ferry dsf43@truman.edu September 13, 010 1 Four Fundamental Proof Techniques When one wishes to prove the statement P Q there are four fundamental approaches. This document
More informationLecture Notes in Discrete Mathematics. Marcel B. Finan Arkansas Tech University c All Rights Reserved
Lecture Notes in Discrete Mathematics Marcel B. Finan Arkansas Tech University c All Rights Reserved 2 Preface This book is designed for a one semester course in discrete mathematics for sophomore or junior
More informationSolutions to Homework 6 Mathematics 503 Foundations of Mathematics Spring 2014
Solutions to Homework 6 Mathematics 503 Foundations of Mathematics Spring 2014 3.4: 1. If m is any integer, then m(m + 1) = m 2 + m is the product of m and its successor. That it to say, m 2 + m is the
More informationPredicate Logic. For example, consider the following argument:
Predicate Logic The analysis of compound statements covers key aspects of human reasoning but does not capture many important, and common, instances of reasoning that are also logically valid. For example,
More informationPhilosophy 210: Logic and Critical Thinking (Spring 2015) Syllabus This syllabus is subject to change.
Philosophy 210: Logic and Critical Thinking (Spring 2015) Syllabus This syllabus is subject to change. Professor: Dr. Rachel Fredericks I prefer to be called Rachel, but you may call me Professor or Doctor
More informationWOLLONGONG COLLEGE AUSTRALIA. Diploma in Information Technology
First Name: Family Name: Student Number: Class/Tutorial: WOLLONGONG COLLEGE AUSTRALIA A College of the University of Wollongong Diploma in Information Technology Mid-Session Test Summer Session 008-00
More informationMathematics Cognitive Domains Framework: TIMSS 2003 Developmental Project Fourth and Eighth Grades
Appendix A Mathematics Cognitive Domains Framework: TIMSS 2003 Developmental Project Fourth and Eighth Grades To respond correctly to TIMSS test items, students need to be familiar with the mathematics
More informationBeyond Propositional Logic Lukasiewicz s System
Beyond Propositional Logic Lukasiewicz s System Consider the following set of truth tables: 1 0 0 1 # # 1 0 # 1 1 0 # 0 0 0 0 # # 0 # 1 0 # 1 1 1 1 0 1 0 # # 1 # # 1 0 # 1 1 0 # 0 1 1 1 # 1 # 1 Brandon
More informationWOLLONGONG COLLEGE AUSTRALIA. Diploma in Information Technology
First Name: Family Name: Student Number: Class/Tutorial: WOLLONGONG COLLEGE AUSTRALIA A College of the University of Wollongong Diploma in Information Technology Final Examination Spring Session 2008 WUCT121
More informationINTRODUCTORY SET THEORY
M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,
More informationThe last three chapters introduced three major proof techniques: direct,
CHAPTER 7 Proving Non-Conditional Statements The last three chapters introduced three major proof techniques: direct, contrapositive and contradiction. These three techniques are used to prove statements
More informationLAKE ELSINORE UNIFIED SCHOOL DISTRICT
LAKE ELSINORE UNIFIED SCHOOL DISTRICT Title: PLATO Algebra 1-Semester 2 Grade Level: 10-12 Department: Mathematics Credit: 5 Prerequisite: Letter grade of F and/or N/C in Algebra 1, Semester 2 Course Description:
More informationElementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.
Elementary Number Theory and Methods of Proof CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 1 Number theory Properties: 2 Properties of integers (whole
More informationCourse Syllabus For Operations Management. Management Information Systems
For Operations Management and Management Information Systems Department School Year First Year First Year First Year Second year Second year Second year Third year Third year Third year Third year Third
More informationIndiana State Core Curriculum Standards updated 2009 Algebra I
Indiana State Core Curriculum Standards updated 2009 Algebra I Strand Description Boardworks High School Algebra presentations Operations With Real Numbers Linear Equations and A1.1 Students simplify and
More informationMathematics Georgia Performance Standards
Mathematics Georgia Performance Standards K-12 Mathematics Introduction The Georgia Mathematics Curriculum focuses on actively engaging the students in the development of mathematical understanding by
More informationMath 3000 Section 003 Intro to Abstract Math Homework 2
Math 3000 Section 003 Intro to Abstract Math Homework 2 Department of Mathematical and Statistical Sciences University of Colorado Denver, Spring 2012 Solutions (February 13, 2012) Please note that these
More informationTeaching Formal Methods for Computational Linguistics at Uppsala University
Teaching Formal Methods for Computational Linguistics at Uppsala University Roussanka Loukanova Computational Linguistics Dept. of Linguistics and Philology, Uppsala University P.O. Box 635, 751 26 Uppsala,
More information1 Propositions. mcs-ftl 2010/9/8 0:40 page 5 #11. Definition. A proposition is a statement that is either true or false.
mcs-ftl 2010/9/8 0:40 page 5 #11 1 Propositions Definition. A proposition is a statement that is either true or false. For example, both of the following statements are propositions. The first is true
More informationPractice with Proofs
Practice with Proofs October 6, 2014 Recall the following Definition 0.1. A function f is increasing if for every x, y in the domain of f, x < y = f(x) < f(y) 1. Prove that h(x) = x 3 is increasing, using
More informationDEDUCTIVE & INDUCTIVE REASONING
DEDUCTIVE & INDUCTIVE REASONING Expectations 1. Take notes on inductive and deductive reasoning. 2. This is an information based presentation -- I simply want you to be able to apply this information to
More informationChapter 1. Use the following to answer questions 1-5: In the questions below determine whether the proposition is TRUE or FALSE
Use the following to answer questions 1-5: Chapter 1 In the questions below determine whether the proposition is TRUE or FALSE 1. 1 + 1 = 3 if and only if 2 + 2 = 3. 2. If it is raining, then it is raining.
More informationLikewise, we have contradictions: formulas that can only be false, e.g. (p p).
CHAPTER 4. STATEMENT LOGIC 59 The rightmost column of this truth table contains instances of T and instances of F. Notice that there are no degrees of contingency. If both values are possible, the formula
More informationHypothetical Syllogisms 1
Phil 2302 Intro to Logic Dr. Naugle Hypothetical Syllogisms 1 Compound syllogisms are composed of different kinds of sentences in their premises and conclusions (not just categorical propositions, statements
More information2. The Language of First-order Logic
2. The Language of First-order Logic KR & R Brachman & Levesque 2005 17 Declarative language Before building system before there can be learning, reasoning, planning, explanation... need to be able to
More informationPredicate Logic Review
Predicate Logic Review UC Berkeley, Philosophy 142, Spring 2016 John MacFarlane 1 Grammar A term is an individual constant or a variable. An individual constant is a lowercase letter from the beginning
More informationUndergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
More informationCorrespondence analysis for strong three-valued logic
Correspondence analysis for strong three-valued logic A. Tamminga abstract. I apply Kooi and Tamminga s (2012) idea of correspondence analysis for many-valued logics to strong three-valued logic (K 3 ).
More informationFormal Engineering for Industrial Software Development
Shaoying Liu Formal Engineering for Industrial Software Development Using the SOFL Method With 90 Figures and 30 Tables Springer Contents Introduction 1 1.1 Software Life Cycle... 2 1.2 The Problem 4 1.3
More informationHow To Understand The Theory Of Hyperreals
Ultraproducts and Applications I Brent Cody Virginia Commonwealth University September 2, 2013 Outline Background of the Hyperreals Filters and Ultrafilters Construction of the Hyperreals The Transfer
More informationRegular Languages and Finite State Machines
Regular Languages and Finite State Machines Plan for the Day: Mathematical preliminaries - some review One application formal definition of finite automata Examples 1 Sets A set is an unordered collection
More information1.2 Solving a System of Linear Equations
1.. SOLVING A SYSTEM OF LINEAR EQUATIONS 1. Solving a System of Linear Equations 1..1 Simple Systems - Basic De nitions As noticed above, the general form of a linear system of m equations in n variables
More informationFormalization of the CRM: Initial Thoughts
Formalization of the CRM: Initial Thoughts Carlo Meghini Istituto di Scienza e Tecnologie della Informazione Consiglio Nazionale delle Ricerche Pisa CRM SIG Meeting Iraklio, October 1st, 2014 Outline Overture:
More informationRigorous Software Development CSCI-GA 3033-009
Rigorous Software Development CSCI-GA 3033-009 Instructor: Thomas Wies Spring 2013 Lecture 11 Semantics of Programming Languages Denotational Semantics Meaning of a program is defined as the mathematical
More informationCHAPTER 7 GENERAL PROOF SYSTEMS
CHAPTER 7 GENERAL PROOF SYSTEMS 1 Introduction Proof systems are built to prove statements. They can be thought as an inference machine with special statements, called provable statements, or sometimes
More information(LMCS, p. 317) V.1. First Order Logic. This is the most powerful, most expressive logic that we will examine.
(LMCS, p. 317) V.1 First Order Logic This is the most powerful, most expressive logic that we will examine. Our version of first-order logic will use the following symbols: variables connectives (,,,,
More informationQuine on truth by convention
Quine on truth by convention March 8, 2005 1 Linguistic explanations of necessity and the a priori.............. 1 2 Relative and absolute truth by definition.................... 2 3 Is logic true by convention?...........................
More informationLogic and Reasoning Practice Final Exam Spring 2015. Section Number
Logic and Reasoning Practice Final Exam Spring 2015 Name Section Number The final examination is worth 100 points. 1. (5 points) What is an argument? Explain what is meant when one says that logic is the
More informationProbability Using Dice
Using Dice One Page Overview By Robert B. Brown, The Ohio State University Topics: Levels:, Statistics Grades 5 8 Problem: What are the probabilities of rolling various sums with two dice? How can you
More informationCS510 Software Engineering
CS510 Software Engineering Propositional Logic Asst. Prof. Mathias Payer Department of Computer Science Purdue University TA: Scott A. Carr Slides inspired by Xiangyu Zhang http://nebelwelt.net/teaching/15-cs510-se
More informationConstructing Contracts: Making Discrete Mathematics Relevant to Beginning Programmers
Constructing Contracts: Making Discrete Mathematics Relevant to Beginning Programmers TIMOTHY S. GEGG-HARRISON Winona State University Although computer scientists understand the importance of discrete
More informationWHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT?
WHAT ARE MATHEMATICAL PROOFS AND WHY THEY ARE IMPORTANT? introduction Many students seem to have trouble with the notion of a mathematical proof. People that come to a course like Math 216, who certainly
More information8. Inductive Arguments
8. Inductive Arguments 1 Inductive Reasoning In general, inductive reasoning is reasoning in which we extrapolate from observed experience (e.g., past experience) to some conclusion (e.g., about present
More informationA FIRST COURSE IN OPTIMIZATION THEORY
A FIRST COURSE IN OPTIMIZATION THEORY RANGARAJAN K. SUNDARAM New York University CAMBRIDGE UNIVERSITY PRESS Contents Preface Acknowledgements page xiii xvii 1 Mathematical Preliminaries 1 1.1 Notation
More informationG C.3 Construct the inscribed and circumscribed circles of a triangle, and prove properties of angles for a quadrilateral inscribed in a circle.
Performance Assessment Task Circle and Squares Grade 10 This task challenges a student to analyze characteristics of 2 dimensional shapes to develop mathematical arguments about geometric relationships.
More informationPhilosophy 120: Introductory Logic Summer 2007
Class: Date: Philosophy 120: Introductory Logic Summer 2007 Multiple Choice Identify the letter of the choice that best completes the statement or answers the question. INSTRUCTIONS: The following selections
More informationIntroduction to formal semantics -
Introduction to formal semantics - Introduction to formal semantics 1 / 25 structure Motivation - Philosophy paradox antinomy division in object und Meta language Semiotics syntax semantics Pragmatics
More informationCOURSE DESCRIPTION FOR THE COMPUTER INFORMATION SYSTEMS CURRICULUM
COURSE DESCRIPTION FOR THE COMPUTER INFORMATION SYSTEMS CURRICULUM Course Code 2505100 Computing Fundamentals Pass/ Fail Prerequisite None This course includes an introduction to the use of the computer
More informationCHAPTER 2: METHODS OF PROOF
CHAPTER 2: METHODS OF PROOF Section 2.1: BASIC PROOFS WITH QUANTIFIERS Existence Proofs Our first goal is to prove a statement of the form ( x) P (x). There are two types of existence proofs: Constructive
More information4.1. Title: data analysis (systems analysis). 4.2. Annotation of educational discipline: educational discipline includes in itself the mastery of the
4.1. Title: data analysis (systems analysis). 4.4. Term of study: 7th semester. 4.1. Title: data analysis (applied mathematics). 4.4. Term of study: 6th semester. 4.1. Title: data analysis (computer science).
More informationLecture 9 Maher on Inductive Probability
Lecture 9 Maher on Inductive Probability Patrick Maher Scientific Thought II Spring 2010 Two concepts of probability Example You know that a coin is either two-headed or two-tailed but you have no information
More informationStudent Learning Outcome - The 15 Best Based Performance Criteria
College of Liberal Arts & Sciences Department of Philosophy Philosophy M.A. August 16, 2014 David J. Buller, Chair Status Report 1 1. INTRODUCTION The Philosophy M.A. assessment plan submitted along with
More informationWe would like to state the following system of natural deduction rules preserving falsity:
A Natural Deduction System Preserving Falsity 1 Wagner de Campos Sanz Dept. of Philosophy/UFG/Brazil sanz@fchf.ufg.br Abstract This paper presents a natural deduction system preserving falsity. This new
More informationINCIDENCE-BETWEENNESS GEOMETRY
INCIDENCE-BETWEENNESS GEOMETRY MATH 410, CSUSM. SPRING 2008. PROFESSOR AITKEN This document covers the geometry that can be developed with just the axioms related to incidence and betweenness. The full
More informationOrganizing an essay the basics 2. Cause and effect essay (shorter version) 3. Compare/contrast essay (shorter version) 4
Organizing an essay the basics 2 Cause and effect essay (shorter version) 3 Compare/contrast essay (shorter version) 4 Exemplification (one version) 5 Argumentation (shorter version) 6-7 Support Go from
More informationON FUNCTIONAL SYMBOL-FREE LOGIC PROGRAMS
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Mathematical Sciences 2012 1 p. 43 48 ON FUNCTIONAL SYMBOL-FREE LOGIC PROGRAMS I nf or m at i cs L. A. HAYKAZYAN * Chair of Programming and Information
More informationWriting a Course Paper. Capella University 225 South 6th Street, 9th Floor Minneapolis, MN 55402 1-888-CAPELLA (227-3552)
Writing a Course Paper Capella University 225 South 6th Street, 9th Floor Minneapolis, MN 55402 1-888-CAPELLA (227-3552) Table of Contents Creating Major Sections... 3 Writing Fundamentals... 7 Expressing
More informationMathematical Induction
Mathematical Induction (Handout March 8, 01) The Principle of Mathematical Induction provides a means to prove infinitely many statements all at once The principle is logical rather than strictly mathematical,
More informationAlgorithmic Software Verification
Algorithmic Software Verification (LTL Model Checking) Azadeh Farzan What is Verification Anyway? Proving (in a formal way) that program satisfies a specification written in a logical language. Formal
More informationLehrstuhl für Informatik 2
Analytical Learning Introduction Lehrstuhl Explanation is used to distinguish the relevant features of the training examples from the irrelevant ones, so that the examples can be generalised Introduction
More informationEFFICIENT KNOWLEDGE BASE MANAGEMENT IN DCSP
EFFICIENT KNOWLEDGE BASE MANAGEMENT IN DCSP Hong Jiang Mathematics & Computer Science Department, Benedict College, USA jiangh@benedict.edu ABSTRACT DCSP (Distributed Constraint Satisfaction Problem) has
More informationKEANSBURG SCHOOL DISTRICT KEANSBURG HIGH SCHOOL Mathematics Department. HSPA 10 Curriculum. September 2007
KEANSBURG HIGH SCHOOL Mathematics Department HSPA 10 Curriculum September 2007 Written by: Karen Egan Mathematics Supervisor: Ann Gagliardi 7 days Sample and Display Data (Chapter 1 pp. 4-47) Surveys and
More information(Advanced Preparation)
1 NCTM CAEP Standards (2012) Elementary Mathematics Specialist (Advanced Preparation) Standard 1: Content Knowledge Effective elementary mathematics specialists demonstrate and apply knowledge of major
More informationGouvernement du Québec Ministère de l Éducation, 2004 04-00808 ISBN 2-550-43538-9
Gouvernement du Québec Ministère de l Éducation, 2004 04-00808 ISBN 2-550-43538-9 Legal deposit Bibliothèque nationale du Québec, 2004 1. INTRODUCTION This Definition of the Domain for Summative Evaluation
More informationSoftware Modeling and Verification
Software Modeling and Verification Alessandro Aldini DiSBeF - Sezione STI University of Urbino Carlo Bo Italy 3-4 February 2015 Algorithmic verification Correctness problem Is the software/hardware system
More informationChair of Software Engineering. Software Verification. Assertion Inference. Carlo A. Furia
Chair of Software Engineering Software Verification Assertion Inference Carlo A. Furia Proving Programs Automatically The Program Verification problem: Given: a program P and a specification S = [Pre,
More informationPhilosophy 3: Critical Thinking University of California, Santa Barbara Fall 2011
Philosophy 3: Critical Thinking University of California, Santa Barbara Fall 2011 General Information Lecture Time: MWF 8-8:50 AM Location: BUCHN 1910 Course Webpage: www.albert-shin.com/teaching/phil3.html
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationHow To Decide A Case In The Uk
1 THE COURT: You have been selected and sworn to determine the facts and render a verdict in the case of the Commonwealth / 1 of Pennsylvania versus Robert Greene, who is charged with one count of robbery,
More informationDIRECT AND CIRCUMSTANTIAL EVIDENCE. There are two types of evidence which you may use to determine the
Page 1 Instruction 2.240 There are two types of evidence which you may use to determine the facts of a case: direct evidence and circumstantial evidence. You have direct evidence where a witness testifies
More informationMath 223 Abstract Algebra Lecture Notes
Math 223 Abstract Algebra Lecture Notes Steven Tschantz Spring 2001 (Apr. 23 version) Preamble These notes are intended to supplement the lectures and make up for the lack of a textbook for the course
More informationCS Master Level Courses and Areas COURSE DESCRIPTIONS. CSCI 521 Real-Time Systems. CSCI 522 High Performance Computing
CS Master Level Courses and Areas The graduate courses offered may change over time, in response to new developments in computer science and the interests of faculty and students; the list of graduate
More informationHow To Know If A Domain Is Unique In An Octempo (Euclidean) Or Not (Ecl)
Subsets of Euclidean domains possessing a unique division algorithm Andrew D. Lewis 2009/03/16 Abstract Subsets of a Euclidean domain are characterised with the following objectives: (1) ensuring uniqueness
More informationChapter 3. Cartesian Products and Relations. 3.1 Cartesian Products
Chapter 3 Cartesian Products and Relations The material in this chapter is the first real encounter with abstraction. Relations are very general thing they are a special type of subset. After introducing
More informationCourse Syllabus Introduction to Logic PHILOSOPHY 2303-304 (M 7:05-9:45 p.m.) G-241 (Revised Spring 2012)
Blinn College Bryan Campus Course Syllabus Introduction to Logic PHILOSOPHY 2303-304 (M 7:05-9:45 p.m.) G-241 (Revised Spring 2012) Ms. Ann Voelkel Office: A246 (Bryan Campus) Office Phone #: 979-209-7357
More information