COMP Intro to Logic for Computer Scientists. Lecture 13

Size: px
Start display at page:

Download "COMP Intro to Logic for Computer Scientists. Lecture 13"

Transcription

1 COMP 1002 Intro to Logic for Computer Scientists Lecture 13 B 5 2 J

2 Admin stuff Assignments schedule? Split a2 and a3 in two (A2,3,4,5), 5% each. A2 due Feb 17 th. Midterm date? March 2 nd. No office hour on Feb 9 th

3 Puzzle 11 Let SS = xx N xx iiii eeeeeeee} xx N xx iiii oooooo} Prove or disprove: xx SS, xx dddddddd nnnnnn dddddddddddd xx 2

4 Puzzle 11 Let SS = xx N xx iiii eeeeeeee} xx N xx iiii oooooo} S = Prove or disprove: xx SS, xx dddddddd nnnnnn dddddddddddd xx 2 Let P(x)= xx dddddddd nnnnnn dddddddddddd xx 2 To disprove, can give a counterexample Find an element in S such that P(x) is true But there is no such element in S, because there are no elements in S at all! To prove, enough to check that it holds for all elements of S. There is none, so it does hold for every element in S. Another way: Since S is defined as a subset of natural numbers, can read xx SS PP xx as xx N xx SS PP xx. Since xx SSS is always false, xx SS PP xx is true for every xx N Call a statement xx PP xx vacuously true.

5 Universal Modus Ponens All men are mortal Socrates is a man Therefore, Socrates is mortal All cats like fish Molly likes fish Therefore, Molly is a cat

6 Universal Modus Ponens xx, PP xx QQ xx PP aa QQ aa Q P All men are mortal ( xx, MMMMMM xx MMMMMMMMMMMM xx ) Socrates is a man (MMMMMM SSSSSSSSSSSSSSSS ) Therefore, Socrates is mortal (MMMMMMMMMMMM(SSSSSSSSSSSSSSSS) All numbers are either odd or even 2 is a number Therefore, 2 is either odd or even. Mortals Men All trees drop leaves Pine does not drop leaves Therefore, pine is not a tree

7 Universal Modus Ponens All men are mortal Socrates is a man Therefore, Socrates is mortal Mortal Men All cats like fish Molly likes fish Therefore, Molly is a cat Like fish cats

8 Instantiation/generalization In general, if xx SS FF xx is true for some formula FF xx, if you take any specific element aa SS, then FF aa must be true. This is called the universal instantiation rule. xx N xx > 1 5 > 1 If you prove FF aa without any assumptions about aa other than aa SS, then xx SS, FF xx This is called universal generalization.

9 Instantiation/generalization If you can find an element aa SS such that FF aa, then xx SS, FF xx This is called existential generalization. Alternatively, if xx SS FF xx is true, then you can give that element of SS for which FF xx is true a name, as long as that name has not been used elsewhere. This is called the existential instantiation rule. xx N xx 5 = 0 kk = 0 + 5

10 Existential instantiation If xx SS FF xx is true, then you can give that element of SS for which FF xx is true a name, as long as that name has not been used elsewhere. Let n be an even number. Then n=2k for some k. xx N EEEEEEEE xx yy N xx = 2 yy Important to have a new name! Let n and m be two even numbers. Then n=2k and m=2k is wrong! xx 1, xx 2 N EEEEEEEE xx 1 EEEEEEEE xx 2 yy 1, yy 2 N xx 1 = 2 yy 1 xx 2 = 2 yy 2 Let n and m be two even numbers. Then n=2k and m=2l

11 Other inference rules Combining universal instantiation with tautologies, get other types of arguments: pp qq q rr pp rr xx PP xx QQ xx xx QQ xx RR xx xx PP xx RR xx For any x, if xx > 3, then xx > 2 For any x, if xx > 2, then xx 1 For any x, if xx > 3, then xx 1 (This particular rule is called transitivity )

12 Types of proofs Direct proof of xx FF xx Show that FF xx holds for arbitrary x, then use universal generalization. Often, FF xx is of the form GG xx HH(xx) Example: A sum of two even numbers is even. Proof by cases If can write xx FF xx as xx(gg 1 xx GG 2 xx GG kk xx ) HH(xx), prove GG 1 xx HH xx (GG 2 xx HH xx ) (GG kk xx HH(xx)) Example: triangle inequality ( xx + yy xx + yy ) Proof by contraposition To prove xx GG xx HH(xx), prove xx HH xx GG(xx) Example: If square of an integer is even, then this integer is even. Proof by contradiction To prove xx FF xx, prove xx FF xx FFFFFFFFFF Example: 2 is not a rational number. Example: There are infinitely many primes.

13 Puzzle: better than nothing Nothing is better than eternal bliss A burger is better than nothing Therefore, a burger is better than eternal bliss. Is there anything wrong with this argument?

Pre-Kindergarten 2017 Summer Packet. Robert F Woodall Elementary

Pre-Kindergarten 2017 Summer Packet. Robert F Woodall Elementary Pre-Kindergarten 2017 Summer Packet Robert F Woodall Elementary In the fall, on your child s testing day, please bring this packet back for a special reward that will be awarded to your child for completion

More information

Tie Breaking Procedure

Tie Breaking Procedure Ohio Youth Basketball Tie Breaking Procedure The higher seeded team when two teams have the same record after completion of pool play will be determined by the winner of their head to head competition.

More information

Full Name: Period: Heredity EOC Review

Full Name: Period: Heredity EOC Review Full Name: Period: 1 4 5 6 7 Heredity EOC Review Directions: For each genotype below, indicate whether it is a heterozygous (write: He) OR homozygous (write: Ho). 1. Tt BB DD ff tt dd dd Ff TT Bb bb FF

More information

Conservation of Energy. Chapter 7 of Essential University Physics, Richard Wolfson, 3 rd Edition

Conservation of Energy. Chapter 7 of Essential University Physics, Richard Wolfson, 3 rd Edition Conservation of Energy Chapter 7 of Essential University Physics, Richard Wolfson, 3 rd Edition 1 Different Types of Force, regarding the Work they do. gravity friction 2 Conservative Forces BB WW cccccccc

More information

Decision Trees. Nicholas Ruozzi University of Texas at Dallas. Based on the slides of Vibhav Gogate and David Sontag

Decision Trees. Nicholas Ruozzi University of Texas at Dallas. Based on the slides of Vibhav Gogate and David Sontag Decision Trees Nicholas Ruozzi University of Texas at Dallas Based on the slides of Vibhav Gogate and David Sontag Announcements Course TA: Hao Xiong Office hours: Friday 2pm-4pm in ECSS2.104A1 First homework

More information

Lecture 1.4: Rules of Inference. CS 250, Discrete Structures, Fall Nitesh Saxena. Adopted from previous lectures by Cinda Heeren

Lecture 1.4: Rules of Inference. CS 250, Discrete Structures, Fall Nitesh Saxena. Adopted from previous lectures by Cinda Heeren Lecture 1.4: Rules of CS 250, Discrete Structures, Fall 2015 Nitesh Saxena Adopted from previous lectures by Cinda Heeren Course Admin Slides from previous lectures all posted Expect HW1 to be coming in

More information

Simplifying Radical Expressions and the Distance Formula

Simplifying Radical Expressions and the Distance Formula 1 RD. Simplifying Radical Expressions and the Distance Formula In the previous section, we simplified some radical expressions by replacing radical signs with rational exponents, applying the rules of

More information

Operations on Radical Expressions; Rationalization of Denominators

Operations on Radical Expressions; Rationalization of Denominators 0 RD. 1 2 2 2 2 2 2 2 Operations on Radical Expressions; Rationalization of Denominators Unlike operations on fractions or decimals, sums and differences of many radicals cannot be simplified. For instance,

More information

Coaches, Parents, Players and Fans

Coaches, Parents, Players and Fans P.O. Box 865 * Lancaster, OH 43130 * 740-808-0380 * www.ohioyouthbasketball.com Coaches, Parents, Players and Fans Sunday s Championship Tournament in Boys Grades 5th thru 10/11th will be conducted in

More information

ISyE 6414 Regression Analysis

ISyE 6414 Regression Analysis ISyE 6414 Regression Analysis Lecture 2: More Simple linear Regression: R-squared (coefficient of variation/determination) Correlation analysis: Pearson s correlation Spearman s rank correlation Variable

More information

Lecture 5. Optimisation. Regularisation

Lecture 5. Optimisation. Regularisation Lecture 5. Optimisation. Regularisation COMP90051 Statistical Machine Learning Semester 2, 2017 Lecturer: Andrey Kan Copyright: University of Melbourne Iterative optimisation Loss functions Coordinate

More information

Functions of Random Variables & Expectation, Mean and Variance

Functions of Random Variables & Expectation, Mean and Variance Functions of Random Variables & Expectation, Mean and Variance Kuan-Yu Chen ( 陳冠宇 ) @ TR-409, NTUST Functions of Random Variables 1 Given a random variables XX, one may generate other random variables

More information

ECO 745: Theory of International Economics. Jack Rossbach Fall Lecture 6

ECO 745: Theory of International Economics. Jack Rossbach Fall Lecture 6 ECO 745: Theory of International Economics Jack Rossbach Fall 2015 - Lecture 6 Review We ve covered several models of trade, but the empirics have been mixed Difficulties identifying goods with a technological

More information

Mixture Models & EM. Nicholas Ruozzi University of Texas at Dallas. based on the slides of Vibhav Gogate

Mixture Models & EM. Nicholas Ruozzi University of Texas at Dallas. based on the slides of Vibhav Gogate Mixture Models & EM Nicholas Ruozzi University of Texas at Dallas based on the slides of Vibhav Gogate Previously We looked at -means and hierarchical clustering as mechanisms for unsupervised learning

More information

Addition and Subtraction of Rational Expressions

Addition and Subtraction of Rational Expressions RT.3 Addition and Subtraction of Rational Expressions Many real-world applications involve adding or subtracting algebraic fractions. Similarly as in the case of common fractions, to add or subtract algebraic

More information

SNARKs with Preprocessing. Eran Tromer

SNARKs with Preprocessing. Eran Tromer SNARKs with Preprocessing Eran Tromer BIU Winter School on Verifiable Computation and Special Encryption 4-7 Jan 206 G: Someone generates and publishes a common reference string P: Prover picks NP statement

More information

Name: Grade: LESSON ONE: Home Row

Name: Grade: LESSON ONE: Home Row LESSON ONE: Home Row asdfjkl; asdfjkl; asdfjkl; aa ss dd ff jj kk ll ;; aa ss dd ff jj kk ll ;; aa ss dd ff jj kk ll ;; aa ss dd ff jj kk ll ;; aa ss dd ff jj kk ll ;; aa ss dd ff jj kk ll ;; aa ss dd

More information

115th Vienna International Rowing Regatta & International Masters Meeting. June 15 to June 17, 2018

115th Vienna International Rowing Regatta & International Masters Meeting. June 15 to June 17, 2018 115th Vienna International Rowing Regatta & International Masters Meeting Conducted by the Vienna Rowing Association An event forming part of the Austrian Club Championships 2018 (ÖVM 2018) June 15 to

More information

Introduction to Genetics

Introduction to Genetics Name: Introduction to Genetics Keystone Assessment Anchor: BIO.B.2.1.1: Describe and/or predict observed patterns of inheritance (i.e. dominant, recessive, co-dominance, incomplete dominance, sex-linked,

More information

Spring 2017 COT 3100 Final Exam: Part A (for all students) Last Name:, First Name : Date: April 27, 2017

Spring 2017 COT 3100 Final Exam: Part A (for all students) Last Name:, First Name : Date: April 27, 2017 Spring 2017 COT 3100 Final Exam: Part A (for all students) Last Name:, First Name : Date: April 27, 2017 1) (20 pts - Induction) Using induction on n, prove for all positive integers n that 2n ( 1) i i

More information

NEUE DONAU / VIENNA. June 24 to 26,

NEUE DONAU / VIENNA. June 24 to 26, 114th VIENNA INTERNATIONAL ROWING REGATTA & MASTERS TRIAL NEUE DONAU / VIENNA June 24 to 26, 2017 www.ruderverband.wien Wiener Ruderverband 2 114th Vienna International Rowing Regatta Conducted by the

More information

Jasmin Smajic 1, Christian Hafner 2, Jürg Leuthold 2, March 16, 2015 Introduction to Finite Element Method (FEM) Part 1 (2-D FEM)

Jasmin Smajic 1, Christian Hafner 2, Jürg Leuthold 2, March 16, 2015 Introduction to Finite Element Method (FEM) Part 1 (2-D FEM) Jasmin Smajic 1, Christian Hafner 2, Jürg Leuthold 2, March 16, 2015 Introduction to Finite Element Method (FEM) Part 1 (2-D FEM) 1 HSR - University of Applied Sciences of Eastern Switzerland Institute

More information

Chattanooga Math Circle. Heunggi Park, Covenant College April 23, 2017

Chattanooga Math Circle. Heunggi Park, Covenant College April 23, 2017 Chattanooga Math Circle Heunggi Park, Covenant College April 23, 2017 Warming-up: A Brain Exercise The Intrigue of Numbers 1 The Intrigue of Numbers Prove that every natural number is interesting. 1 The

More information

Bayesian Methods: Naïve Bayes

Bayesian Methods: Naïve Bayes Bayesian Methods: Naïve Bayes Nicholas Ruozzi University of Texas at Dallas based on the slides of Vibhav Gogate Last Time Parameter learning Learning the parameter of a simple coin flipping model Prior

More information

ISyE 6414: Regression Analysis

ISyE 6414: Regression Analysis ISyE 6414: Regression Analysis Lectures: MWF 8:00-10:30, MRDC #2404 Early five-week session; May 14- June 15 (8:00-9:10; 10-min break; 9:20-10:30) Instructor: Dr. Yajun Mei ( YA_JUNE MAY ) Email: ymei@isye.gatech.edu;

More information

Logistic Regression. Hongning Wang

Logistic Regression. Hongning Wang Logistic Regression Hongning Wang CS@UVa Today s lecture Logistic regression model A discriminative classification model Two different perspectives to derive the model Parameter estimation CS@UVa CS 6501:

More information

Midterm Exam 1, section 2. Thursday, September hour, 15 minutes

Midterm Exam 1, section 2. Thursday, September hour, 15 minutes San Francisco State University Michael Bar ECON 312 Fall 2018 Midterm Exam 1, section 2 Thursday, September 27 1 hour, 15 minutes Name: Instructions 1. This is closed book, closed notes exam. 2. You can

More information

8. International Matchplay-Trophy 2017 Golfclub Sinsheim

8. International Matchplay-Trophy 2017 Golfclub Sinsheim 8. International Matchplay-Trophy 2017 Golfclub Sinsheim Entrance fee: EUR 180,The entrance fee has to be paid by remittance with the ceremony of entry. Participants from abroad have to transfer the entrance

More information

CS145: INTRODUCTION TO DATA MINING

CS145: INTRODUCTION TO DATA MINING CS145: INTRODUCTION TO DATA MINING 3: Vector Data: Logistic Regression Instructor: Yizhou Sun yzsun@cs.ucla.edu October 9, 2017 Methods to Learn Vector Data Set Data Sequence Data Text Data Classification

More information

graphic standards manual Mountain States Health Alliance

graphic standards manual Mountain States Health Alliance manual Mountain States mountain states health alliance Bringing Loving Care to Health Care Table of Contents 4 5 6 7 9 -- Why do we need? Brandmark Specifications Brandmark Color Palette Corporate Typography

More information

NATIONAL FEDERATION RULES B. National Federation Rules Apply with the following TOP GUN EXCEPTIONS

NATIONAL FEDERATION RULES B. National Federation Rules Apply with the following TOP GUN EXCEPTIONS TOP GUN COACH PITCH RULES 8 & Girls Division Revised January 11, 2018 AGE CUT OFF A. Age 8 & under. Cut off date is January 1st. Player may not turn 9 before January 1 st. Please have Birth Certificates

More information

What is Restrained and Unrestrained Pipes and what is the Strength Criteria

What is Restrained and Unrestrained Pipes and what is the Strength Criteria What is Restrained and Unrestrained Pipes and what is the Strength Criteria Alex Matveev, September 11, 2018 About author: Alex Matveev is one of the authors of pipe stress analysis codes GOST 32388-2013

More information

My ABC Insect Discovery Book

My ABC Insect Discovery Book Act i vi t ypack I ns ectabcs I nt hi spac k: ABCASLSi gnfl as hcar ds I ns ec tabcac t i v i t y SongL y r i c s AndMor e! Ac i t i v i ess uppor ts i gnsandc onc ept st aughti n Rac hel&t het r eesc

More information

Communication Amid Uncertainty

Communication Amid Uncertainty Communication Amid Uncertainty Madhu Sudan Harvard University Based on joint works with Brendan Juba, Oded Goldreich, Adam Kalai, Sanjeev Khanna, Elad Haramaty, Jacob Leshno, Clement Canonne, Venkatesan

More information

Special Topics: Data Science

Special Topics: Data Science Special Topics: Data Science L Linear Methods for Prediction Dr. Vidhyasaharan Sethu School of Electrical Engineering & Telecommunications University of New South Wales Sydney, Australia V. Sethu 1 Topics

More information

Special Right Triangles

Special Right Triangles GEOMETRY Special Right Triangles OBJECTIVE #: G.SRT.C.8 OBJECTIVE Use trigonometric ratios and the Pythagorean Theorem to solve right triangles in applied problems. *(Modeling Standard) BIG IDEA (Why is

More information

San Francisco State University ECON 560 Summer Midterm Exam 2. Monday, July hour 15 minutes

San Francisco State University ECON 560 Summer Midterm Exam 2. Monday, July hour 15 minutes San Francisco State University Michael Bar ECON 560 Summer 2018 Midterm Exam 2 Monday, July 30 1 hour 15 minutes Name: Instructions 1. This is closed book, closed notes exam. 2. No calculators or electronic

More information

Lecture 10. Support Vector Machines (cont.)

Lecture 10. Support Vector Machines (cont.) Lecture 10. Support Vector Machines (cont.) COMP90051 Statistical Machine Learning Semester 2, 2017 Lecturer: Andrey Kan Copyright: University of Melbourne This lecture Soft margin SVM Intuition and problem

More information

Lesson five. Clearance. Terminal Objective

Lesson five. Clearance. Terminal Objective Lesson five Terminal Objective Given a handout with real situational data, students will be able to calculate the possibility of a ship s passage underneath the Gerald Desmond bridge in the Port of Long

More information

Holly Burns. Publisher Mary D. Smith, M.S. Ed. Author

Holly Burns. Publisher Mary D. Smith, M.S. Ed. Author Editor Jenni Corcoran, M.Ed. Illustrator Renée Christine Yates Editorial Project Manager Mara Ellen Guckian Cover rtist Denise auer Managing Editor Ina Massler Levin, M.. Creative Director Karen J. Goldfluss,

More information

Regional Final. Supervisor s Booklet

Regional Final. Supervisor s Booklet Regional Final Supervisor s Booklet Please ensure that students do not have access to this booklet, and take care to hold it so that answers cannot be seen. Mini-Relay Score Sheet School number: School

More information

INTRODUCTION Microfilm copy of the Draper Collection of manuscripts. Originals located at the State Historical Society of Wisconsin.

INTRODUCTION Microfilm copy of the Draper Collection of manuscripts. Originals located at the State Historical Society of Wisconsin. C Draper, Lyman Copeland, Collection, 1735-1815 2964 136 rolls of microfilm RESTRICTED MICROFILM This collection is available at The State Historical Society of Missouri. If you would like more information,

More information

CS249: ADVANCED DATA MINING

CS249: ADVANCED DATA MINING CS249: ADVANCED DATA MINING Linear Regression, Logistic Regression, and GLMs Instructor: Yizhou Sun yzsun@cs.ucla.edu April 24, 2017 About WWW2017 Conference 2 Turing Award Winner Sir Tim Berners-Lee 3

More information

Scarborough Spring 2013 Math Exam I 1. "On my honor, as an Aggie, I have neither given nor received unauthorized aid on this academic work.

Scarborough Spring 2013 Math Exam I 1. On my honor, as an Aggie, I have neither given nor received unauthorized aid on this academic work. Scarborough Spring 2013 Math 365-501 Exam I 1 Math 365 Exam 1 Spring 2013 Scarborough NEATLY PRINT NAME: STUDENT ID: DATE: "On my honor, as an Aggie, I have neither given nor received unauthorized aid

More information

Abstract In this paper, the author deals with the properties of circumscribed ellipses of convex quadrilaterals, using tools of parallel projective tr

Abstract In this paper, the author deals with the properties of circumscribed ellipses of convex quadrilaterals, using tools of parallel projective tr Study on the Properties of Circumscribed Ellipses of Convex Quadrilaterals Author: Yixi Shen Mentors: Zhongyuan Dai; Yijun Yao No. High School of East China Normal University Shanghai, China December,

More information

INSTALLING THE PROWLER 13 RUDDER

INSTALLING THE PROWLER 13 RUDDER INSTALLING THE PROWLER 13 RUDDER Parts Included: Steering Parts: Foot Rail Parts: Rudder Parts: Retraction Parts: 4 Rubber 2 Rail Assemblies Rudder Body 1 Rudder Retraction Grommets (includes steering

More information

CH 34 MORE PYTHAGOREAN THEOREM AND RECTANGLES

CH 34 MORE PYTHAGOREAN THEOREM AND RECTANGLES CH 34 MORE PYTHAGOREAN THEOREM AND RECTANGLES 317 Recalling The Pythagorean Theorem a 2 + b 2 = c 2 a c 90 b The 90 angle is called the right angle of the right triangle. The other two angles of the right

More information

Communication Amid Uncertainty

Communication Amid Uncertainty Communication Amid Uncertainty Madhu Sudan Harvard University Based on joint works with Brendan Juba, Oded Goldreich, Adam Kalai, Sanjeev Khanna, Elad Haramaty, Jacob Leshno, Clement Canonne, Venkatesan

More information

knn & Naïve Bayes Hongning Wang

knn & Naïve Bayes Hongning Wang knn & Naïve Bayes Hongning Wang CS@UVa Today s lecture Instance-based classifiers k nearest neighbors Non-parametric learning algorithm Model-based classifiers Naïve Bayes classifier A generative model

More information

Broken Calculators. Prepared by Daniel Finkel for the Julia Robinson Festival

Broken Calculators. Prepared by Daniel Finkel for the Julia Robinson Festival Broken Calculators I ve got a collection of calculators in my basement--unfortunately, all of them are broken in particular ways. I ve recently been curious if I can still use them to do calculations.

More information

Florida from A-Z. Private use only Kelli

Florida from A-Z.  Private use only Kelli Florida from A-Z www.adventurezinchildrearing.com Kelli Becton @AdventurZNchild Private use only copyright @AdventurezinChilcRearing Table of Contents Aa is for Alligator.........................................................

More information

A Finite Model Theorem for the Propositional µ-calculus

A Finite Model Theorem for the Propositional µ-calculus A Finite Model Theorem for the Propositional µ-calculus Dexter Kozen Department of Computer Science Cornell University Ithaca, New York 14853-7501 Abstract We prove a finite model theorem and infinitary

More information

Grade K-1 WRITING Traffic Safety Cross-Curriculum Activity Workbook

Grade K-1 WRITING Traffic Safety Cross-Curriculum Activity Workbook Grade K-1 WRITING Tra fic Safety Cross-Curriculum Activity Workbook Note to Teachers The AAA Traffic Safety Education Materials present essential safety concepts to students in Kindergarten through fifth

More information

Analysis of Gini s Mean Difference for Randomized Block Design

Analysis of Gini s Mean Difference for Randomized Block Design American Journal of Mathematics and Statistics 2015, 5(3): 111-122 DOI: 10.5923/j.ajms.20150503.02 Analysis of Gini s Mean Difference for Randomized Block Design Elsayed A. H. Elamir Department of Statistics

More information

Physical Design of CMOS Integrated Circuits

Physical Design of CMOS Integrated Circuits Physical Design of CMOS Integrated Circuits Dae Hyun Kim EECS Washington State University References John P. Uyemura, Introduction to VLSI Circuits and Systems, 2002. Chapter 5 Goal Understand how to physically

More information

R * : EQUILIBRIUM INTEREST RATE. Yuriy Gorodnichenko UC Berkeley

R * : EQUILIBRIUM INTEREST RATE. Yuriy Gorodnichenko UC Berkeley R * : EQUILIBRIUM INTEREST RATE Yuriy Gorodnichenko UC Berkeley What is common across the following: Working of a black box device WHAT DO WE KNOW ABOUT R *? Location of black holes in the universe Equilibrium

More information

RP_OH ST101OH 2nd HALF Settlement Worksheet

RP_OH ST101OH 2nd HALF Settlement Worksheet All reports must be run in order to balance the ST101OH Settlement Distribution for 2 nd half. Following the Agenda for RP_OH, you must have run the reports up to the ST101OH to begin balancing. The reports

More information

Operational Risk Management: Preventive vs. Corrective Control

Operational Risk Management: Preventive vs. Corrective Control Operational Risk Management: Preventive vs. Corrective Control Yuqian Xu (UIUC) July 2018 Joint Work with Lingjiong Zhu and Michael Pinedo 1 Research Questions How to manage operational risk? How does

More information

Tie Breaking Procedure

Tie Breaking Procedure Ohio Youth Basketball Tie Breaking Procedure The higher seeded team when two teams have the same record after completion of pool play will be determined by the winner of their head to head competition.

More information

Section 8: Right Triangles

Section 8: Right Triangles The following Mathematics Florida Standards will be covered in this section: MAFS.912.G-CO.2.8 Explain how the criteria for triangle congruence (ASA, SAS, SSS, and Hypotenuse-Leg) follow from the definition

More information

Unit 8: GENETICS PACKET

Unit 8: GENETICS PACKET Unit 8: GENETICS PACKET This packet is designed to help you understand several concepts about GENETICS. As you practice the exercises on each handout, you will be able to: Make and defend a claim based

More information

RACING AND ATHLETICS REGULATION 6 SIMULCAST WAGERING

RACING AND ATHLETICS REGULATION 6 SIMULCAST WAGERING State of Rhode Island and Providence Plantations DEPARTMENT OF BUSINESS REGULATION Racing and Athletics Division 233 Richmond Street Providence, RI 02903 RACING AND ATHLETICS REGULATION 6 SIMULCAST WAGERING

More information

Student Outcomes. Lesson Notes. Classwork. Discussion (20 minutes)

Student Outcomes. Lesson Notes. Classwork. Discussion (20 minutes) Student Outcomes Students explain a proof of the converse of the Pythagorean Theorem. Students apply the theorem and its converse to solve problems. Lesson Notes Students had their first experience with

More information

HOCKEY ALBERTA REGULATIONS

HOCKEY ALBERTA REGULATIONS 22 HOCKEY ALBERTA REGULATIONS 23 GENERAL REGULATIONS 1. Definitions 1.1 All words and phrases used herein, if defined in the Bylaws, shall (unless separately defined herein) have the same meaning as is

More information

APPENDIX A COMPUTATIONALLY GENERATED RANDOM DIGITS 748 APPENDIX C CHI-SQUARE RIGHT-HAND TAIL PROBABILITIES 754

APPENDIX A COMPUTATIONALLY GENERATED RANDOM DIGITS 748 APPENDIX C CHI-SQUARE RIGHT-HAND TAIL PROBABILITIES 754 IV Appendices APPENDIX A COMPUTATIONALLY GENERATED RANDOM DIGITS 748 APPENDIX B RANDOM NUMBER TABLES 750 APPENDIX C CHI-SQUARE RIGHT-HAND TAIL PROBABILITIES 754 APPENDIX D LINEAR INTERPOLATION 755 APPENDIX

More information

CT4510: Computer Graphics. Transformation BOCHANG MOON

CT4510: Computer Graphics. Transformation BOCHANG MOON CT4510: Computer Graphics Transformation BOCHANG MOON 2D Translation Transformations such as rotation and scale can be represented using a matrix M ee. gg., MM = SSSS xx = mm 11 xx + mm 12 yy yy = mm 21

More information

Imperfectly Shared Randomness in Communication

Imperfectly Shared Randomness in Communication Imperfectly Shared Randomness in Communication Madhu Sudan Harvard Joint work with Clément Canonne (Columbia), Venkatesan Guruswami (CMU) and Raghu Meka (UCLA). 11/16/2016 UofT: ISR in Communication 1

More information

CMIMC 2018 Official Contest Information

CMIMC 2018 Official Contest Information CMIMC 2018 Official Contest Information CMIMC Staff Latest version: January 14, 2018 1 Introduction 1. This document is the official contest information packet for the 2018 Carnegie Mellon Informatics

More information

JEFFERSON MATH PROJECT REGENTS BY STANDARD

JEFFERSON MATH PROJECT REGENTS BY STANDARD JEFFERSON MATH PROJECT REGENTS BY STANDARD All 96 NY Math A Regents Exam Questions from June 1999 to January 008 Sorted by Standard Dear Sir I have to acknolege the reciept of your favor of May 14. in

More information

GCSE 9-1 Higher Edexcel Set C Paper 1 - Non Calculator

GCSE 9-1 Higher Edexcel Set C Paper 1 - Non Calculator Name: GCSE 9-1 Higher Edexcel Set C Paper 1 - Non Calculator Equipment 1. A black ink ball-point pen. 2. A pencil. 3. An eraser. 4. A ruler. 5. A pair of compasses. 6. A protractor. Guidance 1. Read each

More information

Review questions CPSC 203 midterm 2

Review questions CPSC 203 midterm 2 Review questions CPSC 203 midterm 2 Page 1 of 7 Online review questions: the following are meant to provide you with some extra practice so you need to actually try them on your own to get anything out

More information

Scoil Rince Ní Bhrogáin

Scoil Rince Ní Bhrogáin Scoil Rince Ní Bhrogáin Presents the Omagh Championships On Saturday 10 th and Sunday 11 th February 2018 In St Joseph s Hall, Omagh Adjudicators: Ms.Yvonne Cannon Ms Michelle Lee Ms. Gabrielle Lynam Ms.

More information

Report for Experiment #11 Testing Newton s Second Law On the Moon

Report for Experiment #11 Testing Newton s Second Law On the Moon Report for Experiment #11 Testing Newton s Second Law On the Moon Neil Armstrong Lab partner: Buzz Aldrin TA: Michael Collins July 20th, 1969 Abstract In this experiment, we tested Newton s second law

More information

University of Colorado-Boulder MATH 1300 Homework 1

University of Colorado-Boulder MATH 1300 Homework 1 Turn in the following problems: 1. Consider the following mathematical statements. Determine if the statements are always true, sometimes true, or never true. (a) (x + 2) 4 = x 4 + 16 (b) x 4 + 8x 2 +

More information

STAT/MATH 395 PROBABILITY II

STAT/MATH 395 PROBABILITY II STAT/MATH 395 PROBABILITY II Quick review on Discrete Random Variables Néhémy Lim University of Washington Winter 2017 Example Pick 5 toppings from a total of 15. Give the sample space Ω of the experiment

More information

Genetics and Inheritance

Genetics and Inheritance + Genetics and Inheritance + Intro to Genetics Every living thing plant or animal, microbe or human being has a set of characteristics inherited from its parent or parents. Your DNA holds the genetic code

More information

8-1. The Pythagorean Theorem and Its Converse. Vocabulary. Review. Vocabulary Builder. Use Your Vocabulary

8-1. The Pythagorean Theorem and Its Converse. Vocabulary. Review. Vocabulary Builder. Use Your Vocabulary 8-1 The Pythagorean Theorem and Its Converse Vocabulary Review 1. Write the square and the positive square root of each number. Number 9 Square Positive Square Root 1 4 1 16 Vocabulary Builder leg (noun)

More information

Product Decomposition in Supply Chain Planning

Product Decomposition in Supply Chain Planning Mario R. Eden, Marianthi Ierapetritou and Gavin P. Towler (Editors) Proceedings of the 13 th International Symposium on Process Systems Engineering PSE 2018 July 1-5, 2018, San Diego, California, USA 2018

More information

TSP at isolated intersections: Some advances under simulation environment

TSP at isolated intersections: Some advances under simulation environment TSP at isolated intersections: Some advances under simulation environment Zhengyao Yu Vikash V. Gayah Eleni Christofa TESC 2018 December 5, 2018 Overview Motivation Problem introduction Assumptions Formation

More information

World Eight Ball Pool Federation Rules Unabridged Version Issued January 2009 An abridged version of the latest rules may be downloaded here (pdf)

World Eight Ball Pool Federation Rules Unabridged Version Issued January 2009 An abridged version of the latest rules may be downloaded here (pdf) World Eight Ball Pool Federation Rules Unabridged Version Issued January 2009 An abridged version of the latest rules may be downloaded here (pdf) THE RACK The Playing Rules are the copyright of the World

More information

The Sports Product Market - Part 3 ECONOMICS OF SPORTS (ECON 325) BEN VAN KAMMEN, PHD

The Sports Product Market - Part 3 ECONOMICS OF SPORTS (ECON 325) BEN VAN KAMMEN, PHD The Sports Product Market - Part 3 ECONOMICS OF SPORTS (ECON 325) BEN VAN KAMMEN, PHD Competition in sports, 2 different notions On the field. Defined as: o Close games. o Absence of extremely dominant

More information

A Class of Regression Estimator with Cum-Dual Ratio Estimator as Intercept

A Class of Regression Estimator with Cum-Dual Ratio Estimator as Intercept International Journal of Probability and Statistics 015, 4(): 4-50 DOI: 10.593/j.ijps.015040.0 A Class of Regression Estimator with Cum-Dual Ratio Estimator as Intercept F. B. Adebola 1, N. A. Adegoke

More information

Falk Low Speed Shaft Seal Numbers

Falk Low Speed Shaft Seal Numbers Seal and earing Data Parts Guide TypesE& Sizes 1 thru 8&15thru 75 (Page 1 of 5) High Speed Seal Numbers SIZE E, EZ and TYPES EZ, EZX and X EZ, E,, E,, ET & T 1 9127 2 9127 9127 1 9127 9127 9127 9127 5

More information

Lesson 23: The Volume of a Right Prism

Lesson 23: The Volume of a Right Prism Lesson 23 Lesson 23: Student Outcomes Students use the known formula for the volume of a right rectangular prism (length width height). Students understand the volume of a right prism to be the area of

More information

Discrete Math 2/10/19

Discrete Math 2/10/19 Discrete Math Instructor s Information: Name: Dr. Najah Al-shanableh Office hours: Sunday and Tuesday : 9:30-11:00 am Monday and Wednesday: 11:00 am 12:00 pm E-Mail: najah2746@aabu.edu.jo Office Tel.:

More information

THURSDAY, October 4, :00 AM... PARKING BEGINS 12:00 PM... TECH AND REGISTRATION OPEN

THURSDAY, October 4, :00 AM... PARKING BEGINS 12:00 PM... TECH AND REGISTRATION OPEN SCHEDULE OF EVENTS NOTE: The Summit Division Championship Weekend is a 4 day event, starting on Thursday, October 4th and scheduled to run through Sunday, October 7th. The schedule listed below is a tentative

More information

New Class of Almost Unbiased Modified Ratio Cum Product Estimators with Knownparameters of Auxiliary Variables

New Class of Almost Unbiased Modified Ratio Cum Product Estimators with Knownparameters of Auxiliary Variables Journal of Mathematics and System Science 7 (017) 48-60 doi: 10.1765/159-591/017.09.00 D DAVID PUBLISHING New Class of Almost Unbiased Modified Ratio Cum Product Estimators with Knownparameters of Auxiliary

More information

MGF 1106 Liberal Arts Mathematics Final Review

MGF 1106 Liberal Arts Mathematics Final Review MGF 1106 Liberal Arts Mathematics Final Review 1. Given U { x x is a counting number less than 11} =, A = {, 4, 6, 8, 10}, B = { 1, 3, 5, 7} C = { 1, 4, 7, 10}, which of the following is not true? [a]

More information

Machine Learning Application in Aviation Safety

Machine Learning Application in Aviation Safety Machine Learning Application in Aviation Safety Surface Safety Metric MOR Classification Presented to: By: Date: ART Firdu Bati, PhD, FAA September, 2018 Agenda Surface Safety Metric (SSM) development

More information

2011 Canadian Intermediate Mathematics Contest

2011 Canadian Intermediate Mathematics Contest The CENTRE for EDUCATION in MATHEMATICS and COMPUTING www.cemc.uwaterloo.ca 011 Canadian Intermediate Mathematics Contest Tuesday, November, 011 (in North America and South America) Wednesday, November

More information

2 When Some or All Labels are Missing: The EM Algorithm

2 When Some or All Labels are Missing: The EM Algorithm CS769 Spring Advanced Natural Language Processing The EM Algorithm Lecturer: Xiaojin Zhu jerryzhu@cs.wisc.edu Given labeled examples (x, y ),..., (x l, y l ), one can build a classifier. If in addition

More information

MATHCOUNTS. Raytheon National Competition Sprint Round Problems 1 30 DO NOT BEGIN UNTIL YOU ARE INSTRUCTED TO DO SO. Name.

MATHCOUNTS. Raytheon National Competition Sprint Round Problems 1 30 DO NOT BEGIN UNTIL YOU ARE INSTRUCTED TO DO SO. Name. MATHCOUNTS 2009 National Competition Sprint Round Problems 1 30 Name State DO NOT BEGIN UNTIL YOU ARE INSTRUCTED TO DO SO. This round of the competition consists of 30 problems. You will have 40 minutes

More information

COMP 406 Lecture 05. Artificial. Fiona Yan Liu Department of Computing The Hong Kong Polytechnic University

COMP 406 Lecture 05. Artificial. Fiona Yan Liu Department of Computing The Hong Kong Polytechnic University COMP 406 Lecture 05 Artificial Intelligence Fiona Yan Liu Department of Computing The Hong Kong Polytechnic University Learning Outcomes of Intelligent Agents Search agents Uninformed search Informed search

More information

Enforcement. Traffic Stops INSURANCE INSURANCE REGISTRATION. Enforcement Traffic Stops A B C. I-a I-b I-c. Insurance Card Targeta de aseguranza

Enforcement. Traffic Stops INSURANCE INSURANCE REGISTRATION. Enforcement Traffic Stops A B C. I-a I-b I-c. Insurance Card Targeta de aseguranza Enforcement Traffic Stops I-a I-b I-c INSURANCE REGISTRATION INSURANCE Driver's Licence Lincencia de conducir Registration Card Tarjeta de registro Insurance Card Targeta de aseguranza I-d I-e I-f A B

More information

EE582 Physical Design Automation of VLSI Circuits and Systems

EE582 Physical Design Automation of VLSI Circuits and Systems EE Prof. Dae Hyun Kim School of Electrical Engineering and Computer Science Washington State University Routing Grid Routing Grid Routing Grid Routing Grid Routing Grid Routing Lee s algorithm (Maze routing)

More information

TERMINATION FOR HYBRID TABLEAUS

TERMINATION FOR HYBRID TABLEAUS TERMINATION FOR HYBRID TABLEAUS THOMAS BOLANDER AND PATRICK BLACKBURN Abstract. This article extends and improves work on tableau-based decision methods for hybrid logic by Bolander and Braüner [5]. Their

More information

Erie County Technical School Facility Maintenance Technology Duty/Task List

Erie County Technical School Facility Maintenance Technology Duty/Task List 1 of 13 This program includes instruction in Center for Construction Education and Research (NCCER) Content Areas, Titles and Task Statements 00 FUNDAMENTALS OF FACILITY MAINTENANCE TECHNOLOGY A BASIC

More information

Algebra Date Lesson Independent Work Computer Tuesday, Introduction (whole class) Problem with Dice

Algebra Date Lesson Independent Work Computer Tuesday, Introduction (whole class) Problem with Dice Introduction (whole class) Problem with Dice Critical Thinking Puzzles 3 Station expectations Count the Squares Math Riddles Wednesday, Computer expectations (whole class) Tangrams Read permission slip

More information

California Theatre VENUES FAST FACTS VENUE SYNOPSIS. 345 South 1st Street, San Jose, CA SAN-JOSE

California Theatre VENUES FAST FACTS VENUE SYNOPSIS. 345 South 1st Street, San Jose, CA SAN-JOSE VENUES 3 South 1st Street, San Jose, CA 91 800-SAN-JOSE www.sanjose.org FAST FACTS Across the street from the Convention Center 1,1 seating capacity, including up to 1 wheelchair seats State-of-the-art

More information

Chapter. Similar Triangles. Copyright Cengage Learning. All rights reserved.

Chapter. Similar Triangles. Copyright Cengage Learning. All rights reserved. Chapter 5 Similar Triangles Copyright Cengage Learning. All rights reserved. 5.4 The Pythagorean Theorem Copyright Cengage Learning. All rights reserved. The Pythagorean Theorem The following theorem will

More information