Department of Computer Science and Engineering
|
|
- Joel Eaton
- 5 years ago
- Views:
Transcription
1 COURSE DELIVERY PLAN - THEORY Page 1 of 6 Department of Computer Science and Engineering B.E/B.Tech/M.E/M.Tech : B.E. Regulation: 2013 PG Specialisation : - Sub. Code / Sub. Name : CS6503 / THEORY OF COMPUTATION Unit : I Unit Syllabus: FINITE AUTOMATA LP: CS6503 Rev. No: 00 Date: Introduction- Basic Mathematical Notation and techniques- Finite State systems Basic Definitions Finite Automaton DFA & NDFA Finite Automaton with - moves Regular Languages- Regular Expression Equivalence of NFA and DFA Equivalence of NDFA s with and without -moves Equivalence of finite Automaton and regular expressions Minimization of DFA- - Pumping Lemma for Regular sets Problems based on Pumping Lemma. Objective: To introduce Finite state systems, to explain different types of Finite Automata like DFA, NDFA with and without -moves. To introduce Regular languages and expressions proofs to prove the equivalence of different automata and regular expressions, to explain how to minimize the given DFA and Pumping Lemma to prove that the given language is not regular. 1 Introduction to Automata Theory 1-Ch. 1;Pg:1-5, 3-Ch. 1;Pg:36-61, 4-Ch. 1;Pg:5-51, 5-Ch. 1;Pg:15-28, 2 Mathematical Notations and techniques 5-Ch. 1;Pg:1-14, 6-Ch. 1;Pg: 1-13, 3 Finite Automaton DFA & NDFA Definitions, Notations, Extended Transition Functions, Languages 4 Finite Automaton Problems 1-Ch. 1;Pg:28-33, 1-Ch. 2;Pg:37-60, 3-Ch. 3;Pg:71-79, 4-Ch. 2;Pg:55-73, 5-Ch. 2;Pg:35-55, 6-Ch. 3;Pg:60-68, 1-Ch. 2;Pg:47-59,Pg:66-68,72, 5-Ch. 1;Pg:37,39,41,43-47,49-50,52-54, 5 Finite Automaton with ε- moves 1-Ch. 2;Pg:72-80, 2-Ch. 4;Pg: , 6 Finite Automaton with ε- moves-problems 1-Ch. 2;Pg:73-78,80, 2-Ch. 9;Pg: Regular Languages- Regular Expression Definitions, Notations, Operators, Problems Introduction to Formal proofs, Equivalence of NFA and DFA Equivalence of NDFA s with and without - moves Theorem and Problems Equivalence of finite Automaton and regular expressions, Algebraic laws Minimization of DFA - Table Filling Algorithm 12 Pumping Lemma for Regular sets - Theorem 1-Ch. 3;Pg:83-90, 3-Ch. 5;Pg: , 4-Ch. 2;Pg:75-83, 5-Ch. 3;Pg:71-86, 6-Ch. 3;Pg:68-75, 1-Ch. 1;Pg:5-28, Pg:60-64, 3-Ch. 3;Pg:80-83, 5-Ch. 2;Pg:55-61, 6-Ch. 3;Pg:75-80, 7-Ch. 2;Pg:26-27, 1-Ch. 3;Pg:90-122, 3-Ch. 5;Pg: , 1-Ch. 4;Pg: , 3-Ch. 3;Pg:91-96, 4-Ch. 2;Pg:92-98, 1-Ch. 4;Pg: , 3-Ch. 5;Pg: , 5-Ch. 4;Pg: , 6-Ch. 4;Pg:88-90, 13 Problems based on Pumping Lemma 1-Ch. 4;Pg: , 3-Ch. 5;Pg: , 5-Ch.4;Pg: , Introduction to different types of formal proofs, Algebraic Laws Course Outcome 1: The student will be able to design Finite Automata and solve real world problems that can be represented in regular languages. * duration: 50 minutes
2 COURSE DELIVERY PLAN - THEORY Page 2 of 6 Unit : II Unit Syllabus: GRAMMARS Grammar Introduction Derivations and Languages Ambiguity- Types of Grammar - Context Free Grammars and Languages Relationship between derivation and derivation trees Simplification of CFG Elimination of Useless symbols - Unit productions - Null productions Greibach Normal form Chomsky normal form Problems related to CNF and GNF. Objective: To introduce Grammar and its types, to explain in detail about Context Free Grammars(CFG) and Languages, to introduce methods to identify ambiguous grammars, to simplify the given CFG and to find the normal forms of given CFG. 14 Grammar Introduction Types of Grammar, Derivations and Languages 3-Ch. 4;Pg: , 4-Ch. 3;Pg: , 5-Ch. 5;Pg: , 6-Ch. 2;Pg:18-24, 15 Context Free Grammars and Languages Introduction and Problems 16 CFG problems,ambiguity 17 Relationship between derivation and derivation trees 1-Ch. 5;Pg: , 3-Ch. 4;Pg: , 5-Ch. 5;Pg: , 6-Ch. 2;Pg:48-51, 1-Ch. 5;Pg: , 3-Ch. 4;Pg: , 4-Ch. 3;Pg: , 5-Ch. 5;Pg: , 6-Ch. 2;Pg:48-51, 1-Ch. 5;Pg: , 3-Ch. 6;Pg: , 4-Ch. 3;Pg: , 5-Ch. 5;Pg: , 6-Ch. 2;Pg:32-37, 1-Ch. 5;Pg: , 3-Ch. 6;Pg: , 4-Ch. 3;Pg: , 5-Ch. 5;Pg: , 18 Simplification of CFG Elimination of Useless symbols - Unit productions - Null productions - Chomsky normal form 1-Ch. 7;Pg: , 3-Ch. 6;Pg: , 5-Ch. 6;Pg: , 6-Ch. 2;Pg:37-44, 19 Problems related to CNF 20 Greibach Normal form,problems 1-Ch. 7;Pg: ,3-Ch. 6;Pg: , 5-Ch. 6;Pg: ,6-Ch. 2;Pg:42-44, 3-Ch. 6;Pg: , 7-Ch. 4;Pg:94-97, 5-Ch. 6;Pg: , 6-Ch. 2;Pg:44-46, 3-Ch. 6;Pg: , 7-Ch. 4;Pg-97-99, 5-Ch. 6;Pg: , 6-Ch. 2;Pg:46-48, Course Outcome 2: The student will be able to design Context Free Grammars, Derivation trees and Derive its Normal forms * duration: 50 mins
3 COURSE DELIVERY PLAN - THEORY Page 3 of 6 Unit : III Unit Syllabus: Pushdown Automata Pushdown Automata- Definitions Moves Instantaneous descriptions Deterministic pushdown automata Equivalence of Pushdown automata and CFL - pumping lemma for CFL problems based on pumping Lemma. Objective: To introduce Pushdown Automata, its Instantaneous descriptions and Deterministic Pushdown automata. To explain the Equivalence of Pushdown automata & Context free languages and to use pumping lemma to prove that the given language is not Context-free. 21 Pushdown Automata (PDA)- Introduction, Definitions, Language to PDA 1-Ch. 6;Pg: , 3-Ch. 7;Pg: , 4-Ch. 3;Pg: , 5-Ch. 7;Pg: , 6-Ch. 7;Pg: , 22 Moves Instantaneous descriptions 1-Ch. 6;Pg: , 3-Ch. 7;Pg: , 6-Ch. 7;Pg: , 23 Problems on designing Pushdown Automata 1-Ch. 6;Pg: , 4-Ch. 3;Pg: , 5-Ch. 7;Pg: , 6-Ch. 7;Pg: , 24 Equivalence of Pushdown automata and CFL - Context Free Grammar to PDA, PDA to Context Free Grammar Theorems 1-Ch. 6;Pg: , 3-Ch. 7;Pg: , 5-Ch. 7;Pg: , 6-Ch. 7;Pg: , 25 PDA to Context Free Grammar Problems 1-Ch. 6;Pg: , 3-Ch. 7;Pg: , 5-Ch. 7;Pg: , 6-Ch. 7;Pg: , 26 Context Free Grammar to PDA Problems 27 Deterministic Pushdown Automata 28 Pumping lemma for CFL Theorem & Problems 1-Ch. 6;Pg: , 5-Ch. 7;Pg: , 6-Ch. 7;Pg: , 1-Ch. 6;Pg: , 3-Ch. 7;Pg: , 5-Ch. 7;Pg: , 1-Ch. 7;Pg: , 3-Ch. 6;Pg: , 4-Ch. 3;Pg: , 5-Ch. 8;Pg: , 6-Ch. 8;Pg: , Course Outcome 3: The student will be able to design Pushdown Automata and identify whether the given language is context free or not using pumping lemma * duration: 50 mins
4 COURSE DELIVERY PLAN - THEORY Page 4 of 6 Unit : IV Unit Syllabus: TURING MACHINES Definitions of Turing machines Models Computable languages and functions Techniques for Turing machine construction Multi head and Multi tape Turing Machines - The Halting problem Partial Solvability Problems about Turing machine- Chomskian hierarchy of languages. Objective: To understand a Turing Machine and its variants, to construct Turing Machine for problems that are computable, to introduce to halting problem and partial solvability. Teachin g 29 Definitions of Turing machines Models 1-Ch. 8;Pg: , 2-Ch. 9;Pg: , 3-Ch. 9;Pg: , 4-Ch. 4;Pg: , 5-Ch. 9;Pg: , 6-Ch. 9;Pg: , 30 Computable languages and functions 31 Techniques for Turing machine construction Proper Subtraction, subroutines, Storage in state, Multiple Track 32 Multi head and Multi tape Turing Machines 33 The Halting problem 2-Ch. 09;Pg: , 3-Ch. 9;Pg:283, 6-Ch. 11;Pg: , 1-Ch. 8;Pg: , 3-Ch. 9;Pg: , 6-Ch. 9;Pg: , 1-Ch. 08;Pg: , 2-Ch. 08;Pg: , 3-Ch. 09;Pg: , 4-Ch. 04;Pg: , 5-Ch. 10;Pg: , 6-Ch. 10;Pg: , 5-Ch. 12;Pg: , 3-Ch. 10;Pg:314, 4-Ch. 05;Pg: , 5-Ch. 12;Pg: , 6-Ch. 11;Pg: , 34 Partial Solvability 2-Ch. 09;Pg: , 3-Ch. 11;Pg: , 35 Problems about Turing machine 36 Problems about Turing machine 37 Chomskian hierarchy of languages 2-Ch. 9;Pg: , 4-Ch. 4;Pg: , 6-Ch. 9;Pg: , 2-Ch. 9;Pg: , 4-Ch. 4;Pg: , 6-Ch. 9;Pg: , 2-Ch. 10;Pg: , 5-Ch. 11;Pg: , 6-Ch. 13;Pg: , Course Outcome 4: The student will be able to design Turing Machine using different techniques for any computable problem * duration: 50 mins
5 COURSE DELIVERY PLAN - THEORY Page 5 of 6 Unit : V Unit Syllabus: UNSOLVABLE PROBLEMS AND COMPUTABLE FUNCTIONS Unsolvable Problems and Computable Functions Primitive recursive functions Recursive and recursively enumerable languages Universal Turing machine. MEASURING AND CLASSIFYING COMPLEXITY: Tractable and Intractable problems- Tractable and possibly intractable problems P and NP completeness - Polynomial time reductions. Objective: To introduce solvable and unsolvable problems, primitive recursive functions, Recursive and recursively enumerable languages, to explain Universal Turing machine, to introduce Tractable and Intractable problems- Tractable and possibly intractable problems P and NP completeness - Polynomial time reductions. 38 Unsolvable Problems Introduction & Examples 2-Ch. 11;Pg: , 4-Ch. 5;Pg: , 5-Ch. 12;Pg: , 39 Computable Functions - functions Primitive recursive 2-Ch. 12;Pg: , 3-Ch. 11;Pg: , 4-Ch. 05;Pg: , 5-Ch. 13;Pg: , 6-Ch. 11;Pg: , 40 Recursive and recursively enumerable languages 41 Universal Turing machine 42 Measuring And Classifying Complexity 2-Ch. 10;Pg: , 3-Ch. 11;Pg: , 4-Ch. 04;Pg: , 5-Ch. 11;Pg: , 6-Ch. 11;Pg: ,Pg: , 1-Ch. 09;Pg: , 4-Ch. 05;Pg: , 5-Ch. 10;Pg: , 6-Ch. 11;Pg: , 2-Ch. 13;Pg: , 3-Ch. 12;Pg: , 5-Ch. 14;Pg: , 6-Ch. 12;Pg: , 43 Tractable and Intractable problems - Tractable and possibly intractable problems 2-Ch. 14;Pg: , 5-Ch. 14;Pg: , 6-Ch. 12;Pg: , 44 P and NP completeness Problems 45 P and NP completeness Problems 46 Polynomial time reductions 2-Ch. 14;Pg: , 3-Ch. 12;Pg: , 4-Ch. 05;Pg: ,Pg: , 5-Ch. 14;Pg: , 6-Ch. 12;Pg: , 1-Ch. 10;Pg: , 3-Ch. 12;Pg: , 4-Ch. 05;Pg: ,Pg: , 5-Ch. 14;Pg: , 6-Ch. 12;Pg: , 1-Ch. 10;Pg: , 3-Ch. 12;Pg:351, 4-Ch. 05;Pg: , 5-Ch. 14;Pg: , 6-Ch. 12;Pg: , Course Outcome 5: The student will be able to explain and demonstrate the decidability and undecidability of various problems * duration: 50 mins
6 COURSE DELIVERY PLAN - THEORY Page 6 of 6 Sub Code / Sub Name: CS6503 / THEORY OF COMPUTATION REFERENCES: TEXT BOOKS: 1. Hopcroft J.E., Motwani R. and Ullman J.D, Introduction to Automata Theory, Languages and Computations, Second Edition, Pearson Education, (UNIT 1,2,3) 2. John C Martin, Introduction to Languages and the Theory of Computation, Third Edition, Tata McGraw Hill Publishing Company, New Delhi, (UNIT 4,5) REFERENCES: 3. Mishra K L P and Chandrasekaran N, Theory of Computer Science - Automata, Languages and Computation, Third Edition, Prentice Hall of India, Harry R Lewis and Christos H Papadimitriou, Elements of the Theory of Computation, Second Edition, Prentice Hall of India, Pearson Education, New Delhi, Peter Linz, An Introduction to Formal Language and Automata, Third Edition, Narosa Publishers, New Delhi, Kamala Krithivasan and Rama. R, Introduction to Formal Languages, Automata Theory and Computation, Pearson Education Hopcroft J.E., and Ullman J.D, Introduction to Automata Theory, Languages and Computations, First Edition, Pearson Education, 2008.
A R "! I,,, !~ii ii! A ow ' r.-ii ' i ' JA' V5, 9. MiN, ;
A R "! I,,, r.-ii ' i '!~ii ii! A ow ' I % i o,... V. 4..... JA' i,.. Al V5, 9 MiN, ; Logic and Language Models for Computer Science Logic and Language Models for Computer Science HENRY HAMBURGER George
More informationEnumeration of Context-Free Languages and Related Structures
Enumeration of Context-Free Languages and Related Structures Michael Domaratzki Jodrey School of Computer Science, Acadia University Wolfville, NS B4P 2R6 Canada Alexander Okhotin Department of Mathematics,
More informationGrammars & Parsing, Part 1:
Grammars & Parsing, Part 1: Rules, representations, and transformations- oh my! Sentence VP The teacher Verb gave the lecture 2015-02-12 CS 562/662: Natural Language Processing Game plan for today: Review
More informationLanguage properties and Grammar of Parallel and Series Parallel Languages
arxiv:1711.01799v1 [cs.fl] 6 Nov 2017 Language properties and Grammar of Parallel and Series Parallel Languages Mohana.N 1, Kalyani Desikan 2 and V.Rajkumar Dare 3 1 Division of Mathematics, School of
More informationCOMPUTATIONAL COMPLEXITY OF LEFT-ASSOCIATIVE GRAMMAR
COMPUTATIONAL COMPLEXITY OF LEFT-ASSOCIATIVE GRAMMAR ROLAND HAUSSER Institut für Deutsche Philologie Ludwig-Maximilians Universität München München, West Germany 1. CHOICE OF A PRIMITIVE OPERATION The
More informationA Version Space Approach to Learning Context-free Grammars
Machine Learning 2: 39~74, 1987 1987 Kluwer Academic Publishers, Boston - Manufactured in The Netherlands A Version Space Approach to Learning Context-free Grammars KURT VANLEHN (VANLEHN@A.PSY.CMU.EDU)
More informationBasic Parsing with Context-Free Grammars. Some slides adapted from Julia Hirschberg and Dan Jurafsky 1
Basic Parsing with Context-Free Grammars Some slides adapted from Julia Hirschberg and Dan Jurafsky 1 Announcements HW 2 to go out today. Next Tuesday most important for background to assignment Sign up
More informationA General Class of Noncontext Free Grammars Generating Context Free Languages
INFORMATION AND CONTROL 43, 187-194 (1979) A General Class of Noncontext Free Grammars Generating Context Free Languages SARWAN K. AGGARWAL Boeing Wichita Company, Wichita, Kansas 67210 AND JAMES A. HEINEN
More informationParsing of part-of-speech tagged Assamese Texts
IJCSI International Journal of Computer Science Issues, Vol. 6, No. 1, 2009 ISSN (Online): 1694-0784 ISSN (Print): 1694-0814 28 Parsing of part-of-speech tagged Assamese Texts Mirzanur Rahman 1, Sufal
More informationPESIT SOUTH CAMPUS 10CS71-OBJECT-ORIENTED MODELING AND DESIGN. Faculty: Mrs.Sumana Sinha No. Of Hours: 52. Outcomes
10CS71-OBJECT-ORIENTED MODELING AND DESIGN Faculty: Mrs.Sumana Sinha Of Hours: 52 Course Objective: The objective of this course is to enlighten students the software approach of handling large projects
More informationInformatics 2A: Language Complexity and the. Inf2A: Chomsky Hierarchy
Informatics 2A: Language Complexity and the Chomsky Hierarchy September 28, 2010 Starter 1 Is there a finite state machine that recognises all those strings s from the alphabet {a, b} where the difference
More informationPH.D. IN COMPUTER SCIENCE PROGRAM (POST M.S.)
PH.D. IN COMPUTER SCIENCE PROGRAM (POST M.S.) OVERVIEW ADMISSION REQUIREMENTS PROGRAM REQUIREMENTS OVERVIEW FOR THE PH.D. IN COMPUTER SCIENCE Overview The doctoral program is designed for those students
More informationSyntax Parsing 1. Grammars and parsing 2. Top-down and bottom-up parsing 3. Chart parsers 4. Bottom-up chart parsing 5. The Earley Algorithm
Syntax Parsing 1. Grammars and parsing 2. Top-down and bottom-up parsing 3. Chart parsers 4. Bottom-up chart parsing 5. The Earley Algorithm syntax: from the Greek syntaxis, meaning setting out together
More informationMath 098 Intermediate Algebra Spring 2018
Math 098 Intermediate Algebra Spring 2018 Dept. of Mathematics Instructor's Name: Office Location: Office Hours: Office Phone: E-mail: MyMathLab Course ID: Course Description This course expands on the
More informationCS 598 Natural Language Processing
CS 598 Natural Language Processing Natural language is everywhere Natural language is everywhere Natural language is everywhere Natural language is everywhere!"#$%&'&()*+,-./012 34*5665756638/9:;< =>?@ABCDEFGHIJ5KL@
More informationSelf Study Report Computer Science
Computer Science undergraduate students have access to undergraduate teaching, and general computing facilities in three buildings. Two large classrooms are housed in the Davis Centre, which hold about
More informationIT Students Workshop within Strategic Partnership of Leibniz University and Peter the Great St. Petersburg Polytechnic University
IT Students Workshop within Strategic Partnership of Leibniz University and Peter the Great St. Petersburg Polytechnic University 06.11.16 13.11.16 Hannover Our group from Peter the Great St. Petersburg
More informationProof Theory for Syntacticians
Department of Linguistics Ohio State University Syntax 2 (Linguistics 602.02) January 5, 2012 Logics for Linguistics Many different kinds of logic are directly applicable to formalizing theories in syntax
More informationThe Strong Minimalist Thesis and Bounded Optimality
The Strong Minimalist Thesis and Bounded Optimality DRAFT-IN-PROGRESS; SEND COMMENTS TO RICKL@UMICH.EDU Richard L. Lewis Department of Psychology University of Michigan 27 March 2010 1 Purpose of this
More informationEvolution of Collective Commitment during Teamwork
Fundamenta Informaticae 56 (2003) 329 371 329 IOS Press Evolution of Collective Commitment during Teamwork Barbara Dunin-Kȩplicz Institute of Informatics, Warsaw University Banacha 2, 02-097 Warsaw, Poland
More informationContext Free Grammars. Many slides from Michael Collins
Context Free Grammars Many slides from Michael Collins Overview I An introduction to the parsing problem I Context free grammars I A brief(!) sketch of the syntax of English I Examples of ambiguous structures
More informationErkki Mäkinen State change languages as homomorphic images of Szilard languages
Erkki Mäkinen State change languages as homomorphic images of Szilard languages UNIVERSITY OF TAMPERE SCHOOL OF INFORMATION SCIENCES REPORTS IN INFORMATION SCIENCES 48 TAMPERE 2016 UNIVERSITY OF TAMPERE
More informationProbability and Game Theory Course Syllabus
Probability and Game Theory Course Syllabus DATE ACTIVITY CONCEPT Sunday Learn names; introduction to course, introduce the Battle of the Bismarck Sea as a 2-person zero-sum game. Monday Day 1 Pre-test
More informationAction Models and their Induction
Action Models and their Induction Michal Čertický, Comenius University, Bratislava certicky@fmph.uniba.sk March 5, 2013 Abstract By action model, we understand any logic-based representation of effects
More informationTHE UNIVERSITY OF SYDNEY Semester 2, Information Sheet for MATH2068/2988 Number Theory and Cryptography
THE UNIVERSITY OF SYDNEY Semester 2, 2017 Information Sheet for MATH2068/2988 Number Theory and Cryptography Websites: It is important that you check the following webpages regularly. Intermediate Mathematics
More informationOn the Polynomial Degree of Minterm-Cyclic Functions
On the Polynomial Degree of Minterm-Cyclic Functions Edward L. Talmage Advisor: Amit Chakrabarti May 31, 2012 ABSTRACT When evaluating Boolean functions, each bit of input that must be checked is costly,
More informationRANKING AND UNRANKING LEFT SZILARD LANGUAGES. Erkki Mäkinen DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF TAMPERE REPORT A ER E P S I M S
N S ER E P S I M TA S UN A I S I T VER RANKING AND UNRANKING LEFT SZILARD LANGUAGES Erkki Mäkinen DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF TAMPERE REPORT A-1997-2 UNIVERSITY OF TAMPERE DEPARTMENT OF
More informationEnglish English 1,2,3,4 Textbooks used as a resource Using new curriculum - building novel library editions. rbooks - consumables
Class Book Date # of Books Comments High School Math Algebra1 Algebra 1 - Prentice-Hall 2009 120+MS+NS = 150 Geometry Geometry - Glencoe 2004 105+NS Not enough for next year Algebra 2 Algebra 2 - Glencoe
More informationMath 121 Fundamentals of Mathematics I
I. Course Description: Math 121 Fundamentals of Mathematics I Math 121 is a general course in the fundamentals of mathematics. It includes a study of concepts of numbers and fundamental operations with
More informationENGBG1 ENGBL1 Campus Linguistics. Meeting 2. Chapter 7 (Morphology) and chapter 9 (Syntax) Pia Sundqvist
Meeting 2 Chapter 7 (Morphology) and chapter 9 (Syntax) Today s agenda Repetition of meeting 1 Mini-lecture on morphology Seminar on chapter 7, worksheet Mini-lecture on syntax Seminar on chapter 9, worksheet
More informationarxiv: v1 [math.at] 10 Jan 2016
THE ALGEBRAIC ATIYAH-HIRZEBRUCH SPECTRAL SEQUENCE OF REAL PROJECTIVE SPECTRA arxiv:1601.02185v1 [math.at] 10 Jan 2016 GUOZHEN WANG AND ZHOULI XU Abstract. In this note, we use Curtis s algorithm and the
More informationSchool of Innovative Technologies and Engineering
School of Innovative Technologies and Engineering Department of Applied Mathematical Sciences Proficiency Course in MATLAB COURSE DOCUMENT VERSION 1.0 PCMv1.0 July 2012 University of Technology, Mauritius
More informationStatewide Framework Document for:
Statewide Framework Document for: 270301 Standards may be added to this document prior to submission, but may not be removed from the framework to meet state credit equivalency requirements. Performance
More informationParsing natural language
Rochester Institute of Technology RIT Scholar Works Theses Thesis/Dissertation Collections 1983 Parsing natural language Leonard E. Wilcox Follow this and additional works at: http://scholarworks.rit.edu/theses
More informationPage 1 of 11. Curriculum Map: Grade 4 Math Course: Math 4 Sub-topic: General. Grade(s): None specified
Curriculum Map: Grade 4 Math Course: Math 4 Sub-topic: General Grade(s): None specified Unit: Creating a Community of Mathematical Thinkers Timeline: Week 1 The purpose of the Establishing a Community
More informationComputer Science (CS)
Computer Science (CS) 1 Computer Science (CS) CS 1100. Computer Science and Its Applications. 4 Hours. Introduces students to the field of computer science and the patterns of thinking that enable them
More informationAP Calculus AB. Nevada Academic Standards that are assessable at the local level only.
Calculus AB Priority Keys Aligned with Nevada Standards MA I MI L S MA represents a Major content area. Any concept labeled MA is something of central importance to the entire class/curriculum; it is a
More informationIntroduction to Simulation
Introduction to Simulation Spring 2010 Dr. Louis Luangkesorn University of Pittsburgh January 19, 2010 Dr. Louis Luangkesorn ( University of Pittsburgh ) Introduction to Simulation January 19, 2010 1 /
More information11/29/2010. Statistical Parsing. Statistical Parsing. Simple PCFG for ATIS English. Syntactic Disambiguation
tatistical Parsing (Following slides are modified from Prof. Raymond Mooney s slides.) tatistical Parsing tatistical parsing uses a probabilistic model of syntax in order to assign probabilities to each
More informationImproving Fairness in Memory Scheduling
Improving Fairness in Memory Scheduling Using a Team of Learning Automata Aditya Kajwe and Madhu Mutyam Department of Computer Science & Engineering, Indian Institute of Tehcnology - Madras June 14, 2014
More informationVersion Space. Term 2012/2013 LSI - FIB. Javier Béjar cbea (LSI - FIB) Version Space Term 2012/ / 18
Version Space Javier Béjar cbea LSI - FIB Term 2012/2013 Javier Béjar cbea (LSI - FIB) Version Space Term 2012/2013 1 / 18 Outline 1 Learning logical formulas 2 Version space Introduction Search strategy
More informationSAM - Sensors, Actuators and Microcontrollers in Mobile Robots
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2017 230 - ETSETB - Barcelona School of Telecommunications Engineering 710 - EEL - Department of Electronic Engineering BACHELOR'S
More informationCONCEPT MAPS AS A DEVICE FOR LEARNING DATABASE CONCEPTS
CONCEPT MAPS AS A DEVICE FOR LEARNING DATABASE CONCEPTS Pirjo Moen Department of Computer Science P.O. Box 68 FI-00014 University of Helsinki pirjo.moen@cs.helsinki.fi http://www.cs.helsinki.fi/pirjo.moen
More informationThe Application of Lean Six Sigma in Alleviating Water Shortage in Limpopo Rural Area to Avoid Societal Disaster
The Application of Lean Six Sigma in Alleviating Water Shortage in Limpopo Rural Area to Avoid Societal Disaster S. Ngoune, P. Kholopane Department of Quality and Operations Management, University of Johannesburg,
More informationGrade 5 + DIGITAL. EL Strategies. DOK 1-4 RTI Tiers 1-3. Flexible Supplemental K-8 ELA & Math Online & Print
Standards PLUS Flexible Supplemental K-8 ELA & Math Online & Print Grade 5 SAMPLER Mathematics EL Strategies DOK 1-4 RTI Tiers 1-3 15-20 Minute Lessons Assessments Consistent with CA Testing Technology
More informationWe are strong in research and particularly noted in software engineering, information security and privacy, and humane gaming.
Computer Science 1 COMPUTER SCIENCE Office: Department of Computer Science, ECS, Suite 379 Mail Code: 2155 E Wesley Avenue, Denver, CO 80208 Phone: 303-871-2458 Email: info@cs.du.edu Web Site: Computer
More informationWSU Five-Year Program Review Self-Study Cover Page
WSU Five-Year Program Review Self-Study Cover Page Department: Program: Computer Science Computer Science AS/BS Semester Submitted: Spring 2012 Self-Study Team Chair: External to the University but within
More informationARNE - A tool for Namend Entity Recognition from Arabic Text
24 ARNE - A tool for Namend Entity Recognition from Arabic Text Carolin Shihadeh DFKI Stuhlsatzenhausweg 3 66123 Saarbrücken, Germany carolin.shihadeh@dfki.de Günter Neumann DFKI Stuhlsatzenhausweg 3 66123
More informationB.S/M.A in Mathematics
B.S/M.A in Mathematics The dual Bachelor of Science/Master of Arts in Mathematics program provides an opportunity for individuals to pursue advanced study in mathematics and to develop skills that can
More informationPre-Algebra A. Syllabus. Course Overview. Course Goals. General Skills. Credit Value
Syllabus Pre-Algebra A Course Overview Pre-Algebra is a course designed to prepare you for future work in algebra. In Pre-Algebra, you will strengthen your knowledge of numbers as you look to transition
More informationNatural Language Processing. George Konidaris
Natural Language Processing George Konidaris gdk@cs.brown.edu Fall 2017 Natural Language Processing Understanding spoken/written sentences in a natural language. Major area of research in AI. Why? Humans
More informationUniversity of Groningen. Systemen, planning, netwerken Bosman, Aart
University of Groningen Systemen, planning, netwerken Bosman, Aart IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document
More informationMathematics. Mathematics
Mathematics Program Description Successful completion of this major will assure competence in mathematics through differential and integral calculus, providing an adequate background for employment in
More informationCS 1103 Computer Science I Honors. Fall Instructor Muller. Syllabus
CS 1103 Computer Science I Honors Fall 2016 Instructor Muller Syllabus Welcome to CS1103. This course is an introduction to the art and science of computer programming and to some of the fundamental concepts
More informationINTERNAL ASSIGNMENT QUESTIONS P.G. Diploma in English Language & Teaching ANNUAL EXAMINATIONS ( )
INTERNAL ASSIGNMENT QUESTIONS P.G. Diploma in English Language & Teaching ANNUAL EXAMINATIONS (2016-2017) PROF. G. RAM REDDY CENTRE FOR DISTANCE EDUCATION (RECOGNISED BY THE DISTANCE EDUCATION BUREAU,
More informationMastering Biology Test Answers
Mastering Biology Test Free PDF ebook Download: Mastering Biology Test Download or Read Online ebook mastering biology test answers in PDF Format From The Best User Guide Database 1 2 3 4 5 6 7 8 9 10
More information(Sub)Gradient Descent
(Sub)Gradient Descent CMSC 422 MARINE CARPUAT marine@cs.umd.edu Figures credit: Piyush Rai Logistics Midterm is on Thursday 3/24 during class time closed book/internet/etc, one page of notes. will include
More informationAre You Ready? Simplify Fractions
SKILL 10 Simplify Fractions Teaching Skill 10 Objective Write a fraction in simplest form. Review the definition of simplest form with students. Ask: Is 3 written in simplest form? Why 7 or why not? (Yes,
More informationObjectives. Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition
Chapter 2: The Representation of Knowledge Expert Systems: Principles and Programming, Fourth Edition Objectives Introduce the study of logic Learn the difference between formal logic and informal logic
More informationGRAMMAR IN CONTEXT 2 PDF
GRAMMAR IN CONTEXT 2 PDF ==> Download: GRAMMAR IN CONTEXT 2 PDF GRAMMAR IN CONTEXT 2 PDF - Are you searching for Grammar In Context 2 Books? Now, you will be happy that at this time Grammar In Context
More informationTOPICS LEARNING OUTCOMES ACTIVITES ASSESSMENT Numbers and the number system
Curriculum Overview Mathematics 1 st term 5º grade - 2010 TOPICS LEARNING OUTCOMES ACTIVITES ASSESSMENT Numbers and the number system Multiplies and divides decimals by 10 or 100. Multiplies and divide
More informationLecture 1: Machine Learning Basics
1/69 Lecture 1: Machine Learning Basics Ali Harakeh University of Waterloo WAVE Lab ali.harakeh@uwaterloo.ca May 1, 2017 2/69 Overview 1 Learning Algorithms 2 Capacity, Overfitting, and Underfitting 3
More informationOn-Line Data Analytics
International Journal of Computer Applications in Engineering Sciences [VOL I, ISSUE III, SEPTEMBER 2011] [ISSN: 2231-4946] On-Line Data Analytics Yugandhar Vemulapalli #, Devarapalli Raghu *, Raja Jacob
More informationThe Interface between Phrasal and Functional Constraints
The Interface between Phrasal and Functional Constraints John T. Maxwell III* Xerox Palo Alto Research Center Ronald M. Kaplan t Xerox Palo Alto Research Center Many modern grammatical formalisms divide
More informationA Metacognitive Approach to Support Heuristic Solution of Mathematical Problems
A Metacognitive Approach to Support Heuristic Solution of Mathematical Problems John TIONG Yeun Siew Centre for Research in Pedagogy and Practice, National Institute of Education, Nanyang Technological
More informationFoothill College Summer 2016
Foothill College Summer 2016 Intermediate Algebra Math 105.04W CRN# 10135 5.0 units Instructor: Yvette Butterworth Text: None; Beoga.net material used Hours: Online Except Final Thurs, 8/4 3:30pm Phone:
More informationA Grammar for Battle Management Language
Bastian Haarmann 1 Dr. Ulrich Schade 1 Dr. Michael R. Hieb 2 1 Fraunhofer Institute for Communication, Information Processing and Ergonomics 2 George Mason University bastian.haarmann@fkie.fraunhofer.de
More informationAn Introduction to the Minimalist Program
An Introduction to the Minimalist Program Luke Smith University of Arizona Summer 2016 Some findings of traditional syntax Human languages vary greatly, but digging deeper, they all have distinct commonalities:
More informationTEACHING AND EXAMINATION REGULATIONS PART B: programme-specific section MASTER S PROGRAMME IN LOGIC
UNIVERSITY OF AMSTERDAM FACULTY OF SCIENCE TEACHING AND EXAMINATION REGULATIONS PART B: programme-specific section Academic year 2017-2018 MASTER S PROGRAMME IN LOGIC Chapter 1 Article 1.1 Article 1.2
More informationExtending Place Value with Whole Numbers to 1,000,000
Grade 4 Mathematics, Quarter 1, Unit 1.1 Extending Place Value with Whole Numbers to 1,000,000 Overview Number of Instructional Days: 10 (1 day = 45 minutes) Content to Be Learned Recognize that a digit
More informationMASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE
Master of Science (M.S.) Major in Computer Science 1 MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE Major Program The programs in computer science are designed to prepare students for doctoral research,
More informationCharacterizing Mathematical Digital Literacy: A Preliminary Investigation. Todd Abel Appalachian State University
Characterizing Mathematical Digital Literacy: A Preliminary Investigation Todd Abel Appalachian State University Jeremy Brazas, Darryl Chamberlain Jr., Aubrey Kemp Georgia State University This preliminary
More informationPython Machine Learning
Python Machine Learning Unlock deeper insights into machine learning with this vital guide to cuttingedge predictive analytics Sebastian Raschka [ PUBLISHING 1 open source I community experience distilled
More informationPre-Processing MRSes
Pre-Processing MRSes Tore Bruland Norwegian University of Science and Technology Department of Computer and Information Science torebrul@idi.ntnu.no Abstract We are in the process of creating a pipeline
More informationCS 101 Computer Science I Fall Instructor Muller. Syllabus
CS 101 Computer Science I Fall 2013 Instructor Muller Syllabus Welcome to CS101. This course is an introduction to the art and science of computer programming and to some of the fundamental concepts of
More informationWriting Research Articles
Marek J. Druzdzel with minor additions from Peter Brusilovsky University of Pittsburgh School of Information Sciences and Intelligent Systems Program marek@sis.pitt.edu http://www.pitt.edu/~druzdzel Overview
More informationTowards a MWE-driven A* parsing with LTAGs [WG2,WG3]
Towards a MWE-driven A* parsing with LTAGs [WG2,WG3] Jakub Waszczuk, Agata Savary To cite this version: Jakub Waszczuk, Agata Savary. Towards a MWE-driven A* parsing with LTAGs [WG2,WG3]. PARSEME 6th general
More informationIntroduction to HPSG. Introduction. Historical Overview. The HPSG architecture. Signature. Linguistic Objects. Descriptions.
to as a linguistic theory to to a member of the family of linguistic frameworks that are called generative grammars a grammar which is formalized to a high degree and thus makes exact predictions about
More informationLogical Aspects of Digital Mathematics Libraries (extended abstract)
Logical Aspects of Digital Mathematics Libraries (extended abstract) Stuart Allen 1, James Caldwell 2, and Robert Constable 1 1 Department of Computer Science, Cornell University, Ithaca NY 14853 2 Department
More informationISFA2008U_120 A SCHEDULING REINFORCEMENT LEARNING ALGORITHM
Proceedings of 28 ISFA 28 International Symposium on Flexible Automation Atlanta, GA, USA June 23-26, 28 ISFA28U_12 A SCHEDULING REINFORCEMENT LEARNING ALGORITHM Amit Gil, Helman Stern, Yael Edan, and
More informationLecture 1: Basic Concepts of Machine Learning
Lecture 1: Basic Concepts of Machine Learning Cognitive Systems - Machine Learning Ute Schmid (lecture) Johannes Rabold (practice) Based on slides prepared March 2005 by Maximilian Röglinger, updated 2010
More informationThe New York City Department of Education. Grade 5 Mathematics Benchmark Assessment. Teacher Guide Spring 2013
The New York City Department of Education Grade 5 Mathematics Benchmark Assessment Teacher Guide Spring 2013 February 11 March 19, 2013 2704324 Table of Contents Test Design and Instructional Purpose...
More informationLiquid Narrative Group Technical Report Number
http://liquidnarrative.csc.ncsu.edu/pubs/tr04-004.pdf NC STATE UNIVERSITY_ Liquid Narrative Group Technical Report Number 04-004 Equivalence between Narrative Mediation and Branching Story Graphs Mark
More informationDeveloping a TT-MCTAG for German with an RCG-based Parser
Developing a TT-MCTAG for German with an RCG-based Parser Laura Kallmeyer, Timm Lichte, Wolfgang Maier, Yannick Parmentier, Johannes Dellert University of Tübingen, Germany CNRS-LORIA, France LREC 2008,
More informationCourse Goal This is the final course in the developmental mathematics sequence and its purpose is to prepare students for College Algebra.
Mathematics ONLINE Math 0312: Intermediate Algebra CRN 86448 Spring 2 nd Eight Weeks/2016 3 hour lecture course +1hour lab / 64 hours per semester/ 8 weeks Textbook: Introductory and Intermediate Algebra.
More informationComputer Science 141: Computing Hardware Course Information Fall 2012
Computer Science 141: Computing Hardware Course Information Fall 2012 September 4, 2012 1 Outline The main emphasis of this course is on the basic concepts of digital computing hardware and fundamental
More informationMathematics Assessment Plan
Mathematics Assessment Plan Mission Statement for Academic Unit: Georgia Perimeter College transforms the lives of our students to thrive in a global society. As a diverse, multi campus two year college,
More informationReinForest: Multi-Domain Dialogue Management Using Hierarchical Policies and Knowledge Ontology
ReinForest: Multi-Domain Dialogue Management Using Hierarchical Policies and Knowledge Ontology Tiancheng Zhao CMU-LTI-16-006 Language Technologies Institute School of Computer Science Carnegie Mellon
More informationLevel 6. Higher Education Funding Council for England (HEFCE) Fee for 2017/18 is 9,250*
Programme Specification: Undergraduate For students starting in Academic Year 2017/2018 1. Course Summary Names of programme(s) and award title(s) Award type Mode of study Framework of Higher Education
More informationStochastic Calculus for Finance I (46-944) Spring 2008 Syllabus
Stochastic Calculus for Finance I (46-944) Spring 2008 Syllabus Introduction. This is a first course in stochastic calculus for finance. It assumes students are familiar with the material in Introduction
More informationMathematics subject curriculum
Mathematics subject curriculum Dette er ei omsetjing av den fastsette læreplanteksten. Læreplanen er fastsett på Nynorsk Established as a Regulation by the Ministry of Education and Research on 24 June
More information16 WEEKS STUDY PLAN FOR BS(IT)2 nd Semester
16 WEEKS STUDY PLAN FOR BS(IT)2 nd Semester COURSE: OBJECT ORIENTED PROGRAMMING Week Ch# Chapter Names 1 1 The Big Picture 2 2 C++ Programming Basics 3 3 Loops and Decisions 4 4 Structures 5 4 Structures
More informationPRODUCT PLATFORM DESIGN: A GRAPH GRAMMAR APPROACH
Proceedings of DETC 99: 1999 ASME Design Engineering Technical Conferences September 12-16, 1999, Las Vegas, Nevada DETC99/DTM-8762 PRODUCT PLATFORM DESIGN: A GRAPH GRAMMAR APPROACH Zahed Siddique Graduate
More informationMath Techniques of Calculus I Penn State University Summer Session 2017
Math 110 - Techniques of Calculus I Penn State University Summer Session 2017 Instructor: Sergio Zamora Barrera Office: 018 McAllister Bldg E-mail: sxz38@psu.edu Office phone: 814-865-4291 Office Hours:
More informationGRADE 5 MATHEMATICS Pre Assessment Directions, Answer Key, and Scoring Rubrics
ORANGE PUBLIC SCHOOLS OFFICE OF CURRICULUM AND INSTRUCTION OFFICE OF MATHEMATICS GRADE 5 MATHEMATICS Pre Assessment Directions, Answer Key, and Scoring Rubrics School Year 03-04 Grade 5 Pre Assessment
More informationFocused on Understanding and Fluency
Math Expressions: A Fresh Approach To Standards-Based Instruction Focused on Understanding and Fluency K 1 2 3 4 5 Consumable workbooks K-4 Homework & Remembering K-5 Hardback book gr. 5 Consumable Student
More informationsystems have been developed that are well-suited to phenomena in but is properly contained in the indexed languages. We give a
J. LOGIC PROGRAMMING 1993:12:1{199 1 STRING VARIABLE GRAMMAR: A LOGIC GRAMMAR FORMALISM FOR THE BIOLOGICAL LANGUAGE OF DNA DAVID B. SEARLS > Building upon Denite Clause Grammar (DCG), a number of logic
More informationPolice Situational Judgement Test Practice Questions
Police Practice Free PDF ebook Download: Police Practice Download or Read Online ebook police situational judgement test practice questions in PDF Format From The Best User Guide Database Practice. This
More informationImplementing a tool to Support KAOS-Beta Process Model Using EPF
Implementing a tool to Support KAOS-Beta Process Model Using EPF Malihe Tabatabaie Malihe.Tabatabaie@cs.york.ac.uk Department of Computer Science The University of York United Kingdom Eclipse Process Framework
More informationReducing Abstraction When Learning Graph Theory
Jl. of Computers in Mathematics and Science Teaching (2005) 24(3), 255-272 Reducing Abstraction When Learning Graph Theory ORIT HAZZAN Technion-Israel Institute of Technology Israel oritha@techunix.technion.ac.il
More information