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Plan for this class Welcome to 4003-380 Logistics Introduction to - PDF document

Plan for this class Welcome to 4003-380 Logistics Introduction to CS Theory Syllabus & Ground Rules Student Info Forms / Attendance Joe Geigel What is this Course About ------ break --------- Discrete Math Review


  1. Plan for this class Welcome to 4003-380  Logistics Introduction to CS Theory  Syllabus & Ground Rules  Student Info Forms / Attendance Joe Geigel  What is this Course About  ------ break ---------  Discrete Math Review Logistics Logistics  First things first.  mycourses  Class Web site  dropboxes  http://www.cs.rit.edu/~jmg/cs380  RIT e-mail address forwarding  Grade book  Syllabus (e-version of handout)  Schedule  Homework Assignments  Diary (including these slides) Logistics Logistics  Required Textbook  Optional Textbook  An Introduction to  JFLAP: An Interactive Formal Language and Formal Languages Automata, 4th Edition and Automata by Peter Linz. Package by Susan Rodger  2006 Printing  Software on mycourses or obtain from  www.jflap.org 1

  2. Logistics Logistics  Prerequisite:  About Me  1016-265: Discrete Math  Joe Geigel  1016-705: Discrete Math II  Office: 70-3527  Office Hours: MW 2-4 (and by appt)  These are important as the material in  http://www.cs.rit.edu/~jmg this class is mathematical in nature. Logistics Logistics  Grading:  Homework  Homework will be assigned weekly.  Three basic course activities:  Will have 1 week to complete each assn.  Homework 45%  Due dates are definite!  Exams (2) 30%  no late homeworks!  Final Exam 25%  Listed in HOMEWORK section of Web site  Group submission (max 2 people) ok  Each assignment carries equal weight  Lowest homework grade is dropped.  Some homework will require JFLAP Logistics Logistics  Discrete Math Quiz  Homework  Quick quiz on basic discrete math concepts  Homework problem session  Proofs  2 nd half of class on days when homework is not assigned.  Sets  Questions about current homework  Relations assignment.  Will be given next class  Similar problems done on the board.  Counts as an extra homework 2

  3. Logistics Logistics  Tutoring Center  Exams  Dedicated Theory Tutoring  Dates  CS theory tutoring center (70-3660).  Thursday, October 2 (Chapters 2-4)  Current schedule:  Thursday, October 23 (Chapters 5-8)  TBA  One rule about tutors: You are not allowed to discuss open homework problems with them.  Closed book…1 page study guide  http://www.cs.rit.edu/~eh/tutoring.html  No make up exams Logistics Logistics  Final Exam  Schedule  Given during exam week  Posted on SCHEDULE section of Web site  Exact date and time TBD  Subject to change, but indicates the best guess as  Cumulative…sort of to what will be covered when  Closed book…1 page study guide  Includes links to these slides (in PDF)  Slides should be available 1 day before the lecture.  Review Session: last class  No make up exams.  Any questions so far? Logistics So what is this course all  CS Dept Policy of Academic Dishonesty about?  Included in hardcopy syllabus  Please read and understand.  Speaking of student info forms  Any questions before I hand them out? 3

  4. Think back to 1937… Meanwhile…in Princeton, NJ  Researchers were contemplating the following The Golden Gate Bridge was question: completed  “Can there exist, at least in principle, a definite method by which all mathematical problems can be decided” Jesse Owens was celebrating his  In other words…a programmable computer. Olympic gold medal  They did not have the technology…yet  But they did have mathematics Swing was king!  Mathematical models of computing machinery! There were NO programmable computers Things you will learn Languages  Three basic concepts:  Wikipedia says:  Languages  A language is a system of signals, such as voice sounds, gestures or written symbols  Grammars that encode or decode information.  Automata  For our purposes  A language is a set of strings. Grammars Grammars  Wikipedia says:  Think back to your days of learning English  languages can be described as a system of  Rules for constructing a simple sentence symbols and the grammars (rules) by  Sentence = noun phrase + verb phrase which the symbols are manipulated  Noun phrase =  Name (Joe)  Grammar is the study of rules governing  Article + noun (the car)  Verb Phrase = the use of language.  Verb (runs)  Verb + prepositional phrase  Prepositional Phrase =  Preposition + noun phrase (from the car) 4

  5. Grammars Grammars  Look at the sentence. Is this grammatically correct?  Look at the sentence. Is this  Joe runs from the car. grammatically correct?  Joe runs from the car.  Sentence = noun phrase + verb phrase  = noun + verb phrase  = Name + verb phrase  Sentence = Joe + verb + from + article +noun  = Joe + verb phrase  = Joe + verb + prepositional phrase  = Joe + verb + from + the + car  = Joe + verb + preposition + noun phrase  = Joe + ran + from + the + car  = Joe + verb + from + noun phrase  = Joe + verb + from + article +noun  Valid sentence! Automata Example: Tic Tac Toe  Wikipedia says: This is a mathematical  An automaton (plural: automata) is a self- model for a operating machine. machine that  For our purposes: x plays tic-tac- toe  These machines are mathematically … defined. x … o o x x x o What you will learn Example: Tic Tac Toe a b c d e f  Three basic concepts: g h i  Languages A B C  Grammars a b c d e f g h i D E F  Automata x G H I e A B C D F G H I … eI x  How does this help our friends from NJ? … o o x x eIbAh x o 5

  6. Languages: String Recognition Languages problem  Given a string and a definition of a  Take home message: language (set of strings), is the string a  Languages and problems are the same member of the language? thing  Encode problems to create strings YES, string is in Language  Add semantics to strings that represent Language problems. Input string recognition machine NO, string is  Consider encoding with 0’s and 1’s…hmmm not in Different classes of machines Language can recognize different classes of languages Languages and grammars Languages  Will actually be looking at classes of  Furthermore… languages:  We can define grammars that describe  Each class will have its own class of given languages. grammars.  Each class will have its own machine model for string recognition  Languages and machines get more complex as we move forward in the course. Languages Computation: One step further  Computation  Practical Uses of String Recognition  Basic questions in computer science  Syntax of Computer languages are defined by  Computability : What problems can and cannot be grammars computed?  Parsing / Compilers / Interpreters  Complexity : If a problem can be solved using a “computing machine”, how long will it take ?  These mathematical models are used to parse  Approach programs written in modern computer languages  All this theory was developed before the advent of computers!  Develop a mathematical model for a “computer”  “Run” your problem using this model to test for  Questions so far? computability and efficiency 6

  7. So in short… But all this is to come….  We’ll start with the basics… Theory of Computation  after the break Languages Computation  Any questions? Parsers / compilers / grep / programming Computability Complexity languages, etc 7

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