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School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 5 Instructor: Daniele Micciancio Due on: Wed. Nov 10, 2010 Problem 1 Let BIGGER be the set of all strings over the alphabet cfw_0, 1, > of the form x > y , where x and y are binary n
School: UCSD
Midterm Examination #1 CSE 100 (practice) RULES: 1. Dont start the exam until the instructor says to. 2. This is a closed-book, closed-notes, no-calculator exam. Dont refer to any materials other than the exam itself. 3. Write your name, and your login na
School: UCSD
Course: Intro Modern Cryptography
Computer Science and Engineering, UCSD CSE 107: Introduction to Modern Cryptography Problem Set 1 Solutions Fall 10 Instructor: Mihir Bellare October 4, 2010 Problem Set 1 Solutions Problem 2. [30 points] The ciphertext QFL HCVPS PX V ANSWLCEZK NCJVS; PQ
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 2 Due on: May 2, 2012 Instructor: Kamalika Chaudhuri Instructions This is a 20 point homework. Problems 1 and 2 are worth 5 points each; Problem 3 is worth 10 points. Problem 1 Draw ID3 de
School: UCSD
CSE120 Midterm Exam Fall 2010 Name:_ University of California, San Diego Department of Computer Science of Engineering Midterm Examination 1 CSE120 Operating System Principals Spring, 2011 9:30-10:50am, May 2nd Print your name and ID number neatly in the
School: UCSD
Course: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework II Solve the following problems. Consult the style guide for writing solutions. Each problem is worth 10 points. Problem 1: Finding the k th Smallest Element You are given two sorted lists of size m and n. Give an O(log m + lo
School: UCSD
Course: Theory Of Computation
CSE 105: Introduction to the Theory of Computation Winter 2014 Lecture Notes: A nonregular language Instructor: Daniele Micciancio UCSD CSE This lecture notes are provided as a supplement to the textbook. In the textbook you have read about the pumping le
School: UCSD
Course: Design & Analysis Of Algorithm
Design and Analysis of Algorithms: Course Notes Prepared by Samir Khuller Dept. of Computer Science University of Maryland College Park, MD 20742 samir@cs.umd.edu (301) 405 6765 August 14, 2003 Preface These are my lecture notes from CMSC 651: Design and
School: UCSD
Course: Design & Analysis Of Algorithm
Lecture Notes for Algorithm Analysis and Design Sandeep Sen1 November 6, 2013 1 Department of Computer Science and Engineering, IIT Delhi, New Delhi 110016, India. E-mail:ssen@cse.iitd.ernet.in Contents 1 Model and Analysis 1.1 Computing Fibonacci numbers
School: UCSD
Course: Design & Analysis Of Algorithm
CMSC 451 Design and Analysis of Computer Algorithms1 David M. Mount Department of Computer Science University of Maryland Fall 2003 1 Copyright, David M. Mount, 2004, Dept. of Computer Science, University of Maryland, College Park, MD, 20742. These lectur
School: UCSD
Course: Design & Analysis Of Algorithm
Some introductory notes on Design and Analysis of Algorithms Venkatesh Raman The Institute of Mathematical Sciences C. I. T. Campus Chennai - 600 113. email: vraman@imsc.res.in 1 Introduction to Algorithm Design and Analysis 1.1 Introduction An algorithm
School: UCSD
Course: Advanced Data Structures
Lecture 18 Self-organizing data structures: lists, splay trees Data structures for multidimensional data: K-D trees Final review Reading: Weiss, Ch. 4 and Ch. 12 CSE 100, UCSD: LEC 18 Page 1 of 24 Self-organizing data structures The path-compression f
School: UCSD
Course: Advanced Data Structures
Lecture 16 Hashing Hash table and hash function design Hash functions for integers and strings Collision resolution strategies: linear probing, double hashing, random hashing, separate chaining Hash table cost functions Map ADT Reading: Weiss Ch. 5 CSE
School: UCSD
Course: Advanced Data Structures
Lecture 17 Simple vs. more sophisticated algorithm cost analysis The cost of accessing memory B-trees B-tree performance analysis B-tree find, insert, and delete operations B-tree example: a 2-3 tree Reading: Weiss, Ch. 4 section 7 CSE 100, UCSD: LEC 17 P
School: UCSD
Midterm Examination #1 CSE 100 (practice) RULES: 1. Dont start the exam until the instructor says to. 2. This is a closed-book, closed-notes, no-calculator exam. Dont refer to any materials other than the exam itself. 3. Write your name, and your login na
School: UCSD
CSE120 Midterm Exam Fall 2010 Name:_ University of California, San Diego Department of Computer Science of Engineering Midterm Examination 1 CSE120 Operating System Principals Spring, 2011 9:30-10:50am, May 2nd Print your name and ID number neatly in the
School: UCSD
School: UCSD
Course: Intro Computer Science Java
Student ID _ cs8w _ Name _ Signature _ CSE 8A Final Winter 2011 Page 1 _ (13 points) Page 2 _ (14 points) Page 3 _ (16 points) Page 4 _ (20 points) Page 5 _ (8 points) Page 6 _ (19 points) Page 7 _ (24 points) Page 8 _ (15 points) Page 9 _ (20 points) Pag
School: UCSD
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 5 Instructor: Daniele Micciancio Due on: Wed. Nov 10, 2010 Problem 1 Let BIGGER be the set of all strings over the alphabet cfw_0, 1, > of the form x > y , where x and y are binary n
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 2 Due on: May 2, 2012 Instructor: Kamalika Chaudhuri Instructions This is a 20 point homework. Problems 1 and 2 are worth 5 points each; Problem 3 is worth 10 points. Problem 1 Draw ID3 de
School: UCSD
Course: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework II Solve the following problems. Consult the style guide for writing solutions. Each problem is worth 10 points. Problem 1: Finding the k th Smallest Element You are given two sorted lists of size m and n. Give an O(log m + lo
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 0 Due on: April 11 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 2 Due on: April 25 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 2 Out: Tue Jan 22 Due: Tue Jan 29 Reading: Russell & Norvig, Chapter 14; Korb & Nicholson, Chapter 2. 2.1 Probabilistic reasoning A patient is known to have contracted a rare disease which comes in two forms, represented by the values
School: UCSD
Lab Assignment 4 Carry Look-ahead Adder/Subtractor and Hazard Free Design Due February 28, Thursday, 1:00pm Introduction: This lab assignment consists of two parts: (1) Implementation of a carry look-ahead excess-3 adder/subtractor, and (2) Hazard an
School: UCSD
Lab 2 Part 1: 2's complement Booth's Multiplication Build a 11-bit two's complement multiplier using Booth's algorithm. Part 2: Equivalence Checking Decide whether the function pairs are equivalent or not by implementing these functions and applyi
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 15 May 21st, 2014 Todays Topics 1. Profiling 2 Reasons for Diagnostic Output Tracing Timing Profiling Logging Error repor
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 17 June 2nd, 2014 Software Techniques Software version control Creating good tests Automating builds and tests Strategies
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 16 May 28th, 2014 Todays Topics 1. 2. 3. 4. Review of diagnostic output Disabling logging Unix time command Reporting bug
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 12 May 12th, 2014 Todays Topics 1. XML 2. Ant 2 An Introduction to XML (slides based on PRINCIPLES OF DATA INTEGRATION) C
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Class Notes Today: Recursion vs. Iteration October 16, 2006 On a different subject, here we explore the relationship between recursion and iteration, using as an example the simple problem of finding the maximum of an array. This case is a particu
School: UCSD
Course: Theory Of Computation
Discussion board: We will be using Piazza for class discussion, posting important announcements, distributing assignments, etc. Sign up for the class on piazza clicking here and following the instructions.
School: UCSD
Course: Mathematics For Algorithm And Systems Analysis
CSE 21 Study Guide Disclaimer: Doing all these problems will not guarantee you an A. I do not write the nal, and I do not know what will be on it. However, I have tried to cover the basics. So, if you can do all of these without any help from the book, yo
School: UCSD
Course: Theory Of Computation
Theory of Computation - CSE 105 Computability Study Guide Chapter 3: The ChurchTuring Thesis 1. Exercises: 3, 6, 7, 8 - Page 147. 2. Problems: 9-15, 19, Page 149. Chapter 4: Decidability Problems: 10-22, Page 16970. Chapter 5: Reducibility 1. Prob
School: UCSD
University of California, San Diego Department of Computer Science and Engineering CSE 3 Fluency with Information Technolgy Wtr 2014 Lecture: MWF noon-12:50pm WLH 2005 Instructor: Office: Office Hours: Email: Susan Marx EBU-3B Room 2206 (CSE bldg across f
School: UCSD
Course: Advanced Data Structures
CSE 100 Advanced data structures Data structures lay at the very core of effective software engineering. The use of an appropriate structure to solve the problem at hand is the true difference between a software engineer and a programmer/hacker. In the re
School: UCSD
Course: Intro Discrete Mathematics
Welcome to CSE 20 Discrete Mathematics Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: 2-3pm Wednesdays TA: Sat Garcia Email: sat@cs.ucsd.edu* Office Hours: 4-5pm Mondays * Questions: All non-confidential questions should be posted
School: UCSD
CSE 8B: Introduction to Computer Science: Java Winter 2009 Course Basics (additional IMPORTANT information is on the class web page. READ IT!) Instructor: Office: Phone: Email: Office Hours: Dr. Beth Simon (call me "Beth" or "Dr. Simon") CSE 4104 858
School: UCSD
Course: Advanced Data Structures
Course URL: http:/www.cse.ucsd.edu/classes/fa08/cse100/ Welcome to CSE 100 Data Structures Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: Th 12:20p 2:00p in CSE 3254 TA: Brian McFee Email: bmcfee@cs.ucsd.edu* Office Hours: TBA *
School: UCSD
Course: Discrete Mathmatics
Welcome to CSE 20 Discrete Mathematics Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: 2-3pm Wednesdays TA: Sat Garcia Email: sat@cs.ucsd.edu* Office Hours: 4-5pm Mondays * Questions: All non-confidential questions should be posted
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 5 Instructor: Daniele Micciancio Due on: Wed. Nov 10, 2010 Problem 1 Let BIGGER be the set of all strings over the alphabet cfw_0, 1, > of the form x > y , where x and y are binary n
School: UCSD
Midterm Examination #1 CSE 100 (practice) RULES: 1. Dont start the exam until the instructor says to. 2. This is a closed-book, closed-notes, no-calculator exam. Dont refer to any materials other than the exam itself. 3. Write your name, and your login na
School: UCSD
Course: Intro Modern Cryptography
Computer Science and Engineering, UCSD CSE 107: Introduction to Modern Cryptography Problem Set 1 Solutions Fall 10 Instructor: Mihir Bellare October 4, 2010 Problem Set 1 Solutions Problem 2. [30 points] The ciphertext QFL HCVPS PX V ANSWLCEZK NCJVS; PQ
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 2 Due on: May 2, 2012 Instructor: Kamalika Chaudhuri Instructions This is a 20 point homework. Problems 1 and 2 are worth 5 points each; Problem 3 is worth 10 points. Problem 1 Draw ID3 de
School: UCSD
CSE120 Midterm Exam Fall 2010 Name:_ University of California, San Diego Department of Computer Science of Engineering Midterm Examination 1 CSE120 Operating System Principals Spring, 2011 9:30-10:50am, May 2nd Print your name and ID number neatly in the
School: UCSD
Course: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework II Solve the following problems. Consult the style guide for writing solutions. Each problem is worth 10 points. Problem 1: Finding the k th Smallest Element You are given two sorted lists of size m and n. Give an O(log m + lo
School: UCSD
Course: Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 4 Solutions Spring 11 Instructor: Mihir Bellare May 4, 2011 Problem Set 4 Solutions Problem 1. [30 points] Let E : cfw_0, 1k cfw_0, 1l cfw_0, 1l be a block cipher. Let D be th
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 0 Due on: April 11 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 2 Due on: April 25 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 2 Out: Tue Jan 22 Due: Tue Jan 29 Reading: Russell & Norvig, Chapter 14; Korb & Nicholson, Chapter 2. 2.1 Probabilistic reasoning A patient is known to have contracted a rare disease which comes in two forms, represented by the values
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 1 Due on: April 18, 2012 Instructor: Kamalika Chaudhuri Problem 1 Let u1 , . . . , uk be k vectors such that for each i, ui = 1, and ui , uj = 0 for all i = j . For any vector x, we dene P
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 2 Instructor: Daniele Micciancio Due on: Wed. Oct 13, 2010 Guidelines: Same as for homework 1. Solutions to the homework should be submitted electronically using turnin, and you shou
School: UCSD
Course: Algorithm Design And Analysis
CSE 202 Spring 2010 Solution Set 1 7 April 2010 Chapter 1, Problem 1: The statement is false, which is evident due to the following counterexample with 2 men (m1 and m2 ) and 2 women (w1 and w2 ). The preferences are as follows: m1 prefers w1 to w2 , m2 p
School: UCSD
Course: Theory Of Computation
Theory of Computation - CSE 105 Half-Language Solution for Problem 1.42 Idea: Sine is regular, Let be a DFA recognizing . The idea for recognizing is the following: We are given a string and we need to check if there is a string of equal
School: UCSD
Course: Intro Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 4 Solutions Fa12 Instructor: Mihir Bellare October 29, 2012 Problem Set 4 Solutions Problem 1. [30 points] Let E : cfw_0, 1k cfw_0, 1l cfw_0, 1l be a block cipher. Let D be th
School: UCSD
Course: Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 5 Solutions Spring 11 Instructor: Mihir Bellare May 11, 2011 Problem Set 5 Solutions Problem 1. [50 points] Let G = g b e a cyclic group of order m, and let k = log2 (m) . The
School: UCSD
Course: Modern Cryptography
Writing 4A The Critical Essay: Literature and the Arts Week 1 Sunday, July 17 Introductions/Class rules/ Plagiarism Contract/ Student and Teacher expectations Monday, July 18 Morning: Writing Diagnostic Read Alice Walker, Everyday Use Talk about story and
School: UCSD
Course: Database Systems Principles
List at lowest All sailor.rating >= s.rating Need domain calculus for qbe cfw_s: name | for all s in sailor [s.rating >= t.rating] If no need for a, create some E a that is actor in movie(t,d,a) but you want t,d don't need a, just make a random a Create v
School: UCSD
Algorithms - CSE 202 Mathematical Preliminaries and Introductory Problems Writing Style: We suggest the following steps in writing up your solutions, when they are applicable. For a detailed writing style guidelines, please consult http:/cseweb.ucsd.edu/
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 3 Instructor: Daniele Micciancio Due on: Wed. Oct. 20, 2010 Problem 1 Let L be the set of all strings (over the alphabet cfw_0, 1, +, =) of the form x + y = z , where x, y and z are
School: UCSD
School: UCSD
Lab Assignment 4 Carry Look-ahead Adder/Subtractor and Hazard Free Design Due February 28, Thursday, 1:00pm Introduction: This lab assignment consists of two parts: (1) Implementation of a carry look-ahead excess-3 adder/subtractor, and (2) Hazard an
School: UCSD
CSE 21 - Winter 2012 Homework #3 Homework 3 Solutions 3.1 In how many ways can a hand with 6 cards (from an ordinary deck of 52 cards) be made up of 3 pairs? (Note: a pair means two cards with the same value but different suits. We should assume that the
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 2 Due on: April 25 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 1 Due on: April 18 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 0 Due on: April 11 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 1 Spring 11 Instructor: Mihir Bellare March 28, 2011 Problem Set 1 Due: Wednesday April 6, 2011, in class. Problem 1. [30 points] Let K be a 56-bit DES key, let L be a 64-bit
School: UCSD
Course: Introduction To The Theory Of Computation
CSE 105: Automata and Computability Theory Winter 2011 Homework #5 Due: Tuesday, March 1st, 2011 Problem 1 Let COMPLDFA be the language A, B A and B are DFAs over the same alphabet and L(A) = L(B ) . (Notice the complementation bar over L(B ) above!) Show
School: UCSD
Course: Intro. To Theory Of Computation
CSE105 Homework Number 1 SOLUTIONS October 6, 2010 Guidelines: solutions to the homework should be submitted electronically, following the instructions on the class website. As part of your solutions to this assignment you should submit: 1. A le with the
School: UCSD
Fall 2005 1 Homeworks Review Tri Le Homework Review ASSIGNMENT 2: STACK Data structure of STACK: - a container object that is defined by behavior: o Last In, First Out (LIFO) o First In, Last Out (FILO) - Basic operation: o Push: insert into the s
School: UCSD
Course: Intro Computer Science Java
Student ID _ cs8w _ Name _ Signature _ CSE 8A Final Winter 2011 Page 1 _ (13 points) Page 2 _ (14 points) Page 3 _ (16 points) Page 4 _ (20 points) Page 5 _ (8 points) Page 6 _ (19 points) Page 7 _ (24 points) Page 8 _ (15 points) Page 9 _ (20 points) Pag
School: UCSD
Course: Database Systems Principles
Homework 2 CSE 132A Due by noon on Monday, Dec. 8, by sliding under Alins oce door. Problem 2[20pts] Suppose that a B + tree index on (branch-name, branchcity) is available on relation branch. What would be the best way to handle the following selection?
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 3 Instructor: Kamalika Chaudhuri Due on: May 17, 2012 Instructions This is a 20 point homework. Each problem is worth 5 points. Problem 4 is a programming assignment. For this problem, yo
School: UCSD
Lab 2 Part 1: 2's complement Booth's Multiplication Build a 11-bit two's complement multiplier using Booth's algorithm. Part 2: Equivalence Checking Decide whether the function pairs are equivalent or not by implementing these functions and applyi
School: UCSD
University of California, San Diego Department of Computer Science and Engineering CSE 3 Fluency with Information Technolgy Wtr 2014 Lecture: MWF noon-12:50pm WLH 2005 Instructor: Office: Office Hours: Email: Susan Marx EBU-3B Room 2206 (CSE bldg across f
School: UCSD
Course: Cse202
This page intentionally left blank Acquisitions Editor: Matt Goldstein Project Editor: Maite Suarez-Rivas Production Supervisor: Marilyn Lloyd Marketing Manager: Michelle Brown Marketing Coordinator: Jake Zavracky Project Management: Windfall Software Com
School: UCSD
Course: Computer Organization And Systems Programming
Programming Assignment One: PA1 Programming Assignment One: PA1 Due Wednesday night, January 30 @ 11:59pm) The purpose of this assignment is to build your knowledge of using SPARC assembly language especially branching and looping logic, calling ass
School: UCSD
Course: Computer Organization And Systems Programming
Programming Assignment Two: PA2 Programming Assignment Two: PA2 Due Wednesday night, February 13 @ 11:59 p.m. For this assignment you will build a BCD (Binary Coded Decimal) clock simulator. BCD is a way to represent decimal digits (0-9) in 4 bits (
School: UCSD
Course: Theory Of Computation
CSE 105 HW#1 Problem Solving 1) (a) In this simple task, we want to end with the string ass. (b) (c) 1. Q = cfw_q0, q1, q2, q3 2. = cfw_a, s 3. is described as q0 q1 q2 q3 a q1 q1 q1 q1 4. q0 is the start state 5. F = cfw_q3 2) (a) cfw_w | w starts with 0
School: UCSD
Course: Theory Of Computation
CSE 105 HW#4 Problem 1 (1) Prove that the language MINI-GROWING is context free by drawing a PDA diagram for MINI-GROWING. MINI-GROWING = cfw_ w in cfw_0,$* | w = s1$s2$s3$s4 with s1, . ,s4 in 0* and |s1| < |s2| or |s2| < | s3| or |s3| < |s4| . Zachary Wu
School: UCSD
Course: Theory Of Computation
CSE 105 HW#2 (1) Closure Proof (25 pts) Show that the class of Regular Languages is closed under the operation TYPOS, where TYPOS is defined as follows: TYPOS(A) = cfw_ w | w is obtained by deleting 0 or more characters from some string s in A Example: A
School: UCSD
Course: Theory Of Computation
CSE 105 HW#8 (1) ATM undecidability. (10pts) The use of the proof to show ATM is undecidable is as follows. ATM represents a language that takes in <M,w> where M is a Turing Machine and w is a input that M takes in. Start with another Turing Machine (an i
School: UCSD
Course: Theory Of Computation
CSE 105 HW#3 Problems 1 & 2 Problem-Solving (1) Context-Free Grammar Design (30 pts) G = (V, , R, S) Where V = cfw_ ST, IFS, V, CS, CSI, IS, IF, EL, EI = cfw_ (, ), cfw_, , +, + , -, a, b S = IF R= ST -> IF IFS cfw_IS EI IFS cfw_IS EL cfw_IS | IF IFS c
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 15 May 21st, 2014 Todays Topics 1. Profiling 2 Reasons for Diagnostic Output Tracing Timing Profiling Logging Error repor
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 17 June 2nd, 2014 Software Techniques Software version control Creating good tests Automating builds and tests Strategies
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 16 May 28th, 2014 Todays Topics 1. 2. 3. 4. Review of diagnostic output Disabling logging Unix time command Reporting bug
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 12 May 12th, 2014 Todays Topics 1. XML 2. Ant 2 An Introduction to XML (slides based on PRINCIPLES OF DATA INTEGRATION) C
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 13 May 14th, 2014 Todays Topics 1. Diagnostic output 2 Diagnostic Output from Programs So far we have concentrated on un
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 14 May 19th, 2014 Todays Topics 1. More diagnosSc ou
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 11 May 5th, 2014 Todays Topics 1. Midterm review 2 Key elements of the software development pipeline Software Development
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 3 April 7th, 2014 Todays Topics 1. Integrated Develop
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 10 April 30th, 2014 Todays Topics 1. Shell scripRng
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 9 April 28th, 2014 Todays Topics 1. Chmod command 2. Shell scripting programming constructs Shell variables and operator
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 2 April 2nd, 2014 Todays Topics 1. So*ware version
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 8 April 23rd, 2014 Todays Topics 1. IntroducSon to s
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 7 April 21st, 2014 Todays Topics 1. Introduction to debugging 2. Scientific method of debugging 2 Debugging Software sho
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 6 April 16th, 2014 Todays Topics 1. More vi 2. So*w
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 5 April 14th, 2014 Todays Topics 1. IntroducQon to U
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 4 April 9th, 2014 Todays Topics 1. Eclipse in acRon
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 1 March 31st, 2014 Todays Topics 1. IntroducSons:
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Class Notes The Master Theorem, and how (not) to use it October 25, 2006 Master Theorem (from last time) n T (n) = aT ( ) + (nk ) b with b > 1, k 0, the solution will fall into one of three classes: 1. Top-heavy: If the algorithm is top-heavy (i.e
School: UCSD
Course: Design & Analysis Of Algorithm
Design and Analysis of Algorithms CSE 101 Basic Information: Spring, 2014 Instructor: Russell Impagliazzo Class: Monday and Wednesday, Peterson 108 , 5:00 - 6:20 Mandatory discussion section: Wednesday 4-5; 101 Professor Oce Hours : Monday, 12:10-2:00 and
School: UCSD
Course: Theory Of Computation
CSE 105: Introduction to the Theory of Computation Winter 2014 Lecture Notes: A nonregular language Instructor: Daniele Micciancio UCSD CSE This lecture notes are provided as a supplement to the textbook. In the textbook you have read about the pumping le
School: UCSD
Course: Design & Analysis Of Algorithm
Design and Analysis of Algorithms: Course Notes Prepared by Samir Khuller Dept. of Computer Science University of Maryland College Park, MD 20742 samir@cs.umd.edu (301) 405 6765 August 14, 2003 Preface These are my lecture notes from CMSC 651: Design and
School: UCSD
Course: Design & Analysis Of Algorithm
Lecture Notes for Algorithm Analysis and Design Sandeep Sen1 November 6, 2013 1 Department of Computer Science and Engineering, IIT Delhi, New Delhi 110016, India. E-mail:ssen@cse.iitd.ernet.in Contents 1 Model and Analysis 1.1 Computing Fibonacci numbers
School: UCSD
Course: Design & Analysis Of Algorithm
CMSC 451 Design and Analysis of Computer Algorithms1 David M. Mount Department of Computer Science University of Maryland Fall 2003 1 Copyright, David M. Mount, 2004, Dept. of Computer Science, University of Maryland, College Park, MD, 20742. These lectur
School: UCSD
Course: Design & Analysis Of Algorithm
Some introductory notes on Design and Analysis of Algorithms Venkatesh Raman The Institute of Mathematical Sciences C. I. T. Campus Chennai - 600 113. email: vraman@imsc.res.in 1 Introduction to Algorithm Design and Analysis 1.1 Introduction An algorithm
School: UCSD
Course: Advanced Data Structures
Lecture 18 Self-organizing data structures: lists, splay trees Data structures for multidimensional data: K-D trees Final review Reading: Weiss, Ch. 4 and Ch. 12 CSE 100, UCSD: LEC 18 Page 1 of 24 Self-organizing data structures The path-compression f
School: UCSD
Course: Advanced Data Structures
Lecture 16 Hashing Hash table and hash function design Hash functions for integers and strings Collision resolution strategies: linear probing, double hashing, random hashing, separate chaining Hash table cost functions Map ADT Reading: Weiss Ch. 5 CSE
School: UCSD
Course: Advanced Data Structures
Lecture 17 Simple vs. more sophisticated algorithm cost analysis The cost of accessing memory B-trees B-tree performance analysis B-tree find, insert, and delete operations B-tree example: a 2-3 tree Reading: Weiss, Ch. 4 section 7 CSE 100, UCSD: LEC 17 P
School: UCSD
Course: Advanced Data Structures
Lecture 15 Radix search Digital search trees Multiway tries Ternary tries CSE 100, UCSD: LEC 15 Page 1 of 39 Whole-key search Consider the usual find operation in a linked list Nodes in the list hold keys The key you are looking for is compared to
School: UCSD
Course: Advanced Data Structures
Lecture 12 Algorithms on graphs Breadth first, depth first searches Shortest path in unweighted graphs Greedy algorithms Djikstras algorithm for shortest path in weighted graphs Reading: Weiss, Chapter 9, 10 CSE 100, UCSD: LEC 12 Page 1 of 35 Shortest pat
School: UCSD
Course: Advanced Data Structures
Lecture 13 Connectedness in graphs Spanning trees in graphs Finding a minimal spanning tree Time costs of graph problems and NP-completeness Finding a minimal spanning tree: Prims and Kruskals algorithms Intro to disjoint subsets and union/find Reading: W
School: UCSD
Course: Advanced Data Structures
Lecture 14 An application of disjoint subsets Disjoint subset structures and union/find algorithms Union-by-size and union-by-height Find with path compression Amortized cost analysis Reading: Weiss, Ch. 8 CSE 100, UCSD: LEC 14 Page 1 of 24 Computing with
School: UCSD
Course: Advanced Data Structures
Lecture 9 Time and space cost analysis of Huffman coding Huffman coding tree implementation issues Priority queues and priority queue implementations Heaps Dynamic data and array representations for Huffman trees Reading: Weiss Ch. 6, Ch. 10.1.2 CSE
School: UCSD
Course: Advanced Data Structures
Lecture 10 C+ I/O Some useful classes in <iostream> I/O buffering Bit-by-bit I/O Reading: online documentation on C+ streams CSE 100, UCSD: LEC 10 Page 1 of 23 A quick tour of the C+ I/O classes The C+ standard library defines classes used for I/O W
School: UCSD
Course: Advanced Data Structures
Lecture 11 Graphs Vertices, edges, paths, cycles Sparse and dense graphs Representations: adjacency matrices and adjacency lists Reading: Weiss, Chapter 9 CSE 100, UCSD: LEC 11 Page 1 of 12 Kinds of data structures You are familiar with these kinds of da
School: UCSD
Course: Advanced Data Structures
Lecture 8 Trees for representation Tries, decision and classification trees, discrimination nets Huffman coding Reading: Weiss, Ch 10 CSE 100, UCSD: LEC 8 Page 1 of 26 20 questions Suppose youre playing the game of 20 questions for famous people The
School: UCSD
Course: Advanced Data Structures
Lecture 2 An introduction to C+ Comparisons of Java to C+ Basic C+ programming C+ primitive types and operators Arrays, pointers and pointer arithmetic The interface/implementation distinction in C+ C+ class templates Reading: Weiss Ch 1 CSE 100, UCSD: LE
School: UCSD
Course: Advanced Data Structures
Lecture 7 Red-black trees Red-black tree properties Insert in red-black trees: rotations and recolorings Readings: Weiss, Ch. 12 section 2 CSE 100, UCSD: LEC 7 Page 1 of 34 Red-Black trees A balanced binary search tree approach introduced by Guibas an
School: UCSD
Course: Advanced Data Structures
Lecture 5 Treaps Find, insert, delete, split, and join in treaps Randomized search trees Randomized search tree time costs Reading: Randomized Search Trees by Aragon & Seidel, Algorithmica 1996, http:/sims.berkeley.edu/~aragon/pubs/rst96.pdf; Weiss, Chapt
School: UCSD
Course: Advanced Data Structures
Lecture 4 Binary search tree average cost analysis The importance of being balanced AVL trees and AVL rotations Insert in AVL trees Reading: Weiss Ch 4, sections 1-4 CSE 100, UCSD: LEC 4 Page 1 of 39 Best, worst, and average case time costs in data struct
School: UCSD
Course: Advanced Data Structures
CSE 100 Advanced Data Structures Overview of course requirements Outline of CSE 100 topics Review of trees Helpful hints for team programming Information about computer accounts CSE 100, UCSD: LEC 1 Page 1 of 25 CSE 100 web pages All information rel
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Class Notes October 13, 2006 Today: Improving Iterative Algorithms Preprocessing Restructuring Data structures (i.e. heaps) Example: Sorting Aside: Why do we care about sorting? First, sorting is an important task in itself. Second, we have to so
School: UCSD
Course: Design & Analysis Of Algorithm
vx u v v u Xjfgyvjkky@"r& @( e f vx u v v v l v uexl f~ x lx k x u x vx i fl u e D'Xjfgyvjyokxok3hX"tytgx oDwmm"dgzgtt|Gyxgjfgxomrr DzD f p f h l v s x u x k i h fe x v i~ uxl h f u h x u k k vhX"xxvDjnyy"givo"DgxxgojtDgm"DrD33hzt7yyv l u k k i f x s v i
School: UCSD
Midterm Examination #1 CSE 100 (practice) RULES: 1. Dont start the exam until the instructor says to. 2. This is a closed-book, closed-notes, no-calculator exam. Dont refer to any materials other than the exam itself. 3. Write your name, and your login na
School: UCSD
CSE120 Midterm Exam Fall 2010 Name:_ University of California, San Diego Department of Computer Science of Engineering Midterm Examination 1 CSE120 Operating System Principals Spring, 2011 9:30-10:50am, May 2nd Print your name and ID number neatly in the
School: UCSD
School: UCSD
Course: Intro Computer Science Java
Student ID _ cs8w _ Name _ Signature _ CSE 8A Final Winter 2011 Page 1 _ (13 points) Page 2 _ (14 points) Page 3 _ (16 points) Page 4 _ (20 points) Page 5 _ (8 points) Page 6 _ (19 points) Page 7 _ (24 points) Page 8 _ (15 points) Page 9 _ (20 points) Pag
School: UCSD
School: UCSD
Course: Components And Design Techniques For Digital Systems
Math 183 Example Midterm Questions Directions: These are examples of the types of questions that will be on the exam. The actual exam will consist of 5 questions, each one similar in style to one of the problems below. You do not need to evaluate factoria
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Sample Quiz 1, Spring, 2014 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Order questions- 10 p
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Quiz 3, Spring, 2013 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Greedy algorithms Below, a g
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Quiz 2, Spring, 2013 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Which version of Dijkstra do
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Quiz 4, Spring, 2013 Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Backtracking and Dynammic Programming For the prob
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 5 Instructor: Daniele Micciancio Due on: Wed. Nov 10, 2010 Problem 1 Let BIGGER be the set of all strings over the alphabet cfw_0, 1, > of the form x > y , where x and y are binary n
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 2 Due on: May 2, 2012 Instructor: Kamalika Chaudhuri Instructions This is a 20 point homework. Problems 1 and 2 are worth 5 points each; Problem 3 is worth 10 points. Problem 1 Draw ID3 de
School: UCSD
Course: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework II Solve the following problems. Consult the style guide for writing solutions. Each problem is worth 10 points. Problem 1: Finding the k th Smallest Element You are given two sorted lists of size m and n. Give an O(log m + lo
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 0 Due on: April 11 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 2 Due on: April 25 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 2 Out: Tue Jan 22 Due: Tue Jan 29 Reading: Russell & Norvig, Chapter 14; Korb & Nicholson, Chapter 2. 2.1 Probabilistic reasoning A patient is known to have contracted a rare disease which comes in two forms, represented by the values
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 1 Due on: April 18, 2012 Instructor: Kamalika Chaudhuri Problem 1 Let u1 , . . . , uk be k vectors such that for each i, ui = 1, and ui , uj = 0 for all i = j . For any vector x, we dene P
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 2 Instructor: Daniele Micciancio Due on: Wed. Oct 13, 2010 Guidelines: Same as for homework 1. Solutions to the homework should be submitted electronically using turnin, and you shou
School: UCSD
Course: Theory Of Computation
Theory of Computation - CSE 105 Half-Language Solution for Problem 1.42 Idea: Sine is regular, Let be a DFA recognizing . The idea for recognizing is the following: We are given a string and we need to check if there is a string of equal
School: UCSD
Course: Intro. To Theory Of Computation
CSE 105: Introduction to the Theory of Comptuation Fall 2010 Problem Set 3 Instructor: Daniele Micciancio Due on: Wed. Oct. 20, 2010 Problem 1 Let L be the set of all strings (over the alphabet cfw_0, 1, +, =) of the form x + y = z , where x, y and z are
School: UCSD
CSE 21 - Winter 2012 Homework #3 Homework 3 Solutions 3.1 In how many ways can a hand with 6 cards (from an ordinary deck of 52 cards) be made up of 3 pairs? (Note: a pair means two cards with the same value but different suits. We should assume that the
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 2 Due on: April 25 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 1 Due on: April 18 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Intro To Ai Stats Approach
CSE 151: Introduction to Machine Learning Spring 2013 Problem Set 0 Due on: April 11 Instructor: Kamalika Chaudhuri Instructions This is a 40 point homework. Homeworks will graded based on content and clarity. Please show your work clearly for full cred
School: UCSD
Course: Introduction To The Theory Of Computation
CSE 105: Automata and Computability Theory Winter 2011 Homework #5 Due: Tuesday, March 1st, 2011 Problem 1 Let COMPLDFA be the language A, B A and B are DFAs over the same alphabet and L(A) = L(B ) . (Notice the complementation bar over L(B ) above!) Show
School: UCSD
Course: Intro. To Theory Of Computation
CSE105 Homework Number 1 SOLUTIONS October 6, 2010 Guidelines: solutions to the homework should be submitted electronically, following the instructions on the class website. As part of your solutions to this assignment you should submit: 1. A le with the
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Fall 2005 1 Homeworks Review Tri Le Homework Review ASSIGNMENT 2: STACK Data structure of STACK: - a container object that is defined by behavior: o Last In, First Out (LIFO) o First In, Last Out (FILO) - Basic operation: o Push: insert into the s
School: UCSD
Course: Database Systems Principles
Homework 2 CSE 132A Due by noon on Monday, Dec. 8, by sliding under Alins oce door. Problem 2[20pts] Suppose that a B + tree index on (branch-name, branchcity) is available on relation branch. What would be the best way to handle the following selection?
School: UCSD
CSE 151: Introduction to Machine Learning Spring 2012 Problem Set 3 Instructor: Kamalika Chaudhuri Due on: May 17, 2012 Instructions This is a 20 point homework. Each problem is worth 5 points. Problem 4 is a programming assignment. For this problem, yo
School: UCSD
Course: Computer Organization And Systems Programming
Programming Assignment One: PA1 Programming Assignment One: PA1 Due Wednesday night, January 30 @ 11:59pm) The purpose of this assignment is to build your knowledge of using SPARC assembly language especially branching and looping logic, calling ass
School: UCSD
Course: Computer Organization And Systems Programming
Programming Assignment Two: PA2 Programming Assignment Two: PA2 Due Wednesday night, February 13 @ 11:59 p.m. For this assignment you will build a BCD (Binary Coded Decimal) clock simulator. BCD is a way to represent decimal digits (0-9) in 4 bits (
School: UCSD
Course: Theory Of Computation
CSE 105 HW#1 Problem Solving 1) (a) In this simple task, we want to end with the string ass. (b) (c) 1. Q = cfw_q0, q1, q2, q3 2. = cfw_a, s 3. is described as q0 q1 q2 q3 a q1 q1 q1 q1 4. q0 is the start state 5. F = cfw_q3 2) (a) cfw_w | w starts with 0
School: UCSD
Course: Theory Of Computation
CSE 105 HW#4 Problem 1 (1) Prove that the language MINI-GROWING is context free by drawing a PDA diagram for MINI-GROWING. MINI-GROWING = cfw_ w in cfw_0,$* | w = s1$s2$s3$s4 with s1, . ,s4 in 0* and |s1| < |s2| or |s2| < | s3| or |s3| < |s4| . Zachary Wu
School: UCSD
Course: Theory Of Computation
CSE 105 HW#2 (1) Closure Proof (25 pts) Show that the class of Regular Languages is closed under the operation TYPOS, where TYPOS is defined as follows: TYPOS(A) = cfw_ w | w is obtained by deleting 0 or more characters from some string s in A Example: A
School: UCSD
Course: Theory Of Computation
CSE 105 HW#8 (1) ATM undecidability. (10pts) The use of the proof to show ATM is undecidable is as follows. ATM represents a language that takes in <M,w> where M is a Turing Machine and w is a input that M takes in. Start with another Turing Machine (an i
School: UCSD
Course: Theory Of Computation
CSE 105 HW#3 Problems 1 & 2 Problem-Solving (1) Context-Free Grammar Design (30 pts) G = (V, , R, S) Where V = cfw_ ST, IFS, V, CS, CSI, IS, IF, EL, EI = cfw_ (, ), cfw_, , +, + , -, a, b S = IF R= ST -> IF IFS cfw_IS EI IFS cfw_IS EL cfw_IS | IF IFS c
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE 140 Homework One January 12, 2014 Only Problem Set Part B will be graded. Turn in only Problem Set Part B which will be due on January 28, 2014 (Tuesday) at 4:00pm. 1 Problem Set Part A Roth&Kinney, 6th Ed: 1.1 Roth&Kinney, 6th Ed: 1.4 Roth&Kinney,
School: UCSD
Course: Components And Design Techniques For Digital Systems
Exercise 6 Solution I. Ans: Given input A[3:0], B[3:0], and Cin , the result S[3:0] and the carry out Cout of the 4-bit carry-lookahead adder can be represented as follows. S[i] = A[i] B[i] C[i 1] 0 i 3, where C[1] is Cin . In the carry-lookahead adder, t
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE 140 Homework 5 Solutions I. 1. The state table is as follows: PS 00 01 10 11 Q1(t)Q0(t) X=0 00, 1 10, 1 01, 0 11, 1 X=1 10, 1 01, 1 10, 0 01, 1 Q1(t+1)Q0(t+1), Y Let the state assignment be as follows: S0=00, S1=01, S2=10, S3=11 The state table will t
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Exercise 4 Solutions (I) (FSM Specication) The state equations are given by: Q0 (t + 1) = Q1 (t) + Q0 (t), Q1 (t + 1) = XQ1 (t), Q(t) = Q1 (t) + Q0 (t), where Q0 and Q1 are the outputs of the rst and the second ipop respectively. (a) State transiti
School: UCSD
Course: Components And Design Techniques For Digital Systems
Homework#3 Solution 1. Universal set of gates i. cfw_AND, NOT Ans: Yes. OR function can be implemented with the above two because a+b = (ab) ii. cfw_NOR i.e. y=(a+b) Ans: Yes. a. Put b=0 => y=a => NOT gate b. (a+b)=a+b (NOT can be implemented as shown abo
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Exercise 6, No due date (I) Adders: Design a 4-bit carry-lookahead adder. Show your schematic diagram. (II) Adders: Follow the topology of the prex adder schematic in lecture note 14, page 27. (1). From output 4, we can trace a binary tree that cov
School: UCSD
Course: Components And Design Techniques For Digital Systems
Homework#2 Solutions 1. Boolean expression of a. Shifter: y1=E(sdx2 + sx1 + sdx0) = E(s(dx2 + x1) + sdx0) b. Full-adder: si = abc+abc+abc+abc ci = ab+(ab+ab)c c. Priority encoder: c0=c1 + x3 + x2 + x1 + x0 z3 = c1x3 z2 = c1x3x2 z1 = c1x3x2x1 z0 = c1x3x2x1
School: UCSD
Course: Components And Design Techniques For Digital Systems
Homework 1 Solution 1 (a) Exercise 2.26 (b) Exercise 2.27 Figure 1: Question 1 Ans: We pushed bubbles toward inputs. (a) Exercise 2.26 (b) Exercise 2.27 Figure 2: Solution Boolean equations: Exercise 2.26: Y Exercise 2.27: Y = (A + B )(C + D ) + E = (ABC
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Exercise 4 (No due date) (I) (FSM Specication) Exercise 3.31: Analyze the circuit in Figure 3.72. (a) Write the state transition table. (b) Sketch the state diagram. (c) Describe in words what the nite state machine does. (II) (FSM Specication) Exe
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Homework 5, Due Wednesday 11/28/2012 (I) A state machine is described by the following state equations. Q1 (t + 1) = Q0 (t) x(t), Q0 (t + 1) = Q1 (t)x (t) + Q0 (t)x(t), y(t) = Q1 (t) + Q0 (t). 1. Write the state table. 2. Design the system with two
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Fall 2012 Homework 2. Due Wed 10/17 before the class. 1. Simulation 1.1. Write the Boolean expression of the following schematic diagrams. 1.2. Write the truth table of the following schematic diagrams. shifter: full-adder: priority-encoder: 2. Sha
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Fall 2012 Homework 3. Due Wed 11/7 before the class. 1. Universal Set of Gates: Check if the set in the following list is universal and explain your decision. Assuming constants 0 and 1 are available as inputs. i. cfw_AND, NOT ii. cfw_NOR iii. cfw_
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE140 Fall 2012 Homework 1. Due Wed 10/10 before the class. 1. Bubble Pushing 1.1. Exercise 2.26 in textbook H2. 1.2. Exercise 2.27 in textbook H2. 2. Consensus Theorem 2.1. Prove the following using Boolean algebra ab + bcd + acd = ab + bcd. 2.2. Prove
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Sample Quiz 2, Spring, 2014 Answer Key Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Which vers
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Sample Quiz 1, Spring, 2014 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Order questions- 10 p
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Quiz 2, Spring, 2013 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Which version of Dijkstra do
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 6 Spring, 2014, Due Wed. June 4 Back-tracking and Dynamic Programming 100 points total Back-tracking: Hamiltonian path Consider the following algorithm for deciding whether a graph has a Hamiltonian Path from x to y, i.e., a simple path i
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Practice Quiz 1, Spring, 2013 Answer all questions. Give informal (at least) proofs for all answers. Grading will be on completeness and logical correctness, and if applicable, eciency, as well as correctness. Out of 80 points. Order questions- 10
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 3 Due Wed. April 23 Dijkstras algorithm Speeding up algorithms with restructuring, preprocessing and data structures. 100 points total % Top k in array Give an O(n log k) time algorithm to nd the k largest elements in an unsorted array A[
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 5 Spring, 2014, Due Monday , May 19 Divide-and-Conquer 100 points total Binary Conversion The following recursive algorithm uses the divide and conquer method to convert an n bit binary integer xn1 .x0 into decimal. It uses the O(nlog2 3
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 4 Greedy Algorithms Due Monday, May 5 Directions: For each of the rst three problems, two high level greedy strategies are given. One of the strategies gives a correct (optimal) solution, and for others, it sometimes gives incorrect (subo
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 2 Spring 2013 Algorithm analysis, correctness proofs, Graph representations, graph search Due Wednesday, April 16 100 points total Invariants The following algorithm, given a (not necessarily sorted) array of positive integers, A[1.n], nd
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 8 and Quiz 4 answer key Dynammic Programming Due Thursday, June 6 Hamiltonian path Consider the following algorithm for deciding whether a graph has a Hamiltonian Path from x to y, i.e., a simple path in the graph from x to y going throug
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 4 Greedy Algorithms Due Monday, May 5 Directions: For each of the rst three problems, two high level greedy strategies are given. One of the strategies gives a correct (optimal) solution, and for others, it sometimes gives incorrect (subo
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 First Homework (Homework 1) Spring 2013 Background, (Order and Recurrence Relations, simple algorithms) Due Monday, April 7 100 points total Say that, on an input of size n 1, an algorithm calls itself recursively on an input of size n 1 and other
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 3 Due Wed. April 23 Dijkstras algorithm Speeding up algorithms with restructuring, preprocessing and data structures. 100 points total % Top k in array Give an O(n log k) time algorithm to nd the k largest elements in an unsorted array A[
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 5 Spring, 2014, Due Monday , May 19 Divide-and-Conquer 100 points total Base conversion: 20 points Give an ecient algorithm to convert integers from base 3 to binary. Your algorithm should be better than the O(n2 ) method ala the calibrat
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 2 Spring 2013 Algorithm analysis, correctness proofs, Graph representations, graph search Due Wednesday, April 16 100 points total Invariants The following algorithm, given a (not necessarily sorted) array of positive integers, A[1.n], nd
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Course: Design & Analysis Of Algorithm
CSE 101 Calibration Homework Spring, 2014 Background, (Order and Recurrence Relations, simple algorithms), MergeSort 100 points total, DOES NOT COUNT TOWARDS GRADE Answer Key Say that, on an input of size n 1, an algorithm calls itself recursively on an i
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
Lab Assignment 4 Carry Look-ahead Adder/Subtractor and Hazard Free Design Due February 28, Thursday, 1:00pm Introduction: This lab assignment consists of two parts: (1) Implementation of a carry look-ahead excess-3 adder/subtractor, and (2) Hazard an
School: UCSD
Lab 2 Part 1: 2's complement Booth's Multiplication Build a 11-bit two's complement multiplier using Booth's algorithm. Part 2: Equivalence Checking Decide whether the function pairs are equivalent or not by implementing these functions and applyi
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 15 May 21st, 2014 Todays Topics 1. Profiling 2 Reasons for Diagnostic Output Tracing Timing Profiling Logging Error repor
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 17 June 2nd, 2014 Software Techniques Software version control Creating good tests Automating builds and tests Strategies
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 16 May 28th, 2014 Todays Topics 1. 2. 3. 4. Review of diagnostic output Disabling logging Unix time command Reporting bug
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 12 May 12th, 2014 Todays Topics 1. XML 2. Ant 2 An Introduction to XML (slides based on PRINCIPLES OF DATA INTEGRATION) C
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 13 May 14th, 2014 Todays Topics 1. Diagnostic output 2 Diagnostic Output from Programs So far we have concentrated on un
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 14 May 19th, 2014 Todays Topics 1. More diagnosSc ou
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 11 May 5th, 2014 Todays Topics 1. Midterm review 2 Key elements of the software development pipeline Software Development
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 3 April 7th, 2014 Todays Topics 1. Integrated Develop
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Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 10 April 30th, 2014 Todays Topics 1. Shell scripRng
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 9 April 28th, 2014 Todays Topics 1. Chmod command 2. Shell scripting programming constructs Shell variables and operator
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 2 April 2nd, 2014 Todays Topics 1. So*ware version
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 8 April 23rd, 2014 Todays Topics 1. IntroducSon to s
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Spring 2014 - http:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 7 April 21st, 2014 Todays Topics 1. Introduction to debugging 2. Scientific method of debugging 2 Debugging Software sho
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 6 April 16th, 2014 Todays Topics 1. More vi 2. So*w
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 5 April 14th, 2014 Todays Topics 1. IntroducQon to U
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 4 April 9th, 2014 Todays Topics 1. Eclipse in acRon
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Spring 2014 - hBp:/cs15sp2014.weebly.com Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 1 March 31st, 2014 Todays Topics 1. IntroducSons:
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Course: Design & Analysis Of Algorithm
CSE 101 Class Notes Today: Recursion vs. Iteration October 16, 2006 On a different subject, here we explore the relationship between recursion and iteration, using as an example the simple problem of finding the maximum of an array. This case is a particu
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Course: Theory Of Computation
Discussion board: We will be using Piazza for class discussion, posting important announcements, distributing assignments, etc. Sign up for the class on piazza clicking here and following the instructions.
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Course: Mathematics For Algorithm And Systems Analysis
CSE 21 Study Guide Disclaimer: Doing all these problems will not guarantee you an A. I do not write the nal, and I do not know what will be on it. However, I have tried to cover the basics. So, if you can do all of these without any help from the book, yo
School: UCSD
Course: Theory Of Computation
Theory of Computation - CSE 105 Computability Study Guide Chapter 3: The ChurchTuring Thesis 1. Exercises: 3, 6, 7, 8 - Page 147. 2. Problems: 9-15, 19, Page 149. Chapter 4: Decidability Problems: 10-22, Page 16970. Chapter 5: Reducibility 1. Prob
School: UCSD
University of California, San Diego Department of Computer Science and Engineering CSE 3 Fluency with Information Technolgy Wtr 2014 Lecture: MWF noon-12:50pm WLH 2005 Instructor: Office: Office Hours: Email: Susan Marx EBU-3B Room 2206 (CSE bldg across f
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Course: Advanced Data Structures
CSE 100 Advanced data structures Data structures lay at the very core of effective software engineering. The use of an appropriate structure to solve the problem at hand is the true difference between a software engineer and a programmer/hacker. In the re
School: UCSD
Course: Intro Discrete Mathematics
Welcome to CSE 20 Discrete Mathematics Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: 2-3pm Wednesdays TA: Sat Garcia Email: sat@cs.ucsd.edu* Office Hours: 4-5pm Mondays * Questions: All non-confidential questions should be posted
School: UCSD
CSE 8B: Introduction to Computer Science: Java Winter 2009 Course Basics (additional IMPORTANT information is on the class web page. READ IT!) Instructor: Office: Phone: Email: Office Hours: Dr. Beth Simon (call me "Beth" or "Dr. Simon") CSE 4104 858
School: UCSD
Course: Advanced Data Structures
Course URL: http:/www.cse.ucsd.edu/classes/fa08/cse100/ Welcome to CSE 100 Data Structures Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: Th 12:20p 2:00p in CSE 3254 TA: Brian McFee Email: bmcfee@cs.ucsd.edu* Office Hours: TBA *
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Course: Discrete Mathmatics
Welcome to CSE 20 Discrete Mathematics Instructor: Cynthia Lee Email: clbailey@cs.ucsd.edu* Office Hours: 2-3pm Wednesdays TA: Sat Garcia Email: sat@cs.ucsd.edu* Office Hours: 4-5pm Mondays * Questions: All non-confidential questions should be posted
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UNIVERSITY OF CALIFORNIA, SAN DIEGO CHEMISTRY 6AH SYLLABUS Fall Quarter 2006 Honors General Chemistry General Information: Dr. Carl Hoeger York 4030 858-534-6434 choeger@ucsd.edu (NOTE: When sending e-mail, please put 6AH somewhere in subject line)
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Course: Design And Analysis Of Algorithms
CSE 202, Design and Analysis of Algorithms , Fall, 2006 CSE 202, Design and Analysis of Algorithms , Fall, 2006 Instructor: Prof. T.C. Hu Department of Computer Science and Engineering University of California, San Diego La Jolla, CA 92093-0114 Offi
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Course: Advanced Compilers
CSE 231: Advanced Compilers CSE 231: Advanced Compilers Fall Quarter, 2006 General information Meeting times and location: T-Th 5:00-6:20, location: WLH 2207 Instructor: Sorin Lerner (email: lerner at cs, Office hours: by appointment, email m
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Course: Computer Arithmetic Algorithms And Hardware Design
CSE 246: Computer Arithmetic Algorithms and Hardware Design (Fall 06) Lectures: Tues/Thurs 3:30-4:50PM, Warren Lecture Hall 2110 Office Hours: Tues/Thurs 2:00-3:00PM, CSE2130 Course Instructor: CK Cheng Textbook Computer Arithmetic: Algorithms and H
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Course: Biological Data Analysis
CSE 182 Home Page Fall06: CSE/BIMM/BENG 182: Biological Data Analysis Instructor: Vineet Bafna TA: Julio Ng Lectures: TR 2:00-3:20pm. SOLIS 111 Discussion:M3:00-3:50pm. CENTR201 Office hours: Vineet Bafna: TR 3:30-4:30pm EBU3b(CSE building) 4218 TA
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Course: Introduction To Computer Architecture
CSE 141 - Introduction to Computer Architecture CSE 141 - Introduction to Computer Architecture Fall 2006, Instructor: Dean Tullsen Announcements: Here is the hint sheet I will append to the test. This week's discussion section rescheduled to Wednes
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Course: BIOMETRICS
CSE190A CSE190A Topics in CSE: BIOMETRICS Section Id: 570220, Tuesday, Thursday, 3:30pm - 4:50pm HSS 1138 http:/www.cs.ucsd.edu/classes/fa06/cse190-a/ News: 10/2/06: Project description posted 10/3/06: Confirmed that E-reserves are available at htt
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Course: Components And Design Techniques For Digital Systems
CSE 140 Fall 2006 Syllabus CSE 140: Components and Design Techniques for Digital Systems Fall 2006 Syllabus Course Description The objective of this course is to give an introduction to digital logic design. Some topics covered in this class include
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Course: Computer Organization And Systems Programming
CSE 30 Syllabus CSE 30 Syllabus Computer Organization and Systems Programming (Some Assembly Required) Winter 2008 Lectures: Tuesdays &Thursdays 9:30 - 10:50am WLH 2204 Discussion Sections: Mondays: 10:00 - 10:50am - EBU3B 2154 Fridays: 4:00 - 4:50
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Course: Theory Of Computation
CSE 105 - Summer 1999 CSE 105: Theory of Computation - Summer 1999 Instructor Ramamohan Paturi; Office Hours, Wednesdays 12:30-1:30 PM; 4131 AP&M. Lecture Hours Mondays and Wednesdays - 2:00-4:50 PM; Center 212; Class Home Page http:/www-cse.ucsd.ed
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Course: Object Oriented Software Design
CSE 111 - Object Oriented Software Design Announcements The due date for phase 2 of the project is postponed until the day of the final (Thus, Dec 13). Note that your e-materials need to be sent to both the professor and the TA. Instructions for the