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School: UCSD
Course: Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 8 Spring 11 Instructor: Mihir Bellare May 25, 2011 Problem Set 8 Due: Wednesday June 1, 2011, in class. Problem 1. [60 points] In an identity-based, non-interactive key distri
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
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: 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: Mathematics For Algorithm And Systems Analysis
CSE 21: Homework 3 October 12, 2009 Problem 1 In how many ways can 6 people be assigned to 4 nonempty teams? Problem 2 An urn contains 5 red marbles and 6 white marbles. (a) How many ways can 4 marbles be drawn? (b) What if we must have 2 red marbles and
School: UCSD
Course: Digital Design
Lecture 7: UML Class Diagrams CSE 111 01/08/11 Copyright W. Howden 1 Context After completion of the collaboration diagrams, we have identified class objects that will be needed to perform the subsystem responsibilities We now have the classes for our de
School: UCSD
Course: Introduction To Computer Architecture
Instruction Set Architecture What we learned Computer Architecture Review or CSE141's Greatest Hits ISA types ISA formats and tradeoffs addressing modes branch types MIPS ISA CSE 141 Dean Tullsen CSE 141 Dean Tullsen Instruction Set Arc
School: UCSD
3 Fluency/Information Technology(4 units) LE A00 TuTh 12:30p - 1:50p CENTR 115 Kube, Paul Richard DI A01 TBA Kube, Paul Richard 620651 LA A50 F 3:00p - 4:50p EBU3B B270 Kube, Paul Richard 620652 LA A51 Th 3:00p - 4:50p EBU3
School: UCSD
Requirements, Specs, and UI Design CSE 112 Dedication to Tom Smykowski. Todays Agenda Requirements What are they? What is Requirements Analysis? Specs Why bother? Some Challenges Feature vs. Activity Planning Use Cases Demystified UI Design Some Wi
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 1 Notes [January 6, 2015] Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 6 (1) Monday and Wednesday discussion sections are equivalent. You can attend either. Attendance at discussion is strongly recommen
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 3 Notes Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 13 (1) TA OHs are posted Caught up on Piazza as of this morning (?) Discussion session slides from yesterday are posted: DAGs / topological sort, S
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 4 Notes Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 15 (1) Late HW policy: up to one day late, max 50% credit. After one day, solutions will be posted, so no turn-in beyond that point. My OH tomorrow
School: UCSD
Course: Database Systems Principles
CSE 132A Assignment #1 (SQL) Solutions The boat reservations database has the following schema: sailor: sname (string), rating (integer) boat: bname (string), color (string), rating (integer) reservation: sname (string), bname (string), day (string) The r
School: UCSD
Course: Database Systems Principles
.mode columns .headers on create table movie (title, director, actor); create table schedule (theater, title); insert into movie values ('Last Tango', 'Bertolucci', 'Brando'); insert into movie values ('Last Tango', 'Bertolucci', 'Winger'); insert into mo
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: Digital Design
Lecture 7: UML Class Diagrams CSE 111 01/08/11 Copyright W. Howden 1 Context After completion of the collaboration diagrams, we have identified class objects that will be needed to perform the subsystem responsibilities We now have the classes for our de
School: UCSD
Course: Database Systems Principles
1/8/2015 O ut The Relational Model database consists of several tables (relations) columns in each table are named by attributes each attribute has an associated domain (set of allowed values) data in each table consists of a set of rows (tuples) providin
School: UCSD
Course: Database Systems Principles
SQL Data Manipulation Language primarily declarative query language starting point: relational calculus aka first-order predicate logic many additions, bells and whistles corresponding procedural language: relational algebra will discuss relational c
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: Database Systems Principles
SQL Structured Query Language Standard for relational db systems History: Developed at IBM in late 70s First standard: SQL-86 Second standard: SQL-92 Third standard: SQL-99 or SQL3, well over 1000 pages! The nice things about standards is that you have
School: UCSD
Course: Algorithms
CSE 101 Midterm Name: February 7, 2013 Student ID: Question Points 1 10 2 10 3 10 4 10 Total: Score 40 INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your scrat
School: UCSD
Course: Algorithms
CSE101 Midterm February 6, 2014 Name: _Student ID:_ Question 1 2 3 4 5 Total: Points 10 10 10 10 10 50 Score INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your
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: Algorithms
For each edge e of G, we build a graph G' as follows: w(e) = -(|V| - 1) for each edge e' different from e, w(e') = 1 Run ZWC on G' If one run of ZWC returns YES, return YES for RC, otherwise NO. Proof: If a run of RWC returns YES, it means that we have
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
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: Mathematics For Algorithm And Systems Analysis
CSE 21: Homework 3 October 12, 2009 Problem 1 In how many ways can 6 people be assigned to 4 nonempty teams? Problem 2 An urn contains 5 red marbles and 6 white marbles. (a) How many ways can 4 marbles be drawn? (b) What if we must have 2 red marbles and
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 6 Out: Thu Mar 07 Due: Thu Mar 14 Reading: Sutton & Barto, Chapters 1-4. 6.1 CAPE Survey You should have received an email from CAPE asking you to evaluate this course. Please complete the online survey if you have not already done so.
School: UCSD
Course: Introduction To The Theory Of Comptuation
CSE 105: Introduction to the Theory of Comptuation Spring 2012 Solution Set 1 Instructor: Alexander Tsiatas Due on: Wed. April 11, 2012 Problem 1 There are many possibilities here. This is just one example. (a) Suppose you want a DFA that accepts strings
School: UCSD
A LGORITHMS - CSE 101 Homework 2 Due Thursday, January 21st, 8:00 AM. No exceptions! Turn in solutions to problems 2.22 (page 75), 2.25 (page 76), and 2.30 (page 77). Each problem is worth 10 points. We suggest the following steps in writing up your solut
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
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 4 CSE 3, Winter 2015 In this lab we will learn more Microsoft Excel and create an annual budget. A. Annual Budget One of the most common uses of a spreadsheet is to chart financial information. We are going to create an annual budget for your projecte
School: UCSD
Course: Database Systems Principles
.mode columns .headers on create table sailor (sname, rating); create table boat (bname, color, rating); create table reservation (sname, bname, day); insert into sailor values ('Brutus', 1); insert into sailor values ('Andy', 8); insert into sailor value
School: UCSD
Course: Database Systems Principles
Consider the following database schema for a BOOKSTORE database: Books (bookid, title, author, year) Customers (customerid, name, email) Purchases (customerid, bookid, year) Reviews (customerid, bookid, rating) Pricing (bookid, format, price) Given the ab
School: UCSD
Lab 2 CSE 3, Winter 2015 In this lab you will learn about file structures and advanced features of Microsoft Word. You will then work on an HTML calendar to prep yourself for Lab 3. Enabling file extensions in Windows Explorer Windows will hide file exten
School: UCSD
Course: PROBABILITY AND STATISTICS
P (B|A)P (A) P (B) description 6. Bayes Rule: P (A|B) = These pages are a summary of the formulas used in CSE103. You can use this as a basis for your handwritten cheat-sheet. However, you cannot bring a printout of these pages to the nal exam. 7. Conditi
School: UCSD
CSE 112 Discussion 26 Jan 2015 Requirements Gathering Methodologies Req. gathering techniques 1. Ethnographic methods a. Sometimes, the best way to understand is observe users at work b. Study the context of work and watch work being done in users own nat
School: UCSD
Course: Database Systems Principles
CSE 132A Assignment #1 (SQL) Answers on sample data Consider the following instance of the Reservations sailor sname rating boat bname Brutus 1 SpeedQueen Andy 8 Interlake Horatio 7 Marine Rusty 8 Bay Bob 1 reservation sname bname day Andy Interlake Monda
School: UCSD
Course: Advanced Data Structures
CSE 100 Final Exam Study Guide, Fall 2014 CSE Department University of California, San Diego 1 Final Exam The nal exam will cover all the data-structures and algorithms that we have covered during the quarter, including all the readings, class discussions
School: UCSD
Course: Advanced Data Structures
CSE 140 Lecture 14 System Design CK Cheng CSE Dept. UC San Diego 1 Design Process Describe system in programs Data subsystem List data operations Map operations to functional blocks Add interconnect for data transport Input control signals and outpu
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Assignment Set 1 1. Write down the following integers in base 7: (a) 245 (b) 98 (c) 2014 Solution: (a) 500 (b) 200 (c) 5605 2. What is the representation of the number [2402]5 in base 2? Solution: [2402]5 = 2 53 + 4 52 + 0 51 + 2 50 = [352]10 = [1
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
University of California, San Diego Department of Computer Science and Engineering CSE 3 Fluency with Information Technolgy Wtr 2015 Lecture: Instructor: Office: MWF noon-12:50pm Center 115 Office Hours: Email: Email help: Web page: Susan Marx EBU-3B Room
School: UCSD
Syllabus - CSE 8A Fall 2014 10/4/14, 7:31 AM CSE 8A Fall 2014 Welcome to CSE 8A! Assignments, Labs and Schedule Search this site Slides and Resources Tutor Hours Syllabus Syllabus Welcome to CSE 8A! We are excited to have you in this course. In this class
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: Modern Cryptography
Computer Science and Engineering, UCSD CSE 207: Modern Cryptography Problem Set 8 Spring 11 Instructor: Mihir Bellare May 25, 2011 Problem Set 8 Due: Wednesday June 1, 2011, in class. Problem 1. [60 points] In an identity-based, non-interactive key distri
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
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: 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: Mathematics For Algorithm And Systems Analysis
CSE 21: Homework 3 October 12, 2009 Problem 1 In how many ways can 6 people be assigned to 4 nonempty teams? Problem 2 An urn contains 5 red marbles and 6 white marbles. (a) How many ways can 4 marbles be drawn? (b) What if we must have 2 red marbles and
School: UCSD
Course: Digital Design
Lecture 7: UML Class Diagrams CSE 111 01/08/11 Copyright W. Howden 1 Context After completion of the collaboration diagrams, we have identified class objects that will be needed to perform the subsystem responsibilities We now have the classes for our de
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 6 Out: Thu Mar 07 Due: Thu Mar 14 Reading: Sutton & Barto, Chapters 1-4. 6.1 CAPE Survey You should have received an email from CAPE asking you to evaluate this course. Please complete the online survey if you have not already done so.
School: UCSD
Course: Introduction To The Theory Of Comptuation
CSE 105: Introduction to the Theory of Comptuation Spring 2012 Solution Set 1 Instructor: Alexander Tsiatas Due on: Wed. April 11, 2012 Problem 1 There are many possibilities here. This is just one example. (a) Suppose you want a DFA that accepts strings
School: UCSD
Course: Algorithms
CSE 101 Midterm Name: February 7, 2013 Student ID: Question Points 1 10 2 10 3 10 4 10 Total: Score 40 INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your scrat
School: UCSD
A LGORITHMS - CSE 101 Homework 2 Due Thursday, January 21st, 8:00 AM. No exceptions! Turn in solutions to problems 2.22 (page 75), 2.25 (page 76), and 2.30 (page 77). Each problem is worth 10 points. We suggest the following steps in writing up your solut
School: UCSD
Course: Introduction To Computer Architecture
Instruction Set Architecture What we learned Computer Architecture Review or CSE141's Greatest Hits ISA types ISA formats and tradeoffs addressing modes branch types MIPS ISA CSE 141 Dean Tullsen CSE 141 Dean Tullsen Instruction Set Arc
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: Algorithms
CSE101 Midterm February 6, 2014 Name: _Student ID:_ Question 1 2 3 4 5 Total: Points 10 10 10 10 10 50 Score INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your
School: UCSD
Course: Intro Modern Cryptography
Computer Science and Engineering, UCSD CSE 107: Introduction to Modern Cryptography Problem Set 5 Solutions Fall 10 Instructor: Mihir Bellare November 8, 2010 Problem Set 5 Solutions Problem 1. [40 points] Let E : cfw_0, 1k cfw_0, 1l cfw_0, 1l be a secure
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: 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: Algorithms
For each edge e of G, we build a graph G' as follows: w(e) = -(|V| - 1) for each edge e' different from e, w(e') = 1 Run ZWC on G' If one run of ZWC returns YES, return YES for RC, otherwise NO. Proof: If a run of RWC returns YES, it means that we have
School: UCSD
Course: Advanced Algorithm
Homework Two, for Fri 10/12 CSE 101 When specifying an algorithm, please use pseudocode that is simple and unambiguous. Always justify the correctness and running time of the algorithm, unless these are obvious. 1. Here is yet another multiplication algor
School: UCSD
Course: Algorithms
Solutions are boxed in blue. Grading schemes are boxed in yellow UCSD CSE 101, Winter 2011 FINAL EXAM March 17, 2011 Name: Student ID: Please read all of the following information before starting the exam. You have three hours (180 minutes) to work the ex
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
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: Int Artif Intellsearch&reason
NAME:_ LOGIN:_ Signature:_ Computer Science and Engineering 150 Programming Languages for Artificial Intelligence Thursday, May 9, 2007 M I DT E RM E XAM DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO START! Please DO NOT put your name at the top of each pa
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
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: 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: 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
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: 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: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework I Problem 1: (Function Order) 2 Is the function 2lg n polynomially bounded? Is the function log log n ! polynomially bounded? Justify your answers Solution. bounded. The function 2lg 2 n is not polynomially bounded. The functi
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: 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
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: A
CSE 250A. Assignment 1 Out: Tue Sep 28 Due: Tue Oct 05 1.1 Conditioning on background evidence [RN 13.9] It is often useful to consider the impact of specic events in the context of general background evidence, rather than in the absence of information. (
School: UCSD
CSE 202 Homework 2 Solutions 1 Kleinberg & Tardos, problem 26, page 202. Time-varying Minimum Spanning Tree. Connected graph G = (V, E ). Each edge e E has a time-varying edge cost fe = ae t2 + be t + ce such that fe > 0 for all t. Denote n = |V | and
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
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: 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
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
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: 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
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: 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
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: 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: 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
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
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
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: 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
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: 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: Database Systems Principles
1/8/2015 O ut The Relational Model database consists of several tables (relations) columns in each table are named by attributes each attribute has an associated domain (set of allowed values) data in each table consists of a set of rows (tuples) providin
School: UCSD
Course: Database Systems Principles
SQL Data Manipulation Language primarily declarative query language starting point: relational calculus aka first-order predicate logic many additions, bells and whistles corresponding procedural language: relational algebra will discuss relational c
School: UCSD
Course: Introduction To Computer Architecture
Instruction Set Architecture What we learned Computer Architecture Review or CSE141's Greatest Hits ISA types ISA formats and tradeoffs addressing modes branch types MIPS ISA CSE 141 Dean Tullsen CSE 141 Dean Tullsen Instruction Set Arc
School: UCSD
3 Fluency/Information Technology(4 units) LE A00 TuTh 12:30p - 1:50p CENTR 115 Kube, Paul Richard DI A01 TBA Kube, Paul Richard 620651 LA A50 F 3:00p - 4:50p EBU3B B270 Kube, Paul Richard 620652 LA A51 Th 3:00p - 4:50p EBU3
School: UCSD
Requirements, Specs, and UI Design CSE 112 Dedication to Tom Smykowski. Todays Agenda Requirements What are they? What is Requirements Analysis? Specs Why bother? Some Challenges Feature vs. Activity Planning Use Cases Demystified UI Design Some Wi
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 1 Notes [January 6, 2015] Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 6 (1) Monday and Wednesday discussion sections are equivalent. You can attend either. Attendance at discussion is strongly recommen
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 3 Notes Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 13 (1) TA OHs are posted Caught up on Piazza as of this morning (?) Discussion session slides from yesterday are posted: DAGs / topological sort, S
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 4 Notes Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 15 (1) Late HW policy: up to one day late, max 50% credit. After one day, solutions will be posted, so no turn-in beyond that point. My OH tomorrow
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Lecture 2 Notes Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Notes January 8 (1) WeBWorK Quiz #1: Open until Sunday night 11:59 PM with unlimited re-tries. Future quizzes: one try only (90 min). Followup for waitlist: Ive a
School: UCSD
Course: Database Systems Principles
CSE 132A Solutions to Practice Problems on Schema Design 1. We apply the lossless join test. position is: A a a The tableau corresponding to the decomB b b b C c c c D d d After chasing this with respect to F = cfw_B A, C B the last row becomes < a, b, c,
School: UCSD
Course: Database Systems Principles
Join minimization examples Let R be a relation over attributes ABC. (i) Simplify the following conjunctive SQL query, knowing that it is applied only to relations R satisfying the set of FDs F = cfw_AC B, B C, C A (use pattern minimization and the chase):
School: UCSD
Course: Database Systems Principles
How expressive is SQL? Full programming languages can express all computable functions (C, Java, etc) Can SQL express all computable queries? A: YES B: NO How expressive is SQL? flight from to SD LA SD ORD LA NY . Can SQL express the following query: Is t
School: UCSD
Course: Database Systems Principles
Relational Database Design Finding database schemas with good properties Example: Database for information on suppliers, parts supplied, and shipments Information consists of: S#: supplier number SNAME: supplier name SCITY: supplier city P#: part numb
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: Database Systems Principles
Whatwecoveredinthiscourse Coredatabasetopics 1. 2. 3. 4. Therelationalmodel SQLandtuplecalculus Recursivequeries Basicqueryprocessing relationalalgebra SQLjoinminimization 6. SchemadesignwithFDs 7. Concurrencycontrol Whatwedidntcover Coredatabasetopics 1.
School: UCSD
Course: Database Systems Principles
CSE 132A Practice Problems on Relational Algebra 1. The beer drinkers database consists of the following three relations frequents drinker bar serves bar beer likes drinker The rst indicates the bars each drinker frequents, the second tells what beers eac
School: UCSD
Course: Introduction To Computer Architecture
Multiprocessors and Multithreading Jason Mars Sunday, March 3, 13 Parallel Architectures for Executing Multiple Threads Sunday, March 3, 13 Parallel Architectures for Executing Multiple Threads Multiprocessor multiple CPUs tightly coupled enough to coope
School: UCSD
Course: Introduction To Computer Architecture
Data Hazards ADD SUB AND OR XOR Pipeline Hazards or Danger!Danger!Danger! CSE 240A R1, R2, R3 R4, R5, R1 R6, R1, R7 R8, R1, R9 R10, R1, R11 Data _ may result in data _. Dean Tullsen CSE 240A Data Hazards Dean Tullsen Data Hazard sub R7, R6, R3 add R6, R3,
School: UCSD
Course: Introduction To Computer Architecture
Compiler support for ILP: Software Pipelining Exposing More ILP These techniques were originally motivated by VLIW, which needs tons of ILP to work at all b useful for hi h d f k ll but f lf superscalar/dynamic/speculative processors, as well. Software Te
School: UCSD
Course: Introduction To Computer Architecture
Revisiting Branch Hazard Solutions Predict Not Taken IF EX MEM WB ID EX MEM WB IF ID EX MEM WB IF I+1 ID IF Branch Stall Predict Not Taken Predict Taken Branch Delay Slot ID EX MEM MEM WB I+2 I+3 Branch IF ID IF I+1 EX (bubble) (bubble) (bubble) (bubble)
School: UCSD
Course: Introduction To Computer Architecture
Memory Subsystem Design Jason Mars Monday, March 11, 13 The Memory Subsystem Computer Control Input Memory Datapath Monday, March 11, 13 Output Memory Locality Monday, March 11, 13 Memory Locality Memory hierarchies take advantage of memory locality. Mon
School: UCSD
Course: Introduction To Computer Architecture
HW support for More ILP Hardware Speculative Execution Speculation: allow an instruction to issue that is dependent on branch, without any consequences (including exceptions) if branch is predicted incorrectly (HW undo) Often combined with dynamic schedul
School: UCSD
Course: Introduction To Computer Architecture
Multi Cycle CPU Jason Mars Monday, February 4, 13 Why a Multiple Cycle CPU? Monday, February 4, 13 Why a Multiple Cycle CPU? The problem => single-cycle cpu has a cycle time long enough to complete the longest instruction in the machine Monday, February
School: UCSD
Course: Introduction To Computer Architecture
Dynamic Scheduling (or out-of-order execution) Instruction storage added to each functional execution unit Instructions issue to FU when no structural hazards, begin execution when dependences satisfied. Thus, instructions issued to different FUs can ex
School: UCSD
Course: Introduction To Computer Architecture
What is ILP? Instruction Level Parallelism (ILP) or Declaration of Independence CSE 240A The characteristic of a program that certain instructions are independent, and can potentially be executed i parallel. i d d d i ll b d in ll l Any mechanism that cre
School: UCSD
Course: Introduction To Computer Architecture
Instruction Set Architecture Jason Mars Sunday, January 13, 13 Instruction Set Architecture The agreed-upon interface between all the software that runs on the machine and the hardware that executes it. Application Operating System Compiler Instr. Set Pr
School: UCSD
Course: Introduction To Computer Architecture
Pipelined CPU Jason Mars Thursday, February 14, 13 Evolution of Our CPU: Single Cycle Thursday, February 14, 13 Evolution of Our CPU: Multi Cycle Thursday, February 14, 13 Instruction Latencies and Throughput Thursday, February 14, 13 Instruction Latencie
School: UCSD
Course: Introduction To Computer Architecture
Reasoning about Computer Performance Jason Mars Tuesday, January 22, 13 What Do We Want in our Computers Frame rate Responsiveness Real-time Throughput Latency/Execution time Battery life Low power/low temperature Tuesday, January 22, 13 What Do We
School: UCSD
Course: Design & Analysis Of Algorithm
Discussion Week 2 Douglas Chan January 21, 2015 1 Review Concepts It may be helpful to review geometric series. Remember that n1 a xk = a k=0 1 xk 1x where a is some constant. In homework 1c), the total number of nodes in a d-ary tree of height h is a ge
School: UCSD
Course: Design & Analysis Of Algorithm
Discussion Notes Wednesday, Jan 7th 2015 1 Big-Oh Fact 1. The two denitions of Big-Oh are equivalent Proof. We will that one can go from the rst denition to the second denition and vice versa, thereby establishing the equivalence of the two denitions. 1st
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, May 15, 2013 Lecture 14: Randomized Computation (cont.) Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Randmized Algorithm Examples 1.1 The k-th Element Denition 1 (The k-th element) def Input:
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, May 20, 2013 Lecture 15: Randomized Computation (cont.) Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Random Walk Algorithms for k-SAT 1.1 A random walk algorithm for 2-SAT 2-SAT. (x) = (x1 x2 ) (
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, May 13, 2013 Lecture 13: Randomized Computation Instructor: Professor Shachar Lovett 1 1.1 Scribe: Dongcai Shen Randomized Complexity Randomness is powerful We are interested in knowing: to what extent does ran
School: UCSD
Course: Computability And Complexity
CSE 200, Computability and Complexity, Spring 2013 Professor Shachar Lovett Email: slovett@cse.ucsd.edu Oce hours: Tuesday 1:00-2:00pm, Computer Science Building (EBU3b), room 4234 TA: Dongcai Shen Email: doshen@cs.ucsd.edu Oce hours: Monday 2:00-3:00pm,
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, May 1, 2013 Lecture 10: Boolean Circuits (cont.) Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Recap Denition 1 (Boolean circuit) A Boolean circuit on n inputs, is a DAG with n source nodes and
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, May 8, 2013 Lecture 12: Circuit Lower Bounds (cont.) & Natural Proofs Instructor: Professor Shachar Lovett 1 1.1 Scribe: Dongcai Shen PARITY AC0 (cont.) Recap Denition 1 (AC0 ) An AC0 circuit is a constant d
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, April 22, 2013 Lecture 7: Space Complexity Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen LOGSPACE Reduction L This week we will talk about space complexity. We started at poly-time (P) to investig
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, April 24, 2013 Lecture 8: PSPACE-Completeness & Savitchs Theorem Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Recap: Space Complexity Recall the following denitions on space complexity we lear
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, April 29, 2013 Lecture 9: NL = co-NL & Boolean Circuits Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Immerman-Szelepcsnyi1 Theorem e Theorem 1 (Immerman-Szelepcsnyi Theorem [3, 1, 4]) e co-NL = N
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, May 6, 2013 Lecture 11: Circuit Lower Bounds Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Circuit Classes: NCi and ACi There are specic kinds of circuits for which lower bounds techniques were su
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, April 3, 2013 Lecture 2: Uncomputability and the Haling Problem Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen The Universal Turing Machine In the last class, we saw that the denition of TM is r
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, April 10, 2013 Lecture 4: NP & NP-Completeness Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Search Problems v.s. Decision Problems Lets consider the specic distinctions between search problems
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, April 15, 2013 Lecture 5: NP-Completeness (cont.) Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Recap Lets review NPs denition taught in the last class. NP = Problems whose solution can be veried
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, April 1, 2013 Lecture 1: Turing Machines Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Logistics Grade breakdown. 3 homework (50%). Roughly every 2 weeks. Individual but encouraged to discuss in
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Wednesday, April 17, 2013 Lecture 6: Polynomial Hierarchy Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen 2-SAT Theorem 1 2-SAT P. Proof Suppose we have a 2-CNF formula (x1 x2 ) (x2 x3 ) (x4 x6 ) . The algo
School: UCSD
Course: Computability And Complexity
CSE 200 Computability and Complexity Monday, April 8, 2013 Lecture 3: Time Complexity & Space Complexity Instructor: Professor Shachar Lovett 1 Scribe: Dongcai Shen Intriguing Problems Matrix Multiplication. Given two n n matrices. A trivial algorithm use
School: UCSD
Course: Computability And Complexity
CSE200: Computability and complexity Final Exam Shachar Lovett Due by June 14th The nal take-home exam is individual. You are not allowed to consult with any other students or any other person for that matter, except for the professor or the TA. Cite any
School: UCSD
Course: Int Artif Intellsearch&reason
Mathematical Database MATHEMATICAL INDUCTION 1. Introduction Mathematics distinguishes itself from the other sciences in that it is built upon a set of axioms and definitions, on which all subsequent theorems rely. All theorems can be derived, or proved,
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: PROBABILITY AND STATISTICS
CSE 103: Probability and statistics Fall 2010 Useful facts Mathematical preliminaries 1. Arithmetic, geometric, and harmonic series: 1 + 2 + + n = 1 + r + r2 + = 1+ 1 1 + + 2 k n(n + 1) 2 1 if 0 < r < 1 1r ln k 2. 1 + x ex and 1 x ex . When x is small, th
School: UCSD
CSE100DiscussionSection WW3&WW4 Oct.21[Mo]2:00pm2:50pm CSB002 Max Outline Treap/Heap(5) TreeRotation(10) PointerSecretRemedies(10) PA 2 PA2(15) Fri8pm Mon8pm Now Wed Someconcepts Note:thisgraphisnottechnicallycorrect, becauseasinglenodewillalwaysbeapa
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CSE100DiscussionSection WW2 Oct.7[Mo]2:00pm2:50pm CSB002 Max Outline Pointertypes(5) PassbyPointer/Reference(WTHisthedifference?!)(7) PA1() Git(dt) Reademout! &n / (read as) address of n [Reference] *p / (read as) value at (address stored in p) [De-
School: UCSD
Binary Search Trees Data in each node Larger than the data in its left child Smaller than the data in its right child FIGURE 11-6 Arbitrary binary tree Data Structures Using C+ 2E FIGURE 11-7 Binary search tree 1 Binary Search Trees (contd.) class bSe
School: UCSD
Treaps: an example Keys are letters, with alphabetic ordering Priorities are integers, with numeric ordering G,50 C,35 B,24 A,21 H,29 E,33 I,25 L,16 D,8 J,13 (G,50),(C,35),(E,33),(H,29), (I,25),(B,24),(A,21),(L,16),(J,13), (K,9),(D,8) K,9 Scott B. Baden
School: UCSD
Course: Database Systems Principles
CSE 132A Assignment #1 (SQL) Solutions The boat reservations database has the following schema: sailor: sname (string), rating (integer) boat: bname (string), color (string), rating (integer) reservation: sname (string), bname (string), day (string) The r
School: UCSD
Course: Database Systems Principles
.mode columns .headers on create table movie (title, director, actor); create table schedule (theater, title); insert into movie values ('Last Tango', 'Bertolucci', 'Brando'); insert into movie values ('Last Tango', 'Bertolucci', 'Winger'); insert into mo
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: Digital Design
Lecture 7: UML Class Diagrams CSE 111 01/08/11 Copyright W. Howden 1 Context After completion of the collaboration diagrams, we have identified class objects that will be needed to perform the subsystem responsibilities We now have the classes for our de
School: UCSD
Course: Database Systems Principles
1/8/2015 O ut The Relational Model database consists of several tables (relations) columns in each table are named by attributes each attribute has an associated domain (set of allowed values) data in each table consists of a set of rows (tuples) providin
School: UCSD
Course: Database Systems Principles
SQL Data Manipulation Language primarily declarative query language starting point: relational calculus aka first-order predicate logic many additions, bells and whistles corresponding procedural language: relational algebra will discuss relational c
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: Database Systems Principles
CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric: web knowledge harvesting, crowd sourcing, cloud
School: UCSD
Course: Database Systems Principles
SQL Structured Query Language Standard for relational db systems History: Developed at IBM in late 70s First standard: SQL-86 Second standard: SQL-92 Third standard: SQL-99 or SQL3, well over 1000 pages! The nice things about standards is that you have
School: UCSD
CSE 105: Introduction to the Theory of Computation Winter 2015 Lecture Notes: Nondeterministic FST Instructor: Daniele Micciancio UCSD CSE Before reading this, you should rst study the previous notes on (deterministic) Finite State Transducers. In these n
School: UCSD
Course: Components And Design Techniques For Digital Systems
Lecture 9: Universal Gates CSE 140: Components and Design Techniques for Digital Systems Diba Mirza Dept. of Computer Science and Engineering University of California, San Diego 1 Announcements Today is the last day to register clickers on TED Midterm -
School: UCSD
Course: Components And Design Techniques For Digital Systems
Lecture 10: Sequential Networks: Latches CSE 140: Components and Design Techniques for Digital Systems Diba Mirza Dept. of Computer Science and Engineering University of California, San Diego 1 QUIZ NO TALKING NO NOTES Q1: What does the X symbol in the fo
School: UCSD
Course: Components And Design Techniques For Digital Systems
Lecture 11: Sequential Networks Latches and Flip flops CSE 140: Components and Design Techniques for Digital Systems Diba Mirza Dept. of Computer Science and Engineering University of California, San Diego 1 Flip-flop Components SR latch (Set-Reset) S R I
School: UCSD
Course: Components And Design Techniques For Digital Systems
Lecture 12: Sequential Networks Flip flops and registers CSE 140: Components and Design Techniques for Digital Systems Diba Mirza Dept. of Computer Science and Engineering University of California, San Diego 1 Announcements Section B: Midterm on Friday a
School: UCSD
Course: Components And Design Techniques For Digital Systems
Lecture 13: Sequential Networks Finite State Machines CSE 140: Components and Design Techniques for Digital Systems Diba Mirza Dept. of Computer Science and Engineering University of California, San Diego 1 Sequential Networks Y A B C D S(t) Combinational
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: Software Tools and Techniques Laboratory Fall 2013 - http:/cse15l.weebly.com GARY GILLESPIE Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 15 December 2nd, 2013 Todays Topics 1. Reporting Bugs 2. Java Collections Framework 2 Debugging and Reporting Bu
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L: So*ware Tools and Techniques Laboratory Fall 2013 - hAp:/cse15l.weebly.com GARY GILLESPIE Dr. ILKAY ALTINTAS TA: ALOK SINGH Lecture 12 November 13th, 2013 Todays Topics
School: UCSD
Alice classes, objects, control structures: loops, if else, methods, parameters, functions Alice is named in honor of Lewis Carrolls Alice in Wonderland Alice 3-D Animation Movie Interactive - events Download www.alice.org Tools Mouse Camera Navigator Dro
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Design and Analysis of Algorithms Lecture 2: Graphs, DFS (Undirected, Directed), DAGs Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Graphs Internet topology Graphs Gene-gene interactions affecting phenotype in yeast Graphs Air
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Design and Analysis of Algorithms Lecture 4: Divide and Conquer (I) Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Divide and Conquer (DQ) First paradigm or framework DQ(S) if S is small return ADHOC(S) else decompose S into s
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Design and Analysis of Algorithms Lecture 3: Connected Components Class URL: http:/vlsicad.ucsd.edu/courses/cse101-w15/ Connectivity and Connected Components 1,10 A B C D A C 4,9 E F G H B J K 5,8 13,20 H 6,7 J CC3 D I L F 12,21 E 2,3
School: UCSD
Course: Advanced Data Structures
CSE 100: FINISH HASH TABLES, SKIP LISTS Announcements PA2 submission, Wednesday 6pm Remember to incorporate corrections from PA1 (and write about them) Midterm #1, one week from today Will post review topics and a sample exam, but the best way to stud
School: UCSD
Course: Advanced Data Structures
CSE 100: RST, THEN HASH TABLES 2 Announcements PA2 final submission due at 6pm next Wednesday IMPORTANT: You must include a note in a comment at the top of your rst.hpp file that states whether and how your BST code differs from the BST code you submitt
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 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: Database Systems Principles
Views, assertions, and triggers Views are a mechanism for customizing the database; also used for creating temporary virtual tables Assertions provide a means to specify additional constraints Triggers are a special kind of assertions; they define actions
School: UCSD
Course: Database Systems Principles
SQL:Union, Intersection, Difference Union <SQL query 1> UNION <SQL query 2> Intersection Find all actors or directors (SELECT Actor as Name FROM Movie) UNION (SELECT Director as Name FROM Movie) <SQL query 1> INTERSECT <SQL query 2> Difference Find a
School: UCSD
Course: Algorithms
CSE 101 Midterm Name: February 7, 2013 Student ID: Question Points 1 10 2 10 3 10 4 10 Total: Score 40 INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your scrat
School: UCSD
Course: Algorithms
CSE101 Midterm February 6, 2014 Name: _Student ID:_ Question 1 2 3 4 5 Total: Points 10 10 10 10 10 50 Score INSTRUCTIONS: Be clear and concise. Write your answers in the space provided. Use the backs of pages, and/or the scratch page at the end, for your
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: Algorithms
For each edge e of G, we build a graph G' as follows: w(e) = -(|V| - 1) for each edge e' different from e, w(e') = 1 Run ZWC on G' If one run of ZWC returns YES, return YES for RC, otherwise NO. Proof: If a run of RWC returns YES, it means that we have
School: UCSD
Course: Algorithms
Solutions are boxed in blue. Grading schemes are boxed in yellow UCSD CSE 101, Winter 2011 FINAL EXAM March 17, 2011 Name: Student ID: Please read all of the following information before starting the exam. You have three hours (180 minutes) to work the ex
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: Int Artif Intellsearch&reason
NAME:_ LOGIN:_ Signature:_ Computer Science and Engineering 150 Programming Languages for Artificial Intelligence Thursday, May 9, 2007 M I DT E RM E XAM DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO START! Please DO NOT put your name at the top of each pa
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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: Design & Analysis Of Algorithm
Question 1 (Computing Runtime, 30 points). Consider the following sorting algorithm: RecursiveSort(A,i,j) \ sorts the elements of A between indices i and j if j=i+1 if A[i]>A[j] swap(A[i],A[j]) else Set k = ceiling(2*(j-i+1)/3)-1 RecursiveSort(A,i,i+k) Re
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Exam 2 Winter 2015 Instructions: Do not open until the exam starts. The exam will run for 45 minutes. The problems are roughly sorted in increasing order of diculty. Answer all questions completely. You are free to make use of any result in the te
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Exam 1 Solutions Winter 2015 Question 1 (Connected Components, 30 points). Identify the labels of the vertices in the strongly connected components of the graph below. B A C E D H I F G J The components are cfw_A, C, E, F , cfw_B, D, G, H, I, cfw_
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Exam 1 Winter 2015 Instructions: Do not open until the exam starts. The exam will run for 45 minutes. The problems are roughly sorted in increasing order of diculty. Answer all questions completely. You are free to make use of any result in the te
School: UCSD
CSE 105: Midterm May 9, 2006 No books, no calculators. One 8.5x11 page of handwritten notes. Name: _ Student ID:_ Problem Score 1 2 3 4 Total 1 1. 30 pts. Prove the following languages (all with input alphabet cfw_0, 1) are regular or not. (a) Non-empty s
School: UCSD
CSE 105: Midterm Solution October 31, 2006 No books, no calculators. One 8.5x11 page of handwritten notes. Name: _ Student ID:_ ieng6.ucsd.edu login: _ Problem 1 2 3 4 5 6 Total Score /15 /15 /15 /15 /15 /15 /90 1 1. 15 pts. Determine whether regular lang
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CSE 105: Midterm Solution May 10, 2007 No books, no calculators. One 8.5x11 page of handwritten notes. Name: _ Student ID:_ Problem 1 2 3 4 5 6 Total Score /14 /16 /18 /28 /14 /10 /100 1 1. 14 pts. Let D be a deterministic nite automaton. Construct a nite
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CSE 105: Midterm Solution May 9, 2006 No books, no calculators. One 8.5x11 page of handwritten notes. Problem 0: 1 point: Name: _ Student ID:_ Section (circle one): 8AM 1PM 2PM 3PM Problem 0 1 2 3 4 5 Total Score /1 /30 /24 /15 /30 /10 /100 1 1. 30 pts. P
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CSE 105: Final Solution June 14, 2006 No books, no calculators. One 8.5x11 page of handwritten notes. Name: _ Student ID:_ Section (circle one): 8AM 1PM 2PM 3PM Problem 1 2 3 4 5 6 7 Extra Credit Total Score /15 /18 /18 /14 /15 /15 /5 /15 /100 1 1. 15 pts
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CSE 105: Final June 14, 2006 No books, no calculators. One 8.5x11 page of handwritten notes. Name: _ Student ID:_ Section (circle one): 8AM 1PM 2PM 3PM Problem 1 2 3 4 5 6 7 Extra Credit Total Score /15 /18 /18 /14 /15 /15 /5 /15 /100 1 1. 15 pts. Determi
School: UCSD
Course: Database Systems Principles
CSE 132A Winter, 2015 Solutions to practice problems on tuple calculus and SQL Problem 1 (a) List the bars that serve a beer that Joe likes. (i) tuple calculus: cfw_b : bar | s servesl likes (s(bar) = b(bar) s(beer) = l(beer) l(drinker) = Joe). (ii) SQL:
School: UCSD
Course: Database Systems Principles
CSE 132A Winter, 2015 Practice problems on tuple calculus and core SQL 1. The beer drinkers database consists of the following three relations frequents drinker bar serves bar beer likes drinker The rst indicates the bars each drinker frequents, the secon
School: UCSD
Course: Software Tools&techniques Lab
CSE 15L Fall13 Midterm Exam Practice Questions Example True/False questions: 1. A shell acts as an interface between the user and the system. [T] 2. As a command interpreter, the shell sends the commands to the
School: UCSD
Course: Components And Design Techniques For Digital Systems
CSE 140L Final Exam Prof. Tajana Simunic Rosing Spring 2008 Do not start the exam until you are told to. Turn off any cell phones or pagers. Write your name and PID at the top of every page. Do not separate the pages. This is a closed-book, closed-not
School: UCSD
Course: Components And Design Techniques For Digital Systems
School: UCSD
Course: Cse12
1 Sample questions for quiz 5 Here are some sample questions typical of what you'll see in Quiz 5. Guaranteed Initialization _ be used to initialize const data fields in a class. A) must B) can optionally C) cannot Guaranteed Initialization _ be used to i
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Course: CSE 100
CSE 100 Practice Midterm #1 Summer 2014 Problem Topic 1 Data Structure comparisons 2 BSTs 3 BST Running Time Analysis 4 Huffman Coding 5 C+ Total Points Possible Points Earned Grader 100 This exam is closed book, closed notes. Write your name on every pag
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101, Winter 2015 Design and Analysis of Algorithms Instructor: Webpage: Email: Telephone: Office Hours: Office: Prof. Andrew B. Kahng http:/vlsicad.ucsd.edu/~abk/ abk@cs.ucsd.edu 858-822-4884 Wed 1-2pm, Fri 11am-noon, and by appt EBU3B 2134 Class URL:
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 - Winter 2015 Quiz 2 Solutions January 27, 2015 1. True or False: For any DAG G = (V, E) with at least one vertex v V , there must exist at least one topological ordering. (Answer: True) Solution Fact (from class) If G is a DAG, then G has at leas
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 - Winter 2015 Quiz 1 Solutions January 12, 2015 1. What is the maximum possible number of vertices in a binary tree of height h? The height of a binary tree is the length of the longest path from the root vertex to any vertex in the tree. [2h+1 1]
School: UCSD
Course: Discrete Mathematics For Computer Science
CSE 21 Practice Exam for Midterm 1 Winter, 2015 Sorting algorithms (5 points for each part) Give the number of comparisons that will be performed by each sorting algorithm if the input array of length n happens to be already sorted. (a) Min Sort (Selectio
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Course: Discrete Mathematics For Computer Science
CSE 21 Practice Exam for Midterm 1 Winter, 2015 Sorting algorithms (5 points for each part) Give the number of comparisons that will be performed by each sorting algorithm if the input array of length n happens to be already sorted. (a) Min Sort (Selectio
School: UCSD
Course: Intr Computer Sci&obj-orijava
Signature _ cs11f _ CSE 11 Quiz 5 Fall 2012 Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no calculators. Given the following class definitions: public class Snow cfw_ public void method2() cfw_ System.out.print
School: UCSD
Course: Intr Computer Sci&obj-orijava
Signature _ cs11f _ CSE 11 Quiz 5 Fall 2013 Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no calculators. Given the following class definitions: public class Snow cfw_ public void method2() cfw_ System.out.print
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Course: Intr Computer Sci&obj-orijava
Signature _ cs11f _ CSE 11 Quiz 5 Fall 2011 Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no calculators. Given the following partial class definition for Point, fill in the blanks to complete the class definiti
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Course: Intr Computer Sci&obj-orijava
Signature _ cs11f _ CSE 11 Quiz 4 Fall 2013 Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no electronic devices. What is the output produced by the following program? (Hint: draw stack frames) public class Swap
School: UCSD
Course: Intr Computer Sci&obj-orijava
Signature _ cs11f _ CSE 11 Quiz 4 Fall 2012 Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no electronic devices. What is the output produced by the following program? (Hint: draw stack frames) public class Swap
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Course: Intr Computer Sci&obj-orijava
CSE 11 Quiz 4 Fall 2011 Signature _ cs11f _ Name _ Student ID _ This quiz is to be taken by yourself with closed books, closed notes, no electronic devices. What is the output produced by the following program? (Hint: draw stack frames) public class Swap
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Course: Intr Computer Sci&obj-orijava
Signature _ Name _ cs11f _ Student ID _ By filling in the above and signing my name, I confirm I will complete this exam with the utmost integrity and in accordance with the Policy on Integrity of Scholarship. CSE 11 Final Fall 2012 Page 1 _ (17 points) P
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Course: Intr Computer Sci&obj-orijava
Signature _ Name _ cs11f _ Student ID _ CSE 11 Final Fall 2011 Page 1 _ (17 points) Page 2 _ (25 points) Page 3 _ (31 points) Page 4 _ (14 points) Page 5 _ (10 points) Page 6 _ (19 points) Page 7 _ (20 points) Page 8 _ (12 points) Page 9 _ (31 points) Pag
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Final Outline There will be (22) = (11)(2) questions, some with mulitple parts 0. Warm Up Questions / Find the error in the Proof. 1. Sets. 2. Statements and Logic. 3. Direct Proof. 4. Contrapositive Proof. 5. Proof By Contradiction. 6. Induction. More In
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Sample Final Questions for RRR - Complexity Zoo and Counting F1. Find the error in this false statement and correct it: Finding the chromatic number of a graph is NP-complete. F2. Find the error in this false statement and correct it: Solving the Travelin
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CSE 21 Practice Problems for Final Exam 1. If A and B are events in a probability space with P r(A) = P r(A B)c ) = 5 , then what is P r(A B)c )? 6 2 , 5 P r(B) = 1 5 and Solution. Since P r(A B) = P r(A) + P r(B) P r(A B) by inclusion/exclusion and we 1
School: UCSD
money is tripled if you win.) A bet on even (ball falls into a slot with an even number) has payout 1:1, i.e., if you win, you receive your original bet back, plus the amount of your original bet. (So, your money is doubled if you win.) If you lose a bet,
School: UCSD
Course: Advanced Data Structures
Final Exam Practice Questions CSE 100 (Fall 2014) CSE Department University of California, San Diego Part A: The Basics This section tests your basic knowledge of data structures via multiple choice questions. Sample questions include all the iclicker and
School: UCSD
Course: Advanced Data Structures
Final Exam Practice Questions CSE 100 (Fall 2014) CSE Department University of California, San Diego Part A: The Basics This section tests your basic knowledge of data structures via multiple choice questions. Sample questions include all the iclicker and
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Quiz 2b Total marks: 50 Total Time: 30 minutes 25th April, 2014 Name: PID: 1. (5 + 15 Marks) (a) If a and b are two rational numbers then prove that a + b is also rational. (b) If a is a rational number and b is not a rational number prove that a
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20 - Spring 2014 Quiz 1 Quiz 1b Solutions 1 Convert [31021]4 to base 5. Let us rst convert the number in base 4 to base 10. [31021]4 = 841 in base 10. Let us then convert 841 into base 5. 841 = [11331]5 . 2 What is the sum of [24665]7 and [63606]7 in
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Midterm - Section B Maximum marks: 100 Total Time: 50 minutes 9th May, 2014 Name: PID: 1. (15 Marks) If a and b are two integers such that (a2 b2 ) is divisible by 4, then prove that either 4 divides a or 4 divides b or (a2 b2 ) is divisible by 8.
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Quiz 4 Total marks: 50 Total Time: 40 minutes 23rd May, 2014 Name: PID: 1. Prove that for all n cfw_1, 2, 3, 4, . . . 12 + 22 + 32 + + n2 = n(n + 1)(2n + 1) 6 2. Let T (1), T (2), T (3), . . . , T (n) be a sequence of numbers such that for all n
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Assignment Set 2 1. Show that a2 + a4 0(mod 5) if a 2(mod 5) or a 3(mod 5) or if 5 divides a. Proof. We want to show that if a 2(mod 5) or a 3(mod 5) or if 5 divides a, then a2 + a4 0(mod 5). In other words, we want to show that a2 + a4 = 5k + 0,
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20 - Spring 2014 Quiz 1 Quiz 1a Solutions 1 Convert [6102]8 to base 3. Let us rst convert the number in base 8 to base 10. [6102]8 = 3138 in base 10. Let us then convert 3138 into base 3. 3138 = [11022020]3 . 2 What is the sum of [24777]8 and [63606]8
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20 - Spring 2014 Quiz 4 Quiz 4a Solutions1 1 Prove that for all n cfw_1, 2, 3, . . ., 13 + 23 + . . . + n3 = Base Case When n = 1, LHS = 13 = 1. RHS = n2 ( n + 1)2 4 12 (1+1)2 4 = 4 4 = 1. Induction Hypothesis Assume that for some n, the statement is
School: UCSD
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
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: Mathematics For Algorithm And Systems Analysis
CSE 21: Homework 3 October 12, 2009 Problem 1 In how many ways can 6 people be assigned to 4 nonempty teams? Problem 2 An urn contains 5 red marbles and 6 white marbles. (a) How many ways can 4 marbles be drawn? (b) What if we must have 2 red marbles and
School: UCSD
Course: Artificial Intelligence
CSE 150. Assignment 6 Out: Thu Mar 07 Due: Thu Mar 14 Reading: Sutton & Barto, Chapters 1-4. 6.1 CAPE Survey You should have received an email from CAPE asking you to evaluate this course. Please complete the online survey if you have not already done so.
School: UCSD
Course: Introduction To The Theory Of Comptuation
CSE 105: Introduction to the Theory of Comptuation Spring 2012 Solution Set 1 Instructor: Alexander Tsiatas Due on: Wed. April 11, 2012 Problem 1 There are many possibilities here. This is just one example. (a) Suppose you want a DFA that accepts strings
School: UCSD
A LGORITHMS - CSE 101 Homework 2 Due Thursday, January 21st, 8:00 AM. No exceptions! Turn in solutions to problems 2.22 (page 75), 2.25 (page 76), and 2.30 (page 77). Each problem is worth 10 points. We suggest the following steps in writing up your solut
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: 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
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Course: Advanced Algorithm
Homework Two, for Fri 10/12 CSE 101 When specifying an algorithm, please use pseudocode that is simple and unambiguous. Always justify the correctness and running time of the algorithm, unless these are obvious. 1. Here is yet another multiplication algor
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 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
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: 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: Design & Analysis Of Algorithm
Algorithms: CSE 101 Homework I Problem 1: (Function Order) 2 Is the function 2lg n polynomially bounded? Is the function log log n ! polynomially bounded? Justify your answers Solution. bounded. The function 2lg 2 n is not polynomially bounded. The functi
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
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Course: A
CSE 250A. Assignment 1 Out: Tue Sep 28 Due: Tue Oct 05 1.1 Conditioning on background evidence [RN 13.9] It is often useful to consider the impact of specic events in the context of general background evidence, rather than in the absence of information. (
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CSE 202 Homework 2 Solutions 1 Kleinberg & Tardos, problem 26, page 202. Time-varying Minimum Spanning Tree. Connected graph G = (V, E ). Each edge e E has a time-varying edge cost fe = ae t2 + be t + ce such that fe > 0 for all t. Denote n = |V | and
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
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: 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
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
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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
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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: 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
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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
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: Design & Analysis Of Algorithm
CSE 101 Homework 4 Winter 2015 This homework is due Friday February 20th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Ma
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Course: Design & Analysis Of Algorithm
CSE 101 Homework 2 Solutions Winter 2015 This homework is due Friday January 30th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Quest
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 3 Winter 2015 This homework is due Friday February 13th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (De
School: UCSD
Course: Design & Analysis Of Algorithm
CSE101 Homework 1 Solutions Winter 2015 Question 1 (Moving, 20 points). Alice is attempting to move a table from one side of her apartment to the other. The apartment is laid out on a hexagonal grid. The table is large enough that it takes up two adjacent
School: UCSD
Course: Design & Analysis Of Algorithm
CSE101 Homework 0 Solutions Winter 2015 Question 1 (Program Runtimes, 20 points). Consider the following programs: Alg1(n): For i = 1 to n j = 1 while i+j < n j = j+1 Alg2(n): For i = 1 to n j = 1 while i*j < n j = j+1 For each of these algorithms, comput
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 5 Winter 2015 This homework is due Friday March 6th at the start of class. Remember to justify your work even if the A problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Counti
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Course: Design & Analysis Of Algorithm
CSE 105: Automata and Computability Theory Winter 2015 HW #3-2 Solutions Truc Nha Le A09921987 Prove that : L = cfw_anbm | n m 2n or m n 2m is not regular. Assume for contradiction L is regular. Let p be the pumping length of the Pumping Lemma Consider th
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Course: Design & Analysis Of Algorithm
CSE 101 Homework 3 Winter 2015 This homework is due Friday February 13th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (De
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Course: Design & Analysis Of Algorithm
CSE 101 Homework 4 Winter 2015 This homework is due Friday February 20th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Ma
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Course: Design & Analysis Of Algorithm
CSE 101 Homework 2 Winter 2015 This homework is due Friday January 30th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Die
School: UCSD
Course: Design & Analysis Of Algorithm
CSE 101 Homework 0 Winter 2015 This homework is due Friday January 9th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Prog
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Course: Design & Analysis Of Algorithm
CSE 101 Homework 1 Winter 2015 This homework is due Friday January 16th at the start of class. Remember to justify your work even if A the problem does not explicitly say so. Writing your solutions in L TEXis recommend though not required. Question 1 (Mov
School: UCSD
Course: Database Systems Principles
Home What's New Staff Course Policies Resources Text Slides Gradiance Piazza Reading List Homework Sets Projects Exams & Practice Problems Grades Computation Statistics Database Systems Principles CSE132A Winter 2015 Programming Assignments SQL assignment
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CSE 105 Homework 5 Due March 12 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or find a mistake, please email William at wgmatthews@cs.ucsd.edu. In
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CSE 105 Homework 3 Due February 26 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or nd a mistake, please email William at wgmatthews@cs.ucsd.edu. I
School: UCSD
CSE 105 Homework 3 Due February 12 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or find a mistake, please email William at wgmatthews@cs.ucsd.edu.
School: UCSD
CSE 105 Homework 1 Due January 15 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or nd a mistake, please email William at wmatthews@cs.ucsd.edu. In
School: UCSD
CSE 105 Homework 2 Due January 29 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or find a mistake, please email William at wgmatthews@cs.ucsd.edu.
School: UCSD
CSE 105 Homework 1 Due January 15 You may (and are encouraged to) discuss the problems with other students, but what you hand in must be your own work. If you do not understand a problem or find a mistake, please email William at wgmatthews@cs.ucsd.edu.
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CSE 105: Automata and Computability Theory Winter 2015 Homework #1 Due: Wednesday, January 14th, 2015, 11:59 pm Problem 1 Sign up for an account on Automata Tutor, at http:/automatatutor.com. If you are a UCSD student, use your ocial UCSD e-mail for your
School: UCSD
Course: Database Systems Principles
Question Text: Relation R(x,y) currently consists of only the one tuple (NULL, NULL). Which of the following SQL-99 standard queries will produce a nonempty output? That is, at least one tuple will be produced, although the tuple(s) may have NULL's. Corre
School: UCSD
Course: Database Systems Principles
1. Question ID 568: The latest scores from the Japanese Baseball League are in the table with schema Scores(Team, Opponent, RunsFor, RunsAgainst) The data in this table is as follows: Team Opponent RunsFor RunsAgainst Dragons Tigers 5 3 Carp Swallows 4 6
School: UCSD
Course: Database Systems Principles
1. Question ID 557: The table Arc(x,y) currently has the following tuples (note there are duplicates): (1,2), (1,2), (2,3), (3,4), (3,4), (4,1), (4,1), (4,1), (4,2). Compute the result of the query: SELECT a1.x, a2.y, COUNT(*) FROM Arc a1, Arc a2 WHERE a1
School: UCSD
Course: Database Systems Principles
1. Question ID 594: The table Scores(Team, Day, Opponent, Runs) Gives the scores in the Japanese Baseball League for two consecutive days. The data in this table is as follows: Team Day Opponent Runs Dragons Sunday Swallows 4 Tigers Sunday Bay Stars 9 Car
School: UCSD
Course: Database Systems Principles
Question ID: Question Text: 565 Consider a relation Parent(par,ch), where a tuple (p,c) in Parent specifies that person p is the parent of person c. The only key for Parent consists of both attributes together. We are interested in writing a recursive que
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Course: Database Systems Principles
1. Question ID 559: Suppose relation R(a,b,c) has the following tuples: (1,1,3), (1,2,3), (2,1,4), (2,3,5), (2,4,1), (3,2,4), and (3,3,6). Define the view V by: CREATE VIEW V AS SELECT a+b AS d, c FROM R; What is the result of the query: SELECT d, SUM(c)
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Lora Tam A09844493 CSE 141 Homework 2 1. a.) Which is the best compiler-machine combination? instructions/program * clock cycles/instruction * second/clock cycle = seconds/program so for compiler A: rAlpha = 7000*1.2/3.4x109 = 2.47 x 10-6 seconds/program
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Lora Tam A09844493 CSE 141 Homework 1 1. a. C Code: f = g + A[B[4]-B[3]; lw $t0,16($s7) lw $t1,12($s7) sub $t0, $t0, $t1 sll $t0, $t0, 2 add $t0, $t0, $s6 lw $t0, 0($t0) add s0,s1,$t0 # Temporary reg $t0 gets B[4] # Temporary reg $t1 gets B[3] # $t0 = B[4
School: UCSD
Course: Theory Of Computation
Lora Tam A09844493 Cse 105 homework #8 1. Let L5 = cfw_<M> | |L(M)| = 5, so L5 contains all encodings of Turing machines whose languages contain exactly ve strings. Show that L5 is undecidable. a. Assume towards contradiction that L5 is decidable, so some
School: UCSD
Course: Theory Of Computation
Lora Tam A09844493 Cse 105 homework #7 1. Prove or disprove the following statement: Every Turing-recognizable language can be recognized by a TM that either accepts or loops, but never rejects. This is false because lets assume that the Turing-recognizab
School: UCSD
Course: Theory Of Computation
Lora Tam A09844493 Cse 105 homework #5 1. (a) L = cfw_w cfw_0,1*| w contains twice as many 1s as 0s S0S1110|1S110|11S10|110S1|S1101|1S101|10S11|101S1|S1011|0S111|01S11|011S1 S1 S0| (b) L = cfw_aibj| i, j 0 and i > j. S1 aS2 S2 aS2|aS2b| 2. S Sb|aS| This
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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
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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
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Lab 4 CSE 3, Winter 2015 In this lab we will learn more Microsoft Excel and create an annual budget. A. Annual Budget One of the most common uses of a spreadsheet is to chart financial information. We are going to create an annual budget for your projecte
School: UCSD
Course: Database Systems Principles
.mode columns .headers on create table sailor (sname, rating); create table boat (bname, color, rating); create table reservation (sname, bname, day); insert into sailor values ('Brutus', 1); insert into sailor values ('Andy', 8); insert into sailor value
School: UCSD
Course: Database Systems Principles
Consider the following database schema for a BOOKSTORE database: Books (bookid, title, author, year) Customers (customerid, name, email) Purchases (customerid, bookid, year) Reviews (customerid, bookid, rating) Pricing (bookid, format, price) Given the ab
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Lab 2 CSE 3, Winter 2015 In this lab you will learn about file structures and advanced features of Microsoft Word. You will then work on an HTML calendar to prep yourself for Lab 3. Enabling file extensions in Windows Explorer Windows will hide file exten
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Lab 1 CSE 3, Winter 2015 In this lab you will create a basic homepage and put it up online. You will then start a tutorial to reinforce how to use the SSH program. ADMINISTRIVIA Tutors: KevinN Arturo Brian Charlie Jessica Jungyoon Katie Kenny KevinP Kevin
School: UCSD
Lab 3 CSE 3, Winter 2015 In this lab you will learn and implement some basic html. Enabling file extensions in Windows Explorer Windows will hide file extensions that are known by default. It is meant to be a convenience, but it is actually confusing and
School: UCSD
Course: Database Systems Principles
Here is a schema about battleships and the battles they fought in: Ships(name, yearLaunched, country, numGuns, gunSize, displacement) Battles(ship, battleName, result) A typical Ships tuple would be: ('New Jersey', 1943, 'USA', 9, 16, 46000) which means t
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:
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School: UCSD
School: UCSD
School: UCSD
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School: UCSD
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School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
School: UCSD
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School: UCSD
School: UCSD
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Course: PROBABILITY AND STATISTICS
P (B|A)P (A) P (B) description 6. Bayes Rule: P (A|B) = These pages are a summary of the formulas used in CSE103. You can use this as a basis for your handwritten cheat-sheet. However, you cannot bring a printout of these pages to the nal exam. 7. Conditi
School: UCSD
CSE 112 Discussion 26 Jan 2015 Requirements Gathering Methodologies Req. gathering techniques 1. Ethnographic methods a. Sometimes, the best way to understand is observe users at work b. Study the context of work and watch work being done in users own nat
School: UCSD
Course: Database Systems Principles
CSE 132A Assignment #1 (SQL) Answers on sample data Consider the following instance of the Reservations sailor sname rating boat bname Brutus 1 SpeedQueen Andy 8 Interlake Horatio 7 Marine Rusty 8 Bay Bob 1 reservation sname bname day Andy Interlake Monda
School: UCSD
Course: Advanced Data Structures
CSE 100 Final Exam Study Guide, Fall 2014 CSE Department University of California, San Diego 1 Final Exam The nal exam will cover all the data-structures and algorithms that we have covered during the quarter, including all the readings, class discussions
School: UCSD
Course: Advanced Data Structures
CSE 140 Lecture 14 System Design CK Cheng CSE Dept. UC San Diego 1 Design Process Describe system in programs Data subsystem List data operations Map operations to functional blocks Add interconnect for data transport Input control signals and outpu
School: UCSD
Course: Int Artif Intellsearch&reason
CSE 20: Assignment Set 1 1. Write down the following integers in base 7: (a) 245 (b) 98 (c) 2014 Solution: (a) 500 (b) 200 (c) 5605 2. What is the representation of the number [2402]5 in base 2? Solution: [2402]5 = 2 53 + 4 52 + 0 51 + 2 50 = [352]10 = [1
School: UCSD
Course: Programming Languages
OCAML # insert [] 10; - : int list = [10] # insert [1;2;3;4] 3; -: int list = [1;2;3;3;4] let rec insert l i = match l with | [] -> [i] | h:t -> if h < i then h : (insert t i) else i : h : t count (=) 7) [1;2;3;4;5;6;7;8;9] count (!=) 8) [1;2;3;4;5;6;7;8;
School: UCSD
Course: Server-side Application
Javascript and Ajax You are the owner and programmer of the new web application SmashingSuccess, which has millions of users. The following page is the page where new users register for an account. A problem is that nowadays the users often get frustrated
School: UCSD
Course: Server-side Application
CSE 135 Discussion Section #2 JSP practices Why Servlets Went Out of Fashion Nowadays very few programmers write http servlets directly in Java. Consider the following possible reasons and mark which ones are true: - YES NO: Programmers gave up on writi
School: UCSD
Assignments, Labs and Schedule - CSE 8A Fall 2014 10/4/14, 7:28 AM CSE 8A Fall 2014 Welcome to CSE 8A! Search this site Assignments, Labs and Schedule Slides and Resources Tutor Hours Syllabus Assignments, Labs and Schedule Important information about whe
School: UCSD
SW Dev is tedious Find things, switch between files Switch between activities (edit, build, run, debug, testing) Switch between different builds (deployment vs. testing) Write test cases Many code properties are invisible (where's that class, where's
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
University of California, San Diego Department of Computer Science and Engineering CSE 3 Fluency with Information Technolgy Wtr 2015 Lecture: Instructor: Office: MWF noon-12:50pm Center 115 Office Hours: Email: Email help: Web page: Susan Marx EBU-3B Room
School: UCSD
Syllabus - CSE 8A Fall 2014 10/4/14, 7:31 AM CSE 8A Fall 2014 Welcome to CSE 8A! Assignments, Labs and Schedule Search this site Slides and Resources Tutor Hours Syllabus Syllabus Welcome to CSE 8A! We are excited to have you in this course. In this class
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
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)
School: UCSD
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
School: UCSD
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