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School: USC
Course: DATABASE
CS585 Database Systems Spring 2009 Final Exam Name: _ Student ID: _ Maximum 20 15 10 20 15 20 100 Received Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Problem 1 (20 points) Briefly answer the following questions: a) 4pts Define a vie
School: USC
Course: Analysis Of Agorithms
Homework #2 1. Suppose you were to drive from USC to Santa Monica along I10. Your gas tank, when full, holds enough gas to go p miles, and you have a map that contains the information on the distances between gas stations along the route. Let d1 < d2 < <
School: USC
Course: SOFTWARE MANAGMENT
What is the ICM? Riskdriven framework for determining and evolving bestfit system lifecycle process Integrates the strengths of phased and riskdriven spiral process models Synthesizes together principles critical to successful system development o C
School: USC
Course: Software Management & Economics
CS510 MidtermI Exam Fall 2013 3 questions, 100 points October 4, 2013 Name: _ Student ID: _ Email: _ DEN Student: Yes/No Question 1 (25) Question 2 (40) Question 3 (35) Total (100) Question 1 Risk and Business Case Analysis (25 points) You have heard a r
School: USC
Course: Web Tech
Computer Science 571 MidTerm Section 1  Prof. Papa Thursday, February 24, 2011, 5:30pm 6:40pm Name: Social Security or Student Id Number: 1. This is a closed book exam. 2. Please answer all questions. 3. Place all answers on the exam and return the entir
School: USC
Course: Analysis Of Agorithms
Homework: XML Exercise 1. Objectives Become familiar with the DOM paradigm; Use an existing XML parser; Transform the content of an XML document into an HTML page. 2. Description You are required to write a HTML/JavaScript program, which takes the URL
School: USC
Course: Analysis Of Agorithms
Homework: XML Exercise 1. Objectives Become familiar with the DOM paradigm; Use an existing XML parser; Transform the content of an XML document into an HTML page. 2. Description You are required to write a HTML/JavaScript program, which takes the URL
School: USC
Course: Analysis Of Agorithms
Data Structures and Algorithms in Java Michael T. Goodrich Department of Computer Science University of California, Irvine 1 Roberto Tamassia Department of Computer Science Brown University 0471738840 Fourth Edition John Wiley & Sons, Inc. ASSOCIATE PU
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Introduction Shahin Nazarian Summer 2012 Network A network is a set of devices (often referred to as _) connected by communication _ A node can be a computer, printe
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Performance and Latency Measures Shahin Nazarian Summer 2012 Network Performance Measures Two most important measures are delay or latency _ (in seconds) and
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Data Link Layer Shahin Nazarian Summer 2012 Data Link Layer (DLL) a Link to Link Protocol Every layer provides a set of services and provides it to the layer _ it DLL
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Layer Shahin Nazarian Summer 2012 Position of IPv4 in TCP/IP Protocol Suite The Internet Protocol version 4 (_) is the delivery mechanism used by the TCP/IP pr
School: USC
Course: UI Design
Title: Authors: Published in: Name: Engineering Research Paper QuestionAnswer Form What is your takeaway message from this paper? What is the motivation for this work (both people problem and technical problem), and its distillation into a research que
School: USC
Course: OPERATING SYSTEMS
USC CSCI 402x Synchronization Ted Faber faber@isi.edu Synchronization Concurrency: multiple simultaneous procs Multiple CPUs One CPU periodically interrupting and context switching Instructions interleave arbitrarily Synchronization Enables communication
School: USC
Course: DATABASE
CS585 Database Systems Spring 2009 Final Exam Name: _ Student ID: _ Maximum 20 15 10 20 15 20 100 Received Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Problem 1 (20 points) Briefly answer the following questions: a) 4pts Define a vie
School: USC
Course: Software Management & Economics
CS510 MidtermI Exam Fall 2013 3 questions, 100 points October 4, 2013 Name: _ Student ID: _ Email: _ DEN Student: Yes/No Question 1 (25) Question 2 (40) Question 3 (35) Total (100) Question 1 Risk and Business Case Analysis (25 points) You have heard a r
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Total Maximum 20 10 10 15 20 15 10 100 Received 1) 20 pts Mark the following statements as TRUE or FALSE. No need t
School: USC
CS570 Analysis of Algorithms Spring 2009 Exam II Name: _ Student ID: _ _2:005:00 Friday Section _5:008:00 Friday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Total 2 hr exam Close book and notes Maximum 20 20 20 20 20 100 Received 1) 20 pts
School: USC
Course: Analysis Of Agorithms
Homework #2 1. Suppose you were to drive from USC to Santa Monica along I10. Your gas tank, when full, holds enough gas to go p miles, and you have a map that contains the information on the distances between gas stations along the route. Let d1 < d2 < <
School: USC
Course: Analysis Of Agorithms
CS570 Fall 2012 HW 2 Instructor: Dr. Shawn Shamsian Assigned: 09.06.2012; Due: 02:00 pm (PST), 09.13.2012 Submission Instructions: Please send electronically to csci570@usc.edu before due. Both pdf and word files are accepted. If you have any questions ab
School: USC
Course: Artificial
CS585 Database Systems Fall 2007 Professor Dennis McLeod Assignment 2 Due: October 25, 2007 In this assignment, you will have the opportunity to explore the relationship between CIOM and the relational database model as well as gain experience with SQL. P
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 1 Due May 27, 11:59 pm. Email submissions to cs570hw@gmail.com 1. Solve Kleinberg and Tardos, Chapter 1, Exercise 1. 2. Solve Kleinberg and Tardos, Chapter 1, Exercise 2. 3. State True/False: An instance of the stable marriage
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 5 Due June 12th , 2014 1. Problem 5 from Chapter 6. 2. Problem 6 from Chapter 6. 3. Problem 7 from Chapter 6. 4. Problem 12 from Chapter 6. 5. (Dicult, optional) You are given n points cfw_(x1 , y1 ), (x2 , y2 ), . . . , (xn ,
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 3 Due May 31, 4:00 pm. Email submissions to cs570hw@gmail.com 1. Design an algorithm that given a directed graph with positive edge lengths, a source node s and a sink node t, computes the number of shortest paths from s to t.
School: USC
/ IfTest.cpp /#include <iostream> using namespace std; /*Read Gender code > For male is 'M' or 'm'. For female is 'F' or 'f'. Read Age: Four groups > 120, 2130, 3139, 40 and over. Print appropriate message. */ int main() cfw_ char gender; int age;
School: USC
CSCI 101: Fundamentals of Computer Programming Lab 4: Using If statements in C+ Programs 1) Open Lab4B.cpp and look over the program, read the comments to understand what the program is supposed to do. Compile and run Lab4B.cpp, test it to make sure it wo
School: USC
/Example: setprecision, fixed, showpoint #include <iostream> #include <string> #include <iomanip> using namespace std; int main() cfw_ double x,y,z; float A = 9 ; string Temp = "Hello"; x = 15.673; y = 235.736; z = 9525.9864765; cout < "\n\t\tNo format: \
School: USC
CSCI 101: Fundamentals of Computer Programming Fall 2009 Lab 3: First C+ Program 1) Compile and run program Lab3.cpp, modify the format modifiers and observe the effects on the output. 2) Given the following algorithm develop the C+ program for it. A) Inp
School: USC
CSCI 101: Fundamentals of Computer Programming Fall 2009 Lab 2: First C+ Program 1) Log into your UNIX account and type in the following program(use emacs or a similar test editor) , and save it as "Lunch.cpp". / Program Lunch calculates the number of cal
School: USC
CSCI 101: Fundamentals of Computer Programming Lab 1: Getting Started Fall 2009 General Introduction: TA/Grader Introductions Signup sheet (Name, Email) Class Web Site: http:/wwwscf.usc.edu/~csci101 0 Blackboard Web Site: blackboard.usc.edu 1 o You need
School: USC
Course: Algorithm
CSCI 570 Spring 2011 Syllabus Course Logistics Instructor Aaron Cote aaroncot@usc.edu SAL 216 M 12:303:30pm Teaching Assistant HsingHau Chen hsinghac@usc.edu TBA TBA Email Oce Oce Hours Lecture 1: TTh 11:00am12:20pm, ZHS352 Lecture 2: TTh 2:003:20pm,
School: USC
Syllabus CSci101L Fall 2009 Fundamentals of Computer Programming, 3 Units Section # Section 1 Section 2 Instructor: Office #: Office Phone: Office Fax: Email: Web Site: Blackboard: Office Hours: Required Text: ISBN: Author: Publisher: Course # 29900R 299
School: USC
SCIENTIFIC COMPUTING AND VISUALIZATION (Fall 08) Course Number: CSCI 596 Class Number: 30173R Instructor: Aiichiro Nakano; office: VHE 610; phone: (213) 8212657; email: anakano@usc.edu Lecture: 3:304:50pm M W, VHE 210 Office Hours: 3:304:50pm F Pr
School: USC
Course: DATABASE
CS585 Database Systems Spring 2009 Final Exam Name: _ Student ID: _ Maximum 20 15 10 20 15 20 100 Received Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Problem 1 (20 points) Briefly answer the following questions: a) 4pts Define a vie
School: USC
Course: Analysis Of Agorithms
Homework #2 1. Suppose you were to drive from USC to Santa Monica along I10. Your gas tank, when full, holds enough gas to go p miles, and you have a map that contains the information on the distances between gas stations along the route. Let d1 < d2 < <
School: USC
Course: SOFTWARE MANAGMENT
What is the ICM? Riskdriven framework for determining and evolving bestfit system lifecycle process Integrates the strengths of phased and riskdriven spiral process models Synthesizes together principles critical to successful system development o C
School: USC
Course: Software Management & Economics
CS510 MidtermI Exam Fall 2013 3 questions, 100 points October 4, 2013 Name: _ Student ID: _ Email: _ DEN Student: Yes/No Question 1 (25) Question 2 (40) Question 3 (35) Total (100) Question 1 Risk and Business Case Analysis (25 points) You have heard a r
School: USC
Course: Web Tech
Computer Science 571 MidTerm Section 1  Prof. Papa Thursday, February 24, 2011, 5:30pm 6:40pm Name: Social Security or Student Id Number: 1. This is a closed book exam. 2. Please answer all questions. 3. Place all answers on the exam and return the entir
School: USC
Course: Analysis Of Agorithms
Homework: XML Exercise 1. Objectives Become familiar with the DOM paradigm; Use an existing XML parser; Transform the content of an XML document into an HTML page. 2. Description You are required to write a HTML/JavaScript program, which takes the URL
School: USC
Course: Analysis Of Agorithms
CS570 Fall 2012 HW 2 Instructor: Dr. Shawn Shamsian Assigned: 09.06.2012; Due: 02:00 pm (PST), 09.13.2012 Submission Instructions: Please send electronically to csci570@usc.edu before due. Both pdf and word files are accepted. If you have any questions ab
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Total Maximum 20 10 10 15 20 15 10 100 Received 1) 20 pts Mark the following statements as TRUE or FALSE. No need t
School: USC
CS570 Analysis of Algorithms Spring 2009 Exam II Name: _ Student ID: _ _2:005:00 Friday Section _5:008:00 Friday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Total 2 hr exam Close book and notes Maximum 20 20 20 20 20 100 Received 1) 20 pts
School: USC
Course: Artificial
CS585 Database Systems Fall 2007 Professor Dennis McLeod Assignment 2 Due: October 25, 2007 In this assignment, you will have the opportunity to explore the relationship between CIOM and the relational database model as well as gain experience with SQL. P
School: USC
Course: Analysis Of Agorithms
Data Structures and Algorithms in Java Michael T. Goodrich Department of Computer Science University of California, Irvine 1 Roberto Tamassia Department of Computer Science Brown University 0471738840 Fourth Edition John Wiley & Sons, Inc. ASSOCIATE PU
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 1 Due May 27, 11:59 pm. Email submissions to cs570hw@gmail.com 1. Solve Kleinberg and Tardos, Chapter 1, Exercise 1. 2. Solve Kleinberg and Tardos, Chapter 1, Exercise 2. 3. State True/False: An instance of the stable marriage
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 5 Due June 12th , 2014 1. Problem 5 from Chapter 6. 2. Problem 6 from Chapter 6. 3. Problem 7 from Chapter 6. 4. Problem 12 from Chapter 6. 5. (Dicult, optional) You are given n points cfw_(x1 , y1 ), (x2 , y2 ), . . . , (xn ,
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 3 Due May 31, 4:00 pm. Email submissions to cs570hw@gmail.com 1. Design an algorithm that given a directed graph with positive edge lengths, a source node s and a sink node t, computes the number of shortest paths from s to t.
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 9 Due: Jun 27 1. Read section 11.1 (2approximation algorithm for minimizing makespan). 2. Given as input a 3CNF formula with n variables and m clauses, the MAXSAT problem (optimization version) is to nd a truth assignment to
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 2 Due May 29, 11:59 pm Email submissions to cs570hw@gmail.com 1. Solve Kleinberg and Tardos, Chapter 3, Exercise 2. 2. Solve Kleinberg and Tardos, Chapter 3, Exercise 6. 3. Solve Kleinberg and Tardos, Chapter 3, Exercise 7. 4.
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 4 Due June 5th , 2014 1. Solve Kleinberg and Tardos, Chapter 4, Exercise 8. 2. Assume that you are given a graph G and a minimum spanning tree T of G. A new edge e is added to G (without introducing any vertices) to create a ne
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 8 Due 11:59 pm, June 25, 2014. Email submissions to cs570hw@gmail.com 1. There is a precious diamond that is on display in a museum at m disjoint time intervals. There are n security guards who can be deployed to protect the pr
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 7 Due June 14, 11:59 pm email submissions to cs570hw@gmail.com 1. The edge connectivity of an undirected graph is the minimum number of edges whose removal disconnects the graph. Describe an algorithm to compute the edge connec
School: USC
Course: Design And Analysis Of Algorithms
CS303 (Spring 2008) Solutions to Assignment 9 Problem 1 (a) The three heavy jobs in our example have values 3, 3, 100, and the three light jobs are 2, 2, 2. Then, the greedy algorithm decides to do light jobs on days 1 and 2, and by the time day 3 comes a
School: USC
Course: Design And Analysis Of Algorithms
CS303 (Spring 2008) Solutions to Assignment 2 Problem 1 (a) Correctness Proof for Selection Sort We want to prove that the algorithm outputs a sorted array with the same elements as before. The main step in proving the correctness of this algorithm is co
School: USC
Course: Introduction To Intelligent Systems
CS4600  Introduction to Intelligent Systems Homework 3  Search  Solution A (h=5) 1 C (h=4) 3 4 I (h=3) 2 4 E (h=2) 2 4 2 J (h=2) G (h=4) F (h=2) 1 K (h=1) 1 M (h=0) Consider the graph given above. It shows the actual distances between cities on a map.
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Introduction Shahin Nazarian Summer 2012 Network A network is a set of devices (often referred to as _) connected by communication _ A node can be a computer, printe
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Performance and Latency Measures Shahin Nazarian Summer 2012 Network Performance Measures Two most important measures are delay or latency _ (in seconds) and
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Data Link Layer Shahin Nazarian Summer 2012 Data Link Layer (DLL) a Link to Link Protocol Every layer provides a set of services and provides it to the layer _ it DLL
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Layer Shahin Nazarian Summer 2012 Position of IPv4 in TCP/IP Protocol Suite The Internet Protocol version 4 (_) is the delivery mechanism used by the TCP/IP pr
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Physical Layer Shahin Nazarian Summer 2012 Physical Layer Main Responsibilities Definition of Hardware Specifications: The details of operation of cables, connectors,
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Security Shahin Nazarian Summer 2012 What is Network Security? _: _ Only sender, intended receiver should understand message contents co n de nti ali Sender e
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Transport Layer Shahin Nazarian Summer 2012 Layer Relations Shahin Nazarian/EE450/Summer 2012 2 Transport Layer Data Link layer is responsible for _to_ delivery, i.e
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Connecting Devices Shahin Nazarian Summer 2012 ! I wonder where Alice moved to? Shahin Nazarian/EE450/Summer 2012 Connecting Devices Connecting devices are layer1 devi
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Protocols and Layering Shahin Nazarian Summer 2012 An Example a Human Protocol: Tasks Involved in Sending a Letter Shahin Nazarian/EE450/Summer 2012 2 What is
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Data Link Layer Shahin Nazarian Summer 2012 Data Link Layer (DLL) a Link to Link Protocol Every layer provides a set of services and provides it to the layer _ it DLL
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Switching Technologies Shahin Nazarian Summer 2012 Switched (or Switching) Technologies Two main switching technologies are: _switched (used in PSTN) _switched (us
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Socket Programming Shahin Nazarian Summer 2012 Network Applications Development To develop a network application, you should write programs (e.g., in C+ or Java) that
School: USC
Course: OPERATING SYSTEMS
USC CSCI 402x Synchronization Ted Faber faber@isi.edu Synchronization Concurrency: multiple simultaneous procs Multiple CPUs One CPU periodically interrupting and context switching Instructions interleave arbitrarily Synchronization Enables communication
School: USC
Course: OPERATING SYSTEMS
Name: ID: Midterm Exam CS402 29 Mar 2012 You have 1 hr. 20 min. for this exam. The exam has 8 pages. There are 95 possible points. Show all your work for partial credit. Denitions Each question is worth 1 point. Answer all questions in this section. 1. Gi
School: USC
Course: Analysis Of Agorithms
Inaownetworkwhoseedgeshavecapacity1,themaximumowalwayscorrespondstothe maximumdegreeofavertexinthenetwork. FALSE] Ifalledgecapacitiesofaownetworkareunique,thenthemincutisalsounique. [FALSE] Given a flow network G and a maximum flow of G that has already b
School: USC
Course: Analysis Of Agorithms
Big O Notation Def: O(g(n)=cfw_ f(n): there exist positive constants c and n0 such that 0f(n)cg(n) for all nn0 f(n)=O(g(n) is actually f(n)O(g(n) (.): f(n)=O(g(n) g(n)=(f(n) (.): f(n)=(g(n) f(n)=O(g(n) and f(n)=(g(n) The order of common seen functions: ,
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2012 Exam I Name: _ Student ID: _ _12:30 1:50 session Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total _ 2:00 3:20 session Maximum 20 20 20 20 10 10 100 Received 2 hr exam Close book and notes If a desc
School: USC
Course: Analysis Of Agorithms
1. T (n) = 2T (n/2) + n > O(nlgn) induction step base case n=2, n=3 2. T (n) = 2T (n/2 + 17) + n > O(nlgn) base case n = 35 3. T (n) c n/2 + c n/2 + 1 O(cnb) 4. T (n) = 2T (n) + lg n same as T (2m) = 2T (2m/2) + m O(mlgm)
School: USC
Course: Analysis Of Agorithms
algo site asymptotic http:/www.cse.unl.edu/~choueiry/S06235/files/AsymptoticsHandoutNoNotes.pdf
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 10 20 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts By using Strassen's algorithm, we can
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Midterm 1) Briefly describe the following algorithm techniques. (20 pts) a) Greedy method b) Dynamic programming c) Divide and conquer What is the commonality between the two approaches of dynamic programming and div
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Final Exam Name: _ Student ID: _ 1) a. Which of the diagrams below best describes the relationship between P, NP, and NPComplete problems? (25 pts) NP NP P NPC A b. NPC P B NP NPC NPC P NP C Each diagram represents
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Midterm 1) Briefly describe the following algorithm techniques. (20 pts) a) Greedy method b) Dynamic programming c) Divide and conquer What is the commonality between the two approaches of dynamic programming and div
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ 1) 20 pts Binomial minheap H1 contains elements cfw_12, 7, 25, 15, 28, 41, 33, and binomial minheap H2 contains elements cfw_18, 3, 37, 6, 8, 30, 45, 55, 32, 23, 24, 22, 29, 48,
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Final Exam Name: _ Student ID: _ 1 10 pts a) The NPcomplete problem X has a polynomial time 2approximation algorithm A. X can be reduced to problem Y. Can A be used to find a 2approximation to Y? Answer Yes, No
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ 1) 20 pts Prove that the following problem is NPcomplete. Given a strongly connected directed graph G = (V,E) and a subset S V , find a strongly connected subgraph of G of minimu
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ Problem No. 1 2 3 4 5 6 Total Max. Points 20 15 20 15 15 15 100 Received 1) 20 pts Consider the following two problems: In P1 we are given as input a set of n squares (specified b
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 10 20 25 25 20 Received 1) 10 pts A divide and conquer algorithm is constructed the following way Divide: Split the problem (or
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 10 20 25 25 20 Received 1) 10 pts A divide and conquer algorithm is constructed the following way Divide: Split the problem (or
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 10 20 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts By using Strassen's algorithm, we can
School: USC
Course: Analysis Of Agorithms
Homework: XML Exercise 1. Objectives Become familiar with the DOM paradigm; Use an existing XML parser; Transform the content of an XML document into an HTML page. 2. Description You are required to write a HTML/JavaScript program, which takes the URL
School: USC
Course: Analysis Of Agorithms
Data Structures and Algorithms in Java Michael T. Goodrich Department of Computer Science University of California, Irvine 1 Roberto Tamassia Department of Computer Science Brown University 0471738840 Fourth Edition John Wiley & Sons, Inc. ASSOCIATE PU
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Introduction Shahin Nazarian Summer 2012 Network A network is a set of devices (often referred to as _) connected by communication _ A node can be a computer, printe
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Performance and Latency Measures Shahin Nazarian Summer 2012 Network Performance Measures Two most important measures are delay or latency _ (in seconds) and
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Data Link Layer Shahin Nazarian Summer 2012 Data Link Layer (DLL) a Link to Link Protocol Every layer provides a set of services and provides it to the layer _ it DLL
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Layer Shahin Nazarian Summer 2012 Position of IPv4 in TCP/IP Protocol Suite The Internet Protocol version 4 (_) is the delivery mechanism used by the TCP/IP pr
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Physical Layer Shahin Nazarian Summer 2012 Physical Layer Main Responsibilities Definition of Hardware Specifications: The details of operation of cables, connectors,
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Security Shahin Nazarian Summer 2012 What is Network Security? _: _ Only sender, intended receiver should understand message contents co n de nti ali Sender e
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Transport Layer Shahin Nazarian Summer 2012 Layer Relations Shahin Nazarian/EE450/Summer 2012 2 Transport Layer Data Link layer is responsible for _to_ delivery, i.e
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Connecting Devices Shahin Nazarian Summer 2012 ! I wonder where Alice moved to? Shahin Nazarian/EE450/Summer 2012 Connecting Devices Connecting devices are layer1 devi
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Network Protocols and Layering Shahin Nazarian Summer 2012 An Example a Human Protocol: Tasks Involved in Sending a Letter Shahin Nazarian/EE450/Summer 2012 2 What is
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Data Link Layer Shahin Nazarian Summer 2012 Data Link Layer (DLL) a Link to Link Protocol Every layer provides a set of services and provides it to the layer _ it DLL
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Switching Technologies Shahin Nazarian Summer 2012 Switched (or Switching) Technologies Two main switching technologies are: _switched (used in PSTN) _switched (us
School: USC
Course: Introduction To Computer Networks
University of Southern California Viterbi School of Engineering EE450 Computer Networks Socket Programming Shahin Nazarian Summer 2012 Network Applications Development To develop a network application, you should write programs (e.g., in C+ or Java) that
School: USC
Course: Analysis Of Agorithms
Inaownetworkwhoseedgeshavecapacity1,themaximumowalwayscorrespondstothe maximumdegreeofavertexinthenetwork. FALSE] Ifalledgecapacitiesofaownetworkareunique,thenthemincutisalsounique. [FALSE] Given a flow network G and a maximum flow of G that has already b
School: USC
Course: Analysis Of Agorithms
Big O Notation Def: O(g(n)=cfw_ f(n): there exist positive constants c and n0 such that 0f(n)cg(n) for all nn0 f(n)=O(g(n) is actually f(n)O(g(n) (.): f(n)=O(g(n) g(n)=(f(n) (.): f(n)=(g(n) f(n)=O(g(n) and f(n)=(g(n) The order of common seen functions: ,
School: USC
Course: Analysis Of Agorithms
1. T (n) = 2T (n/2) + n > O(nlgn) induction step base case n=2, n=3 2. T (n) = 2T (n/2 + 17) + n > O(nlgn) base case n = 35 3. T (n) c n/2 + c n/2 + 1 O(cnb) 4. T (n) = 2T (n) + lg n same as T (2m) = 2T (2m/2) + m O(mlgm)
School: USC
Course: Analysis Of Agorithms
algo site asymptotic http:/www.cse.unl.edu/~choueiry/S06235/files/AsymptoticsHandoutNoNotes.pdf
School: USC
Course: Analysis Of Agorithms
Advance Praise for Head First Python Head First Python is a great introduction to not just the Python language, but Python as its used in the real world. The book goes beyond the syntax to teach you how to create applications for Android phones, Googles A
School: USC
Course: Analysis Of Agorithms
CSCI 570  Spring 2014  HW 2 1. Reading Assignment: Kleinberg and Tardos, Chapter 2 and 3. 2. Solve Kleinberg and Tardos, Chapter 2, Exercise 3. In ascending order of growth, the list is f2 (n), f3 (n), f6 (n), f1 (n), f4 (n), f5 (n). 3. Solve Kleinberg
School: USC
Course: Analysis Of Agorithms
Basics about you 1. Your name: 2. Your email address: 3. Your major and degree program: 4. Your areas of research interests (if applicable) feel free to list multiple areas if you are undecided:1 5. Titles of relevant classes you have taken before this m
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Course: Analysis Of Agorithms
Background Knowledge (Total 36 points) This section tries to ascertain some basic knowledge we hope you acquired before. This is not a quiz, and your performance here will not affect your grade. However, if you have serious problems in this section, it ma
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Course: Analysis Of Agorithms
International Admissions and Services REDUCED COURSE LOAD (RCL) INFORMATION AND REQUEST FORM International students in F1 and J1 status are required to maintain fulltime enrollment during the academic year. If you cannot or will not meet this requireme
School: USC
Course: Analysis Of Agorithms
Basics about you 1. Your name: 2. Your email address: 3. Your major and degree program: 4. Your areas of research interests (if applicable) feel free to list multiple areas if you are undecided:1 5. Titles of relevant classes you have taken before this m
School: USC
Course: Analysis Of Agorithms
T H O M A S H. C O R M E N C H A R L E S E. L E I S E R S O N R O N A L D L. R I V E S T C L I F F O R D STEIN INTRODUCTION TO ALGORITHMS THIRD EDITION Introduction to Algorithms Third Edition Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Cliffor
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Course: Analysis Of Agorithms
First Draft of Project 3 Xuanyi Qi Pingchuan Liu 1. Description of QR code QR code is the trademark for a type of matrix barcode, which can be read by an imaging device (such as a camera) and processed using ReedSolomon error correction until the image c
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Course: Analysis Of Agorithms
Computer Science 571 Exam #1 Prof. Papa Thursday, February 28, 2013, 5:30pm 6:45pm Name: Social Security or Student Id Number: 1. This is a closed book exam. 2. Please answer all questions. 3. Place all answers on the exam and return the entire exam HTTP
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Course: Analysis Of Agorithms
M.S. Computer Science Graduate Student Handbook Spring 2014 http:/www.cs.usc.edu Table of Contents Registration for Spring 2014 Courses . 3 EE 450 Placement Exam . 4 American Language Institute (ALI) Students / (International Student English) ISE exam . 5
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Course: Analysis Of Agorithms
Computer Science 571 MidTerm Prof. Horowitz Thursday, October 11, 2012, 9:30am 10:45am Name: Student ID Number: 1. This is a closed book exam. 2. Please answer all questions. 3. Place all answers on the exam and
School: USC
Course: Analysis Of Agorithms
Computer Science 571 Exam #1 Prof. Papa Thursday, October 11, 2012, 5:30pm 6:45pm Name: Social Security or Student Id Number: 1. This is a closed book exam. 2. Please answer all questions. 3. Place all answers on the exam and return the entire exam WEB SE
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University of Southern California Center for Systems and Software Engineering Software Engineering: Overview of Selby/Boehm book Barry Boehm, USC CS 510 Fall 2012 boehm@usc.edu http:/csse.usc.edu University of Southern California Center for Systems and So
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University of Southern California Center for Systems and Software Engineering ValueBased Software Engineering CS 577a Software Engineering I Barry Boehm Fall 2012 University of Southern California Center for Systems and Software Engineering Why Software
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USC CSE University of Southern California Center for Software Engineering Software Risk Management and the COCOMO Model Barry Boehm USC Fall 2012 USC CSE University of Southern California Center for Software Engineering Outline What is Software Risk Mana
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USC CSE University of Southern California Center for Software Engineering ValueBased Software Engineering: Case Study and ValueBased Control Barry Boehm, USC CS 510 Lecture Fall 2012 USC CSE University of Southern California Center for Software Engineer
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Course Overview CS 510 Software Management and Economics Fall 2012 Barry Boehm, USC Outline Course objective Help you learn to be a successful software manager For a career lasting through the 2040s. Software management learning objectives What does
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Business Case Analysis Guideline Table of Contents i Table of Tables Table 1: Comparison of financial analysis techniques. 7 ii Table of Figures Figure 1: Breakeven Analysis.4 Figure 2: Value Chain Analysis [1].5 Figure 3: Pareto Chart.6 iii 1. Financial
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Software Runaways 2.5.2 WHEN PROFESSIONTAL STAAIARDS ARE LAX: THE CONFIRM FAILURE AND ITS LESSONS by Effy OZ In 1988, a consortium comprised of Hilton Hotels Corporation, Marriott Corporation, and Budget RentACar Corporation subcontracted a largescale
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Educating Software Engineering Students to Manage Risk Barry Boehm and Dan Port, USC 1. Motivation & Context The increasing pace of change in information technology (IT) makes onesize fitsall, cookbook solutions increasingly inadequate. Yet students ar
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Using the Incremental Commitment Model to Integrate System Acquisition, Systems Engineering, and Software Engineering Barry Boehm and Jo Ann Lane University of Southern California Center for Systems and Software Engineering One of the top recommendations
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Analysis of LongLived Assets FIBD  Fall, 2006 Expensing vs. Capitalizing One of the key issues surrounding assets is when to expense a cost and when to capitalize a cost. Expensing involves charging the entire cost of an item to the current period. Cap
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Spring 2014 Patel Green Sheet ISE 200 Financial Methods for Engineers (Acceptable as an elective in several MSE concentrations, see your advisor to confirm) Instructor: M. Patel Office Location: ENG 485E Office Phone: 9244152 Email: minnie.patel@sjsu.ed
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About Business Analyst Mentor About this guide Who is this guide for? Its a common misconception that you need technical knowledge to be a business analyst. This is not true. It can be helpful but is not essential. Why become a business analyst? In the UK
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Chapter 2 Introduction to Financial Statements and the Accounting Equations 1 Financial Statements Financial history is recorded and presented using the Accounting Equation and financial statements By studying financial statements, the reader can begin
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Chapter 1 Introduction to Financial Decisions 1 Relevant Topics Why are the topics covered in the textbook relevant? Good technical design of products requires economic analysis Everyone that earns or spends money should understand economic analysis Succe
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Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) November 19, 2013: Deletions in 23 Trees and RedBlack Trees Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we reviewed in more detail how to delete a key from a 23 tree. Next
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 24, 2013: Inheritance and Polymorphism Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we followed up on our study of inheritance. When functions are overwritten, there
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 26, 2013: Implementing the List Data Type; Stacks and Queues Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we looked at two implementations of the List data type from
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) October 1, 2013: Stacks and Queues Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we explored stacks and queues in more detail. We saw what functionality they provide, how they
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) October 8, 2013: Iterators Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we learned about iterators. The idea of an iterator is to provide a functionality to go through all ele
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Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) October 3, 2013: Error Handling, Constructors, and Overloading Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we learned about various useful C+ constructs. We learned how to ha
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 19, 2013: Templates, Continued; Inheritance Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we continued with the topic of template classes, and learned about inheritan
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Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 17, 2013: Objectoriented programming basics Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we learned the basics of objectoriented programming: the idea of classes a
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) August 27, 2013: Course Overview Scribes: CSCI104 Teaching Team Lecture Summary In this lecture, we went in detail over the class policies, and saw an overview of what we will be learning in cl
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 3, 2013: Dynamic Memory, continued; A Refresher on Recursion Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we continue our review of dynamic memory by talking about m
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Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) August 29, 2013: A Refresher on Dynamic Memory Scribes: CSCI104 Teaching Team Lecture Summary In this lecture, we begin a brief review of some of the basics, by talking about dynamic memory all
School: USC
Course: Data Structures And ObjectOriented Design
CS104: Data Structures and ObjectOriented Design (Fall 2013) September 12, 2013: Linked Lists, continued; Abstract Data Types Scribes: CS 104 Teaching Team Lecture Summary In this lecture, we followed up in more depth about linked lists. We covered a rec
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Course: UI Design
Title: Authors: Published in: Name: Engineering Research Paper QuestionAnswer Form What is your takeaway message from this paper? What is the motivation for this work (both people problem and technical problem), and its distillation into a research que
School: USC
Course: OPERATING SYSTEMS
USC CSCI 402x Synchronization Ted Faber faber@isi.edu Synchronization Concurrency: multiple simultaneous procs Multiple CPUs One CPU periodically interrupting and context switching Instructions interleave arbitrarily Synchronization Enables communication
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Course: Advanced Topics In Quantum Fault Tolerance
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Course: Advanced Topics In Quantum Fault Tolerance
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Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
School: USC
Course: Advanced Topics In Quantum Fault Tolerance
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Course: Advanced Topics In Quantum Fault Tolerance
CS 798: Quantum Fault Tolerance lecture 6: Faulttolerant measurement and computation (1/28/10)
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Course: Advanced Topics In Quantum Fault Tolerance
CS 798: Quantum Fault Tolerance lecture 5: Threshold 1/2 for erasure error recap
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Course: Advanced Topics In Quantum Fault Tolerance
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Course: Advanced Topics In Quantum Fault Tolerance
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Course: Advanced Topics In Quantum Fault Tolerance
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Lecture CS571  Course Introduction Copyright Ellis Horowitz 19992012 Course Intro 1 CS571: Web Technologies Instructor: Prof. Ellis Horowitz office: SAL 320 email: horowitz@usc.edu office hours: Tuesday/Thursday 8:309:30 AM and 11:00 noon or by appoin
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Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), Wed 2:454:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10amnoon, PHE 328 Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10amnoon Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10amnoon Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10amnoon Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), Wed 2:454:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10amnoon, PHE 328 Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), Wed 2:454:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10amnoon, PHE 328 Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment
School: USC
Course: Artificial
CS 561: Artificial Intelligence Instructor: TA: Sofus A. Macskassy, macskass@usc.edu Harris Chiu (chichiu@usc.edu), Wed 2:454:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10amnoon, PHE 328 Lectures: MW 5:006:20pm, ZHS 159 Office hours: By appointment
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Course: DATABASE
CS585 Database Systems Spring 2009 Final Exam Name: _ Student ID: _ Maximum 20 15 10 20 15 20 100 Received Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Problem 1 (20 points) Briefly answer the following questions: a) 4pts Define a vie
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Course: Software Management & Economics
CS510 MidtermI Exam Fall 2013 3 questions, 100 points October 4, 2013 Name: _ Student ID: _ Email: _ DEN Student: Yes/No Question 1 (25) Question 2 (40) Question 3 (35) Total (100) Question 1 Risk and Business Case Analysis (25 points) You have heard a r
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Total Maximum 20 10 10 15 20 15 10 100 Received 1) 20 pts Mark the following statements as TRUE or FALSE. No need t
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CS570 Analysis of Algorithms Spring 2009 Exam II Name: _ Student ID: _ _2:005:00 Friday Section _5:008:00 Friday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Total 2 hr exam Close book and notes Maximum 20 20 20 20 20 100 Received 1) 20 pts
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Course: OPERATING SYSTEMS
Name: ID: Midterm Exam CS402 29 Mar 2012 You have 1 hr. 20 min. for this exam. The exam has 8 pages. There are 95 possible points. Show all your work for partial credit. Denitions Each question is worth 1 point. Answer all questions in this section. 1. Gi
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2012 Exam I Name: _ Student ID: _ _12:30 1:50 session Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total _ 2:00 3:20 session Maximum 20 20 20 20 10 10 100 Received 2 hr exam Close book and notes If a desc
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 10 20 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts By using Strassen's algorithm, we can
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Midterm 1) Briefly describe the following algorithm techniques. (20 pts) a) Greedy method b) Dynamic programming c) Divide and conquer What is the commonality between the two approaches of dynamic programming and div
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Final Exam Name: _ Student ID: _ 1) a. Which of the diagrams below best describes the relationship between P, NP, and NPComplete problems? (25 pts) NP NP P NPC A b. NPC P B NP NPC NPC P NP C Each diagram represents
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Midterm 1) Briefly describe the following algorithm techniques. (20 pts) a) Greedy method b) Dynamic programming c) Divide and conquer What is the commonality between the two approaches of dynamic programming and div
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ 1) 20 pts Binomial minheap H1 contains elements cfw_12, 7, 25, 15, 28, 41, 33, and binomial minheap H2 contains elements cfw_18, 3, 37, 6, 8, 30, 45, 55, 32, 23, 24, 22, 29, 48,
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Midterm Exam Name: _ Student ID: _ 1) 12 pts Considering an undirected graph G=(V, E), are the following statements true or false? Provide a brief explanation. The space provided should suffice. A Suppose all edge
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Final Exam Name: _ Student ID: _ 1 10 pts a) The NPcomplete problem X has a polynomial time 2approximation algorithm A. X can be reduced to problem Y. Can A be used to find a 2approximation to Y? Answer Yes, No
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ 1) 20 pts Prove that the following problem is NPcomplete. Given a strongly connected directed graph G = (V,E) and a subset S V , find a strongly connected subgraph of G of minimu
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ Problem No. 1 2 3 4 5 6 Total Max. Points 20 15 20 15 15 15 100 Received 1) 20 pts Consider the following two problems: In P1 we are given as input a set of n squares (specified b
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 10 20 25 25 20 Received 1) 10 pts A divide and conquer algorithm is constructed the following way Divide: Split the problem (or
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 10 20 25 25 20 Received 1) 10 pts A divide and conquer algorithm is constructed the following way Divide: Split the problem (or
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 10 20 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts By using Strassen's algorithm, we can
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 20 10 10 10 10 20 20 Received 1) 20 pts Mark the following statements as TRUE or FALSE. No need to provide
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 20 15 15 15 15 20 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statements as T
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2007 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 14 6 15 20 15 20 10 Note: The exam is closed book closed notes. Received 1) 14 pts Mark the following state
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ Problem No. 1 2 3 4 5 6 Total Max. Points 20 15 20 15 15 15 100 Received 1) 20 pts Consider the following two problems: In P1 we are given as input a set of n squares (specified b
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2007 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 14 6 15 20 15 20 10 Note: The exam is closed book closed notes. Received 1) 14 pts Mark the following state
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 1 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 20 10 10 10 10 20 20 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statem
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 20 10 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts Mark the following statements as TRU
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2008 Exam II Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Maximum 20 15 15 15 20 15 100 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statem
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2008 Exam II Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Maximum 20 15 15 15 20 15 100 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statem
School: USC
Course: Analysis Of Agorithms
CS 570 Analysis of Algorithms Summer 2007 Final Exam Solutions Kenny Daniel (kfdaniel@usc.edu) Question 1 [ FALSE ] If A is linear time reducible to B (A B), and B is NPcomplete, then A must be NPcomplete. [ FALSE ] If B is linear time reducible to A (B
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2008 Final Exam Name: _ Student ID: _ _4:00  5:40 Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total 2 hr exam Close book and notes Maximum 20 16 16 16 16 16 100 _6:00 7:40 Section Received 1) 20
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Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2011 Exam I Name: _ Student ID: _ DEN Student _YES _NO Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Total 2 hr exam Close book and notes Maximum 20 15 10 10 15 15 15 100 Received If a descriptio
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Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2008 Exam II Name: _ Student ID: _ _4:00  5:40 Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Maximum 15 15 15 20 20 15 100 _6:00 7:40 Section Received 2 hr exam Close book and notes 1) 15 pt
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Maximum 12 18 20 15 20 15 100 Received 1) 12 pts Mark the following statements as TRUE or FALSE. No need to provide
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2009 Exam I Solution 1) 20 pts Mark the following statements as TRUE or FALSE. No need to provide any justification. [ TRUE/FALSE ] Given a weighted graph and two nodes, it is possible to list all shortest paths betwee
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2008 Final Exam Name: _ Student ID: _ _Monday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Total 2 hr exam Close book and notes _Wednesday Section Maximum 20 10 10 20 20 10 10 100 _Friday
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 20 20 20 20 20 Received 1) 20 pts Decide whether you think the following statement is true or false. If it is true, give a
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Final Exam Name: _ Student ID: _ 1 10 pts a) The NPcomplete problem X has a polynomial time 2approximation algorithm A. X can be reduced to problem Y. Can A be used to find a 2approximation to Y? Answer Yes, No
School: USC
Course: Analysis Of Agorithms
Name(last, first): _ CS570 Analysis of Algorithms Fall 2005 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 20 10 10 15 15 15 15 Received Name(last, first): _ 1. 20 pts Define each of the foll
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Final Exam Name: _ Student ID: _ 1) a. Which of the diagrams below best describes the relationship between P, NP, and NPComplete problems? (25 pts) NP NP P NPC A NPC P B NP NPC NPC P NP C b. Each diagram represents
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 10 20 25 25 20 Received 1) 10 pts A divide and conquer algorithm is constructed the following way Divide: Split the problem (or
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 10 20 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts By using Strassen's algorithm, we can
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ Problem No. 1 2 3 4 5 6 Total Max. Points 20 15 20 15 15 15 100 Received 1) 20 pts Consider the following two problems: In P1 we are given as input a set of n squares (specified b
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2004 Final Exam Name: _ Student ID: _ 1) a. Which of the diagrams below best describes the relationship between P, NP, and NPComplete problems? (25 pts) NP NP P NPC A b. NPC P B NP NPC NPC P NP C Each diagram represents
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2005 Final Exam Name: _ Student ID: _ 1 10 pts a) The NPcomplete problem X has a polynomial time 2approximation algorithm A. X can be reduced to problem Y. Can A be used to find a 2approximation to Y? Answer Yes, No
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ Problem No. 1 2 3 4 5 6 Total Max. Points 20 15 20 15 15 15 100 Received 1) 20 pts Consider the following two problems: In P1 we are given as input a set of n squares (specified b
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 20 20 20 20 20 Received 1) 20 pts Decide whether you think the following statement is true or false. If it is true, give a
School: USC
Course: Analysis Of Agorithms
Name(last, first): _ CS570 Analysis of Algorithms Fall 2005 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Maximum 20 10 10 15 15 15 15 Received Name(last, first): _ 1. 20 pts Define each of the foll
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2010 Final Exam Name: _ Student ID: _ _Monday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total _Friday Section Maximum 20 20 20 10 20 10 100 _DEN Section Received 2 hr exam Close book and notes If
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2009 Final Exam Name: _ Student ID: _ Maximum Received Problem 1 10 Problem 2 20 Problem 3 15 Problem 4 20 Problem 5 Problem 6 Total 100 2hr exam, closed books and notes. 1) 10 pts For each of the following sentences, s
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2010 Final Exam Name: _ Student ID: _ _Check if DEN student Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total 2 hr exam Close book and notes Maximum 20 20 20 15 15 10 100 Received 1) 20 pts Mark the foll
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2006 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Maximum 20 20 20 20 20 Received 1) 20 pts Decide whether you think the following statement is true or false. If it is true, give a
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2005 Midterm Exam Name: _ Student ID: _ 1) 20 pts Prove that the following problem is NPcomplete. Given a strongly connected directed graph G = (V,E) and a subset S V , find a strongly connected subgraph of G of minimu
School: USC
Course: Analysis Of Agorithms
1) 20 pts Mark the following statements as TRUE, FALSE, or UNKOWN. No need to provide any justification. [ TRUE/FALSE ] Given a network G(V, E) and flow f, and the residual graph Gf (V, E), then V=V and 2E>=E. [ TRUE/FALSE ] The FordFulkerson Alg
School: USC
Course: Analysis Of Agorithms
CS 570 Analysis of Algorithms Spring 2008 Final Exam Solutions Kenny Daniel (kfdaniel@usc.edu) Question 1 [ FALSE ] In a ow network whose edges have capacity 1, the maximum ow always corresponds to the maximum degree of a vertex in the network. [ FALSE ]
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2010 Final Exam Name: _ Student ID: _ _Monday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Total _Friday Section Maximum 20 20 20 20 20 100 _DEN Section Received 2 hr exam Close book and notes If a descriptio
School: USC
Course: Software Management & Economics
CS510 Midterm II Fall 2013 3 questions, 100 points November 04, 2013 Name: _ Student ID: _ Email: _ DEN Student: Yes/No Question 1 (30) Question 2 (30) Question 3 (40) Total (100) Question 1 (30 points) Short answers a. (5 points) What are the differences
School: USC
Course: Analysis Of Agorithms
Homework #2 1. Suppose you were to drive from USC to Santa Monica along I10. Your gas tank, when full, holds enough gas to go p miles, and you have a map that contains the information on the distances between gas stations along the route. Let d1 < d2 < <
School: USC
Course: Analysis Of Agorithms
CS570 Fall 2012 HW 2 Instructor: Dr. Shawn Shamsian Assigned: 09.06.2012; Due: 02:00 pm (PST), 09.13.2012 Submission Instructions: Please send electronically to csci570@usc.edu before due. Both pdf and word files are accepted. If you have any questions ab
School: USC
Course: Artificial
CS585 Database Systems Fall 2007 Professor Dennis McLeod Assignment 2 Due: October 25, 2007 In this assignment, you will have the opportunity to explore the relationship between CIOM and the relational database model as well as gain experience with SQL. P
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 1 Due May 27, 11:59 pm. Email submissions to cs570hw@gmail.com 1. Solve Kleinberg and Tardos, Chapter 1, Exercise 1. 2. Solve Kleinberg and Tardos, Chapter 1, Exercise 2. 3. State True/False: An instance of the stable marriage
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 5 Due June 12th , 2014 1. Problem 5 from Chapter 6. 2. Problem 6 from Chapter 6. 3. Problem 7 from Chapter 6. 4. Problem 12 from Chapter 6. 5. (Dicult, optional) You are given n points cfw_(x1 , y1 ), (x2 , y2 ), . . . , (xn ,
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 3 Due May 31, 4:00 pm. Email submissions to cs570hw@gmail.com 1. Design an algorithm that given a directed graph with positive edge lengths, a source node s and a sink node t, computes the number of shortest paths from s to t.
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 9 Due: Jun 27 1. Read section 11.1 (2approximation algorithm for minimizing makespan). 2. Given as input a 3CNF formula with n variables and m clauses, the MAXSAT problem (optimization version) is to nd a truth assignment to
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 2 Due May 29, 11:59 pm Email submissions to cs570hw@gmail.com 1. Solve Kleinberg and Tardos, Chapter 3, Exercise 2. 2. Solve Kleinberg and Tardos, Chapter 3, Exercise 6. 3. Solve Kleinberg and Tardos, Chapter 3, Exercise 7. 4.
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 4 Due June 5th , 2014 1. Solve Kleinberg and Tardos, Chapter 4, Exercise 8. 2. Assume that you are given a graph G and a minimum spanning tree T of G. A new edge e is added to G (without introducing any vertices) to create a ne
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 8 Due 11:59 pm, June 25, 2014. Email submissions to cs570hw@gmail.com 1. There is a precious diamond that is on display in a museum at m disjoint time intervals. There are n security guards who can be deployed to protect the pr
School: USC
Course: OPERATING SYSTEMS
CSCI 570  Summer 2014  HW 7 Due June 14, 11:59 pm email submissions to cs570hw@gmail.com 1. The edge connectivity of an undirected graph is the minimum number of edges whose removal disconnects the graph. Describe an algorithm to compute the edge connec
School: USC
Course: Design And Analysis Of Algorithms
CS303 (Spring 2008) Solutions to Assignment 9 Problem 1 (a) The three heavy jobs in our example have values 3, 3, 100, and the three light jobs are 2, 2, 2. Then, the greedy algorithm decides to do light jobs on days 1 and 2, and by the time day 3 comes a
School: USC
Course: Design And Analysis Of Algorithms
CS303 (Spring 2008) Solutions to Assignment 2 Problem 1 (a) Correctness Proof for Selection Sort We want to prove that the algorithm outputs a sorted array with the same elements as before. The main step in proving the correctness of this algorithm is co
School: USC
Course: Introduction To Intelligent Systems
CS4600  Introduction to Intelligent Systems Homework 3  Search  Solution A (h=5) 1 C (h=4) 3 4 I (h=3) 2 4 E (h=2) 2 4 2 J (h=2) G (h=4) F (h=2) 1 K (h=1) 1 M (h=0) Consider the graph given above. It shows the actual distances between cities on a map.
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2008 Final Exam Name: _ Student ID: _ _4:00  5:40 Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total 2 hr exam Close book and notes Maximum 20 16 16 16 16 16 100 _6:00 7:40 Section Received 1) 20
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2006 Final Exam Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 20 15 15 15 15 20 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statements as T
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Fall 2008 Exam II Name: _ Student ID: _ _Monday Section Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total 2 hr exam Close book and notes _Wednesday Section Maximum 20 15 15 15 20 15 100 _Friday Section Received
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Spring 2008 Exam II Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Total Maximum 20 15 15 15 20 15 100 Note: The exam is closed book closed notes. Received 1) 20 pts Mark the following statem
School: USC
Course: Analysis Of Agorithms
CS570 Analysis of Algorithms Summer 2007 Exam 2 Name: _ Student ID: _ Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Maximum 10 20 20 10 20 20 Note: The exam is closed book closed notes. Received 1) 10 pts Mark the following statements as TRU
School: USC
Course: Software Management & Economics
Homework #3, CS510, Fall 2013 The first problem must be done manually with no estimation tool. The other problems can be done with USC COCOMO, another COCOMO tool or by hand. Show all your work including model inputs and outputs. 1. Calculate the effort a
School: USC
Course: Software Management & Economics
Ihsan HW4 answers 100KSLOC 10K/personmonth all other scale factors and cost drivers are nominal. RELY = H, SCED = VL 75%: RELY = 1.1 SCED = 1,43 Effort: 2.94 x (100^B) x SCED x RELY =2.94 x 100^1.1 x 1.43 x 1.1 = 732.95 personmonths 732.95 x 10K = 7329.
School: USC
Course: Software Management & Economics
Homework #5, CS510, Fall 2013 Due Monday. Noon, October 14, 40 points MultiBuild Cost Analysis Using COINCOMO Readings: COCOMO Book Chapter 1 and 2 or EP10 & 11 COINCOMO documentation from the tools page The COINCOMO tool is downloadable from the clas
School: USC
Course: Software Management & Economics
Homework 6 Economic Analysis (40 points) Due: Monday October 28, 2013 Readings: EP14, EP15, EP16, EP17 (Password will be posted on the announcement section on DEN) 1. (20 points). Sierra Mountainbikes has two choices for its next year's product line
School: USC
Course: Web Tech
Homework 6: Serverside Scripting 1. Objectives Get experience with Perl or PHP p rogramming language; Get experience with CGI programming; Get experience parsing text using regular e xpressions 2. Description In this exercise, you are asked to create a w
School: USC
Course: Analysis Of Agorithms
CSCI570 Fall 2012 Homework 4 Instructor: Dr. Shawn Shamsian Due: 09/28/2012, 1pm, PST 1. Let G be an arbitrary connected, simple*, undirected graph with a distinct weight w(e) on every edge e, T is a MST of G, explain whether the following statements are
School: USC
Course: Analysis Of Agorithms
CSCI570 Fall 2012 Homework 4 Instructor: Dr. Shawn Shamsian Due: 09/28/2012, 1pm, PST Submission Instruction: Please submit homework electronically to csci570@usc.edu before due. Both PDF and Word les are accepted. If you have any questions about HW4 prob
School: USC
Course: Analysis Of Agorithms
CSCI570 Fall 2012 Homework 3 Instructor: Dr. Shawn Shamsian Due: 9/21/2012, 5pm, PST 1. Where in a maxheap might the smallest element reside, assuming that all elements are distinct. Answer: In a maxheap, the smallest element might reside at the node in
School: USC
Course: Analysis Of Agorithms
CSCI570 Fall 2012 Homework 3 Instructor: Dr. Shawn Shamsian Due: 9/21/2012, 5pm, PST Submission Instruction: Please submit homework electronically to csci570@usc.edu before due. Both PDF and Word les are accepted. If you have any questions about HW3 probl
School: USC
Course: Analysis Of Agorithms
CS570 Fall 2012 HW 2 Instructor: Dr. Shawn Shamsian Assigned: 09.06.2012; Due: 02:00 pm (PST), 09.13.2012 Q1: Greedy Algorithm Basics: True/False (explain if it is false): (a) The GS algorithm presented in class for stable matching is based on the greedy
School: USC
Course: Analysis Of Agorithms
Qiaoxu Chong USC ID: 6782652191 CSCI570 Fall 2012 HW#1 Assigned: 08/30/2012 Q1. Decide whether you think the following statement is true or false. If true, give a short explanation. If false, give a counterexample. In every instance of the Stable Matchin
School: USC
Course: Analysis Of Agorithms
CSCI570 fall 2012 HW#1 Assigned: 08.30.2012 Due: 02:00 pm (PST), 09.06.2012 Please send electronically to csci570@usc.edu before due Please read Kleinberg & Tardos, Chapter 1, 1st edition 1. Decide whether you think the following statement is true or fals
School: USC
Course: Analysis Of Agorithms
( ) ( odp , pdf ) 80 60 10 20 2008/4/15 50 Exercise 6.1 6.12 Show that an nelement heap has height lg n 6.14 Where in a maxheap might the smallest element reside, assuming that all elements are distinct? 6.17 Show that, with the arr
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 10 (Group) Please note that this assignment10 package contains following three sections. 1. Assignment 10a (page 2): Instruction for Final Project
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 9 (Individual) Individual Reading Assignment 1. Goal The goal of this assignment is to analyze a specific interaction system from your reading assig
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 8 (Individual) Usability Evaluation User Testing 1. Goal The goal of this assignment is to learn how to perform usability evaluation for a UI system
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 6 (Group) Instruction for Progress Report Note: This is required for all the teams. 1. Goal The goal of this assignment is to check the progress of
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 5 (Individual) Task Analysis 1. Goal The goal of this assignment is to analyze a specific task (Website Search) and structure it within highlevel t
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 4 (Individual) Design Analysis 1. Assignment Find an UI design example from your daily life. Use your experience and knowledge gained from the class
School: USC
Course: UI Design
University of Southern California CSCI 588 Specifications and Design of User Interface Software Assignment 3 (Group) Class Project Proposal Instruction: 1. Only use the format instructed below to prepare your project proposal. 2. It is team project. So, w
School: USC
Course: Analysis Of Agorithms
CS570 Homework #2 solution 1. The greedy algorithm we use is to go as far as possible before stopping for gas. Let ci be the city with distance di from USC. Here is the pseudocode. S=0; last = 0 for i = 1 to n if (di last) > P S = S U cfw_ci1 last = ti1
School: USC
Course: Analysis Of Agorithms
Homework set #1 1. Decide whether you think the following statement is true or false. If true, give a short explanation. If false, give a counterexample. In every instance of the Stable Matching Problem, there is a stable matching containing a pair (m,w)
School: USC
Course: Analysis Of Agorithms
CS570 Fall 2007 Homework #4 Problem 1 in Chapter 5 Problem 3 in Chapter 5
School: USC
Course: Analysis Of Agorithms
Homework 3 Problem 1: Show an example where Dijkstras algorithm fails. Problem 2: Run Dijkstras algorithm manually for the following graph. (A as a source) Problem 3: Suppose that a graph G has a minimum spanning tree already computed. How quickly can the
School: USC
Course: Artificial
CSCI561 Fall 2010 Homework 4 Student name: _ Macskassy Due Nov. 17, 2010 Student ID: _ Question 1 [30 points] Sudoku problem can be as general with size n2 x n2 . The rules are: (1) Each row contains unique number from 1 to n2. (2) Each column contains u
School: USC
Course: Artificial
CSCI561 Fall 2010 Homework 3 Student name: _ Macskassy Due Nov. 3, 2010 Student ID: _ Question 1 [Q1: 20 points] a). P Q is defined as being equivalent to (P Q) ^ (Q P). Based on this definition, show that P Q is logically equivalent to (P v Q) (P ^ Q).
School: USC
Course: Software Architecture
CS 578 Software Architectures Fall 2010 Homework Assignment #4 (The Final Project) Due: Wednesday, December 1, 2010, 11:59:59pm This is an individual assignment, at the end of which you will be expected to demonstrate your solution to the instructor and/o
School: USC
Course: Software Architecture
Homework #3 Assignment In the last assignment you were tasked with designing an architecture for the C4 system that achieves particular requirements and use cases. In this assignment, you will be provided with the C4 system architecture designed by a deve
School: USC
Course: Software Architecture
Homework #2 Assignment The Call Center Customer Care (C4) Case Study, provided as an appendix to this assignment, presents an initial high level (Level 1) architectural breakdown for the system used by a large telecommunications company. This system compr
School: USC
Course: Software Architecture
Homework 1: Connecting requirements and architecture using partial behavior models In this assignment you will explore the relation between functional requirements specifications and an architecturelevel behavioral specification of a software system. Ini
School: USC
Course: ANALYSIS OF ALGORITHMS
CSci 570 Homework set #1 Instructor: Prof. Shamsian Due on September 14th 1. Decide whether you think the following statement is true or false. If true, give a short explanation. If false, give a counterexample. "In every instance of the Stable Matching
School: USC
Course: Artificial
1 CSCS561 Homework 1 Due: Before class Wednesday, September 22, 2010 Guidelines: This assignment has a written and programming component. You can see how much each part of the assignment is worth by the percentage next to it. For the written part, please
School: USC
CSCI 573 2010 Homework Assignment 2 Due: March 2nd, 2010 before the class 12:30pm (either in person or electronically) K&F refers to the textbook by Koller and Friedman 1 Parameter Learning Q1 (5 pts) K & F Exercise 17.2. (H int. You can get some intuitio
School: USC
CSCI 573 2010 Homework Assignment 1 Due: Feb 9th, 2010 before the class 12:30pm (either in person or electronically) K&F refers to the textbook by Koller and Friedman 1 Basic probabilities Q1 ( 10 pts) K&F Exercise 2.7. Note, you only need to prove the we
School: USC
Programming Assignment Number 1 Computer Science 101 Due date: Must be submitted (electronic submission) by midnight on Sept. 14, 20009 Writeaprogramtoproducetheoutputshownbelow.Usethefollowingformula: Y3.7 Result=[X][X+2Z]+5X 5Z9.5Y Theoutputforprogram1s
School: USC
CS 570  Fall 2008 Homework #4 Due Date: Monday Sep 29 1) Suppose you are a consultant for the networking company Clunet, and they have the following problem. The network that they are currently working on is modeled by a connected graph G=(V, E) wit
School: USC
CS 578 Software Architectures Spring 2009 Homework Assignment #1 Due: Thursday, February 12, 2009 see course websites for submission details The Call Center Customer Care (C4) Case Study provided in the supplementary readings for this assignment p
School: USC
Course: Analysis Of Agorithms
HW4 SOLUTION 1. chapter 5 Problem 1: Since we can nd the k th value in each database by specify a value k, we consider the two databases as two sorted arrays(Querying the database by specifying k is equivalent to get the k th value in the sorted a
School: USC
Course: Analysis Of Agorithms
CS570 Homework #2 solution 1. The greedy algorithm we use is to go as far as possible before stopping for gas. Let ci be the city with distance di from USC. Here is the pseudocode. S=0; last = 0 for i = 1 to n if (di last) > P S = S U {ci1} last =
School: USC
/ IfTest.cpp /#include <iostream> using namespace std; /*Read Gender code > For male is 'M' or 'm'. For female is 'F' or 'f'. Read Age: Four groups > 120, 2130, 3139, 40 and over. Print appropriate message. */ int main() cfw_ char gender; int age;
School: USC
CSCI 101: Fundamentals of Computer Programming Lab 4: Using If statements in C+ Programs 1) Open Lab4B.cpp and look over the program, read the comments to understand what the program is supposed to do. Compile and run Lab4B.cpp, test it to make sure it wo
School: USC
/Example: setprecision, fixed, showpoint #include <iostream> #include <string> #include <iomanip> using namespace std; int main() cfw_ double x,y,z; float A = 9 ; string Temp = "Hello"; x = 15.673; y = 235.736; z = 9525.9864765; cout < "\n\t\tNo format: \
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CSCI 101: Fundamentals of Computer Programming Fall 2009 Lab 3: First C+ Program 1) Compile and run program Lab3.cpp, modify the format modifiers and observe the effects on the output. 2) Given the following algorithm develop the C+ program for it. A) Inp
School: USC
CSCI 101: Fundamentals of Computer Programming Fall 2009 Lab 2: First C+ Program 1) Log into your UNIX account and type in the following program(use emacs or a similar test editor) , and save it as "Lunch.cpp". / Program Lunch calculates the number of cal
School: USC
CSCI 101: Fundamentals of Computer Programming Lab 1: Getting Started Fall 2009 General Introduction: TA/Grader Introductions Signup sheet (Name, Email) Class Web Site: http:/wwwscf.usc.edu/~csci101 0 Blackboard Web Site: blackboard.usc.edu 1 o You need
School: USC
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School: USC
Course: Algorithm
CSCI 570 Spring 2011 Syllabus Course Logistics Instructor Aaron Cote aaroncot@usc.edu SAL 216 M 12:303:30pm Teaching Assistant HsingHau Chen hsinghac@usc.edu TBA TBA Email Oce Oce Hours Lecture 1: TTh 11:00am12:20pm, ZHS352 Lecture 2: TTh 2:003:20pm,
School: USC
Syllabus CSci101L Fall 2009 Fundamentals of Computer Programming, 3 Units Section # Section 1 Section 2 Instructor: Office #: Office Phone: Office Fax: Email: Web Site: Blackboard: Office Hours: Required Text: ISBN: Author: Publisher: Course # 29900R 299
School: USC
SCIENTIFIC COMPUTING AND VISUALIZATION (Fall 08) Course Number: CSCI 596 Class Number: 30173R Instructor: Aiichiro Nakano; office: VHE 610; phone: (213) 8212657; email: anakano@usc.edu Lecture: 3:304:50pm M W, VHE 210 Office Hours: 3:304:50pm F Pr