This document provides information about the DAT 305 Data Structures for Problem Solving course, including a link to the full course, descriptions of weekly topics and assignments, practice lab activities, assessments, and quizzes. The course covers algorithms and complexity, sorting algorithms, fundamental data structures, hash tables, binary search trees, string matching algorithms, graphs and complexity classes. Students complete weekly labs, assessments and quizzes through the MindTap online platform to practice and apply their skills.
The document discusses stacks and their applications. Stacks follow LIFO (last-in, first-out) order and allow insertions and removals only from the top. Common applications include evaluating arithmetic expressions by converting them to postfix notation and solving problems like Tower of Hanoi. The algorithms for push, pop, infix to postfix conversion and postfix evaluation are presented.
The document discusses various topics related to computer graphics and visualization:
i) It explains the concept of pinhole camera and finds the coordinates of a projected point on a film mounted inside the camera box. It also defines the field of view.
ii) It explains the graphics pipeline and its components.
iii) It explains the concept of transformations in homogeneous coordinates and finds the transformation matrix and its inverse for various transformations including rotation.
For more course tutorials visit
www.newtonhelp.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
The document provides an interview questions and answers guide for C programming language. It includes questions on topics such as the definition of C language, differences between functions like printf and sprintf, static variables, unions, linked lists, storage classes in C, and hashing. For each question, it provides multiple detailed answers explaining concepts in C programming such as memory allocation, strings, pointers, macros and more.
The document discusses various types of linked lists and their implementations. It describes a simple singly linked list that allows insertion at the beginning and deletion from the beginning. It then covers sorted linked lists, doubly linked lists, and using an iterator object to traverse linked lists and perform operations like insertion and deletion. The key aspects of linked lists are that each node contains a data element and a pointer to the next node, with the last node pointing to null.
The binary search is faster than the sequential search. The complexity of binary search is O(log n) whereas the complexity of a sequential search is O(n). Stacks are used to evaluate algebraic or arithmetic expressions using prefix or postfix notations. Heap sort involves creating a max heap from the array and then replacing the root with the last element and rebuilding the heap for the remaining elements, repeating this process to sort the entire array.
1. Recursion is a programming technique where a method calls itself to solve smaller instances of the same problem. This document discusses examples of using recursion to calculate triangular numbers, factorials, binary search, and the Towers of Hanoi puzzle.
2. Mergesort is presented as a recursive algorithm for sorting an array. It works by recursively splitting the array in half and merging the sorted halves.
3. Various examples of Java programs are provided that implement recursive solutions to problems like calculating triangular numbers, factorials, binary search, Towers of Hanoi, and mergesort.
The document discusses different sorting algorithms: bubble sort, selection sort, and insertion sort. It explains how each algorithm would sort a group of baseball players by height through examples and pseudocode. Bubble sort works by repeatedly swapping adjacent elements if they are in the wrong order until the list is fully sorted. Selection sort finds the minimum element and swaps it into the sorted portion of the list. Insertion sort iterates through the list and inserts each element into the sorted portion, shifting elements as needed. Java code examples are provided to implement each sorting algorithm.
The document discusses stacks and their applications. Stacks follow LIFO (last-in, first-out) order and allow insertions and removals only from the top. Common applications include evaluating arithmetic expressions by converting them to postfix notation and solving problems like Tower of Hanoi. The algorithms for push, pop, infix to postfix conversion and postfix evaluation are presented.
The document discusses various topics related to computer graphics and visualization:
i) It explains the concept of pinhole camera and finds the coordinates of a projected point on a film mounted inside the camera box. It also defines the field of view.
ii) It explains the graphics pipeline and its components.
iii) It explains the concept of transformations in homogeneous coordinates and finds the transformation matrix and its inverse for various transformations including rotation.
For more course tutorials visit
www.newtonhelp.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
The document provides an interview questions and answers guide for C programming language. It includes questions on topics such as the definition of C language, differences between functions like printf and sprintf, static variables, unions, linked lists, storage classes in C, and hashing. For each question, it provides multiple detailed answers explaining concepts in C programming such as memory allocation, strings, pointers, macros and more.
The document discusses various types of linked lists and their implementations. It describes a simple singly linked list that allows insertion at the beginning and deletion from the beginning. It then covers sorted linked lists, doubly linked lists, and using an iterator object to traverse linked lists and perform operations like insertion and deletion. The key aspects of linked lists are that each node contains a data element and a pointer to the next node, with the last node pointing to null.
The binary search is faster than the sequential search. The complexity of binary search is O(log n) whereas the complexity of a sequential search is O(n). Stacks are used to evaluate algebraic or arithmetic expressions using prefix or postfix notations. Heap sort involves creating a max heap from the array and then replacing the root with the last element and rebuilding the heap for the remaining elements, repeating this process to sort the entire array.
1. Recursion is a programming technique where a method calls itself to solve smaller instances of the same problem. This document discusses examples of using recursion to calculate triangular numbers, factorials, binary search, and the Towers of Hanoi puzzle.
2. Mergesort is presented as a recursive algorithm for sorting an array. It works by recursively splitting the array in half and merging the sorted halves.
3. Various examples of Java programs are provided that implement recursive solutions to problems like calculating triangular numbers, factorials, binary search, Towers of Hanoi, and mergesort.
The document discusses different sorting algorithms: bubble sort, selection sort, and insertion sort. It explains how each algorithm would sort a group of baseball players by height through examples and pseudocode. Bubble sort works by repeatedly swapping adjacent elements if they are in the wrong order until the list is fully sorted. Selection sort finds the minimum element and swaps it into the sorted portion of the list. Insertion sort iterates through the list and inserts each element into the sorted portion, shifting elements as needed. Java code examples are provided to implement each sorting algorithm.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
encapsulation.
accessibility inversion.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
Gsp 125 Enthusiastic Study / snaptutorial.comStephenson101
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
encapsulation.
accessibility inversion.
confusion culling.
redirection.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
The document discusses arrays and their use in programming. It defines an array as a data storage structure built into most languages. Arrays allow storing multiple items of the same type under a single name. The document covers creating, accessing, initializing, and manipulating array elements through examples. It also discusses dividing a program into classes for an object-oriented approach to using arrays. Key operations covered include insertion, searching, and deletion of array elements.
•Common Problems Needs Computers
•The Search Problem
•Basic Search Algorithms
–Algorithms used for searching the contents of an array
•Linear or Sequential Search
•Binary Search
•Comparison Between Linear and Binary Search
•Algorithms for solving shortest path problems
–Sequential Search Algorithms
•Depth-First Search
•Breadth First Search
–Parallel or distributed Search Algorithms
•Parallel Depth-First Search
•Parallel Breadth First Search
This document discusses stacks and queues as data structures. It begins by explaining what a stack is, noting that a stack follows last-in, first-out ordering. It then provides an analogy using mail delivery to explain the stack concept. The document goes on to provide Java code examples for implementing a stack. It also gives examples of using a stack to reverse a word and check balanced parentheses. Next, the document defines queues as first-in, first-out data structures and provides Java code for implementing a queue. It concludes by explaining how stacks can be used to parse arithmetic expressions by first converting them to postfix notation.
This document appears to be a study guide for the GATE CS exam from 2002. It provides 25 one-mark questions in Section A and 25 two-mark questions in Section B on topics related to computer science. The questions cover areas such as algorithms, data structures, computer architecture, programming languages, theory of computation and operating systems. Fifteen of the two-mark questions from Section B need to be answered on the provided answer book.
1) The document discusses various data structures and algorithms including arrays, stacks, queues, pointers, and linked lists.
2) It provides details on common data structure operations like insertion, deletion, sorting, and searching. Linear and non-linear data structures are described.
3) Examples of how each data structure works are given, such as the push and pop operations for stacks, and insertion and deletion for queues. Applications like arithmetic expressions and recursion are discussed.
The document provides an overview of common data structures including lists, stacks, queues, trees, and hash tables. It describes each data structure, how it can be implemented both statically and dynamically, and how to use the core Java classes like ArrayList, Stack, LinkedList, and HashMap that implement these structures. Key points covered include common operations for each structure, examples of using the Java classes, and applications like finding prime numbers in a range or matching brackets in an expression.
The document contains multiple choice questions and answers related to C++ concepts like input/output operations, loops, functions, structures, classes, and object-oriented programming principles. Some key points covered include:
- The cstdio header is used for input/output in C++ (as opposed to stdio.h in C).
- Streams are used to interact with physical devices from C++ programs.
- Classes can contain both data members and member functions, and objects are initialized using constructors by default.
- Structures are similar to classes but have public access by default.
- Inline functions are expanded during compilation to reduce function call overhead.
This document provides information about an online test preparation forum for the GATE exam. It advertises classroom mock tests in 25 cities across India, designed by IISc alumni. It also details online discussion forums and other resources for students. The document then provides a sample test paper containing 35 single-choice questions and 20 multi-choice questions covering topics in computer science like algorithms, data structures, automata theory and computer architecture.
The document discusses arrays and data structures in Java. It explains that wrapping an array in a class hides implementation details and provides an interface for users. This abstraction makes the code easier to design. It also describes how ordered arrays allow faster searching through binary search but slower insertion compared to unordered arrays. The document provides code examples for an ordered array class that implements binary search and shows how to store objects like Person data in an array.
This document contains a 50 question quiz on data structures. The questions cover topics like linked lists, stacks, queues, trees, sorting algorithms, hashing and more. For each question there are 4 multiple choice answers and the correct answer is indicated. The quiz is assessing understanding of fundamental data structure concepts and their applications.
The document describes several Adobe interview test papers that the author took. It provides examples of questions asked in sections on coding (C/Java), data structures, algorithms, quantitative aptitude, and logical reasoning. Some example questions include finding the fourth smallest element in a binary search tree, reversing a linked list, checking if all computers are connected in a network, and problems involving arithmetic, triangles, and pie charts. The tests focused on fundamental concepts in coding, data structures, algorithms, and math.
This document contains multiple choice and short answer questions about data structures such as arrays, linked lists, stacks, queues, and trees. The multiple choice questions test knowledge of the basic properties and applications of these data structures. The short answer questions involve coding examples using recursion, stacks, queues, and linked lists to solve problems.
Unix and Shell Programming,
Q P Code: 60305.
Additional Mathematics I
Q P Code: 60306
Computer Organization and Architecture
Q P Code: 62303
Data Structures Using C
Q P Code: 60303
Discrete Mathematical Structures
Q P Code: 60304
Engineering Mathematics - III
Q P Code: 60301
Soft Skill Development
Q P Code: 60307
Unix and Shell Programming,
Q P Code: 60305.
Additional Mathematics I
Q P Code: 60306
Computer Organization and Architecture
Q P Code: 62303
Data Structures Using C
Q P Code: 60303
Discrete Mathematical Structures
Q P Code: 60304
Engineering Mathematics - III
Q P Code: 60301
Soft Skill Development
Q P Code: 60307
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
encapsulation.
accessibility inversion.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
Gsp 125 Enthusiastic Study / snaptutorial.comStephenson101
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
variables.
Question 2. 2. Hiding data in a class is also called (Points : 3)
encapsulation.
accessibility inversion.
confusion culling.
redirection.
For more classes visit
www.snaptutorial.com
Question 1. 1. In addition to grouping functions together, a class also groups (Points : 3)
libraries.
math operations.
print statements.
The document discusses arrays and their use in programming. It defines an array as a data storage structure built into most languages. Arrays allow storing multiple items of the same type under a single name. The document covers creating, accessing, initializing, and manipulating array elements through examples. It also discusses dividing a program into classes for an object-oriented approach to using arrays. Key operations covered include insertion, searching, and deletion of array elements.
•Common Problems Needs Computers
•The Search Problem
•Basic Search Algorithms
–Algorithms used for searching the contents of an array
•Linear or Sequential Search
•Binary Search
•Comparison Between Linear and Binary Search
•Algorithms for solving shortest path problems
–Sequential Search Algorithms
•Depth-First Search
•Breadth First Search
–Parallel or distributed Search Algorithms
•Parallel Depth-First Search
•Parallel Breadth First Search
This document discusses stacks and queues as data structures. It begins by explaining what a stack is, noting that a stack follows last-in, first-out ordering. It then provides an analogy using mail delivery to explain the stack concept. The document goes on to provide Java code examples for implementing a stack. It also gives examples of using a stack to reverse a word and check balanced parentheses. Next, the document defines queues as first-in, first-out data structures and provides Java code for implementing a queue. It concludes by explaining how stacks can be used to parse arithmetic expressions by first converting them to postfix notation.
This document appears to be a study guide for the GATE CS exam from 2002. It provides 25 one-mark questions in Section A and 25 two-mark questions in Section B on topics related to computer science. The questions cover areas such as algorithms, data structures, computer architecture, programming languages, theory of computation and operating systems. Fifteen of the two-mark questions from Section B need to be answered on the provided answer book.
1) The document discusses various data structures and algorithms including arrays, stacks, queues, pointers, and linked lists.
2) It provides details on common data structure operations like insertion, deletion, sorting, and searching. Linear and non-linear data structures are described.
3) Examples of how each data structure works are given, such as the push and pop operations for stacks, and insertion and deletion for queues. Applications like arithmetic expressions and recursion are discussed.
The document provides an overview of common data structures including lists, stacks, queues, trees, and hash tables. It describes each data structure, how it can be implemented both statically and dynamically, and how to use the core Java classes like ArrayList, Stack, LinkedList, and HashMap that implement these structures. Key points covered include common operations for each structure, examples of using the Java classes, and applications like finding prime numbers in a range or matching brackets in an expression.
The document contains multiple choice questions and answers related to C++ concepts like input/output operations, loops, functions, structures, classes, and object-oriented programming principles. Some key points covered include:
- The cstdio header is used for input/output in C++ (as opposed to stdio.h in C).
- Streams are used to interact with physical devices from C++ programs.
- Classes can contain both data members and member functions, and objects are initialized using constructors by default.
- Structures are similar to classes but have public access by default.
- Inline functions are expanded during compilation to reduce function call overhead.
This document provides information about an online test preparation forum for the GATE exam. It advertises classroom mock tests in 25 cities across India, designed by IISc alumni. It also details online discussion forums and other resources for students. The document then provides a sample test paper containing 35 single-choice questions and 20 multi-choice questions covering topics in computer science like algorithms, data structures, automata theory and computer architecture.
The document discusses arrays and data structures in Java. It explains that wrapping an array in a class hides implementation details and provides an interface for users. This abstraction makes the code easier to design. It also describes how ordered arrays allow faster searching through binary search but slower insertion compared to unordered arrays. The document provides code examples for an ordered array class that implements binary search and shows how to store objects like Person data in an array.
This document contains a 50 question quiz on data structures. The questions cover topics like linked lists, stacks, queues, trees, sorting algorithms, hashing and more. For each question there are 4 multiple choice answers and the correct answer is indicated. The quiz is assessing understanding of fundamental data structure concepts and their applications.
The document describes several Adobe interview test papers that the author took. It provides examples of questions asked in sections on coding (C/Java), data structures, algorithms, quantitative aptitude, and logical reasoning. Some example questions include finding the fourth smallest element in a binary search tree, reversing a linked list, checking if all computers are connected in a network, and problems involving arithmetic, triangles, and pie charts. The tests focused on fundamental concepts in coding, data structures, algorithms, and math.
This document contains multiple choice and short answer questions about data structures such as arrays, linked lists, stacks, queues, and trees. The multiple choice questions test knowledge of the basic properties and applications of these data structures. The short answer questions involve coding examples using recursion, stacks, queues, and linked lists to solve problems.
Unix and Shell Programming,
Q P Code: 60305.
Additional Mathematics I
Q P Code: 60306
Computer Organization and Architecture
Q P Code: 62303
Data Structures Using C
Q P Code: 60303
Discrete Mathematical Structures
Q P Code: 60304
Engineering Mathematics - III
Q P Code: 60301
Soft Skill Development
Q P Code: 60307
Unix and Shell Programming,
Q P Code: 60305.
Additional Mathematics I
Q P Code: 60306
Computer Organization and Architecture
Q P Code: 62303
Data Structures Using C
Q P Code: 60303
Discrete Mathematical Structures
Q P Code: 60304
Engineering Mathematics - III
Q P Code: 60301
Soft Skill Development
Q P Code: 60307
This question paper is divided into 3 sections for the Computer Science exam. Section A has 25 multiple choice questions to attempt 20. Section B has 24 multiple choice questions to attempt 20. Section C has 6 case study based questions to attempt 5. All questions carry equal marks. The document provides a sample question paper format and questions asked in sections A and B. Rohit has been given an incomplete Python code to create a CSV file from a list of student records and needs help completing it.
This document contains a GATE exam paper from 1994. It has two sections - Section A with 8 multiple choice questions and Section B with 20 questions where the test taker must answer 10. The questions cover topics in computer science including algorithms, data structures, automata theory, databases, computer architecture and electronics.
The document discusses various Java concepts like abstract classes, interfaces, exceptions, threads, strings, input/output, applets, layout managers, swing components, and menus. It provides questions with multiple choice answers on these topics along with explanations for some answers. Key points covered include the syntax for abstract classes, implementing Runnable to create a thread, string concatenation vs assignment, vector size allocation, switch case fall-through behavior, and string and object passing.
The document provides information about GATE preparation resources and referral codes for discounts on courses and books. It includes links and codes for Telegram groups to access study notes, as well as details of upcoming and ongoing courses on topics like Database Management Systems, C Programming, and Data Structures. The referral code HELLOSONU01 is promoted throughout for discounts. Graph theory concepts and single page revisions are also summarized.
This document provides an introduction to MATLAB programming. It discusses resources for the course including the course web page and slides. It then explains what MATLAB is, how to get started using it on Windows and Linux systems, and how to get help. It also covers the MATLAB desktop environment, performing calculations on the command line, entering numeric arrays, indexing into matrices, basic plotting commands, and logical indexing.
This document contains information about a GATE CS test paper from 1995, including sample questions from sections A and B. It also provides information about GATE Forum, which conducts mock GATE tests and online discussion forums to help students prepare for GATE. The document encourages thinking about GATE and considering GATE Forum as a resource.
Name _______________________________ Class time __________.docxrosemarybdodson23141
Name: _______________________________ Class time: __________
Prewriting Instructions for Paper 2 (Final Paper due 4/22)
1. Your choices for Paper 2 are posted on blackboard and also listed below.
2. Choose 1 of these paper options. Notice that each choice also mentions the type of paper (comparison, etc.) My paper choice is: _________________________: paper type: _______________.
3. Read the related essay(s) in your Research and Composition textbook.
4. Thursday: write a tentative thesis for paper 2 (one sentence): ______________________________________________________________________________________________________________________________________________________________________________________________________________________.
5. Thursday: write 5 questions that you will need to answer through research to write this paper (for ex. What is the divorce rate for 2012?) Write legibly please.
1.
2.
3.
4.
5.
6. Thursday: go to the library and use the databases to locate at least three sources that will likely give you the information to answer the five questions above. At least one should be a book, at least one should be a database article. In addition, you may use your textbook, internet, or even refer to a film. Write down the all of the information about each source. You will need this information for a works cited page later or to locate the article and book again. You do not need to answer the questions right away, but if you do find the answers, take notes or make a copy of the source.
Source 1: ____________________________________________________________________________________________________________________________________________________________
Source 2: ____________________________________________________________________________________________________________________________________________________________
Source 3: ____________________________________________________________________________________________________________________________________________________________
7. Have any new questions come to mind? What are they? Write them here:
8. Have you revised your thesis? What is it? ___________________________________
_____________________________________________________________________.
9. Write a tentative first paragraph to paper 2 (this includes your thesis):
10. Turn this in Tuesday 3/25 in exchange for your last Q exercise, M&M Color Distribution.
***You need this prewriting exercise completed to receive your instructions and data for this last Q exercise and parts of this exercise will count for your attendance in a week or so.
See next page
Writing Assignment 2 Choices due on or before 4/22
Here are your choices for Writing Assignment 2 due 4/22. Additional research is required for all choices. Two visuals, tables or figures, are required. Your paper will be in MLA format with a works cited page. This paper is approximately 5 pages including a works cited page.
1. Read the essays in Chapter 8. Go .
This document contains a 54 question multiple choice quiz about C programming and data structures. The quiz covers topics such as C programming fundamentals, data types, operators, arrays, pointers, functions, structures, file handling, linear and non-linear data structures including stacks, queues, linked lists, trees, sorting, and searching algorithms.
The document contains a C++ programming quiz with 55 multiple choice questions related to topics like C++ fundamentals, OOPs concepts, pointers, strings, inheritance, polymorphism, operator overloading etc. Each question is followed by 4 answer options and the correct answer is highlighted. The questions test knowledge of basic C++ syntax, language features and their applications.
This document provides information about joining an All India Mock GATE Classroom Test Series conducted by GATE Forum in over 25 cities across India. The test series includes section tests and full tests designed by IISc alumni according to the latest GATE syllabus. Participants receive their percentile score, All India rank, and can interact with IISc alumni through online discussion forums. The document also provides sample questions from previous GATE papers.
This document contains instructions and questions for an exam in Analog and Digital Electronics. It is divided into 5 modules. For each module, there are 2 full questions with multiple parts to choose from. Students must answer 5 full questions, choosing 1 from each module. They must write the same question numbers and answers should be specific to the questions asked. Writing must be legible. The questions cover topics like operational amplifiers, logic gates, multiplexers, flip-flops, counters, and more. Diagrams and explanations are often required.
This document contains multiple choice questions about MATLAB input and output, arithmetic operations, algebra, and managing variables. It asks about MATLAB commands, variable types, matrix operations, and polynomial functions. The correct answers are provided at the end.
Just Click on Below Link To Download This Course:
https://www.devrycoursehelp.com/product/devry-cis-247-full-course-latest/
The Object-Oriented Paradigm supports abstractions through Classes. Classes are software-programming abstractions; they encapsulate a set of related attributes (data members) and behaviors (methods) while, at the same time, they hide essential details from their users.
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This document provides an overview of the course CJS 251 Introduction to Criminal Court Systems. It includes the requirements for a research paper proposal due in Week 1, a quiz for Week 1 on key concepts of criminal court systems, an assignment for Week 2 to complete a chart describing the roles of courtroom participants, another quiz for Week 2, an outline assignment for the research paper due in Week 3, the criminal prosecution paper due in Week 4, and a presentation assignment for Week 5 on emerging issues in criminal courts. Students are provided with learning materials and assignments that cover topics such as criminal procedures, elements of crimes, defenses, sentencing, and debates around issues like the death penalty and new technologies.
Ntc 362 forecasting and strategic planning -uopstudy.comULLPTT
The document provides information about the NTC 362 Fundamentals of Networking course, including a study guide link, assignments for weeks 1 through 4, and quizzes covering various topics. Key topics covered include networking models, infrastructure, addressing, protocols, routing, subnets, VLANs, and performance/recovery. The document contains links to additional online course materials.
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This document provides an overview of the course requirements and assignments for BSHS 437 Social Systems and Aging. It outlines 5 weekly assignments that involve researching and analyzing existing aging programs and policies, identifying gaps in services, and proposing new educational programs. Some of the key assignments include a paper evaluating a national aging policy and related community program, a summary of a needed educational program for older adults, and a group presentation proposing a service delivery program. The course uses APA style formatting and focuses on understanding how programs and policies can best meet the needs of older populations.
Bshs 437 effective communication uopcourse.comULLPTT
This document provides an overview of the course requirements and assignments for BSHS 437 Social Systems and Aging. It outlines 5 weekly assignments that involve researching and analyzing existing aging programs and policies, identifying gaps in services, and proposing new educational programs. Some of the key assignments include a paper evaluating a national aging policy and related community program, a summary of a needed educational program for older adults, and a group presentation proposing a service delivery program. The course uses APA style formatting and focuses on understanding how programs and policies can best meet the needs of older populations.
Bshs 437 education for service uopcourse.comULLPTT
This document provides an overview of the course requirements and assignments for BSHS 437 Social Systems and Aging. It outlines 5 weekly assignments that involve researching and analyzing existing aging programs and policies, identifying gaps in services, and proposing new educational programs. Some of the key assignments include a paper evaluating a national aging policy and related community program, a summary of a needed educational program for older adults, and a group presentation proposing a service delivery program. The course uses APA style formatting and focuses on understanding how programs and policies can best meet the needs of older populations.
This document provides an overview of the course requirements and assignments for BSHS 437 Social Systems and Aging. It outlines 5 weekly assignments that involve researching and analyzing existing aging programs and policies, identifying gaps in services, and proposing new educational programs. Some of the key assignments include a paper evaluating a national aging policy and related community program, a summary of a needed educational program for older adults, and a group presentation proposing a service delivery program. The course uses APA style formatting and focuses on understanding how programs and policies can best meet the needs of older populations.
This document provides information about the ISCOM 361 purchasing and procurement course from University of Phoenix (UOP). It outlines the weekly course topics, assignments, and resources. The topics include purchasing strategies, supplier quality, e-procurement, supplier evaluations, purchasing documents, negotiation plans, risk management, and a signature crisis simulation assignment. Students will analyze purchasing structures, develop receiving inspection and evaluation plans, create a business case for e-procurement and more. The goal is to train students on key purchasing concepts and skills.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Dat 305 dat305 dat 305 education for service uopstudy.com
1. DAT/305
Data Structures for Problem Solving
The Latest Version A+ Study Guide
**********************************************
DAT 305 Entire Course Link
http://www.uopstudy.com/dat-305
DAT 305 Week 1 Apply - CoursePre-AssessmentQuiz
Order the following algorithms in the ascending order of their best-case complexity:
• Bubble sort
• Selection sort
• Quick sort
• Merge sort
a. Bubble sort < Quick sort == Merge sort < Selection sort
b. Selection sort < Quick sort < Merge sort < Bubble sort
c. Selection sort < Bubble sort < Merge sort < Quick sort
d. Quick sort < Bubble sort == Merge sort < Selection sort
Which of the following statements is true for a bubble sort structure?
a. There are three for loops, all of them separate.
b. There is a single for loop.
2. c. There are two for loops, one nested in the other.
d. There is a while loop.
What is the result of the following expression in postfix notation?
40 10 / 4 * 20 +
a. 10
b. 6
c. 90
d. 36
What will be the output of the following program?
a. null
null
b. value1
value2
c. A Runtime Exception will be thrown.
d. value2
value2
What will be the output of the following program?
a. value1
b. A NullPointer Exception will be thrown.
c. value1
value2
d. value1
null
3. For the given class, which of the following would be the best hashCode function
implementation?
How many elements can be stored in a binary search tree of depth = 9?
a. 512
b. 9
c. 1023
d. 256
Consider the following string: ALAMAKOTA, and pattern to be matched: AKO. By how
many positions will the first shift be performed, using the bad character rule?
a. 2
b. 1
c. 3
d. 4
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What is a graph in which every pair of distinct vertices are connected by a unique edge
called?
a. A cycle graph
b. A simple graph
c. A directed cycle graph
d. A complete graph
Order the following algorithms by their complexity (ascending):
1. Dijkstra's algorithm
4. 2. Warshall's algorithm
3. Bellman-Ford algorithm
4. Prim's algorithm
a. 2 > 1 > 3 > 4
b. 2 == 3 > 1 > 4
c. 4 > 1 > 3 > 2
d. 2 > 3 > 1 > 4
The given definition describes which of the following terms?
A graph without self-loop and parallel edges in it.
a. A simple graph
b. A weighted graph
c. A directed graph
d. An undirected graph
Where is the following data entity used?
a. Graph
b. Linked list
c. Double linked list
d. Binary search tree
Which data structure has a O(1) constant time operation?
a. Stack
b. Binary search tree
c. Priority queue
d. Array
5. Identify the algorithm used in the following code. What is its Big-O?
a. Quick sort, O(n log n)
b. Merge sort, O(n log n)
c. Bubble sort, O(n^2)
d. Insertion sort, O(n^2)
Which algorithm is used to solve the halting problem?
a. None
b. Prim's algorithm
c. Dijkstra's algorithm
d. Ford-Fulkerson algorithm
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What is the worst-case and best-case Big-O for a P-complete problem?
a. O(n^2) and O(n)
b. O(k^n) and O(n!)
c. O(n!) and O(1)
d. O(n^n) and O(n!)
Convert the following postfix expression to infix.
abc++
a. (a + b + c)
b. a + b + c
6. c. (a + (b + c))
d. (a + b) + c
Which of the following shows the merge sort algorithm sorting the array [41 29 7]?
a. [41 29 7] -> [41 29][7] -> [41][29][7] -> [7 29 41]
b. [41 29 7] -> [41 29][7] -> [29 41 7] -> [7 41 29] -> [7 29 41]
c. [41 29 7] -> [29 41 7] -> [7 29 41]
d. [41 29 7] -> [41 29][7] -> [41][29][7] -> [7 29][41] -> [7 29 41]
The following algorithm takes an input array and the output array has duplicate elements
removed. What is the Big-O of this algorithm?
a. O(n log n)
b. O(n)
c. O(n!)
d. O(n^2)
Which of the following is an important operation to maintain the property of O(log n)
search for a binary search tree?
a. Rehash the elements into the BST
b. Delete duplicate elements in the BST
c. Sort the elements in the BST
d. Rebalance the BST after an insert
What is the Big-O of a recursive bubble sort?
a. O(n^3)
b. O(n log n)
c. O(n)
d. O(n^2)
How many times is the swap function called in the insertion sort algorithm?
7. a. O(n log n)
b. O(n!)
c. O(n)
d. O(n^2)
What is the data structure used in the following code?
a. Single-linked list
b. Double-linked list
c. Priority queue
d. Binary search tree
If the letters 'A', 'B', 'C', and 'D' are inserted into a queue, in what order are they removed?
a. DBCA
b. ABCD
c. BACD
d. DCBA
For a hash table with five slots, and using chaining to resolve collisions what does the
inserted sequence: 35, 2, 18, 6, 3, 10, 8, 5 look like in the hash table for the hash function
h(x) = x % 5?
a. [ (5, 10, 35) , (2,6) , (3,8) , () ]
b. [ (3), (5,6), (8, 10), (35) ]
c. [ (35, 10, 5) , (6), (2), (3,8) , () ]
d. [ (3, 5, 6), (10), (35), () ]
What is the Big-O for the following function?
a. O(n)
b. O(n log n)
8. c. O(n^3)
d. O(n^2)
DAT 305 Week 1 Practice - Lab Simulations
Using the MindTap Access link, complete the following Lab Activities found in the
Practice section of the Wk 1: Algorithms and Complexities folder:
Lab Activity 1.1: Writing an Algorithm to Convert Numbers from Octal to Decimal
MindTap
Lab Activity 1.2.A: Developing a Timing Table Using the Exponential Algorithm
MindTap
Lab Activity 1.2.B: Converting Expressions to Big O Notations MindTap
Lab Activity 1.3: Developing a Faster Intersection Algorithm
Note: You will receive points for completion and not for performance.
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DAT 305 Week 1 Lab Assessment1: Algorithms and
Complexities
Using the MindTap Access link, complete the Wk 1 Lab Assessment 1: Algorithms and
Complexities found in the Apply section of the Wk 1: Algorithms and Complexities folder.
Note: You have 3 attempts to complete the assessment. A final score will be awarded.
DAT 305 Week 1 Apply - Wk 1 Quiz
Out of the following list, which runtime complexity scales the worst?
a. O(n2)
b. O(log n)
c. O(1)
9. d. O(n)
What is the runtime complexity of the following code?
a. O(n)
b. O(1)
c. O(n log n)
d. O(10n)
The binary search algorithm has a big O of which of the following?
a. O(n log n)
b. O(2n)
c. O(log n)
d. O(1)
If we developed an algorithm that performs 5 + 2 log n + n operations, we can say that the
algorithm has a complexity of which of the following?
a. O(n)
b. O(5)
c. O(n2)
d. O(log n)
DAT 305 Week 2 Practice - Lab Simulations
Using the MindTap Access link, complete the following Lab Activities found in the Practice
section of the Wk 2: Sorting Algorithms and Fundamental Data Structures folder:
Lab Activity 2.1: I Lab Activity 2.4.B: Selection Sort in Java
Lab Activity 2.2: Understanding the Partitioning Method
Lab Activity 2.3: Implementing Merge Sort in Java
Lab Activity 2.4.A: Traversing the Linked List
Lab Activity 2.4.B: Evaluating the Postfix Expression
10. DAT 305 Week 2 Lab Assessment2: Sorting Algorithms and
FundamentalData Structures
Using the MindTap Access link, complete the Wk 2 Lab Assessment 2: Sorting Algorithms
and Fundamental Data Structures found in the Apply section of the Wk 2: Sorting
Algorithms and Fundamental Data Structures folder.
DAT 305 Week 2 Apply - Wk 2 Quiz
Which of the following describes the worst performance of merge sort?
a. O(n log n)
b. O(log n)
c. O(n)
d. O(n2)
If after partitioning the pivot always ends up in the middle, which of the following will be the
performance of quicksort?
a. O(n2)
b. O(log n)
c. O(n)
d. O(n log n)
Which of the following describes the ordering of a stack?
a. First in first out
b. Last in last out
c. Last in first out
d. First in second out
Which of the following statements is true for a doubly linked list?
a. It has at least two pointers in each node
11. b. It has a backup of the data
c. It has twice the number of nodes as a normal linked listed
d. It stores the elements in a sorted manner
Which of the following is a formula to search for an item in a linked list?
a. O(n)
b. O(2n)
c. O(log n)
d. O(1)
Which of the following is an advantage of implementing a queue using an array?
a. It prioritizes the elements in the queue
b. It does not have to keep a head and a tail pointer
c. It is more efficient if the exact size of the input is known upfront
d. It is not restricted by a static size
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DAT 305 Week 3 Practice - Lab Simulations
Using the MindTap Access link, complete the following Lab Activities found in the Practice
section of the Wk 3: Hash Tables, Binary Search Trees and Algorithm Design Paradigms
folder:
Lab Activity 3.1: Implementing Open Addressing
Lab Activity 3.2.A: Implementing BFS in Java
Lab Activity 3.2.B: Retrieving the Successor of an Element When the Tree is
Traversed in Inorder
Lab Activity 4.2: Solving the Maximum Subarray Problem
Lab Activity 4.3: The Coin Change Problem
12. DAT 305 Week 3 Lab Assessment3: Hash Tablesand Binary
SearchTrees
Using the MindTap Access link, complete the following assessments in the Apply section
of the Wk 3: Hash Tables, Binary Search Trees and Algorithm Design Paradigms folder:
Wk 3 Lab Assessment 3: HashTables and Binary Search Trees
Wk 3 Lab Assessment 4: Algorithm Design Paradigms
DAT 305 Week 3 Lab Assessment4 Algorithm Design
Paradigms
Using the MindTap Access link, complete the following assessments in the Apply section
of the Wk 3: Hash Tables, Binary Search Trees and Algorithm Design Paradigms folder:
Wk 3 Lab Assessment 3: HashTables and Binary Search Trees
Wk 3 Lab Assessment 4: Algorithm Design Paradigms
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DAT 305 Week 3 Apply - Wk 3 Quiz
Using the MindTap Access link, complete the Wk 3 Quiz in the Apply section of the Wk 3:
Hash Tables, Binary Search Trees and Algorithm Design Paradigms.
DAT 305 Week 4 Practice - Lab Simulations
Using the MindTap Access link, complete the following Lab Activity found in the Practice
section of the Wk 4: String Matching Algorithms folder:
Lab Activity Lab Activity 5.2:Implementing the Bad Character Rule
13. DAT 305 Week 4 Lab Assessment5: String Matching
Algorithms
Using the MindTap Access link, complete the Module Wk 4 Lab Assessment 5:
String Matching Algorithms in the Apply section of the Wk 4: String Matching
Algorithms folder.
DAT 305 Week 4 Apply - Wk 4 Quiz
If the length of the array P is 4 and the length of the array T is 14, how many shifts of P need to
be performed in the string searching algorithm?
a. 9
b. 10
c. 11
d. 12
What is the best case for the naive string search algorithm?
a. The first character of the pattern P isn't present in text T
b. All characters in pattern P are different
c. All characters in text T are different
d. Pattern P is half the size of text T
What is the worst case for the naive string search algorithm?
a. All characters of the pattern P are present in text T
b. All characters of the pattern P and text T are the same
c. Pattern P is of size one
d. Text T is composed of pattern P concatenated N times
How many borders does the string BABBAB have?
a. 0
14. b. 1
c. 2
d. 3
Using the good suffix rule, if we have pattern P = "BABCABCAB" and we found a mismatch of
T[i] with P[6], which index of P should we look into aligning with T[i]?
a. 0
b. 1
c. 3
d. 5
Using only the bad character rule, how many shifts are performed when trying to find P = BAB
in T = BACBABCAB?
a. 2
b. 3
c. 5
d. 8
Which string matching algorithms are better suited (or can be extended to be better suited) to
work with a set of patterns (check all that apply)?
a. Boyer-Moore
b. Aho-Corasick
c. Knuth-Morris-Pratt
d. Rabin-Karp
Which algorithms (in the implementations described in the course) can achieve a worst–case
matching time of O(n) (check all that apply)?
a. Knuth-Morris-Pratt
b. Aho-Corasick
c. Boyer-Moore
15. d. Rabin-Karp
DAT 305 Week 5 Practice - Lab Simulations
Using the MindTap Access link, complete the following Lab Activities found in the
Practice section of the Wk 5: Graphs, Prime Numbers, and Complexity Classes folder:
Lab Activity 6.1: Building the Adjacency Matrix Representation of a Weighted
Undirected Graph
Lab Activity 6.2: Using BFS to Find the Shortest Path Out of a Maze
Lab Activity 6.3: Improving Floyd-Warshall's Algorithm to Reconstruct the
Shortest Path
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DAT 305 Week 5 Apply - CoursePost-AssessmentQuiz
Which of the following statements is true?
Removing an element from a linked list is faster than adding an element to a linked list.
Traversing a linked list has the same complexity as removing an element from a list.
Traversing a linked list has the same complexity as adding an element to a list.
Removing and adding an element to a linked list has the same complexity as a traversing
operation.
a. 2 and 4
b. 4
c. 1
d. 1 and 3
What is the maximum number of comparisons that can take place in bubble sort? Assume
that there are n elements in the array.
16. a. (1/2)n(n-1)
b. (1/2)(n-1)
c. (1/4)(n-1)
d. (1/4)n(n-1)
What will be the output of the following program?
a. value1
value2
b. A Runtime Exception will be thrown.
c. null
null
d. value2
value2
What will be the output of the following program?
a. null
null
b. value1
value2
c. A Runtime Exception will be thrown.
d. value2
value2
What will be the output of the following program?
a. A NullPointer Exception will be thrown.
b. value1
value2
17. c. value1
d. value1
null
Which of the following is an advantage of chained hash table (external hashing) over the
open addressing scheme?
a. Deletion is easier.
b. Space utilization is less.
c. The worst-case complexity of search operations is less.
d. None of the above.
The given definition describes which of the following terms?
Search or exhaustive search, also known as generate and test, is a very general
problem-solving technique and algorithmic paradigm that consists of systematically
enumerating all possible candidates for the solution and checking whether each candidate
satisfies the problem's statement.
a. Brute-Force
b. Dynamic programming
c. Greedy algorithm
d. Divide and conquer
Consider the following string: KOTMAALE, and pattern to be matched: AALE. By how
many positions will the first shift be performed, using the bad character and good prefix
rules?
a. 2
b. 4
c. 1
d. 3
What is a graph without self loops and parallel edges called?
18. a. A directed cycle graph
b. A cycle graph
c. A complete graph
d. A simple graph
Which of the following are the worst-case running times of insertion sort, merge sort, and
quick sort respectively?
a. O(nlog(n)), O(nlog(n)), and O(n^2)
b. O(n^2), O(n log(n)), and O(n log(n))
c. O(n^2), O(n log n), and O(n^2)
d. O(n^2), O(n^2), and O(n log(n))
What is the knapsack value for the given input?
value = [ 20, 5, 10, 40, 15, 25 ]
weight = [1, 2, 3, 8, 7, 4 ]
W = 10
a. 60
b. 35
c. 115
d. 40
Which of the following algorithms is a greedy algorithm?
Merge sort
Quick sort
Insertion sort
Bubble sort
a. Merge sort and quick sort
19. b. Insertion sort and bubble sort
c. Quick sort and insertion sort
d. None
What data structure is a prime number used with?
a. Hash table
b. Stack
c. Array
d. Queue
For the starting permutation [3, 57, 64, 54, 1, 35, 98], what are the steps to bubble sort into
a sorted arrangement of [1, 3, 35, 54, 57, 64, 98]?
a. [1, 3, 35, 54, 57, 64, 98] -> [3, 54, 1, 35, 57, 64, 98] -> [3, 57, 64, 54, 1, 35, 98] -> [3,
1, 35, 54, 57, 64, 98] -> [1, 3, 35, 54, 57, 64, 98] -> [3, 57, 54, 1, 35, 64, 98] -> [1, 3, 35, 54,
57, 64, 98]
b. [3, 1, 35, 54, 57, 64, 98] -> [1, 3, 35, 54, 57, 64, 98] -> [1, 3, 35, 54, 57, 64, 98] -> [3,
57, 64, 54, 1, 35, 98] -> [3, 57, 54, 1, 35, 64, 98] -> [3, 54, 1, 35, 57, 64, 98]
c. [3, 57, 64, 54, 1, 35, 98] -> [3, 57, 54, 1, 35, 64, 98] -> [3, 54, 1, 35, 57, 64, 98] -> [3,
1, 35, 54, 57, 64, 98] -> [1, 3, 35, 54, 57, 64, 98] -> [1, 3, 35, 54, 57, 64, 98]
d. [1, 3, 35, 54, 57, 64, 98] -> [3, 57, 64, 54, 1, 35, 98] -> [3, 1, 35, 54, 57, 64, 98] -> [1,
3, 35, 54, 57, 64, 98] -> [3, 57, 54, 1, 35, 64, 98] -> [3, 54, 1, 35, 57, 64, 98]
How is prime factorization a hard problem?
a. Multiplying prime numbers is difficult
b. Finding the prime factors multiplied for a number is hard
c. Prime factorization uses division
20. d. Prime factorization is NP-complete
When do we use an adjacency list?
a. For a hash table
b. For a graph that is undirected
c. When sorting a list
d. When searching through a list for an element
Which data structure is used to convert an infix expression to prefix or postfix?
a. Linked list
b. Priority queue
c. Hash table
d. Stack
Which algorithm sorts the following list [5 3 9 7] using the steps of: [5 3 9 7] -> [3 5 9 7] -> [3
5 9 7] -> [3 5 7 9] -> [3 5 7 9]?
a. Bubble sort
b. Insertion sort
c. Binary search
d. Merge sort
What is the Big-O for an algorithm that takes two arrays of equal size n, and returns true if
the arrays are disjoint—no elements in common—by taking an element from the first array
and then checking if it is in the second array?
a. O(n^2)
b. O(2^n)
c. O(n!)
21. d. O(n^3)
For the array [ 99 3 57 93 8 9 7 71 1 ], what is the array arrangement after the first step in
the insertion sort?
a. [ 3 99 57 93 8 9 7 71 1 ]
b. [ 57 3 99 93 8 9 7 71 1 ]
c. [ 99 3 57 93 8 9 7 71 1 ]
d. [ 1 3 57 93 8 9 7 71 99 ]
What do Prim's algorithm and Kruskal's algorithm do after they take a graph?
a. Remove all cycles or loops from the graph
b. Find the average weight of the edges
c. Create a shortest path from the graph
d. Construct a minimum spanning tree
What is the worst-case performance of the merge sort algorithm on a sorted list of
elements?
a. O(n)
b. O(n log n)
c. O(n^2)
d. O(n^3)
What is the algorithm used in the following code?
a. Graph
b. Recursive
c. Greedy
d. Dynamic programming
22. For the string text "The cat in the hat is fat on the mat now!" and the search pattern "dog"
along with a performance operation of O(1), what is the search time using the Boyer-Moore
algorithm?
a. O(45)
b. O(9)
c. O(42)
d. O(126)
What is represented by O(n) to Ω(n) to Θ(n)?
a. Measures of linear algorithm performance
b. Results of computing recurrence relations
c. Asymptotically tighter bounds on algorithm performance
d. Different functions for the hash table's hash function
DAT 305 Week 5 Apply - Wk 5 Quiz
Given the previous Java implementation of an adjacency list representation of a directed
graph, what is the runtime complexity of computing the out-degree of every vertex?
a. O(V2)
b. O(V*E)
c. O(V + E)
d. O(V)
Given the previous Java implementation of an adjacency list representation of a directed
graph, what is the runtime complexity of computing the in-degree of every vertex?
a. O(V2)
b. O(V*E)
c. O(V + E)
23. d. O(V)
Given the previous Java implementation of an adjacency matrix representation of a
directed graph, what is the runtime complexity of counting the number of edges of the
graph?
a. O(V + E)
b. O(V2)
c. O(V)
d. O(V*E)
A vertex u of a directed graph can end up in a depth-first tree containing only u, even
though u has both outward and inward edges.
a. True
b. False
If vertices u and v are in different trees of the depth-first forest, then u and v must not be
connected.
a. True
b. False
A depth-first tree is always different from a breadth-first tree rooted at the same vertex for
the same graph G.
a. True
b. False
Using which one of the following data structures can we implement Dijkstra's shortest path
algorithm on unweighted graphs so that it runs in linear time?
a. Binary Tree
b. Queue
c. Heap
24. d. Stack
Given a directed graph with negative edge weights, Dijkstra's algorithm is capable of
finding the shortest path between two nodes.
a. True
b. False
Which algorithm design paradigm does the Floyd-Warshall algorithm follow?
a. Divide and conquer
b. Greedy
c. Prune and search
d. Dynamic programming
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DAT 305 Week 5 Lab Assessment6 Graphs,Prime Numbers,
and Complexity Classes
Using the MindTap Access link, complete Module Lab Assessment 6: Graphs, Prime
Numbers, and Complexity Classes in the Apply section of the Wk 5: Graphs, Prime
Numbers, and Complexity Classes folder.