2.2.2 Computational methods

2.2.2 Computational methods

11th Grade

19 Qs

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2.2.2 Computational methods

2.2.2 Computational methods

Assessment

Quiz

Computers

11th Grade

Practice Problem

Medium

Created by

Laura Coop Rushworth

Used 22+ times

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19 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is meant by a computable problem?

A problem that can be solved using an algorithm

Bees

A problem solved by a computer

A problem that cannot be solved

2.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Give three limiting factors to computable problems

Processing power
Processor speed
Computer memory
SSD size

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

State one factor which might be considered during the Problem Definition phase

Strengths and weaknesses of current solution
Previous systems
Problem decomposition
Develop sections in parallel

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the name given to the process in which problems are continually broken down until each subproblem can be represented as a subroutine?

Problem decomposition
Problem Definition
Divide and Conquer
Abstraction

5.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

State two purposes of problem decomposition

Identify sections which can make use of pre-coded modules or libraries
Simplify project management
Strengths and weaknesses of current solution
Develop sections in parallel

6.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

State two purposes of problem decomposition

Develop sections in parallel
Simplify testing and maintenance
Backtracking
Data mining

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe how the Divide and Conquer technique works

The problem size is halved with every iteration. Each individual subproblem is then solved recursively. The solutions to the subproblems are then recombined o<br />form the final solution to the problem.
A computational technique in which excessive details are removed to simplify a problem
Identify sections which can make use of pre-coded modules or libraries
The backtracking algorithm works by methodically visiting each path and building a solution based on the paths found to be correct. If a path is found to be invalid at any point, it backtracks to the previous stage and visits an alternate path.

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