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Unit 6 Review

Authored by Nolan Fleming

Computers

9th - 12th Grade

Used 1+ times

Unit 6 Review
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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define the word Algorithm.

a pattern of beats

a field of mathematics in which some numbers are replaced by variables

a multi-layered pasta dish

a finite set of instructions that accomplish a task.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

How does a Binary Search work?

Cut an ordered list in half then check if the given number is greater to or less than the number found. Repeat until the given number is found.

Start your search at the beginning of an ordered list and check each item in order until the given number is found.

Check the numbers at the beginning and end of an ordered list. Continue the search at whichever end has a value closest to the given number.

First, divide an ordered list into four different sub-lists. Then search each one for the given number.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define Efficiency.

the measure of an algorithm's effectiveness.

a measure of how many steps are needed to complete an algorithm.

the ability of an algorithm to find any given number in an ordered list.

a quality of algorithms that are easy to use

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

exponential

linear

logarithmic

polynomial

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

exponential

linear

logarithmic

polynomial

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an algorithm that runs in "reasonable" time?

Algorithms with efficiency of exponential order

Algorithms with efficiency of polynomial order or lower

Algorithms with constant efficiency only

Algorithms that listen to your side without passion or judgment

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an algorithm that runs in "unreasonable" time?

Algorithms that won't listen to you and are never open to new information

Algorithms that always show up late, even when you tell them to show up an hour earlier.

Algorithms with factorial or exponential efficiency

Algorithms that never increase in time, no matter how big the number of items is.

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