Understanding Algorithms and Sorting Techniques

Understanding Algorithms and Sorting Techniques

Assessment

Interactive Video

Computers

9th - 12th Grade

Practice Problem

Medium

Created by

Mia Campbell

Used 13+ times

FREE Resource

The video introduces algorithms, focusing on sorting and graph search problems. It explains the importance of efficient algorithms in computer science, using examples like Selection Sort and Merge Sort for sorting, and Dijkstra's algorithm for graph search. The video highlights the computational complexity of these algorithms and their practical applications.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an algorithm in the context of computer science?

A software application

A set of specific steps to solve a problem

A programming language

A type of computer hardware

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of Selection Sort?

It has a complexity of N log N

It is a recursive algorithm

It is the most efficient sorting algorithm

It involves nested loops

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main disadvantage of Selection Sort?

It requires a lot of memory

It has a high time complexity of N squared

It cannot sort large arrays

It is not stable

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Merge Sort improve efficiency over Selection Sort?

By using less memory

By sorting in place

By splitting and merging arrays

By using a single loop

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of Merge Sort?

N squared

N log N

N factorial

N

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a graph in computer science?

A network of nodes connected by lines

A type of sorting algorithm

A programming language

A data storage format

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of Dijkstra's algorithm?

To compress data

To find the shortest path in a graph

To encrypt information

To sort arrays

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