Evaluate two sorting or two search algorithms : Selection sort demonstration and complexity analysis

Evaluate two sorting or two search algorithms : Selection sort demonstration and complexity analysis

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial explains the selection sort algorithm, which sorts a list by repeatedly finding the smallest element and moving it to the beginning. The process involves using a spot marker to track sorted sections and iterating through the list to perform swaps. The video also covers the complexity of the algorithm, which is O(n^2), and encourages viewers to implement the algorithm in Python.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the selection sort algorithm?

To sort the list in descending order

To move the smallest number to the beginning of the list

To find the median of the list

To move the largest number to the end of the list

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In selection sort, what is the purpose of the spot marker?

To indicate the end of the list

To keep track of the largest number

To mark the position of the smallest number found

To track the sorted portion of the list

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

During the selection sort process, what happens when a smaller number is found?

It is swapped with the current marker position

It is moved to the end of the list

It is added to a separate list

It is ignored

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What observation can be made about the sublist to the left of the spot marker during selection sort?

It contains the largest numbers

It contains duplicate numbers

It is always unsorted

It is always sorted

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of the selection sort algorithm?

O(log n)

O(n^2)

O(n log n)

O(n)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why do we use the full length of the list (N) in complexity analysis, even though the inner loop runs fewer times each iteration?

Because the list length never changes

Because lower order terms are dropped in complexity analysis

Because it simplifies the algorithm

Because it is easier to calculate

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the impact of dropping lower order terms in complexity analysis?

It makes the algorithm faster

It simplifies the complexity expression

It increases the complexity

It provides a more accurate measure of performance