CS502 Assignment 2 Solution Spring 2023
CS502 is a course offered in the Spring semester at various universities around the world. The course covers important topics related to computer science, including algorithms, data structures, programming languages, and more. As part of the course, students are required to complete several assignments that test their understanding of the subject. In this article, we will be discussing the CS502 Assignment 2 Solution for the Spring 2023 semester.
Understanding the Assignment
Before we dive into the solution for Assignment 2, let’s first understand what the assignment is all about. The assignment is designed to test students’ understanding of data structures and algorithms. The main objective of the assignment is to implement a sorting algorithm and evaluate its performance using various metrics. Students are expected to write a program in a programming language of their choice that implements the sorting algorithm and evaluates its performance using various datasets.
The following are the requirements for CS502 Assignment 2 for Spring 2023:
- Implement a sorting algorithm of your choice.
- Evaluate the performance of the sorting algorithm using various datasets.
- Write a report that describes the sorting algorithm and its performance.
Choosing the Sorting Algorithm
The first step in solving the assignment is to choose a suitable sorting algorithm. There are several sorting algorithms to choose from, including Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and more. Each sorting algorithm has its advantages and disadvantages, and the choice of algorithm depends on the specific requirements of the assignment.
For CS502 Assignment 2, we recommend using Quick Sort. Quick Sort is a popular sorting algorithm that has an average time complexity of O(n log n). It is efficient for large datasets and is easy to implement.
Implementing the Sorting Algorithm
Once you have chosen a suitable sorting algorithm, the next step is to implement it in your preferred programming language. In this article, we will be using Python to implement Quick Sort.
Quick Sort in Python
if len(arr) <= 1:
pivot = arr
left = 
right = 
for i in range(1, len(arr)):
if arr[i] < pivot:
return quick_sort(left) + [pivot] + quick_sort(right)
Evaluating the Performance
The next step is to evaluate the performance of the sorting algorithm using various datasets. In CS502 Assignment 2, you are required to use at least three different datasets to evaluate the performance of your sorting algorithm. The datasets should be of different sizes and should contain both random and pre-sorted data.
There are several performance metrics that you can use to evaluate the performance of your sorting algorithm. Some of the most commonly used metrics include:
- Time complexity
- Space complexity
- Number of comparisons
- Number of swaps
For CS502 Assignment 2, we recommend using time complexity as the primary performance metric. You can measure the time complexity of your sorting algorithm using the
time module in Python.
Writing the Report
The final step in solving CS502 Assignment 2 is to write a report that describes your sorting algorithm and its performance. The report should include the following sections:
- Description of the sorting algorithm
- Implementation details
- Performance evaluation