An algorithm must be seen to be believed, basically; this quote emphasizes the importance of practical applications of an algorithm in order to fully understand its effectiveness. Algorithms are mostly abstract and need a stepbystep approach to comprehend them efficiently. From data structure formulation to design analysis; algorithm methods come in handy in various subjects and places.
Can you take my online class for me becomes the most commonly asked question among students when they start to face difficulty in comprehending the concepts of algorithms effectively. The following post will help simplify the foundational algorithm concepts by giving their method of application along with insight into the basic curriculum of the respective discipline.
Algorithms Covered In Online Algorithm Classes:
The course on algorithms is mainly suitable for STEM (Science, Technology, Engineering, Mathematics) students as they already have a foundational knowledge of the concepts and their terminologies which will help them comprehend the algorithm class in a better manner. Moreover; students are known for their strong analytical and problemsolving abilities (bestassignmentwriters, 2024) that prove to be helpful in algorithmic principles.
Besides; do my class online for me is always an option to get professional guidance if you are struggling to grasp the concepts in the beginning. Even if you do not have any prior experience in algorithms; you can still enrol in this course. Its curriculum mainly involves four stages:

Introduction To Algorithms:
In the early stages of the development of neural networks, researchers aspired to create a system that mimicked the functions of the human brain (Hussein AbdelJaber, 2022) which gave rise to algorithms. This session introduces students to algorithms, the instructions that they might need and the steps to sort a list alphabetically.

Algorithms Creation:
Creating your own algorithms in the flowchart as well as in pseudocode form is studied in this session.

Computer Engineering Essentials:
This area of study covers the basics of computer language that will help the students command computers to form codes accordingly.

Programs Creation:
The creation of computer programs with the help of blockbased language to construct programming sequences is studied in this stage of the algorithm coursework.

Data Definition:
Basic data operations by simple programs and changing inputted data into different outputted data are studied in this session.

Data Usage:
The final session of the algorithm class comprises binary and hexadecimal conversions, binary additions, and shifts.
Algorithms And Their Method Of Application:
Now that; you have an idea about the basics that are going to be taught through the online algorithm class; it is time to study some of the main algorithms and their methods of application respectively. Each algorithm principle serves a different purpose and has a different application. Some of the common algorithms along with their applications are;
Sorting Algorithms:
A sorting algorithm is a method or a set of instructions used to arrange items such as numbers, strings, or other data types in a specific order.

Algorithms:
Quick Sort, Merge Sort, Heap Sort, Insertion Sort, Selection Sort, and so on.

Application:
Sorting algorithms are extensively used in various applications such as organizing data, searching efficiently, and in other algorithms like graph algorithms as well as dynamic programming.
Searching Algorithms:
Searching algorithms are techniques that are used to locate a particular item or element within a collection of data. The goal of a searching algorithm is to determine whether a target item exists within the data set followed by identifying its position or retrieving it.

Algorithms:
Binary Search, Linear Search, DepthFirst Search, BreadthFirst Search, etc.

Application:
Searching algorithms are used to find specific items efficiently within a dataset. They are essential in computer science for efficiently retrieving information from various data structures like arrays, lists, and more.
Graph Algorithms:
Graph algorithms are the type of algorithms that operate on graphs, which are mathematical structures representing connections between entities.

Algorithms:
 Dijkstra’s Algorithm for shortest path.
 Prim’s Algorithm for minimum spanning tree.
 Kruskal’s Algorithm for minimum spanning tree.
 BellmanFord Algorithm for the shortest path with negative weights and so on.

Application:
Graph algorithms are applied in various scenarios like network routing, resource allocation, scheduling, and problems where entities can be represented as graphs.
Dynamic Programming:
Dynamic programming is a powerful method in computer science and mathematics that is used to solve complex problems and store the results of these subproblems to avoid repetitive computations.

Algorithms:
Fibonacci Sequence using Dynamic Programming, Knapsack Problem, Longest Common Subsequence, and so on.

Application:
Dynamic programming is used to solve optimization problems by breaking them down into simpler subproblems and storing the results of these subproblems to avoid redundant calculations. Applications include resource allocation, scheduling, and sequence alignment.
Greedy Algorithms:
Greedy algorithms are a type of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution.

Algorithms:
Dijkstra’s Algorithm, Prim’s Algorithm, Huffman Coding, Job Scheduling, etc.

Application:
Greedy algorithms make a sequence of choices. Each of the choices is locally optimal at that moment. They are used in problems like finding the shortest path in a graph, constructing optimal tree structures, and solving various optimization problems.
Divide and Conquer Algorithm:
As the name implies; divide and conquer algorithms involve breaking down a problem into smaller subproblems, solving these subproblems recursively, and combining their solutions to solve the larger problem.

Algorithms:
Binary Search, Merge Sort, Quick Sort, Strassen’s Matrix Multiplication, Closest Pair of Points, etc.

Application:
The applications of the divide and conquer algorithm include efficient searching, sorting, and matrix operations.
String Matching Algorithms:
String matching algorithms are techniques used to find occurrences of a pattern (substring) within a text (string).

Algorithms:
KnuthMorrisPratt, Algorithm, RabinKarp Algorithm, and so on.

Application:
String matching algorithms are used in text processing, pattern recognition, and data retrieval tasks. Moreover; they are also essential components of modern software systems and powering functionalities.
Conclusion:
An algorithm is defined as a set of steps that are designed to obtain a specific objective. Most commonly STEM students opt for the online algorithm coursework as it mainly involves the sorting of data sheets. There are six main areas of study that are covered in an online algorithm class. Some basic algorithmic principles are taught during the course. Each of these principles has its practical applications. Understanding those applications will broaden students’ understanding of the respective coursework even more.