We may earn an affiliate commission when you visit our partners.

Arrange student marks using Merge Sort algorithm

In this project, the learner will use Java programming language to create user-defined methods to recursively and iteratively implement a merge sort algorithm to arrange an array of integers in ascending order, and also sort student marks entered by the user.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Project Overview

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops graduate-level skills for sorting algorithms, which are core skills for data scientists and software engineers

Explores merge sort algorithm, which is standard in industry for sorting large data sets

Taught by Dr. Chao Mbogho, a seasoned computer science instructor with expertise in sorting algorithms

Emphasizes practicality by implementing the algorithm in Java, a popular programming language used in industry

Suitable for intermediate learners with prior programming experience

Save this course

Save Arrange student marks using Merge Sort algorithm to your list so you can find it easily later:

Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Arrange student marks using Merge Sort algorithm with these activities:

Review Time and Space Complexity of Merge Sort

Show steps

Refreshing your knowledge on the time and space complexity of Merge Sort will help you better understand its performance characteristics.

Browse courses on Merge Sort

Show steps

Step 1: Review the theoretical time complexity of Merge Sort (O(n log n)).
Step 2: Analyze the space complexity of Merge Sort (O(n)).
Step 3: Understand how these complexities affect the algorithm's performance in different scenarios.

Read 'Introduction to Algorithms' by Cormen et al.

Show steps

Reading 'Introduction to Algorithms' will provide you with a comprehensive understanding of the Merge Sort Algorithm and its applications.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Follow Online Tutorials on Merge Sort Optimizations

Show steps

Following online tutorials will provide you with additional insights and best practices for optimizing the Merge Sort Algorithm.

Browse courses on Merge Sort

Show steps

Step 1: Identify online tutorials or resources on Merge Sort optimizations.
Step 2: Watch or read the tutorials to learn about different optimization techniques.
Step 3: Implement the optimizations in your Merge Sort code.
Step 4: Test and compare the performance of the optimized algorithm.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Participate in Peer Group Discussions on Merge Sort

Show steps

Engaging in peer discussions will allow you to exchange knowledge, share experiences, and learn from others' perspectives on the Merge Sort Algorithm.

Browse courses on Merge Sort

Show steps

Step 1: Join or create a peer group focused on Merge Sort or sorting algorithms.
Step 2: Participate in discussions, ask questions, and share your insights.
Step 3: Collaborate with peers on understanding complex concepts or algorithmic challenges.

Practice the Merge Sort Algorithm

Show steps

Practicing the Merge Sort Algorithm will help you solidify your understanding of the algorithm and develop your problem-solving skills.

Browse courses on Merge Sort

Show steps

Step 1: Write a user-defined method for the merge sort algorithm using Java.
Step 2: Implement the merge operation to merge two sorted arrays.
Step 3: Recursively sort the left and right halves of the array using the merge sort algorithm.
Step 4: Merge the sorted left and right halves to get the final sorted array.

Create Visualizations of the Merge Sort Algorithm

Show steps

Creating visualizations of the Merge Sort Algorithm will help you gain a deeper understanding of how the algorithm works and how it is applied to different data sets.

Browse courses on Merge Sort

Show steps

Step 1: Choose a visualization tool or library.
Step 2: Implement the merge sort algorithm using the chosen visualization tool.
Step 3: Visualize the algorithm's steps, such as splitting, merging, and sorting.
Step 4: Explore different input data sets and observe how the algorithm performs.

Contribute to Open-Source Implementations of Merge Sort

Show steps

Contributing to open-source Merge Sort implementations will allow you to gain practical experience, showcase your skills, and collaborate with others in the community.

Browse courses on Merge Sort

Show steps

Step 1: Identify open-source projects related to Merge Sort.
Step 2: Explore the codebase and understand the implementation.
Step 3: Contribute code improvements, optimizations, or bug fixes.
Step 4: Participate in discussions and collaborate with the project maintainers.

Career center

Learners who complete Arrange student marks using Merge Sort algorithm will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers design, develop, and test software applications and systems. They use their understanding of programming languages, data structures, and algorithms to create efficient and reliable software. This course can help Software Engineers to improve their understanding of merge sort algorithm, which is a fundamental sorting algorithm used in many software applications.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data. This course can help Data Analysts to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently.

See salaries and explore the career path for Data Analyst

Computer Scientist

Computer Scientists research and develop new computing technologies. They work on a wide range of topics, including artificial intelligence, computer graphics, and operating systems. This course can help Computer Scientists to improve their understanding of merge sort algorithm, which is a fundamental sorting algorithm used in many computing applications.

See salaries and explore the career path for Computer Scientist

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access and attacks. They use their knowledge of security protocols, cryptography, and risk management to identify and mitigate security risks. This course can help Information Security Analysts to improve their understanding of merge sort algorithm, which can be used to sort security logs and identify anomalies.

See salaries and explore the career path for Information Security Analyst

Database Administrator

Database Administrators design, implement, and maintain databases. They use their knowledge of database management systems to ensure that data is stored and retrieved efficiently. This course can help Database Administrators to improve their understanding of merge sort algorithm, which can be used to sort large databases quickly and efficiently.

See salaries and explore the career path for Database Administrator

Systems Analyst

Systems Analysts design, develop, and implement computer systems. They work with users to understand their needs and develop systems that meet those needs. This course can help Systems Analysts to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in designing and developing efficient systems.

See salaries and explore the career path for Systems Analyst

Web Developer

Web Developers design, develop, and maintain websites. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both functional and visually appealing. This course can help Web Developers to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in developing efficient and scalable websites.

See salaries and explore the career path for Web Developer

IT Project Manager

IT Project Managers plan, execute, and close IT projects. They use their knowledge of project management methodologies to ensure that projects are completed on time, within budget, and within scope. This course can help IT Project Managers to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in managing complex IT projects.

See salaries and explore the career path for IT Project Manager

Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency and effectiveness. They use their knowledge of business analysis techniques to identify problems and develop solutions that meet business needs. This course can help Business Analysts to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in analyzing business data and identifying trends and patterns.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines. They use their knowledge of big data technologies to collect, clean, and transform data for analysis. This course can help Data Engineers to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in developing efficient and scalable data pipelines.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They use their knowledge of machine learning algorithms and data science techniques to build models that can learn from data and make predictions. This course can help Machine Learning Engineers to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in developing efficient and scalable machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data. They use these insights to help businesses make better decisions. This course can help Data Scientists to improve their understanding of merge sort algorithm, which can be used to sort large datasets efficiently, a skill that is useful in analyzing large datasets and identifying trends and patterns.

See salaries and explore the career path for Data Scientist

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Arrange student marks using Merge Sort algorithm.

Introduction to Algorithms, fourth edition

Save

Classic textbook on algorithms and provides a comprehensive overview of the merge sort algorithm, including its time and space complexity analysis. It also covers other sorting algorithms, data structures, and algorithm design techniques.

Arrange student marks using Merge Sort algorithm

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses