Algorithm Design and Analysis from edX

How do you optimally encode a text file? How do you find shortest paths in a map? How do you design a communication network? How do you route data in a network? What are the limits of efficient computation?

This course, part of the Computer Science Essentials for Software Development Professional Certificate program, is an introduction to design and analysis of algorithms, and answers along the way these and many other interesting computational questions.

You will learn about algorithms that operate on common data structures, for instance sorting and searching; advanced design and analysis techniques such as dynamic programming and greedy algorithms; advanced graph algorithms such as minimum spanning trees and shortest paths; NP-completeness theory; and approximation algorithms.

After completing this course you will be able to design efficient and correct algorithms using sophisticated data structures for complex computational tasks.

What you'll learn

How to represent data in ways that allow you to access it efficiently in the ways you need to
How to analyze the efficiency of algorithms
How to bootstrap solutions on small inputs into algorithmic solutions on bigger inputs
Solutions to several classic optimization problems
How to critically analyze whether a locally optimal approach (greedy) can provide a globally optimal solution to a problem

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Delves into the fundamentals of algorithm designs and their analysis, which are critical concepts in computer science and software development

Provides a solid grounding in data structures, preparing learners for advanced topics in computer science

Covers advanced algorithms like dynamic programming and greedy algorithms, expanding learners' problem-solving abilities

Introduces NP-completeness theory, a cornerstone of theoretical computer science, broadening learners' understanding of algorithmic limitations

Explores approximation algorithms, offering practical insights into handling computationally challenging problems

Career center

Learners who complete Algorithm Design and Analysis will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists analyze data and use it to gain insights into a business or organization. They use this data to make inferences and create predictive models to provide recommendations for decision-making. They also develop algorithms and statistical models to process and analyze data. This course provides a solid foundation for these tasks, teaching how to efficiently represent, analyze, and optimize complex computational algorithms. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Software Engineer

Software Engineers design and develop software applications. They use programming languages and software development tools to create and maintain software systems. They also work with other engineers and technical staff to ensure that software systems are reliable and efficient. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Computer Scientist

Computer Scientists research and develop new computing technologies. They work on a wide range of topics, including algorithms, data structures, programming languages, and artificial intelligence. They use their knowledge to solve complex problems and create new technologies that benefit society. This course provides a solid foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Data Analyst

Data Analysts collect, clean, and analyze data to extract meaningful insights. They use data visualization tools to present their findings and communicate them to stakeholders. They also work with other team members to identify and solve business problems. This course provides a strong foundation for these tasks, teaching how to efficiently represent, analyze, and optimize complex computational algorithms. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They use machine learning algorithms and techniques to create models that can learn from data and make predictions. They also work with other engineers and technical staff to deploy and maintain machine learning models. This course provides a solid foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They use these models to make predictions about future financial trends and to develop investment strategies. They also work with other financial professionals to develop and implement investment strategies. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. They use these techniques to optimize business processes and improve efficiency. They also work with other team members to identify and solve business problems. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They use these techniques to develop insurance policies and to price financial products. They also work with other professionals to develop and implement financial strategies. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Statistician

Statisticians collect, analyze, and interpret data. They use statistical methods to draw conclusions about the world around us. They also work with other professionals to develop and implement research studies. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Software Developer

Software Developers design, develop, and maintain software applications. They use programming languages and software development tools to create and maintain software systems. They also work with other engineers and technical staff to ensure that software systems are reliable and efficient. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Web Developer

Web Developers design and develop websites. They use programming languages and web development tools to create and maintain websites. They also work with other engineers and technical staff to ensure that websites are reliable and efficient. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Database Administrator

Database Administrators design and maintain databases. They use database management systems to create and maintain databases and to ensure that they are reliable and efficient. They also work with other engineers and technical staff to ensure that databases are integrated with other systems. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Systems Analyst

Systems Analysts design and implement computer systems. They work with users to understand their needs and to develop systems that meet those needs. They also work with other engineers and technical staff to implement and maintain systems. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Information Security Analyst

Information Security Analysts design and implement security systems to protect computer systems and networks from unauthorized access and attack. They also work with other engineers and technical staff to implement and maintain security systems. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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Network Administrator

Network Administrators design and manage computer networks. They work with other engineers and technical staff to implement and maintain networks. They also work with users to ensure that they have access to the resources they need. This course provides a strong foundation for these tasks, teaching how to design and analyze efficient algorithms and data structures. This course will also help you develop the problem-solving skills necessary to succeed in this role.

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