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Kyle Stewart-Franz,
Abe Feinberg,
and
Brynn Claypoole
Learn about the basic algorithms used in programming.
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What's inside
Syllabus
Get familiar with and practice greedy algorithms.
Learn about the many aspects of graph algorithms!
Learn about dynamic programming and apply your learnings to challenging exercises.
Read more
Syllabus
Get familiar with and practice greedy algorithms.
Learn about the many aspects of graph algorithms!
Learn about dynamic programming and apply your learnings to challenging exercises.
Read more
A*
In this project, you will build a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores various graph algorithms, a fundamental skill in computer science
Taught by experienced instructors Kyle Stewart-Franz, Abe Feinberg, and Brynn Claypoole
Covers important topics like greedy algorithms, dynamic programming, and A*
Offers practical exercises to reinforce learning concepts
Skills acquired are valuable for software developers and those interested in computer science
Requires a basic understanding of programming concepts
Save this course
Save Advanced Algorithms to your list so you can find it easily later:
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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 Advanced Algorithms with these
activities:
Review the basics of graph theory
Show steps
Knowing the basics of graph theory will improve your understanding of graph algorithms.
Browse courses on
Graph Theory
Show steps
-
Read a textbook or online resource on the basics of graph theory.
-
Watch video lectures on graph theory.
-
Solve practice problems on graph theory.
Solve practice problems on greedy algorithms
Show steps
Solving practice problems will help you develop your skills in applying greedy algorithms.
Browse courses on
Greedy Algorithms
Show steps
-
Find a set of practice problems on greedy algorithms.
-
Solve the practice problems.
-
Review your solutions and identify areas for improvement.
Read 'Introduction to Algorithms' by Cormen, Leiserson, and Rivest
Show steps
This book provides a comprehensive overview of algorithms, including graph algorithms.
View
Introduction to Algorithms, fourth edition
on Amazon
Show steps
-
Read the book.
-
Solve the practice problems in the book.
Two other activities
Expand to see all activities and additional details
Show all five activities
Write a blog post about a recent breakthrough in graph algorithms
Show steps
Writing a blog post will help you deepen your understanding of graph algorithms and improve your communication skills.
Browse courses on
Graph Algorithms
Show steps
-
Research recent breakthroughs in graph algorithms.
-
Write a blog post explaining the breakthrough in clear and concise terms.
-
Share your blog post with others.
Develop a graph algorithm to solve a real-world problem
Show steps
Developing a graph algorithm to solve a real-world problem will give you hands-on experience in applying your knowledge.
Browse courses on
Graph Algorithms
Show steps
-
Identify a real-world problem that can be solved using a graph algorithm.
-
Design and implement a graph algorithm to solve the problem.
-
Test and evaluate your algorithm.
Review the basics of graph theory
Show steps
Knowing the basics of graph theory will improve your understanding of graph algorithms.
Browse courses on
Graph Theory
Show steps
Show steps
Show steps
- Read a textbook or online resource on the basics of graph theory.
- Watch video lectures on graph theory.
- Solve practice problems on graph theory.
Solve practice problems on greedy algorithms
Show steps
Solving practice problems will help you develop your skills in applying greedy algorithms.
Browse courses on
Greedy Algorithms
Show steps
Show steps
Show steps
- Find a set of practice problems on greedy algorithms.
- Solve the practice problems.
- Review your solutions and identify areas for improvement.
Read 'Introduction to Algorithms' by Cormen, Leiserson, and Rivest
Show steps
This book provides a comprehensive overview of algorithms, including graph algorithms.
View
Introduction to Algorithms, fourth edition
on Amazon
Show steps
Show steps
Show steps
- Read the book.
- Solve the practice problems in the book.
Two other activities
Expand to see all activities and additional details
Show all five activities
Write a blog post about a recent breakthrough in graph algorithms
Show steps
Writing a blog post will help you deepen your understanding of graph algorithms and improve your communication skills.
Browse courses on
Graph Algorithms
Show steps
Show steps
Show steps
- Research recent breakthroughs in graph algorithms.
- Write a blog post explaining the breakthrough in clear and concise terms.
- Share your blog post with others.
Develop a graph algorithm to solve a real-world problem
Show steps
Developing a graph algorithm to solve a real-world problem will give you hands-on experience in applying your knowledge.
Browse courses on
Graph Algorithms
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved using a graph algorithm.
- Design and implement a graph algorithm to solve the problem.
- Test and evaluate your algorithm.
Career center
Learners who complete Advanced Algorithms will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, implementing, and maintaining software systems. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course can help Software Engineers build a foundation in advanced algorithms, which are essential for developing efficient and effective software systems.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. They work with a variety of machine learning algorithms and techniques to create models that can learn from data and make predictions. This course can help Machine Learning Engineers build a foundation in advanced algorithms, which are essential for developing effective machine learning models.
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. They use a variety of statistical and machine learning techniques to identify patterns and trends in data. This course can help Data Scientists build a foundation in advanced algorithms, which are essential for developing effective data analysis models.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is responsible for developing and using mathematical and statistical models to analyze financial data. They use these models to make predictions about future financial trends. This course can help Quantitative Analysts build a foundation in advanced algorithms, which are essential for developing effective financial models.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve problems in business and industry. They use these techniques to improve efficiency and productivity. This course can help Operations Research Analysts build a foundation in advanced algorithms, which are essential for developing effective operational models.
Computer Scientist
Computer Scientist
A Computer Scientist is responsible for studying the theory and practice of computing. They work on a variety of topics, including algorithms, data structures, and computer architecture. This course can help Computer Scientists build a foundation in advanced algorithms, which are essential for developing effective computer systems.
Algorithm Engineer
Algorithm Engineer
An Algorithm Engineer is responsible for designing and analyzing algorithms. They work on a variety of applications, including computer graphics, gaming, and robotics. This course can help Algorithm Engineers build a foundation in advanced algorithms, which are essential for developing effective algorithms.
Game Developer
Game Developer
A Game Developer is responsible for designing, developing, and testing video games. They work with a variety of programming languages and technologies to create games that are fun and engaging. This course can help Game Developers build a foundation in advanced algorithms, which are essential for developing effective game AI.
Robotics Engineer
Robotics Engineer
A Robotics Engineer is responsible for designing, building, and testing robots. They work with a variety of hardware and software technologies to create robots that can perform a variety of tasks. This course can help Robotics Engineers build a foundation in advanced algorithms, which are essential for developing effective robot control systems.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. They use a variety of financial models and techniques to identify undervalued stocks and bonds. This course can help Financial Analysts build a foundation in advanced algorithms, which are essential for developing effective financial models.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with a variety of data sources and technologies to create data pipelines that are reliable and efficient. This course can help Data Engineers build a foundation in advanced algorithms, which are essential for developing effective data pipelines.
Software Architect
Software Architect
A Software Architect is responsible for designing and developing software systems. They work with a variety of stakeholders to create software systems that meet the needs of users and businesses. This course can help Software Architects build a foundation in advanced algorithms, which are essential for developing effective software architectures.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. They work with a variety of stakeholders to create systems that meet the needs of users and businesses. This course can help Systems Analysts build a foundation in advanced algorithms, which are essential for developing effective computer systems.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They work with a variety of database technologies to ensure that databases are reliable and efficient. This course can help Database Administrators build a foundation in advanced algorithms, which are essential for developing effective database management systems.
Web Developer
Web Developer
A Web Developer is responsible for designing and developing websites. They work with a variety of programming languages and technologies to create websites that are user-friendly and efficient. This course may help Web Developers build a foundation in advanced algorithms, which can be useful for developing complex website features.
For more career information including salaries, visit:
OpenCourser.com/course/zmxfvg/advanced
Reading list
We've selected 13 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
Advanced Algorithms.
Classic textbook on algorithms and data structures. It provides a comprehensive overview of the field, and it valuable resource for anyone who wants to learn more about algorithms.
Comprehensive textbook on integer programming. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about integer programming.
Save
Comprehensive textbook on linear programming. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about linear programming.
Comprehensive textbook on nonlinear programming. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about nonlinear programming.
Comprehensive textbook on convex optimization. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about convex optimization.
This multi-volume work that provides a comprehensive treatment of the art of computer programming. It valuable resource for anyone who wants to learn more about the design and analysis of algorithms.
Comprehensive textbook on algorithmics. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about the foundations of algorithms.
Save
Comprehensive textbook on network flows. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about network flows.
Comprehensive textbook on combinatorial optimization. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about combinatorial optimization.
Practical guide to algorithm design. It provides a step-by-step process for designing and implementing efficient algorithms.
Comprehensive textbook on data structures and algorithms in Java. It valuable resource for anyone who wants to learn how to implement efficient data structures and algorithms in Java.
Comprehensive textbook on algorithms and data structures in C++. It valuable resource for anyone who wants to learn how to implement efficient data structures and algorithms in C++.
Save
Comprehensive textbook on machine learning. It provides a rigorous treatment of the subject, and it valuable resource for anyone who wants to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zmxfvg/advanced
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Time
40320 hours
Level
Intermediate
Via
Udacity
Instructors
Kyle Stewart-Franz
Abe Feinberg
Brynn Claypoole
Language
English
Good to know
Explores various graph algorithms, a fundamental skill in computer science
Taught by experienced instructors Kyle Stewart-Franz, Abe Feinberg, and Brynn Claypoole
Covers important topics like greedy algorithms, dynamic programming, and A*
Offers practical exercises to reinforce learning concepts
Skills acquired are valuable for software developers and those interested in computer science
Requires a basic understanding of programming concepts
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