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Filipp Rukhovich,
Ilia Stepanov,
Oleg Hristenko,
and
Vladislav Nevstruev
This online course will help you to join the world of competitive programming and even become worldwide competitions participant! The course includes theoretical and practical aspects that are necessary to solve problems of any difficulties.
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. You will also learn how to submit your solution to the testing system.
There are four modules in the course — each for one week of education.
Program...
Read more
This online course will help you to join the world of competitive programming and even become worldwide competitions participant! The course includes theoretical and practical aspects that are necessary to solve problems of any difficulties.
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. You will also learn how to submit your solution to the testing system.
There are four modules in the course — each for one week of education.
Program...
Read more
This online course will help you to join the world of competitive programming and even become worldwide competitions participant! The course includes theoretical and practical aspects that are necessary to solve problems of any difficulties.
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. You will also learn how to submit your solution to the testing system.
There are four modules in the course — each for one week of education.
Program Modules:
Module 1: Basic Algorithms
Module 2: Number Theory
Module 3: Dynamic Programming
Module 4: Graph Theory
Register for this course and see more details by visiting:
OpenCourser.com/course/440de2/competitive
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches intermediate skills in computer science, which apply to industry and research
Taught by instructors with strong reputations in the field
Provides a strong foundation for beginners in the field of competitive programming
Develops core skills for software development
Covers basic programming fundamentals, number theory, dynamic programming, and graph theory
Includes practical aspects, such as how to submit solutions to a testing system
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Reviews summary
Challenging course for true beginners
This course is intended for true beginners to competitive programming. While some reviewers found the materials easy to understand, some found the course to be not self-contained enough for absolute beginners. Even though the course materials are for beginners, some reviewers found the course difficult to understand. Reviewers also complained about the materials, saying that they are sometimes difficult to understand and lack examples.
Course is made for absolute beginners.
"This course is intended for true beginners to competitive programming."
Instructor's accent can be difficult to understand.
"the course itself is not ... self-contained ..."
"...sometimes the lecture is hard to follow because of the lecturer accent..."
Materials can be difficult to understand and lack examples.
"...the course itself is not as self-contained as other beginner-level courses."
"The only learning materials is the video (which is quite short) and sometimes the lecture is hard to follow because of the lecturer accent..."
"There is no slide in .pdf format that can be accessed by the student."
"Some examples of codes are very limited, especially for those in graph algorithms."
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 Competitive Programming for Beginners with these
activities:
Review Discrete Mathematics and Number Theory
Show steps
Strengthen your mathematical foundation to enhance your ability to solve competitive programming problems.
Browse courses on
Discrete Mathematics
Show steps
-
Revise basic concepts in discrete mathematics and number theory.
-
Practice solving problems related to these concepts.
-
Attend a review session or workshop to clarify any doubts.
Review Theoretical Computer Science
Show steps
Review basic theoretical concepts to understand and solve algorithmic problems.
View
Introduction to the Theory of Computation
on Amazon
Show steps
-
Read the introduction and review chapters 1-3.
-
Work through the examples and exercises in each chapter.
-
Attend a lecture or workshop on algorithm design principles.
Follow Competitive Programming Tutorials
Show steps
Supplement lectures with additional resources to enhance understanding of competitive programming techniques.
Browse courses on
Competitive Programming
Show steps
-
Identify credible online tutorials or video courses on competitive programming.
-
Follow the tutorials and complete the practice problems.
-
Seek clarification from instructors or peers if needed.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Problem Solving on LeetCode
Show steps
Build problem-solving skills and develop a deeper understanding of algorithms.
Browse courses on
Competitive Programming
Show steps
-
Create a LeetCode account and complete at least 10 easy problems.
-
Work through the solutions and explanations provided by other users.
-
Attempt to solve medium or hard problems based on your comfort level.
-
Participate in LeetCode contests to practice under timed conditions.
Participate in Online Coding Competitions
Show steps
Practice problem-solving and improve your competitive programming skills in a collaborative environment.
Browse courses on
Competitive Programming
Show steps
-
Join online coding platforms like HackerRank or CodeChef.
-
Participate in coding challenges and compete with others.
-
Analyze your performance and learn from your mistakes.
-
Collaborate with peers to solve problems and share knowledge.
Attend Coding Competition and Hackathons
Show steps
Gain hands-on experience, network with like-minded individuals, and receive feedback on your skills.
Browse courses on
Competitive Programming
Show steps
-
Identify upcoming coding competitions or hackathons in your area.
-
Register and prepare for the event by practicing and reviewing concepts.
-
Participate in the competition or hackathon and collaborate with others.
-
Reflect on your performance and seek feedback to improve your skills.
Write Blog Posts on Competitive Programming
Show steps
Enhance your understanding and communication skills by writing about competitive programming concepts.
Browse courses on
Competitive Programming
Show steps
-
Identify a specific topic related to competitive programming that you want to write about.
-
Research and gather information on the topic.
-
Write a well-structured blog post, explaining the concepts clearly.
-
Proofread and edit your post for clarity and accuracy.
-
Publish your blog post and share it with others.
Contribute to Open Source Projects
Show steps
Gain practical experience, improve your coding skills, and contribute to the competitive programming community.
Browse courses on
Competitive Programming
Show steps
-
Identify open source projects related to competitive programming.
-
Study the project's documentation and requirements.
-
Identify areas where you can contribute.
-
Fork the project and make your contributions.
-
Collaborate with project maintainers to merge your changes.
Review Discrete Mathematics and Number Theory
Show steps
Strengthen your mathematical foundation to enhance your ability to solve competitive programming problems.
Browse courses on
Discrete Mathematics
Show steps
Show steps
Show steps
- Revise basic concepts in discrete mathematics and number theory.
- Practice solving problems related to these concepts.
- Attend a review session or workshop to clarify any doubts.
Review Theoretical Computer Science
Show steps
Review basic theoretical concepts to understand and solve algorithmic problems.
View
Introduction to the Theory of Computation
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and review chapters 1-3.
- Work through the examples and exercises in each chapter.
- Attend a lecture or workshop on algorithm design principles.
Follow Competitive Programming Tutorials
Show steps
Supplement lectures with additional resources to enhance understanding of competitive programming techniques.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Identify credible online tutorials or video courses on competitive programming.
- Follow the tutorials and complete the practice problems.
- Seek clarification from instructors or peers if needed.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Problem Solving on LeetCode
Show steps
Build problem-solving skills and develop a deeper understanding of algorithms.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Create a LeetCode account and complete at least 10 easy problems.
- Work through the solutions and explanations provided by other users.
- Attempt to solve medium or hard problems based on your comfort level.
- Participate in LeetCode contests to practice under timed conditions.
Participate in Online Coding Competitions
Show steps
Practice problem-solving and improve your competitive programming skills in a collaborative environment.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Join online coding platforms like HackerRank or CodeChef.
- Participate in coding challenges and compete with others.
- Analyze your performance and learn from your mistakes.
- Collaborate with peers to solve problems and share knowledge.
Attend Coding Competition and Hackathons
Show steps
Gain hands-on experience, network with like-minded individuals, and receive feedback on your skills.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Identify upcoming coding competitions or hackathons in your area.
- Register and prepare for the event by practicing and reviewing concepts.
- Participate in the competition or hackathon and collaborate with others.
- Reflect on your performance and seek feedback to improve your skills.
Write Blog Posts on Competitive Programming
Show steps
Enhance your understanding and communication skills by writing about competitive programming concepts.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Identify a specific topic related to competitive programming that you want to write about.
- Research and gather information on the topic.
- Write a well-structured blog post, explaining the concepts clearly.
- Proofread and edit your post for clarity and accuracy.
- Publish your blog post and share it with others.
Contribute to Open Source Projects
Show steps
Gain practical experience, improve your coding skills, and contribute to the competitive programming community.
Browse courses on
Competitive Programming
Show steps
Show steps
Show steps
- Identify open source projects related to competitive programming.
- Study the project's documentation and requirements.
- Identify areas where you can contribute.
- Fork the project and make your contributions.
- Collaborate with project maintainers to merge your changes.
Career center
Learners who complete Competitive Programming for Beginners will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future events or outcomes. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models to solve problems. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to train and deploy efficient machine learning models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve problems in business and industry. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Statistician
Statistician
Statisticians use statistical methods to analyze data. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software systems. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to write efficient and reliable code.
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Web Developer
Web Developer
Web Developers design and develop websites. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to build efficient and scalable websites.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Data Engineer
Data Engineer
Data Engineers design and build systems to manage and process data. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to design and implement efficient data pipelines.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions about financial markets. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and data analysis. Additionally, the course's focus on algorithms and efficiency will help you to develop the technical skills necessary to work with large datasets.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to design and implement efficient algorithms.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to write efficient and reliable code.
Computational Scientist
Computational Scientist
Computational Scientists use computers to solve problems in science and engineering. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to design and implement efficient algorithms.
Algorithm Engineer
Algorithm Engineer
Algorithm Engineers design and develop algorithms to solve problems. The Competitive Programming for Beginners course can help you develop the skills necessary to succeed in this role, such as problem-solving, critical thinking, and algorithm design. Additionally, the course's focus on efficiency and optimization will help you to develop the skills necessary to design and implement efficient algorithms.
For more career information including salaries, visit:
OpenCourser.com/course/440de2/competitive
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
Competitive Programming for Beginners.
Covers a wide range of topics in competitive programming, including algorithms, data structures, and problem solving strategies. It valuable resource for anyone looking to improve their skills in this area.
Classic textbook on algorithms. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming. It valuable resource for anyone looking to learn more about the theory and practice of algorithms.
Guide to writing concurrent Java code. It covers a wide range of topics, including threads, synchronization, and concurrency patterns. It valuable resource for any Java developer.
Save
Guide to thinking like a Java programmer. It covers a wide range of topics, including object-oriented programming, design patterns, and concurrency. It valuable resource for any Java developer.
Save
Guide to learning Java. It covers a wide range of topics, including object-oriented programming, design patterns, and concurrency. It valuable resource for any Java developer.
Textbook on algorithms that is written in Java. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming. It valuable resource for anyone looking to learn more about algorithms in Java.
Textbook on algorithms that is written in Python. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming. It valuable resource for anyone looking to learn more about algorithms in Python.
Save
Textbook on data structures that is written in Java. It covers a wide range of topics, including arrays, lists, stacks, queues, trees, and graphs. It valuable resource for anyone looking to learn more about data structures in Java.
Save
Guide to the Java Collections Framework. It covers a wide range of topics, including lists, sets, maps, and queues. It valuable resource for anyone looking to learn more about the Java Collections Framework.
Save
Guide to writing clean code. It covers a wide range of topics, including naming conventions, formatting, and error handling. It valuable resource for anyone looking to improve the quality of their code.
Guide to becoming a pragmatic programmer. It covers a wide range of topics, including software development practices, problem solving, and communication. It valuable resource for any software developer.
Save
Collection of programming challenges that are designed to test your skills in a variety of areas. It valuable resource for anyone looking to improve their programming skills.
Multi-volume work that covers a wide range of topics in computer science. It valuable resource for anyone looking to learn more about the theory and practice of computer science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/440de2/competitive
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Time
18 hours
Via
Coursera
Institution
Moscow Institute of Physics and Technology
Instructors
Filipp Rukhovich
Ilia Stepanov
Oleg Hristenko
Vladislav Nevstruev
Good to know
Teaches intermediate skills in computer science, which apply to industry and research
Taught by instructors with strong reputations in the field
Provides a strong foundation for beginners in the field of competitive programming
Develops core skills for software development
Covers basic programming fundamentals, number theory, dynamic programming, and graph theory
Includes practical aspects, such as how to submit solutions to a testing system
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