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Бондаренко Наталья, Гайдель Андрей Викторович, Рогачева Елена Валерьевна, Гайдель Андрей, and Рогачева Елена
Курс разработан Самарским национальным исследовательским университетом имени академика С.П. Королева при поддержке Национального исследовательского Томского государственного университета. Курс посвящен методам решения олимпиадных задач по программированию. В...
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Курс разработан Самарским национальным исследовательским университетом имени академика С.П. Королева при поддержке Национального исследовательского Томского государственного университета. Курс посвящен методам решения олимпиадных задач по программированию. В настоящее время соревнования по информатике и программированию очень популярны среди школьников и студентов. Дипломы олимпиад и умение решать алгоритмические задачи помогают абитуриентам поступить в престижные вузы, а студентам - устроиться на работу в ведущие российские и зарубежные IT-компании. По своему уровню курс ориентирован на начинающих участников олимпиад. Он подойдет школьникам, студентам, учителям информатики и программистам - любителям нестандартных задач. В курсе разбираются методы, которым редко уделяется внимание в школе или в вузе, но которые очень важны для успешных выступлений на олимпиадах по программированию. При прохождении курса вы научитесь: -реализовывать перебор, -применять жадные алгоритмы и динамическое программирование, -использовать битовые маски. Все методы объясняются на примерах конкретных задач и отрабатываются на практике. Для освоения курса необходимо владеть каким-либо языком программирования на базовом уровне (ветвление, циклы, массивы, процедуры и функции). В лекциях даются примеры на C++, но для выполнения заданий можно использовать любые язык программирования и среду разработки: вы будете запускать решения на своем компьютере и отправлять ответы. По завершении этого курса учащиеся смогут решать олимпиадные задачи по основным разделам курса: реализовывать перебор, применять жадные алгоритмы и динамическое программирование, использовать битовые маски. Федеральное государственное автономное образовательное учреждение высшего образования «Самарский национальный исследовательский университет имени академика С.П. Королева» - один из ведущих российских университетов. Статус Самарского университета закреплен в нормативных документах Правительства РФ и признан академическим сообществом. Это передовой научно-образовательный центр в сфере аэрокосмических исследований и технологий. Университет реализует образовательные и исследовательские программы в различных областях естественных и социально-гуманитарных наук, экономики и правоведения. Самарский университет входит в число 29 национальных исследовательских университетов России; 21 участника «Проекта 5-100» - российской инициативы академического превосходства, направленной на повышение конкурентоспособности ведущих университетов нашей страны на мировом уровне. Университет входит в наиболее авторитетные мировые рейтинги - QS и Times Higher Education, где Россию представляют всего 27 университетов. Научно-образовательная деятельность Самарского университета охватывает аэрокосмические технологии, двигателестроение, современные методы обработки информации, фотонику, материаловедение, а также фундаментальные технические и естественные науки. Помимо инженерно-технических направлений, университет реализует образовательные и исследовательские программы в других областях, включая правоведение, экономику, менеджмент, лингвистику, исторические и социальные науки.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for beginners in competitive programming
Covers fundamental methods for solving programming challenges
Instructors are experienced in the field of competitive programming
Provides practice opportunities with concrete tasks
Can supplement classroom or self-study materials in competitive programming
Assumes familiarity with basic programming concepts

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Reviews summary

Challenging course for beginners

This course provides a solid foundation in competitive programming techniques, particularly for those who are new to the field. The course covers concepts such as brute force, greedy algorithms, dynamic programming, and bitmasking, which are essential for solving Olympiad-style programming problems.
Designed for Beginners, but Assumes Basic Programming Knowledge
"По своему уровню курс ориентирован на начинающих участников олимпиад."
"Для освоения курса необходимо владеть каким-либо языком программирования на базовом уровне."
Comprehensive Coverage of Olympiad Programming Techniques
"Курс посвящен методам решения олимпиадных задач по программированию."
"Очень сжатое и не наглядное описание алгоритмов."
Unclear Assessment Format for Programming Tasks
"Жутко раздражал формат сдачи задач по программированию в форме теста."
Lack of Visualizations and Examples
"Мало и слишком кратко объясняется, приходилось искать в других источниках информацию, не приведены доп.материалы."
"На мой взгляд можно было бы больше разбавить визуализацией."
Challenging Tasks, May Require External Resources
"После объяснений не все задачи ясно как решать."
"Приходится отдельно искать информацию в интернете и других книгах."

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 Спортивное программирование with these activities:
Review your notes from previous programming courses
Review your notes to refresh your memory on the basics of programming.
Browse courses on Programming
Show steps
  • Gather your notes from previous programming courses.
  • Read through your notes and make sure you understand the concepts.
  • Work through any practice problems or exercises in your notes.
Write a simple program in your preferred programming language
Write a simple program to refresh your programming skills.
Browse courses on Programming
Show steps
  • Choose a simple problem to solve.
  • Design an algorithm to solve the problem.
  • Implement your algorithm in your preferred programming language.
  • Test your program and make sure it works correctly.
Read Introduction to Algorithms by Thomas H. Cormen
This book provides a comprehensive introduction to the field of algorithms, covering a wide range of topics from basic data structures to advanced graph algorithms.
Show steps
  • Read the book carefully.
  • Take notes on the important concepts.
  • Work through the exercises at the end of each chapter.
  • Apply the concepts you learned to solve real-world problems.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Watch video tutorials on YouTube or Coursera
Watch video tutorials to learn about new programming concepts and techniques.
Browse courses on Algorithms
Show steps
  • Search for a tutorial on the topic you want to learn.
  • Watch the tutorial and take notes.
  • Follow along with the examples in the tutorial.
  • Practice using the new concepts and techniques you learned.
Watch video tutorials on dynamic programming
Watch video tutorials to learn about dynamic programming, a powerful technique for solving optimization problems.
Browse courses on Dynamic programming
Show steps
  • Search for a tutorial on dynamic programming.
  • Watch the tutorial and take notes.
  • Follow along with the examples in the tutorial.
  • Practice using dynamic programming to solve problems.
Complete coding exercises on on LeetCode or HackerRank
Practice solving coding problems to improve your understanding of algorithms and data structures.
Browse courses on Algorithms
Show steps
  • Choose a problem to solve.
  • Read the problem statement carefully.
  • Design an algorithm to solve the problem.
  • Implement your algorithm in your preferred programming language.
  • Test your solution and make sure it passes all the test cases.
Join a study group with other students
Join a study group to discuss course material, work on problems together, and quiz each other.
Show steps
  • Find a study group to join.
  • Attend study group meetings regularly.
  • Participate in discussions and ask questions.
  • Work on problems together.
  • Quiz each other on the material.
Solve dynamic programming problems on LeetCode or HackerRank
Practice solving dynamic programming problems to improve your understanding of the technique and its applications.
Browse courses on Dynamic programming
Show steps
  • Choose a problem to solve.
  • Read the problem statement carefully.
  • Design a dynamic programming algorithm to solve the problem.
  • Implement your algorithm in your preferred programming language.
  • Test your solution and make sure it passes all the test cases.

Career center

Learners who complete Спортивное программирование will develop knowledge and skills that may be useful to these careers:
Computer Programmer
Computer Programmers build, test, and maintain software programs and applications. The Спортивное программирование course will introduce you to approaches to solving problems using code, which is a skill central to the work of Computer Programmers.
Computer Systems Analyst
A Computer Systems Analyst designs and develops computer systems. By taking this Спортивное программирование course, you will learn about methods and approaches used for developing software programs and systems, which will help you succeed in this role.
Software Engineer
As a Software Engineer, you will be developing and maintaining computer programs. Software Engineers use various programming languages, including C++, to solve real-world problems. This course on Спортивное программирование can help you develop problem solving skills that will translate to your work as a Software Engineer.
Web Developer
Web Developers use programming languages such as C++ to design and develop websites. By enrolling in this Спортивное программирование course, you will gain an understanding of how to use code to solve programming challenges. This is a useful skill for any Web Developer.
Data Scientist
Data Scientists use their knowledge of computer science and programming to extract meaningful insights from raw data. This Спортивное программирование course will help you improve your problem solving and coding skills, which you can apply to analyzing data and developing predictive models.
Mobile App Developer
Mobile App Developers create and maintain mobile applications for smartphones and other mobile devices. This Спортивное программирование course will teach you methods for solving programming problems that you will encounter in your work as a Mobile App Developer.
Systems Administrator
Systems Administrators ensure the day-to-day operations of computer systems and networks. This Спортивное программирование course will teach you about different programming techniques and algorithms that can be applied to system administration.
Database Administrator
Database Administrators manage and maintain databases. By taking this Спортивное программирование course, you will learn about data structures and algorithms, which are helpful concepts to know as a Database Administrator.
IT Project Manager
IT Project Managers plan, execute, and close IT projects. This Спортивное программирование course will help you develop the technical skills and understanding of software development that is often a requirement for IT Project Managers.
Information Security Analyst
Information Security Analysts design and implement security measures to protect computer networks and systems from cyberattacks. This Спортивное программирование course will help you develop your technical skills and learn about common coding practices that are important for securing systems and networks.
Technical Writer
Technical Writers create written materials explaining technical topics. The Спортивное программирование course will help you improve your understanding of programming concepts, which is useful for explaining these concepts in clear and easy-to-understand language.
Software Quality Assurance (QA) Analyst
Software QA Analysts test and evaluate software programs to ensure they meet quality standards. This Спортивное программирование course will help you build a foundation in software development and testing, both of which are important for this role.
Computer and Information Systems Manager
Computer and Information Systems Managers plan, implement, and maintain computer systems and networks. Taking this Спортивное программирование course may be useful for understanding the technical aspects of systems management.
Information Systems Security Manager
Information Systems Security Managers develop and implement security policies and procedures to protect computer systems and networks. The Спортивное программирование course may help to build your understanding of system security.
Computer and Information Research Scientist
Computer and Information Research Scientists research and develop new technologies and algorithms for use in computer systems. This Спортивное программирование course may help you to develop your programming skills used by Computer and Information Research Scientists.

Reading list

We've selected ten 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 Спортивное программирование.
This monumental work provides a comprehensive and rigorous treatment of computer science fundamentals. While not directly focused on competitive programming, it offers a deep understanding of algorithms, data structures, and mathematical concepts that are essential for advanced problem-solving.
Provides a detailed discussion of combinatorial problems and greedy algorithms, which are essential concepts in competitive programming. It offers a comprehensive coverage of topics such as counting techniques, generating functions, and advanced data structures.
This introductory textbook provides a comprehensive overview of algorithms and data structures. It covers fundamental concepts, such as searching, sorting, recursion, and dynamic programming, making it a valuable resource for understanding the theoretical foundations of competitive programming.
This handbook provides a comprehensive overview of competitive programming techniques. It covers topics such as algorithm design, data structures, and problem-solving strategies, making it a valuable resource for aspiring competitive programmers.
This practical guide provides a step-by-step approach to designing and analyzing algorithms. It includes numerous examples and case studies, making it a valuable resource for learning how to solve competitive programming problems.
Presents a collection of coding interview questions and their solutions. It focuses on key concepts and techniques used in competitive programming, such as dynamic programming, recursion, and greedy algorithms.
Introduces fundamental programming concepts and problem-solving techniques. It emphasizes critical thinking and creativity, which are essential for success in competitive programming.
Provides a comprehensive treatment of data structures and algorithms in Java. It covers essential concepts such as arrays, linked lists, trees, and graphs, and includes numerous examples and exercises.
Provides a collection of coding interview questions and their solutions. While not specifically focused on competitive programming, it covers fundamental concepts and techniques that are essential for success in coding interviews and competitive programming alike.
This classic textbook provides a comprehensive and rigorous introduction to algorithms. It covers a wide range of topics, including sorting, searching, graph theory, and dynamic programming.

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