Основы олимпиадного программирования from Coursera

Данный курс рассчитан на школьников 5-11 классов, которые хотели бы достигнуть высоких результатов в олимпиадах по программированию, таким как муниципальный и региональный этапы Всероссийской олимпиады школьников по информатике. Курс также подойдет для студентов бакалавриата, изучающих математику и компьютерные науки, интересующихся решением задач по программированию и желающих участвовать в олимпиадах и международных соревнованиях. Данный курс предназначен для начинающих, то есть для его прохождения не понадобится ничего, кроме базового владения каким-либо языком программирования и базовых знаний из школьной программы по математике. В курсе представлен обширный набор алгоритмов и структур данных, которых будет достаточно не только для того, чтобы показать какие-то результаты на муниципальном этапе, но и взять диплом призера на финальном этапе всероссийской олимпиады школьников по информатике. В курс входят такие темы, как: бинарный поиск, сортировка пузырьком, сортировка слиянием, быстрая сортировка, базовые задачи динамического программирования, поиск наибольшей общей подпоследовательности, поиск наибольшей возрастающей подпоследовательности, алгоритмы DFS и BFS, алгоритмы Дейкстры, Флойда и Форда — Беллмана, задачи динамического программирования на дереве, задача о рюкзаке, динамика по подотрезкам и подмножествам, генерация комбинаторных объектов, бинарное возведение в степень, алгоритм Евклида, хеши, Z-функция, префикс-функция, дерево отрезков, дерево Фенвика и т. д.

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Covers fundamental programming concepts and algorithms essential for competitive programming

Suitable for students with a basic understanding of a programming language and elementary mathematics

Empowers students to reach advanced levels in programming competitions, including the All-Russian Olympiad in Computer Science

Taught by experienced instructors with expertise in competitive programming and computer science education

Students are expected to have basic computer and programming knowledge, which may present a barrier for complete beginners

Reviews summary

Excellent course for olympiad programming

Основы олимпиадного программирования is an excellent course for students interested in improving their programming skills for Olympiads.

The instructor provides quick feedback on the forum.

"быстрый фидбек на форуме..."

The explanations are clear and easy to follow.

"понятные объяснения..."

Course provides a wide range of algorithms and data structures.

"В курсе представлен обширный набор алгоритмов и структур данных..."

Career center

Learners who complete Основы олимпиадного программирования will develop knowledge and skills that may be useful to these careers:

Software Developer

Software Developers design, develop, and test software applications. In this role, problem-solving skills are vital, and this course can help you advance those skills. The course will give you a strong foundation in programming algorithms and data structures which are the building blocks of software solutions. This will give you the knowledge and understanding to break down complex programming problems into manageable tasks, ultimately helping you solve complex problems with software.

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Data Analyst

Data Analysts turn raw data into meaningful information that can be used to improve decision-making. The course can lay the groundwork for success in this role. The course provides a hands-on introduction to data structures and algorithms, which are essential for processing and manipulating large datasets. Additionally, the course covers important programming concepts such as dynamic programming, which is widely used in data analysis for solving optimization problems.

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Web Developer

Web Developers build and maintain websites. The course can provide a strong foundation for aspiring web developers. The course teaches you how to use programming algorithms and data structures to solve problems related to web development. Additionally, the course provides an introduction to important programming concepts such as dynamic programming and recursion, which are useful in developing interactive and dynamic web applications.

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Computer Programmer

Computer Programmers write and test code that solves real-world problems. This course introduces you to some of the most important concepts in computer programming, including algorithms, data structures and dynamic programming. With this foundation, you will be better prepared to write clean, efficient, and maintainable code.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to solve complex financial problems. The topics covered in this course, such as algorithms, data structures, and dynamic programming, are commonly utilized by Quantitative Analysts in developing and implementing these models.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This course can provide a solid foundation for aspiring Data Engineers. The course covers essential concepts in data processing, including algorithms and data structures, which are crucial for efficient data handling and transformation.

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Game Developer

Game Developers design and develop video games. This course can provide a helpful introduction to the field of game development. The course covers programming algorithms and data structures, which are essential for developing efficient and engaging games.

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Algorithm Engineer

Algorithm Engineers design and analyze algorithms for solving various computational problems. This course can provide a solid foundation for aspiring Algorithm Engineers. The course covers core concepts such as algorithms, data structures, and dynamic programming, which are essential for designing and implementing efficient algorithms.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. The concepts covered in this course, such as algorithms, data structures, and dynamic programming, are applicable to developing and implementing security measures to protect systems and data from cyber threats.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. This course may provide a helpful foundation for aspiring Actuaries. The course covers topics such as algorithms, data structures, and dynamic programming, which are useful for developing and analyzing actuarial models.

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Financial Analyst

Financial Analysts use financial data and models to make investment recommendations. This course may provide a helpful introduction to the field of finance. The course covers topics such as algorithms, data structures, and dynamic programming, which are used in developing and analyzing financial models.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve complex problems in various industries. The topics covered in this course, such as algorithms, data structures, and dynamic programming, provide a strong foundation for developing and implementing optimization models used in operations research.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex problems. The course may provide a helpful introduction to the field of machine learning. The course covers topics such as algorithms, data structures, and dynamic programming, which are used in developing and implementing machine learning algorithms.

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Statistician

Statisticians collect, analyze, and interpret data to solve problems in various fields. The course may provide a helpful introduction to the field of statistics. The course covers topics such as algorithms, data structures, and dynamic programming, which are used in developing and analyzing statistical models.

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Business Analyst

Business Analysts use data and analysis to identify and solve business problems. The course may provide a helpful introduction to the field of business analysis. The course covers topics such as algorithms, data structures, and dynamic programming, which are used in developing and analyzing business models.

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