С/C++ for competitive programming (Coursera)

С/C++ for competitive programming (Coursera)

C and C++ are the most popular programming languages in competitive programming, the most convenient and frequently used in competitions. The «C/C++ for competitive programming» online course will introduce the basic concepts of the language, such as variables, data types, conditionals, loops, functions, and others.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will Learn:

  • Using C++ in the programming competitions

Syllabus

WEEK 1
Variables
In this module of our course, we will: write our first program in C++; talk about troubles beginners usually face; learn how to run programs locally; learn different data types.

WEEK 2
Conditional operators and Cycles
In this module of our course we will: learn about logical and conditional operations; talk about loops.

WEEK 3
Arrays and Functions
In this module, we will talk about static arrays, sorting algorithms, functions and recursion.

WEEK 4
Complex data structures
In this module, we will consider more complex constructions of C++: pointers and references, structures, and also

WEEK 5
Basic low-level features and numeral systems
In this module, we will focus on low-level work with variables and the values stored in them: we will learn about faster I / O, the bit representation of various types of numbers in memory, and bit operations.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Sep 21st 2026
5-12 Weeks
An Introduction to Cryptography (Coursera) Coursera
University of Leeds

An Introduction to Cryptography (Coursera)

Cryptography is an essential part of secure but accessible communication that's critical for our everyday life and organisations use it to protect their privacy and keep their conversations and data confidential. This course provides a comprehensive introduction to the fascinating world of cryptography, covering both historical cyphers and modern-day cryptographic techniques.

Sep 21st 2026
2 Weeks
Statistical Mechanics: Algorithms and Computations (Coursera) Coursera
École normale supérieure

Statistical Mechanics: Algorithms and Computations (Coursera)

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

Sep 28th 2026
5-12 Weeks
Cloud Computing Concepts, Part 1 (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Computing Concepts, Part 1 (Coursera)

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies—all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more!

Sep 14th 2026
5-12 Weeks
Approximation Algorithms Part II (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part II (Coursera)

This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques.

Sep 28th 2026
4 Weeks
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Sep 28th 2026
5-12 Weeks
Development of Real-Time Systems (Coursera) Coursera
EIT Digital

Development of Real-Time Systems (Coursera)

This course is intended for the Master's student and computer engineer who likes practical programming and problem solving! After completing this course, you will have the knowledge to plan and set-up a real-time system both on paper and in practice. The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements.

Sep 21st 2026
5-12 Weeks
Pattern Discovery in Data Mining (Coursera) Coursera
University of Illinois at Urbana-Champaign

Pattern Discovery in Data Mining (Coursera)

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Sep 14th 2026
4 Weeks
Effective Programming in Scala (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Effective Programming in Scala (Coursera)

Scala is an expressive, versatile, and safe programming language. In this course, you will learn how to get the most out of Scala to solve common programming tasks such as modeling business domains, breaking down complex problems into simpler problems, manipulating data, or running parallel tasks. Along the journey, you will also learn the best practices for writing high-quality code that scales to large applications, how to handle errors, how to write tests, and how to leverage a productive development environment.

Sep 28th 2026
5-12 Weeks
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Sep 14th 2026
5-12 Weeks