Object-Oriented Data Structures in C++ (Coursera)

Object-Oriented Data Structures in C++ (Coursera)

This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.

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

Course 1 of 3 in the Accelerated Computer Science Fundamentals Specialization.

Course Syllabus

Week 1: Orientation; Writing a C++ Program
Week 2: Understanding the C++ Memory Model
Week 3: Developing C++ Classes
Week 4: Engineering C++ Software Solutions

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

Related Courses

Python Data Structures (Coursera) Coursera
University of Michigan

Python Data Structures (Coursera)

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Oct 19th 2026
5-12 Weeks
Advanced Data Structures in Java (Coursera) Coursera
University of California, San Diego

Advanced Data Structures in Java (Coursera)

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

Oct 19th 2026
5-12 Weeks
Parallel programming (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Parallel programming (Scala 2 version) (Coursera)

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library.

Nov 2nd 2026
4 Weeks
Python Scripting: Dates, Classes and Collections (Coursera) Coursera
LearnQuest

Python Scripting: Dates, Classes and Collections (Coursera)

This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Oct 26th 2026
4 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.

Nov 9th 2026
5-12 Weeks
Algorithms on Strings (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

Oct 19th 2026
4 Weeks
Introduction to Java and Object-Oriented Programming (Coursera) Coursera
University of Pennsylvania

Introduction to Java and Object-Oriented Programming (Coursera)

This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.

Oct 26th 2026
3 Weeks
Genetic Epidemiology Foundations (Coursera) Coursera
University of Colorado System

Genetic Epidemiology Foundations (Coursera)

This course is designed to provide students with the foundation necessary to conduct statistical analysis of genetic association study data. This course includes topics such as quality control in genetic studies, population-based case-control association studies, genome-wide association studies, and foundational concepts in population genetics and the history of genetics research. Examples of concepts and reference literature are provided in this 6-module course.

Oct 26th 2026
5-12 Weeks
Inheritance and Data Structures in Java (Coursera) Coursera
University of Pennsylvania

Inheritance and Data Structures in Java (Coursera)

This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps. Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.

Oct 26th 2026
4 Weeks
Data Structures and Performance (Coursera) Coursera
University of California, San Diego

Data Structures and Performance (Coursera)

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).

Oct 19th 2026
5-12 Weeks
Data Structures in C (Coursera) Coursera
University of Michigan

Data Structures in C (Coursera)

Covering dynamic memory allocation for optimizing memory utilization, Data Structures in C explores ways to handle multiple variables collectively. In this course, you’ll delve into the central concept of pointers for managing the storage and retrieval of memory. Explore and understand structures, a C-specific user-defined data type combining assorted data items.

Oct 26th 2026
4 Weeks
Advanced Algorithms and Complexity (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Advanced Algorithms and Complexity (Coursera)

You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision.

Oct 19th 2026
5-12 Weeks