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C/C++ Data Structures

Course

This C++ Data Structures course provides a practical introduction to the design, implementation, and application of data structures. It begins with the fundamentals and primitive structures like arrays and linked lists, then explores composite structures such as stacks, queues, circular buffers, trees, and hash tables. Learners also examine the role of data structures in embedded systems and conclude with a hands-on project to apply their skills in solving real-world problems. By the end of the course, participants will be equipped to optimize data handling and design efficient algorithms in C++.

This C++ Data Structures course provides a practical introduction to the design, implementation, and application of data structures. It begins with the fundamentals and primitive structures like arrays and linked lists, then explores composite structures such as stacks, queues, circular buffers, trees, and hash tables. Learners also examine the role of data structures in embedded systems and conclude with a hands-on project to apply their skills in solving real-world problems. By the end of the course, participants will be equipped to optimize data handling and design efficient algorithms in C++.

  • Intermediate

  • 3 weeks

  • Last Updated December 16, 2024

Skills you'll learn:

C++ data structures

Prerequisites:

C++ classesBasic C++

Intermediate

3 weeks

Last Updated December 16, 2024

Skills you'll learn:

C++ data structures

Prerequisites:

C++ classes • Basic C++

Course Lessons

Lesson 1

Fundamentals of Data Structures and Primitive Data Structures

Explore data structures essentials and primitive data structures like arrays. Learn efficiency concepts, Big-O notation, and implement structures dynamically in C++.

Lesson 2

Composite Data Structures: Stacks, Queues, and Circular Buffers

Explore stacks, queues, and circular buffers. Learn their structures, principles like LIFO & FIFO, operations, and real-world applications for managing data efficiently.

Lesson 3

Composite Data Structures: Trees and Hash Tables

Explore data structures: binary trees support hierarchical data and fast searching; hash tables provide efficient key-value access. Master properties, operations, and traversal methods.

Lesson 4

Data Structures and Embedded Systems

Explore data structures in embedded systems, covering memory constraints, run-time options, optimization for real-time processing, and enhancing system efficiency.

Lesson 5 • Project

C++ Data Structures Project

In this project, you will develop a system to process and organize out-of-order audio and video data blocks in a memory-constrained environment.

Taught By The Best

Photo of Ozgur Cagdas

Ozgur Cagdas

Embedded Systems Consultant

Ozgur has a 20+ years experience in the embedded systems field with exposure to products in different domains from home entertainment to industrial control, healthcare and automotive. As well as developing professional systems, he is also passionate about learning and explaining complex concepts in simple ways.

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

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  • Gain valuable insights and improve your skills

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Your subscription also includes:

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About C/C++ Data Structures

This C++ Data Structures course provides a practical introduction to the design, implementation, and application of data structures. It begins with the fundamentals and primitive structures like arrays and linked lists, then explores composite structures such as stacks, queues, circular buffers, trees, and hash tables. Learners also examine the role of data structures in embedded systems and conclude with a hands-on project to apply their skills in solving real-world problems. By the end of the course, participants will be equipped to optimize data handling and design efficient algorithms in C++.

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