C++: Non-Linear Data Structures
Master advanced C++ data structures like heaps, hash tables, graphs, and sets with hands-on implementation for efficient problem-solving.
Master advanced C++ data structures like heaps, hash tables, graphs, and sets with hands-on implementation for efficient problem-solving.
This course explores non-linear data structures in C++, designed for programmers familiar with C++ basics and object-oriented programming. Through a hands-on, video-free approach, students learn to implement and utilize complex data structures including heaps, hash tables, graphs, and sets. The course emphasizes practical application, with runnable code examples and immediate feedback through varied assessments. Students progressively build skills from understanding fundamental concepts to implementing complete data structures from scratch. By course completion, learners will be able to select appropriate non-linear data structures for different problem scenarios, implement them efficiently, and apply them to real-world programming challenges. The knowledge gained can be transferred to other programming languages, providing a solid foundation in core data structure concepts.
Instructors:
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What you'll learn
Implement and utilize heap data structures for efficient priority queue operations
Apply heap sort algorithms to optimize data sorting processes
Design hash tables with effective collision resolution strategies
Build practical applications using hash maps, such as a restaurant reservation system
Implement various graph representations including adjacency lists and matrices
Apply graph traversal algorithms for data exploration
Skills you'll gain
This course includes:
16 Hours PreRecorded video
20 app items
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This course provides a comprehensive introduction to non-linear data structures in C++. The curriculum is structured into four modules, each focusing on a specific type of non-linear data structure. The first module covers heaps, including their implementation, usage in priority queues, and application in sorting algorithms. The second module explores hash tables and maps, teaching students how to implement hashing functions, handle collisions, and optimize hash table performance, culminating in a practical restaurant reservation project. The third module, the most extensive, delves into graphs, covering representations, traversal algorithms, merging operations, cycle detection, shortest path algorithms, and spanning trees. The final module introduces sets, including their abstract data type definition and implementation strategies. Throughout the course, students engage in hands-on coding exercises that reinforce theoretical concepts through practical application.
Heaps
Module 1 · 3 Hours to complete
Hash Tables Maps
Module 2 · 4 Hours to complete
Graphs
Module 3 · 6 Hours to complete
Sets
Module 4 · 2 Hours to complete
Fee Structure
Instructor
3 Courses
Experienced Educator and Director of Content at Codio
Patrick Ester, the Director of Content at Codio, brings a wealth of teaching experience to his role in educational technology. With a decade of classroom experience, Ester specialized in integrating computer-based activities into the curriculum and teaching coding to students. His expertise extends to leading workshops on physical computing, demonstrating his commitment to hands-on, practical technology education. At Codio, Ester leverages his background to develop comprehensive Python programming courses, including "Python Programming: Basic Skills," "Python Programming: Intermediate Concepts," and "Python Programming: Object-Oriented Design." His transition from classroom teaching to directing content for an educational technology platform showcases his ability to apply practical teaching experience to the development of online learning resources, particularly in the field of computer science and programming education.
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