C++: Algorithms
Master C++ algorithms with hands-on learning, focusing on complexity analysis, design techniques, and efficient searching/sorting methods.
Master C++ algorithms with hands-on learning, focusing on complexity analysis, design techniques, and efficient searching/sorting methods.
This course provides a comprehensive introduction to algorithms in C++, focusing on practical implementation and theoretical understanding. Designed for learners with prior C++ knowledge, it covers essential topics including complexity analysis, algorithm design techniques, and common searching and sorting algorithms. The hands-on, video-free approach allows students to learn by doing, with runnable code examples and immediate feedback through varied assessments. Students will gain valuable skills in evaluating algorithm efficiency through time and space complexity analysis, implementing various algorithm design approaches including recursion, greedy algorithms, and dynamic programming, and applying specialized searching and sorting techniques to real-world problems. Perfect for programmers looking to strengthen their algorithmic thinking and C++ implementation skills.
Instructors:
English
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What you'll learn
Evaluate algorithm efficiency using time and space complexity analysis
Implement recursive algorithms and understand their analysis
Apply divide and conquer techniques to solve complex problems
Design solutions using greedy algorithms and dynamic programming
Implement and analyze various sorting algorithms (simple and advanced)
Develop efficient searching algorithms for different data structures
Skills you'll gain
This course includes:
12 Hours PreRecorded video
16 app items
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This course provides a comprehensive introduction to algorithms using C++. The curriculum is divided into three modules that cover fundamental algorithm concepts, design techniques, and practical applications. Students begin by learning about algorithm complexity analysis, understanding how to evaluate algorithms based on time and space requirements. The second module explores various algorithm design techniques including recursion, divide and conquer, greedy algorithms, and dynamic programming, with practical examples in C++. The final module focuses on searching and sorting algorithms, from basic implementations to advanced techniques, culminating in applied problem-solving like the Wordle Solver project. The hands-on approach allows students to write and run code directly in the browser without installation, making learning accessible and practical.
Introduction to Algorithms and Complexity Analysis
Module 1 · 4 Hours to complete
Algorithm Design Techniques
Module 2 · 4 Hours to complete
Searching and Sorting
Module 3 · 4 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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