Mastering critical SKILLS in Algorithms using C++: Part 1

Gain practical algorithms skills with this hands-on course! Unlike many courses focused solely on theory, this program emphasizes real-world application and problem-solving. You'll delve into a comprehensive selection of algorithmic topics, mastering their inner workings and understanding time and memory complexity analysis.

Here's what you'll learn:

• Online Judges: Learn how to effectively utilize online judge platforms for practice and testing.
• Recursion: A thorough recursion review, covering the basics and advanced applications.
• Complexity Analysis (Part 1): Understand and analyze algorithmic efficiency.
• Sorting Algorithms: Master sorting techniques including Insertion Sort, Selection Sort, and Counting Sort.
• Binary Search: Learn both basic and generalized forms of binary search.
• Graph Algorithms: Explore graph representation, Depth-First Search (DFS), Breadth-First Search (BFS), and Topological Sort.

This course provides extensive practice – far beyond what you'll find in many other resources – to truly master the concepts.

Course Philosophy:

The course is structured in two parts. The initial phase concentrates on topics frequently encountered in technical interviews, prioritizing practical application and problem-solving. The subsequent section expands to cover other crucial areas within the algorithms field. This approach allows you to build a strong foundation in problem-solving skills before tackling more advanced concepts.

Teaching Style:

We prioritize a unique, practical approach. Instead of lengthy theoretical explanations followed by coding, we parallelize concepts with code as much as possible. We focus on concrete examples and clear, simple visualizations to ensure deep understanding.

By the end of this course, you will:

• Have a solid understanding of algorithms in C++.
• Master essential analytical and problem-solving skills.
• Write clean, efficient code for algorithms.
• Be well-prepared to start competitive programming.
• Make a strong step towards interview preparation.

Prerequisites:

• Strong programming skills in any language.
• Experience solving basic problem-solving problems related to fundamental programming concepts.
• Good understanding of basic recursion (e.g., Fibonacci sequence).
• Familiarity with the STL, especially Vectors, map/set, and unordered_map/unordered_set.
• Highly Preferred: Experience with programming projects and a foundational understanding of data structures.

Don't miss this unique opportunity to elevate your algorithms knowledge and coding abilities!

Acknowledgement: "I’d like to extend my gratitude towards Robert Bogan for his help with proofreading the slides for this course."