Preparing for coding interview?

— Understanding Online Judge Systems: Start with a deep dive into online judge systems, an important tool for improving your coding skills and solving complex problems.

— Tackling Implementation Problems: Get hands-on with practical exercises, focusing on the implementation of concepts learned.

— Learning about Complexity Analysis: Understand the importance of complexity analysis to create efficient algorithms and improve your coding practices.

— Managing Dynamic Memory: Explore the process of dynamically managing memory, a critical aspect of coding that ensures your programs run effectively and efficiently.

— Fast Built-In Functions and Recursion Techniques: Learn how to leverage fast built-in functions and recursion techniques to speed up your code and solve more complex problems.

— Utilizing Bitmasks: Understand the power of bit manipulation and how it can lead to more efficient code.

— Standard Template Libraries (STLs): Discover the value of pre-written code by delving into STLs. Learn how to effectively use these libraries to streamline your coding process.

— Searching Techniques: Dive into various search techniques, an essential skill for any programmer.

— Extensive Problem-Solving: Apply what you've learned through comprehensive problem-solving exercises, designed to enhance your coding proficiency and cognitive agility.

— Honing Coding Proficiency and Thinking Skills: Our initial focus will be on enhancing your coding speed and accuracy, along with developing your computational thinking skills.

— Understanding Complex Algorithms: We'll delve deep into a comprehensive understanding of intricate algorithms, which forms the foundation of complex problem-solving in programming.

— Graphs and String Matching: Detailed study of Graphs, their applications, and various String Matching techniques, such as Trie and KMP, will be undertaken.

— Divide and Conquer Algorithms: This powerful algorithm design technique will be covered, which helps in breaking down complex problems into simpler ones.

— Greedy and Backtracking Algorithms: Gain an understanding of these types of algorithms, which are useful for optimization problems.

— Understanding Primes, Factors, GCD & LCM: A deeper dive into number theory and these fundamental concepts in mathematics.

— Various Sorting Algorithms: We'll cover different sorting algorithms, including Linear, Merge, and Quick Sort, for efficient data organization.

— Graph Data Structure and Traversal Algorithms: The course will explore the Graph data structure, traversal algorithms such as BFS and DFS, and their applications.

— Shortest Path Algorithms: Learn algorithms to find the shortest path in a graph, a common and crucial problem in many applications.

— Elevating Problem-Solving Skills: The overall aim of this level is to significantly boost your problem-solving skills, empowering you to tackle complex coding challenges.

— Advanced-level introduction: Deepen your understanding of complex concepts like Dynamic Programming, advanced Graphs, and Data Structures. 

— Coding proficiency: Focus on improving your coding speed and accuracy. 

— Combinatorics: Discover the mathematical study of counting, arrangement, and combination. 

— Probability Theory: Explore the fundamentals and applications of probability. 

— Modulo Arithmetic: Learn the principles of the arithmetic of congruences. 

— Fermat Little Theorem and Euler’s Totient (Phi): Understand these foundational concepts in number theory. 

— Union-Find Disjoint Sets: Grasp the principles of this data structure that tracks a partition of a set. 

— Minimum Spanning Tree (Kruskal): Delve into this algorithm for making connected, undirected graphs. 

— Eulerian Graph: Study the conditions and properties of graphs containing an Eulerian cycle. 

— Binary Search Tree: Learn about this tree-based data structure and its applications. 

— Heap & HashTable: Understand these data structures that organize data for efficient operations. 

— Segment Tree: Discover this tree data structure used for storing information about segments or intervals.