Object-Oriented Programming & Data Structures
Master classes, inheritance, polymorphism, and classical data structures.
A deep-dive into Object-Oriented Programming (OOP) principles and classical data structures (Linked Lists, Stacks, Queues, Binary Trees, Graphs, Hash Maps). Essential for software engineering interviews and high grades.
Target Level
Intermediate
Pacing / Duration
10 to 12 Weeks
Learning Format
1-on-1 Screen Share
Instructor: Muhammad Huzaifa
BS in Computer Science · University & Professional Coach
What You Will Master
Clear milestone-driven progress. Every lesson connects theoretical understanding to hands-on practical application.
Prerequisites:
Familiarity with programming fundamentals (variables, loops, functions).
Structured Syllabus Modules
Paced to your learning speed with revision checkpoints after each milestone.
Module 1: OOP Architecture
Classes, constructors & destructors
Inheritance hierarchies & virtual functions
Interfaces, abstract classes & operator overloading
Module 2: Linear Data Structures
Custom Linked List implementations
Stack evaluation (postfix/prefix)
Queue & Deque algorithms
Module 3: Non-Linear Structures
Binary Search Trees & balancing
Graph adjacency lists & traversal (BFS/DFS)
Hash table design & Big-O trade-offs
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