C, C++, data-structures course

What Will You Learn?

• Here are key objectives for learning C, C++, and data structures:
• 1. Master Core Programming Concepts
• • Develop a solid understanding of fundamental programming concepts, such as loops, conditionals, functions, and recursion.
• • Become proficient with core data types, operators, and control structures in C and C++.
• 2. Gain Proficiency in C and C++ Programming
• • Write efficient programs in C, focusing on memory management, pointers, and low-level operations.
• • Transition to C++ to learn object-oriented programming (OOP) principles, enabling better modularity and reusability in code.
• • Utilize advanced C++ features, including operator overloading, templates, and the Standard Template Library (STL).
• 3. Understand and Implement Key Data Structures
• • Gain a thorough understanding of essential data structures, including arrays, linked lists, stacks, queues, trees, and graphs.
• • Learn to implement these data structures from scratch, understand their use cases, and identify where they provide the best performance.
• 4. Develop Problem-Solving and Algorithmic Thinking
• • Analyze problems to select appropriate data structures and algorithms for optimal solutions.
• • Understand complexity analysis (Big O notation) to evaluate time and space efficiency.
• • Develop efficient algorithms for sorting, searching, and basic graph traversal.
• 5. Master Memory Management
• • Use pointers effectively for dynamic memory allocation, which is crucial in both C and C++.
• • Prevent memory leaks and optimize resource management through careful handling of malloc, free, new, and delete.
• • Understand how C++ smart pointers improve memory safety in complex applications.
• 6. Build and Optimize Algorithms
• • Implement core algorithms, such as sorting (quick sort, merge sort, heap sort), searching (binary search), and traversal (DFS, BFS).
• • Learn algorithm design techniques, such as divide and conquer, greedy algorithms, and dynamic programming, to solve complex problems efficiently.
• 7. Use the Standard Template Library (STL) in C++
• • Leverage the STL for efficient data handling using containers like vectors, lists, stacks, queues, maps, and sets.
• • Improve code efficiency and readability by using STL algorithms for searching, sorting, and modifying data.
• 8. Strengthen Object-Oriented Design Skills
• • Understand core OOP principles—encapsulation, inheritance, polymorphism, and abstraction—through C++.
• • Apply OOP techniques to create modular, reusable, and scalable code for complex systems.
• 9. Understand and Implement Advanced Data Structures
• • Explore advanced data structures like heaps, hash tables, tries, and balanced trees (e.g., AVL, red-black trees).
• • Learn practical applications of advanced data structures in areas such as databases, indexing, and file systems.
• 10. Develop Real-World Applications and Projects
• • Apply knowledge of C, C++, and data structures to design, implement, and optimize real-world applications.
• • Focus on creating efficient, high-performance code for resource-constrained environments, such as embedded systems.
• 11. Improve Code Quality and Debugging Skills
• • Learn best practices for writing clean, readable, and well-documented code.
• • Build strong debugging skills using tools (such as GDB) and techniques for identifying and resolving errors.
• These objectives provide a well-rounded foundation, empowering you to write efficient code, design algorithms, and optimize solutions, which are critical skills in software development and engineering.