Object Oriented Programming and Data Structures in C++ скачать в хорошем качестве

Object Oriented Programming and Data Structures in C++

Welcome to an in-depth journey into Object-Oriented Data Structures in C++, a course originally offered by the University of Illinois Urbana-Champaign (UIUC) and taught by Wade Fagen-Ulmschneider, one of the most engaging and well-respected educators in computer science today. This course is part of the Accelerated CS Fundamentals Specialization and is designed to build a rock-solid foundation in both C++ programming and essential data structures. Whether you’re an aspiring software engineer, a CS student preparing for technical interviews, or a self-taught programmer looking to level up, this course gives you everything you need to start thinking and coding like a computer scientist. 💡 What You Will Learn ✅ Set up a modern C++ development environment ✅ Write, debug, and optimize C++ code using object-oriented principles ✅ Understand and implement key data structures such as: Arrays and Vectors Linked Lists Stacks and Queues Trees (Binary Trees, BSTs) Hash Tables Graphs and Heaps (in later parts of the specialization) ✅ Learn best practices for class design, encapsulation, inheritance, and polymorphism ✅ Gain hands-on experience with memory management in C++ (constructors, destructors, pointers, and more) ✅ Understand real-world applications of data structures and how to apply them in problem-solving 🎓 Instructor Spotlight: Wade Fagen-Ulmschneider 👨‍🏫 Wade Fagen-Ulmschneider is a Teaching Assistant Professor at the University of Illinois Urbana-Champaign, known for his enthusiastic teaching style and deep commitment to making computer science accessible to all. With years of teaching experience and a knack for visual explanations, Wade brings clarity to even the most complex programming concepts. He has taught thousands of students in-person and online and continues to inspire learners worldwide through his contributions to MOOCs, open-source content, and interactive data visualizations. 🧰 Course Tools and Technologies Programming Language: C++ (Modern C++ syntax and style) IDE/Environment: VSCode, CLion, or any C++ compiler setup (Linux, Windows, macOS) Version Control: Git & GitHub (for projects and collaboration) Debugging Tools: GDB or built-in IDE debuggers Assessment Types: Programming assignments, quizzes, concept checks, and projects 🧭 Who Should Take This Course? Computer Science students enrolled in undergraduate or early graduate-level programs Engineering students needing a solid programming foundation Self-taught coders aiming to strengthen their C++ and data structure skills Developers preparing for coding interviews and competitive programming Professionals transitioning into a software development role Prerequisites: Basic understanding of programming concepts (variables, loops, functions) is helpful but not strictly required. This course does not require prior knowledge of C++. 🏆 Why Choose This Course? 🔹 Offered by a Top-Ranked CS University (UIUC) 🔹 Taught by a renowned and charismatic instructor 🔹 High-quality explanations and practical implementation-focused 🔹 Based on a proven university curriculum that has educated thousands 🔹 Excellent preparation for advanced CS topics and job interviews 🌐 Continue Your Learning Journey This is the first course in the Accelerated Computer Science Fundamentals Specialization. If you enjoy this content, make sure to explore the next courses in the specialization: Data Structures in C++: Linked Lists, Trees, Hash Tables Algorithms in C++: Sorting, Searching, and Graphs Technical Interview Preparation with C++ 🔗 [Link to full specialization playlist or Coursera page if applicable] 📌 Subscribe for More Don’t forget to Like, Subscribe, and Hit the Bell Icon to get notified when we release more top-tier programming and computer science content.