C++ For C Programmers, Part B

Go to Course: https://www.coursera.org/learn/c-plus-plus-b

Introduction

### Course Review: C++ For C Programmers, Part B **Overview** If you're an experienced C programmer looking to venture into the world of C++, Coursera's course "C++ For C Programmers, Part B" is an excellent choice. This course builds upon foundational knowledge and focuses on implementing advanced programming techniques. With a robust emphasis on object-oriented programming and algorithms, it effectively bridges the gap between C and C++. --- **Course Content and Syllabus Breakdown** 1. **STL and the Game of Hex** - The journey begins with an exploration of the Standard Template Library (STL), a crucial component for writing efficient C++ code. Understanding iterators becomes essential here, as they facilitate access to various data containers, enabling the creation of powerful generic algorithms. Additionally, you'll learn about lambda expressions—an elegant new way to define function objects that enhance code readability and efficiency. 2. **Hex as a Graph and Inheritance** - This module cleverly uses the game of Hex to explain graph theory and inheritance concepts in C++. By representing Hex as an undirected graph, you'll gain insights into how these theoretical aspects apply in practical programming. Moreover, inheritance is explored through meaningful examples, such as base and derived classes, which solidify your understanding of object-oriented paradigms in C++. 3. **Hex and the Use of AI and C++ Move Semantics** - Delving deeper, you'll learn how artificial intelligence can elevate game strategies in Hex. Topics like the Min-Max algorithm and Alpha-Beta pruning are covered, showcasing how to implement efficient game-play algorithms. Additionally, the course introduces C++ 11 Move Semantics, offering vital insights into memory management and performance optimization. 4. **Monte Carlo Hex Program, Further Advanced C++ Topics, and Patterns** - The course culminates in the application of Monte Carlo methods, which are pivotal in high-level game strategies. You'll also explore advanced error handling through assertions and exceptions, along with innovative design patterns that are increasingly essential in modern object-oriented programming. This comprehensive approach ensures that you’re not only learning new techniques but also understanding how to apply them in real-world scenarios. 5. **Final Exam** - To cement your learning, the course features practice exams that allow for repeated attempts, ensuring mastery of the material. The final exam assesses your grasp of the entire course content and is a critical component of your grade. --- **Recommendation** I highly recommend "C++ For C Programmers, Part B" for anyone seeking to deepen their understanding of C++ from a C programming background. The structured approach to complex topics ensures clarity, while the practical examples keep learners engaged. By the end of the course, you’ll have a solid grasp of both theoretical concepts and practical applications, making it an invaluable asset in the toolbox of any programmer. **Pros:** - Ideal for experienced C programmers looking to transition to C++. - Comprehensive coverage of advanced topics, including STL and AI integration. - Emphasis on best practices in memory management and software design. **Cons:** - Assumes familiarity with algorithms and basic object-oriented principles, which may not suit absolute beginners. In conclusion, if you're ready to enhance your programming skills and dive into the world of C++, this course is a fantastic opportunity. You'll not only become proficient in C++ but also gain insights into effective programming practices that elevate your coding capabilities.

Syllabus

STL and the game of Hex

This module looks at the architecture of the Standard Template Library. It is especially important to understand how iterators are used to access container to produce highly efficient generic algorithms. The module also includes the important new style of function object—the lambda expression.

This module shows how Hex can be played as a game on a graph. This involves its representation as an undirected graph in C++. The module explores the inheritance logic and syntax of C++. A principal example is the base class student and a derived class grad_student.

This module explains Min-Max and the Alpha-Beta algorithm for game playing. Its programming topics include C++ 11 Move semantics and a detailed example of referential garbage collection.

This module shows how to use Monte Carlo evaluation in complex games such as Hex and Go. This had led top championship level play in both these games. The module discusses C++ assertions and exceptions for error handling and the new C++ 11 feature static asserts. Finally, the last part of the module introduces the idea of “Design Pattern”, a feature of modern OO programming.

This module contains three practice exams (which you can take as many times as you'd like) and the final exam, which is worth X% of your grade in this course.