In this module, we will cover the basics of design patterns, class diagrams, and behavioral design patterns. You’ll understand the foundational concepts that underpin many software development practices and how these patterns facilitate creating efficient and scalable solutions. This module is essential for building the groundwork before diving deeper into specific patterns.

In this module, we will delve into the strategy pattern and how it can be implemented to manage algorithms in a flexible way. Through hands-on examples like spreadsheet applications and dynamic arrays, you will learn how to refactor your code to make it more maintainable and extensible. We’ll also cover advanced variations like static strategy and function strategy for efficient runtime decision-making.

In this module, we will introduce the template method pattern and show you how to use it to define the skeleton of an algorithm in a base class while leaving the implementation of specific steps to subclasses. You’ll get hands-on experience applying the pattern to real-world examples, such as document frameworks, and learn how it improves code reusability and maintainability.

In this module, we will explore the command pattern, focusing on how it can decouple sender and receiver objects. By working through examples like text editors and logging systems, you’ll learn to implement command objects for managing user input and actions like undo/redo. This pattern is essential for creating flexible and extensible software applications.

In this module, we will cover the memento pattern and demonstrate how it allows you to store and restore an object’s state without exposing its internal structure. Through examples like banking applications and games, you’ll learn how to effectively implement memento for state management, providing a mechanism for undo/redo functionality and preserving the state of complex systems.

In this module, we will explore the chain of responsibility pattern and its ability to decouple request senders from receivers. We’ll apply the pattern to real-world examples like help systems and logging systems, where requests are passed along a chain of handlers. This approach simplifies request processing by allowing multiple handlers to take action without direct dependencies.

In this module, we will dive into the observer pattern, which enables objects to notify others about state changes. Through examples like alarm systems and sensor applications, you’ll learn how to use this pattern to create loosely coupled systems where one object’s change in state automatically triggers updates in other objects. This is crucial for building reactive systems.

In this module, we will explore the mediator pattern, which simplifies interactions between objects by introducing a mediator that controls communication. By working through examples like chat systems and dialog boxes, you will understand how this pattern reduces the complexity of object interactions and helps manage dependencies more effectively.

In this module, we will focus on the visitor pattern, which allows you to add new operations to an object structure without changing the classes themselves. Using shape hierarchies and operations like rendering, you’ll learn how to extend functionality while maintaining the flexibility of your system. We’ll also introduce concepts like acyclic visitors and C++17 std::variant.

In this module, we will cover the interpreter pattern, which helps interpret complex expressions in specific domains. Through examples like Boolean evaluators and reverse Polish notation (RPN) systems, you’ll learn how to define grammars and use interpreters to parse and evaluate expressions, making it easier to implement domain-specific languages and evaluation engines.

In this module, we will focus on the state pattern, which allows an object to alter its behavior based on its internal state. Through examples like a lamp with multiple states and transition tables, you’ll learn how to implement the state pattern for managing state changes. This pattern simplifies handling state-dependent behavior and reduces complexity in your code.

In this module, we will explore the iterator pattern, which provides a way to access the elements of a collection sequentially without exposing its underlying structure. You’ll implement iterators for various containers, including arrays and linked lists, and understand how iterators help create flexible and reusable code for collection traversal. This module also covers C++ iterators and smart pointers for advanced usage.