C++ Programming - Advanced

Master advanced C++ features for cleaner, safer, and more reusable software.

Instructor: EDA Academy
CourseAug 05, 2026All LevelEnglish

Learn advanced C++ features used in real programming work, including polymorphism, const correctness, templates, exceptions, file streams, debugging, containers, almost-containers, and algorithms. Build stronger skills for writing cleaner, safer, more reusable, and more maintainable C++ programs.

5.0
2students

This offering includes

  • 10 modules
  • 52 lectures
  • Access on mobile and computer
  • Certificate of completion
  • 15.4 hours on-demand video
  • 794.2 KB downloadable content
  • 120 Quiz questions

What you'll learn

Create common interfaces with pure virtual functions and abstract base classes
Declare const objects and write const member functions for safer C++ classes
Define function and class templates for reusable generic C++ code
Handle exceptional conditions in C++ using throw, catch, and standard exceptions
Use C++ input and output streams to manage text and binary files
Identify bugs and apply structured debugging methods to C++ program failures
Store and manipulate data using C++ sequence and associative containers
Declare and manage bit sets, basic strings, and value arrays effectively
Manipulate C++ data using standard algorithms and suitable iterator requirements

Who is this course for

Digital IC design engineers who need practical C++ programming skills
Verification engineers who use C++ in hardware development workflows
Learners preparing for Digital IC design and verification roles
Engineers who want C++ knowledge for EDA-related development tasks
Programmers moving from procedural coding into hardware-oriented C++ design
C programmers who want to apply C++ in Digital IC environments
Developers involved in High-Level Synthesis or C++ to RTL workflows
Engineers who need C++ for structured design and verification code
Hardware-focused developers who need reusable and maintainable C++ code
Anyone using C++ to support Digital IC implementation or verification tasks

Requirements

Basic understanding of C++ variables, data types, operators, expressions, and control statements is recommended
Familiarity with classes, objects, constructors, destructors, and member functions will support faster learning
Understanding pointers and references is important for object access, dynamic binding, and safe memory handling
Basic command-line skills are recommended for compilation, file handling, and debugger-based program inspection
Experience with EDA tools, simulation logs, or verification scripts will help connect C++ skills to IC work

Description

Advanced C++ turns the language into a powerful tool for building flexible, reliable, and reusable software. Strong C++ programs depend on clear object design, controlled data access, safe error handling, effective file processing, disciplined debugging, and confident use of the Standard Library. These skills help developers move beyond basic syntax and write code that is easier to extend, easier to inspect, and easier to maintain. Polymorphism and virtual functions make class hierarchies more flexible. A base class can define a shared interface, while derived classes provide their own behavior. Static binding and dynamic binding show how function calls are selected, either by the compiler or by the actual object at run time. Pure virtual functions and abstract classes support clean interface design, and virtual destructors help ensure safe cleanup when working through base class pointers. Const correctness makes code safer and clearer. Const variables and const objects protect values that should not change. Const member functions allow constant objects to call safe operations without modifying their stored data. Mutable members handle limited internal updates when needed. Const_cast provides a way to remove const qualification in specific cases, while constexpr supports values and functions that can be handled at compile time. Knowing when to use const and when to use constexpr helps express intent more precisely. Templates support reusable, type-flexible code. Function templates allow one function pattern to work with different data types. Class templates make it possible to build flexible containers, wrappers, and utility types. Template argument deduction, default template arguments, template parameters, constraints, and concepts help control how generic code is created and used. These tools reduce repetition and support stronger, cleaner C++ designs. Exception handling provides a structured way to deal with unusual runtime problems. Throwing and catching exceptions separates error-handling logic from normal program flow. Standard exception classes give common error types a clear structure. Noexcept communicates whether a function is expected to throw, and nested exceptions preserve useful context when errors move through several layers of code. This leads to failure handling that is easier to read and easier to diagnose. File operations connect programs with external data. Input and output streams support reading, writing, formatting, and managing files. Stream state checks help detect failed reads, failed writes, and other I/O problems. Text and binary file operations support different storage needs. Formatting functions, format flags, and stream manipulators control how output appears, making records, reports, and stored data easier to use. Debugging turns incorrect behavior into something observable and traceable. Careful debugging habits reduce guesswork and help locate problems faster. Diagnostic messages, assertions, logging, and source-level debugging each serve a different purpose. GDB support includes compiling with debug information, running programs under debugger control, setting breakpoints, catchpoints, and watchpoints, inspecting expressions and values, navigating the call stack, and stepping through code line by line. Standard containers provide reliable ways to store and organize data. Sequence containers handle ordered collections, container adaptors provide stack, queue, and priority queue behavior, associative containers manage sorted keys and values, and unordered containers support fast lookup. Choosing between arrays, vectors, deques, lists, maps, sets, and unordered structures depends on access patterns, ordering needs, lookup speed, and update behavior. Standard almost-containers and standard algorithms extend the way data is represented and processed. Bit sets manage groups of binary values, strings support text storage and modification, and value arrays support numeric work. Standard algorithms handle common operations such as finding, searching, assigning, moving, removing, shuffling, copying, sorting, and merging. Combining containers, iterators, and algorithms leads to clearer code with fewer manual loops and more reusable logic.

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