C And C++

Course Description:

This course is designed to provide a thorough introduction to the programming languages C and C++, covering both basic and advanced concepts. Students will learn foundational programming skills, data structures, algorithms, and object-oriented programming, all while using C and C++. By the end of the course, students will be equipped with the skills to design and implement efficient software systems and tackle real-world programming challenges.

Course Objectives:

By the end of this course, students will be able to:

Understand the syntax, structure, and functionality of C and C++.
Write, compile, and debug C and C++ programs.
Apply fundamental programming concepts such as loops, conditionals, functions, and arrays.
Implement advanced concepts like pointers, memory management, and file handling in C and C++.
Develop object-oriented programs using C++ features like classes, inheritance, polymorphism, and encapsulation.
Optimize code performance and understand the role of C and C++ in system-level programming.

Course Modules:

Module 1: Introduction to C Programming

History and evolution of C
Structure of a C program
Basic syntax: Variables, data types, and operators
Control structures: if, switch, loops
Functions and recursion
Arrays and strings

Module 2: Advanced C Concepts

Pointers and memory management
Dynamic memory allocation (malloc, free)
Structures and unions
File handling in C
Error handling and debugging techniques
Preprocessors and macros

Module 3: Introduction to C++ Programming

Differences between C and C++
Object-oriented programming (OOP) fundamentals
Classes and objects
Constructors and destructors
Member functions and data encapsulation

Module 4: Advanced C++ Programming

Inheritance, polymorphism, and abstraction
Function overloading and operator overloading
Templates and generic programming
Exception handling in C++
Standard Template Library (STL): vectors, lists, maps, etc.

Module 5: Working with Data Structures and Algorithms

Arrays, linked lists, stacks, and queues
Trees and graphs (binary trees, AVL trees, etc.)
Sorting and searching algorithms (quick sort, merge sort, binary search)
Hashing and collision resolution
Time and space complexity analysis

Module 6: Advanced Topics in C and C++

Multithreading and concurrency in C/C++
Network programming using sockets
File I/O and databases
Integration with external libraries
Best practices for performance optimization

Assessment & Evaluation:

Assignments: Weekly coding exercises (30%)
Midterm Exam: Written and practical programming exam (20%)
Project: A final project involving building a software system (30%)
Final Exam: Comprehensive test covering all course content (20%)