skilldevelopment.cpe@lpu.co.in

What you'll learn

This course provides a comprehensive foundation in logic building, programming, and data structures, equipping learners with essential problem-solving skills and computational thinking. Through structured learning and hands-on coding in C++ and Java, participants will develop a deep understanding of programming fundamentals and algorithmic design. The course covers key data structures, including arrays, linked lists, stacks, queues, trees, and graphs, with a focus on their practical applications and optimization techniques. Designed for both beginners and those seeking to enhance their programming proficiency, this course fosters analytical thinking and the ability to develop efficient, real-world solutions.

  • This module is designed to develop logical thinking, problem-solving skills, and programming fundamentals using C++ and Java. It begins with automata-based logic building, followed by its practical applications to enhance computational thinking. Learners will explore programming languages, flowcharts, and pseudocode to structure solutions effectively. The course then delves into basic algorithms, programming fundamentals, and key concepts like variables, data types, expressions, and operators. Finally, participants will master control structures, including loops and conditional statements, while applying problem-solving strategies to write efficient and structured code.
  • This module focuses on functions and modular programming, essential for writing efficient and organized code. It covers function declaration, definition, parameters, and return values, highlighting the advantages of modular programming for better code reusability and maintainability. Learners will practice writing and calling functions, understand the scope of variables, and explore recursion with real-world examples and applications. Additionally, the concept of function overloading will be introduced, providing insights into how multiple functions with the same name can improve flexibility and code efficiency.
  • This module introduces Object-Oriented Programming (OOP) concepts, focusing on classes and objects as the building blocks of structured programming. Learners will explore operator overloading for both binary and unary operations, enhancing code efficiency and flexibility. The module also covers inheritance, its various types and modes, enabling code reusability and hierarchy management. Additionally, run-time polymorphism is introduced, providing insights into dynamic method binding and function overriding, essential for creating scalable and maintainable applications.
  • This module provides a comprehensive introduction to Data Structures, highlighting their significance in efficient problem-solving and software development. It begins with arrays, covering their definition, declaration, initialization, and manipulation, followed by an exploration of strings and their operations. Learners will then dive into stacks and queues, understanding their fundamental concepts, implementations, and real-world applications. The course further introduces trees, focusing on binary trees and binary search trees (BST), along with traversal techniques such as pre-order, in-order, and post-order. Finally, an introduction to graphs will cover their representations and key algorithms, laying the groundwork for advanced computational problem-solving.
  • This module covers important data structures like stacks, queues, trees, and graphs and their practical uses. You will learn about stacks, their operations (push, pop, and peek), and how they help in expression evaluation and backtracking. The module also explains different types of queues (simple, circular, deque, and priority queues), their implementation, and real-world applications. Moving to trees, you will explore binary trees, binary search trees (BST), and AVL trees, along with tree traversal methods like pre-order, in-order, and post-order traversal and AVL tree rotations. Finally, the module introduces graphs, explaining directed and undirected graphs, their representations (adjacency matrix and adjacency list), and traversal techniques like BFS (Breadth-First Search) and DFS (Depth-First Search), which are essential for solving complex problems efficiently.
  • This module explores pointers and dynamic memory management, essential for efficient programming. Learners will understand the basics and applications of pointers, along with dynamic memory allocation and deallocation for optimized resource management. The module also introduces searching algorithms, covering linear, binary, and interpolation search, followed by an overview of sorting techniques such as selection sort and bubble sort for organizing data efficiently. Additionally, learners will gain insights into multithreading concepts, enabling parallel execution and improved program performance.

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Nitish Kumar
Assistant Professor

Er. Nitish Kumar is an Assistant Professor at Lovely Professional University. He is skilled in Data Structures and Algorithms (DSA) and Full Stack Web Development.


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Dr. Chirag Sharma
Associate Professor

Dr. Chirag Sharma has 13 years of Working in Lovely Professional University. He is skilled in Programming languages and Full Stack Web Development.