COURSE OVERVIEW

This course provides an introduction to the fundamentals of data structures and algorithms, including their design, analysis, and implementation. The course covers important topics such as arrays, linked lists, trees, graphs, sorting and searching algorithms, and complexity analysis.

DURATION:

5 WEEKS

COURSE OVERVIEW

This course provides an introduction to the fundamentals of data structures and algorithms, including their design, analysis, and implementation. The course covers important topics such as arrays, linked lists, trees, graphs, sorting and searching algorithms, and complexity analysis.

DURATION: 5WEEKS

WHAT YOU'LL LEARN

  • Introduction to Data Structures and Algorithms
  • Arrays and Linked Lists
  • Stacks and Queues
  • Trees and Binary Trees
  • Graphs
  • Sorting and Searching Algorithms
  • Hash table data structure
  • Advanced Topics
  • Final Project
  • Assignments and quizzes (40%)
  • Midterm exam (30%)
  • Final project (30%)

BENEFITS

  • Improved Problem Solving Skills: By learning Data Structures and Algorithms, individuals can develop analytical thinking and problem-solving skills. They learn how to analyze a problem, break it down into smaller parts, and then apply the appropriate data structure and algorithm to solve it.
  • Better Efficiency: With a solid understanding of Data Structures and Algorithms, developers can write more efficient and optimized code. This helps in reducing the time complexity and space complexity of the code, which ultimately leads to faster and more efficient software.
  • Improved Performance: Good knowledge of Data Structures and Algorithms can lead to improved performance of software applications. By using the most appropriate data structure and algorithm for a particular task, developers can ensure that their code performs better, even when working with large datasets.
  • Career Advancement: Data Structures and Algorithms is a fundamental concept in computer science, and knowledge of it is highly valued by employers. Professionals who have a good understanding of Data Structures and Algorithms are in high demand in the industry, and this knowledge can lead to career.

WHAT YOU'LL LEARN

  • Introduction to Data Structures and Algorithms
  • Arrays and Linked Lists
  • Stacks and Queues
  • Trees and Binary Trees
  • Graphs
  • Sorting and Searching Algorithms
  • Hash table data structure
  • Advanced Topics
  • Final Project
  • Assignments and quizzes (40%)
  • Midterm exam (30%)
  • Final project (30%)

BENEFITS

  • Improved Problem Solving Skills: By learning Data Structures and Algorithms, individuals can develop analytical thinking and problem-solving skills. They learn how to analyze a problem, break it down into smaller parts, and then apply the appropriate data structure and algorithm to solve it.
  • Better Efficiency: With a solid understanding of Data Structures and Algorithms, developers can write more efficient and optimized code. This helps in reducing the time complexity and space complexity of the code, which ultimately leads to faster and more efficient software.
  • Improved Performance: Good knowledge of Data Structures and Algorithms can lead to improved performance of software applications. By using the most appropriate data structure and algorithm for a particular task, developers can ensure that their code performs better, even when working with large datasets.
  • Career Advancement: Data Structures and Algorithms is a fundamental concept in computer science, and knowledge of it is highly valued by employers. Professionals who have a good understanding of Data Structures and Algorithms are in high demand in the industry, and this knowledge can lead to career.