Back to Course

Data Structures and Algorithms with Java

0% Complete
0/0 Steps
  1. Introduction to Data Structures and Algorithms
    Overview of Data Structures and Algorithms with Java
  2. Importance of Data Structures and Algorithms in Programming with Java
  3. How to Choose the Right Data Structure or Algorithm for a given Problem with Java
  4. Basic Java Concepts Review
    Variables and Data Types in Java
  5. Control Flow Statements in Java
  6. Classes and Objects in Java
  7. Methods and Constructors in Java
  8. Basic Input and Output in Java
  9. Data Structures
    Arrays in Java
  10. Stacks and Queues in Java
  11. Linked Lists in Java
  12. Hash Tables in Java
  13. Trees in Java
  14. Types of Trees
    Binary Search Trees in Java
  15. Cartesian Trees in Java
  16. B-Trees in Java
  17. Red-Black Trees in Java
  18. Splay Trees in Java
  19. AVL Trees in Java
  20. KD Trees in Java
  21. Min Heap in Java
  22. Max Heap in Java
  23. Trie Trees in Java
  24. Suffix Trees in Java
  25. Sorting Algorithms
    Quicksort in Java
  26. Mergesort in Java
  27. Timsort in Java
  28. Heapsort in Java
  29. Bubble Sort in Java
  30. Insertion Sort in Java
  31. Selection Sort in Java
  32. Tree Sort in Java
  33. Shell Sort in Java
  34. Bucket Sort in Java
  35. Radix Sort in Java
  36. Counting Sort in Java
  37. Cubesort in Java
  38. Searching Algorithms
    Linear Search in Java
  39. Binary Search in Java
  40. Graph Algorithms
    Breadth First Search (BFS) in Java
  41. Depth First Search (DFS) in Java
  42. Dijkstra's Algorithm in Java
  43. Algorithm Design Techniques
    Greedy Algorithms in Java
  44. Dynamic Programming in Java
  45. Divide and Conquer in Java
  46. Backtracking in Java
  47. Randomized Algorithms in Java
  48. Conclusion
    Recap of DSA in Java

Participants 681

Show more
Home Data Structures and Algorithms with Java Overview of Data Structures and Algorithms with Java
Lesson 1 of 48
In Progress

Overview of Data Structures and Algorithms with Java

Yasin Cakal

Data structures and algorithms are the building blocks of computer science. They are used to organize and store data, as well as to solve complex problems. In this course, “Data Structures and Algorithms with Java”, we will be exploring the different types of data structures, their uses, and the algorithms used to manipulate them.

What are Data Structures?

Data structures are the foundation of computer science. They are used to organize and store data, making it easier to access, manipulate, and process. Data structures can be divided into two main categories: linear and non-linear.

Linear data structures are those that are organized in a linear fashion, such as queues, stacks, and lists. These structures offer quick access to data, as well as efficient insertion and deletion.

Non-linear data structures are those that are organized in a more complex fashion, such as trees and graphs. These structures offer more powerful search capabilities, and are often used for complex data manipulation tasks.

What are Algorithms?

Algorithms are the instructions used to manipulate data structures. They are used to search for data, sort data, and update data. Algorithms can be divided into two main categories: sorting and searching.

Sorting algorithms are used to sort data in a particular order. Examples of sorting algorithms include bubble sort, insertion sort, and selection sort.

Searching algorithms are used to search for a particular piece of data in a data structure. Examples of searching algorithms include linear search and binary search.

Data Structures & Algorithms with Java

In this course, “Data Structures and Algorithms with Java”, we will be exploring the different types of data structures, their uses, and the algorithms used to manipulate them. We will be implementing the data structures and algorithms in Java, in order to gain a better understanding of how they work.

We will begin by exploring linear data structures, such as queues, stacks, and lists, and the algorithms used to manipulate them. We will then move on to non-linear data structures, such as trees and graphs, and the algorithms used to manipulate them. Finally, we will explore sorting and searching algorithms, and how they can be used to manipulate data.

Conclusion

Data structures and algorithms are the foundation of computer science. In this course, “Data Structures and Algorithms with Java”, we will be exploring the different types of data structures and algorithms, and we will be implementing them in Java. This will give us a better understanding of how data structures and algorithms work and how they can be used to solve complex problems.

Exercises

What is the purpose of data structures?

The purpose of data structures is to organize and store data, making it easier to access, manipulate, and process.

Name two types of data structures.

The two types of data structures are linear and non-linear.

What is the purpose of algorithms?

The purpose of algorithms is to manipulate data structures. They are used to search for data, sort data, and update data.

Name two types of algorithms.

The two types of algorithms are sorting and searching algorithms.

What will we be exploring in this course, “Data Structures and Algorithms with Java”?

In this course, we will be exploring the different types of data structures, their uses, and the algorithms used to manipulate them. We will be implementing the data structures and algorithms in Java, in order to gain a better understanding of how they work.