Data Structures and Algorithm Analysis (4/2)

Learning Outcomes :

1.  Explain the concept data structures and its usage in Computer Science
2. Analyze algorithm complexity: Students will be able to assess the time and space complexity of algorithms
3. Apply data structures and algorithm in Java

Topics:

1. Introduction to Java Programming
2. Introduction to Object Oriented Programming
3. Practicum Module 1 – Array and ArrayList
4. Introduction to Data Structure and Algorithms
5. Arrays and Their Operations in Data Structures
6. Linked List and Its Operations In Data Structures
7. Practicum Module 2 – Linked List
8. Linked List and Its Operations In Advanced Data Structures
9. Stack and Queue
10. Practicum Module 3 – Stack & Queue
11. Algorithmic Analysis, Mathematical Induction, and Recursive Functions
12. Tree, Binary Tree, and Binary Search Tree
13. Practicum Module 4 – Tree
14. Hash & Graphs
15. Practicum Module 5 – Hash Table