Data Structures and Algorithms

Data Structures and Algorithms

Description:
Learn how to organize and manipulate data efficiently using common data structures and algorithms.

Learning Objectives:

• Understand arrays, linked lists, stacks, queues

• Learn tree and graph basics

• Study sorting and searching algorithms

• Analyze algorithm complexity

Detailed Content:

4.1 Arrays and Lists

• Fixed size arrays vs dynamic lists.

• Access and update elements.

4.2 Linked Lists

• Nodes connected by pointers.

• Insertions and deletions.

4.3 Stacks and Queues

• Stack: LIFO structure, used for undo operations.

• Queue: FIFO structure, used for print jobs.

4.4 Trees and Graphs

• Binary trees, traversals (inorder, preorder, postorder).

• Graph representation: adjacency lists and matrices.

4.5 Sorting Algorithms

• Bubble sort, selection sort, insertion sort for beginners.

• Quick sort and merge sort for advanced sorting.

4.6 Searching Algorithms

• Linear search vs binary search (requires sorted data).

4.7 Complexity

• Big O notation to describe performance.