The Complete DSA Course: Crack Top Tech Interviews

After attending a basic lecture on lists in Data Structures and Algorithms (DSA), students will be able to:

Define what a list is and explain its significance as a linear data structure.

Distinguish between different types of lists: array-based (static) and linked lists (dynamic).

Describe and compare the characteristics, advantages, and limitations of arrays and linked lists as implementations of lists.

Perform basic operations on lists such as insertion, deletion, traversal, and searching for elements.

Identify appropriate use cases for lists in solving real-world programming problems.

Select and implement the most suitable form of list (array vs. various forms of linked lists) based on problem requirements.

After learning the theory of Stacks, students will be able to:

Understand the concept of a stack as a linear data structure that follows the Last In, First Out (LIFO) principle.

Define stack operations such as:

Push: Adding an element to the top of the stack.

Pop: Removing the top element from the stack.

Peek/Top: Accessing the top element without removing it.

isEmpty: Checking if the stack is empty.

After learning the theory of linked lists, students will be able to:

Understand the concept of dynamic data structures and explain how linked lists differ from static structures like arrays.

Define and describe the structure of a linked list node (data and pointer/link fields) and how nodes are connected.

Explain the advantages of linked lists, including dynamic memory use and efficient insertions/deletions.

Distinguish among types of linked lists: singly linked, doubly linked, and circular linked lists, and discuss their properties and appropriate uses.

Trace and visualize the organization of linked list elements (using diagrams or by following node connections).