ITDO5014 Advance Data Structure and Analysis DIV-A AY 2025-26

Need for Learning the Subject

1.     It enables students to solve computational problems using optimal methods.

2.     It is critical for developing high-performance software that operates efficiently on large-scale data.

3.     It serves as foundation for technical interviews and real-world software development.

4.     It prepares the students for domains like AI, ML, cybersecurity, OS, DBMS, and networking.

5.     It enhances the ability to select appropriate data structures and algorithms for a given problem.

After learning the subject, the students will be able to relate to the real life applications of the data structures and algorithms

Graphs

: Google Maps, social media (Facebook friend suggestions), electrical grid layouts

 

AVL/Red-Black Trees

: Databases for indexing

 

Hashing

: Password storage, symbol tables, caching systems

 

Priority Queues (Heaps)

: CPU scheduling, network routing, event simulation

 

Dynamic Programming: Bioinformatics (gene alignment), resource allocation, AI pathfinding

  

 

Greedy Algorithms:

Huffman coding, Kruskal’s MST, job scheduling

 

String Matching:

Plagiarism detection, search engines, spam filters

 

Backtracking:

Solving puzzles (Sudoku, N-Queens), constraint satisfaction problems