SY AI & DS Degree Track & Module Overview
Advanced Computational Structures, Relational Storage Systems, and System Software Architecture
The Second Year (SY) curriculum in Artificial Intelligence & Data Science transitions students from introductory programming syntax toward rigorous computational analysis, low-level data structures, and enterprise database systems.
Core Engineering Curriculum Modules
During the SY 2026–2027 academic term, coursework focuses on core computational foundations that underpin modern high-performance data processing systems:
- Advanced Data Structures & Algorithms (ADS): Non-linear data structures including AVL trees, Red-Black trees, B-Trees, Graph traversals (Dijkstra, Prim, Kruskal), and asymptotic time complexity evaluation.
- Database Management Systems (DBMS): Relational algebra, SQL query optimization, normal forms (1NF through 5NF/BCNF), ACID transactions, and concurrency control primitives.
- Operating System Kernels (OS): Process scheduling, virtual memory management, page replacement algorithms, deadlock detection, and multi-threaded synchronization.
- Discrete Mathematical Structures (DMS): Set theory, predicate calculus, graph theory, algebraic structures, and recurrence relation solvers.
Academic Repository Status & Upcoming Modules
Unit-wise question banks, lecture slide transcripts, and end-term examination papers for Second Year modules are currently undergoing peer verification by senior academic reviewers under the direction of lead curator Sarthak Pawar.
As each module completes institutional verification, direct PDF download links will be published directly to this page, maintaining the same high structural standards established in our First Year (FY) library.