MCS-063 IGNOU Handwritten Assignment 2026-27

Course Scope and Academic Focus in MCS-063: Data Structures Using Python

MCS-063: Data Structures Using Python is a core component of IGNOU’s M.Sc. (Data Science and Analytics) curriculum, designed to equip students with foundational and advanced knowledge of data structures implemented in Python. This course bridges theoretical computer science principles with practical programming, emphasizing algorithmic efficiency, memory management, and real-world applications. Through structured learning, students explore how data structures underpin computational problem-solving, preparing them for roles in software development, analytics, and systems design. The syllabus is meticulously aligned with the School of Computer and Information Sciences (SOCIS) standards, ensuring rigorous academic grounding in both classical and modern data structures. Assignments are crafted to reinforce hands-on coding skills, critical thinking, and theoretical understanding—key competencies for success in the discipline.

Key Syllabus Units and Topics

• Block-1 Introduction to Python: Covers Python’s syntax, data types, control structures, and basic algorithms, establishing a robust programming foundation for subsequent data structure implementations.
• Block-2 Arrays, Stacks, Queues, Linked Lists and Trees: Explores linear and non-linear data structures, including dynamic arrays, stack/queue operations, linked list traversals, and binary tree traversal techniques (e.g., in-order, pre-order).
• Block-3 Maps, Hash Tables, Skip Lists, Search Trees and Sorting Algorithms: Delves into associative data structures (hash tables, dictionaries), skip list implementations, advanced search trees (AVL, B-trees), and sorting algorithms (e.g., quicksort, mergesort) with time complexity analysis.
• Block-4 Text Processing, Graph Algorithms, Memory Management and B-Trees: Addresses text manipulation (regex, string algorithms), graph representations (adjacency lists/matrices), traversal algorithms (DFS/BFS), and memory-efficient data structures like B-trees for database applications.

Frequently Asked Questions

Q: What is the passing mark for the internal assessment (assignments) in MCS-063?
A: The internal assessment for MCS-063 carries 30% weightage, with a minimum passing mark of 40% in the assignment component to qualify for the final examination.

Q: How are marks distributed across theoretical and practical components in the MCS-063 term-end exam?
A: The term-end exam for MCS-063 allocates 70% weightage to theoretical questions (covering concepts, proofs, and algorithms) and 30% to programming-based practical questions (e.g., coding implementation of data structures).