This official 2024 final examination paper for "Data Structures-T" (Course Code: CSDS-208-T) is a vital academic resource designed for BS Computer Science students in their 3rd Semester at the National University of Modern Languages (NUML). Curated by instructor Zainab Malik, this comprehensive paper evaluates students' theoretical understanding and algorithmic implementation of fundamental data structures. The exam systematically covers critical domains such as linear data structures—including dynamic linked lists, stacks, and queues—alongside non-linear structures like binary search trees, AVL trees, and graphs. Students will encounter analytical questions assessing their ability to perform complexity analysis using Big-O notation, execute tree traversals, and implement efficient sorting and searching algorithms. By practicing with this past paper, students can gauge their understanding of memory allocation, pointer manipulation, and recursive problem-solving techniques. This resource serves as an excellent self-assessment tool, enabling learners to identify knowledge gaps, familiarize themselves with NUML's exam pattern, optimize their time-management skills, and master the core algorithmic paradigms required to excel in their final-term evaluations and subsequent software development challenges.
Zainab Malik
BS Computer Science
This academic syllabus abstract outlines the core domains evaluated in the BSCS 3rd Semester "Data Structures-T" final exam (CSDS-208-T) at NUML. The syllabus covers fundamental theoretical and practical methodologies, emphasizing linear structures like singly/doubly linked lists, stacks, and queues, alongside non-linear paradigms including binary trees, heaps, hash tables, and graphs. Students are assessed on asymptotic analysis (Big-O, Omega, Theta), tree rotation techniques, graph traversal methodologies (BFS and DFS), and diverse sorting and searching algorithms. This structured curriculum emphasizes algorithmic efficiency, data organization, and logical troubleshooting, aligning academic assessments with standard software engineering competencies.
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