Data Structures and Algorithms - Syllabus
Embark on a profound academic exploration as you delve into the Data Structures and Algorithms course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (CSC-154) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60+20+20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.
This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.
Course Synopsis: Study of basic data structure vocabulary, the concept of an algorithm.
Units
1.1 Introduction to Data Structures: Information and its meaning, Array in C: The array as an ADT, Using one dimensional array, Two dimensional array, Multi dimensional array, Structure , Union, Classes in C++.
1.2 The Stack: Introduction, definition, primitive operation, the stack as an abstract data type, implementing the POP operation, testing for exceptional condition, implementing the PUSH operation.
1.3 The Infix, Postfix & Prefix: Introduction, evaluating the postfix operation, program to evaluate the postfix operation, limitation of program, converting from one to another.
1.4 Recursion: Introduction, factorial functions, multiplication of natural numbers, Fibonacci sequence, binary search, the tower of Hanoi problem, translation from prefix to postfix using recursion.
Unit 2
1.1 Queues: Introduction, the queue and its sequential representation: The queue as an abstract data type, implementation of queue, inserts operation, priority queue.
1.2 Linked Lists: Introduction, inserting and deleting the nodes from a list, linked implementation of stack, getnode and freenode operation, linked implementation of queue, Linked list as a data structure, circular lists, stack as a circular list, queue as a circular list.
1.3 Tree: Introduction, Binary Trees: operation on Binary Trees, application of Binary Trees. Binary Tree Representation: node representation of binary tree, internal and external nodes, implicit array representation of binary tree, binary tree traversal, threaded binary tree, heterogonous binary tree. The Huffman algorithm. Representing lists as binary trees. Trees and their application.
1.4 Sorting: Introduction, O notation, efficiency of sorting, exchange sort: bubble sort, quick sort.
1.5 Selection and Tree Sorting: Introduction, straight selection sort, binary tree sort, heapsort, insertion sort, merge and radix sort.
1.6 Searching: Introduction, sequential searching, binary search, interpolation search, tree search, general search tree, hashing.
1.7 Graphs: Introduction, linked representation of graphs.
1.8 Algorithm: Introduction, design of algorithm, algorithm validation, analysis of algorithm, algorithm testing. subalgorithm