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Subject Code: IT/T/121
Credit Hours/Class:
Theory Class: 3 Periods/Week
- Theory Class
Marks Distribution:
Theory Class: Two Class Test of 30 marks each for one hour duration.
Final exam of 100 marks for 3 hours written exam
Course Outcomes:
Students will be introduced with the mathematics of complexity analysis.
To be familiar with different data structures (linear: stack, queue; non-liner: tree, graph) and their variants.
Students will be able write ‘C’ program to solve different problems using different data structures.
To be acquainted with sorting and searching problems with different solutions.
To be able to solve different problems related to searching and traversal
Syllabus Outline:
PART – I
Introduction: Algorithms, Order Notation: Time and Space Analysis of Algorithms
Sequential Representations of lists: Arrays and Lists, Linked Representation - Linear linked lists. Circular linked lists. Doubly linked lists. Operations on all types of lists. Applications.
Special Lists: Stacks, Queues and their applications.
Recursion: Design of recursive algorithms, Recursion vs. Iteration, Removal of Recursion
PART - II
Trees - Binary Trees, Traversals of binary trees, Structural properties of binary trees. Representation of binary trees in terms of pointers and arrays. General trees
Binary Search Trees: Search, Insertion and Deletion algorithms, Structural properties. Threaded Binary trees.
Balanced Binary Search Trees: AVL tree, B-trees, B+- trees.
PART - III
Sorting and Searching Algorithms: Bubble sort, Selection Sort, Insertion Sort, Quick sort, Merge Sort, Heap sort and Radix Sort, Binary Search, Interpolation Search.
PART - IV
Graphs: Representations, Breadth-first and Depth-first Traversals, Shortest Path algorithms, Minimal Spanning Tree Algorithms
Hashing: Hashing Functions, Collision Resolution Techniques.