SE FUNDAMENTAL OF DATA STRUCTURES MCQ
About cource :
The course is intended to provide the foundations of the practical implementation and usage of Data Structures and Algorithms to ensure that the learner evolves into a competent programmer capable of designing and analyzing implementations of data structures and algorithms for different kinds of problems.
Unit I : Introduction to Algorithm and Data StructuresIntroduction: From Problem to Program (Problem, Solution, Algorithm, Data Structure and Program).Data Structures: Data, Information, Knowledge, and Data structure, Abstract Data Types (ADT), DataStructure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral datastructures). Algorithms: Problem Solving, Introduction to algorithm, Characteristics of algorithm, Algorithmdesign tools: Pseudo-code and flowchart. Complexity of algorithm: Space complexity, Timecomplexity, Asymptotic notation- Big-O, Theta and Omega, finding complexity using step countmethod, Analysis of programming constructs-Linear, Quadratic, Cubic, Logarithmic. Algorithmic Strategies: Introduction to algorithm design strategies- Divide and Conquer, and Greedy strategy.
Unit II : Linear Data Structure Using Sequential Organization Concept of Sequential Organization, Overview of Array, Array as an Abstract Data Type, Operations on Array, Merging of two arrays, Storage Representation and their Address Calculation: Row major and Column Major, Multidimensional Arrays: Two-dimensional arrays, n-dimensional arrays. Concept of Ordered List, Single Variable Polynomial: Representation using arrays, Polynomial as array of structure, Polynomial addition, Polynomial multiplication. Sparse Matrix: Sparse matrix representation using array, Sparse matrix addition, Transpose of sparse matrix- Simple and Fast Transpose, Time and Space tradeoff.
Unit III : Searching and Sorting Searching: Search Techniques-Sequential Search/Linear Search, Variant of Sequential Search- Sentinel Search, Binary Search, Fibonacci Search, and Indexed Sequential Search. Sorting: Types of Sorting-Internal and External Sorting, General Sort Concepts-Sort Order, Stability, Efficiency, and Number of Passes, Comparison Based Sorting Methods-Bubble Sort, Insertion Sort, Selection Sort, Quick Sort, Shell Sort, Non-comparison Based Sorting Methods-Radix Sort, Counting Sort, and Bucket Sort, Comparison of All Sorting Methods and their complexities.
Unit IV: Linked List Introduction to Static and Dynamic Memory Allocation, Linked List: Introduction, of Linked Lists, Realization of linked list using dynamic memorymanagement,operations, Linked List as ADT, Types of Linked List: singly linked, linear and CircularLinked Lists, Doubly Linked List, Doubly Circular Linked List, Primitive Operations on Linked List-Create, Traverse, Search, Insert, Delete, Sort, Concatenate. Polynomial Manipulations-Polynomialaddition. Generalized Linked List (GLL) concept, Representation of Polynomial using GLL.
Unit V : Stack
Basic concept, stack Abstract Data Type, Representation of Stacks Using Sequential Organization,stack operations, Multiple Stacks,Applications of Stack- Expression Evaluation and Conversion, Polish notation and expressionconversion, Need for prefix and postfix expressions, Postfix expression evaluation, Linked Stack andOperations.Recursion- concept, variants of recursion- direct, indirect, tail and tree, backtracking algorithmic strategy, use of stack in backtracking.
Unit VI : Queue
Basic concept, Queue as Abstract Data Type, Representation of Queue using Sequential organization,Queue Operations, Circular Queue and its advantages, Multi-queues,Linked Queue and Operations. Deque-Basic concept, types (Input restricted and Output restricted), Priority Queue- Basic concept, types (Ascending and Descending).
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