The syllabus of Unit - Data Structures and Algorithms under Second Year of Computer Engineering of Savitribai Phule Pune University is as follows:

Second Year of Computer Engineering (2015 Course)
210243: Data Structures and Algorithms

Course Contents

Unit I Introduction to Algorithm and Data Structures
Algorithms- Problem Solving, Introduction to Algorithms, Characteristics of algorithms, Algorithm design tools: Pseudo code and flowchart, Analysis of Algorithms, Complexity of algorithms- Space complexity, Time complexity, Asymptotic notation- Big-O, Theta and Omega, standard measures of efficiency.
Data Structures- Data structure, Abstract Data Types (ADT), Concept of linear and Non-linear, static and dynamic, persistent and ephemeral data structures, and relationship among data, data structure, and algorithm, From Problem to Program.
Algorithmic Strategies- Introduction to algorithm design strategies- Divide and Conquer, and Greedy strategy. Recurrence relation - Recurrence Relation, Linear Recurrence Relations, With constant Coefficients, Homogeneous Solutions. Solving recurrence relations

Unit II Linear Data Structures Using Sequential Organization
Sequential Organization, Linear Data Structure Using Sequential Organization, Array as an Abstract Data Type, Memory Representation and Address Calculation, Inserting an element into an array, Deleting an element, 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, Sparse matrix addition, Transpose of sparse matrix, String Manipulation Using Array. Case Study- Use of sparse matrix in Social Networks and Maps.

Unit III Linked Lists 09 Hours
Concept, Comparison of sequential and linked organizations, Primitive operations, Realization of Linked Lists, Realization of linked list using arrays, Dynamic Memory Management, Linked list using dynamic memory management, Linked List Abstract Data Type, Linked list operations, Head pointer and header node, Types of linked list- Linear and circular linked lists, Doubly Linked List and operations, Circular Linked List, Singly circular linked list, Doubly circular linked list, Polynomial Manipulations - Polynomial addition, Multiplication of two polynomials using linked list. Generalized Linked List (GLL) concept, representation of polynomial and sets using GLL. Case Study- Garbage Collection

Unit IV Stacks
Stacks- concept, Primitive operations, Stack Abstract Data Type, Representation of Stacks Using Sequential Organization, stack operations, Multiple Stacks, Applications of Stack- Expression Evaluation and Conversion, Polish notation and expression conversion, Need for prefix and postfix expressions, Postfix expression evaluation, Linked Stack and Operations.
Recursion- concept, variants of recursion- direct, indirect, tail and tree, Backtracking algorithmic strategy, use of stack in backtracking. Case Study- 4 Queens problem, Android multiple tasks/multiple activities and back stack.

Unit V Queues 09 Hours
Concept, Queue as Abstract Data Type, Realization of Queues Using Arrays , Circular Queue, Advantages of using circular queues, Multi-queues, Deque, Priority Queue, Array implementation of priority queue, Linked Queue and operations. Case study- Priority queue in bandwidth management.

Unit VI Sorting and Searching
Searching- Search Techniques, Sequential search, variant of sequential search- sentinel search, Binary search, Fibonacci search. Case Study- Use of Fibonacci search in non-uniform access memory storage and in Optimization of Unimodal Functions. Sorting- Types of sorting-Internal and external sorting, General sort concepts-sort order, stability, efficiency, number of passes, Sorting methods- Bubble sort, Insertion sort, Selection sort, Quick sort, Heap sort, Shell sort, Bucket sort, Radix sort, Comparison of All Sorting Methods. Case Study- Timsort as a hybrid stable sorting algorithm.

Books:

Text:
1. Brassard & Bratley, ―Fundamentals of Algorithmics‖, Prentice Hall India/Pearson Education, ISBN 13-9788120311312.
2. Horowitz and Sahani, ―Fundamentals of Data Structures in C++‖, University Press, ISBN 10: 0716782928 ISBN 13: 9780716782926.
3. Goodrich, Tamassia, Goldwasser, ―Data Structures and Algorithms in C++‖, Wiley publication, ISBN-978-81-265-1260-7

References:
1. R. Gillberg, B. Forouzn, ―Data Structures: A Pseudo code approach with C‖, Cenage Learning, ISBN 9788131503140.
2. Horowitz, Sahani and Rajshekaran, ―Fundamentals of Computer Algorithms‖, University Press, ISBN-13, 9788175152571.
3. Yedidyah Langsam, Moshe J Augenstein, Aron M Tenenbaum, ―Data Structures using C and C++‖, Pearson Education, ISBN 81-317-0328-2.
4. A Michael Berman, ―Data Structures via C++: Objects by Evolution‖, Oxford University Press, ISBN:0-19-510843-4.
5. M. Weiss, ―Data Structures and Algorithm Analysis in C++‖, 2nd edition, Pearson Education, 2002, ISBN-81-7808-670-0