A comprehensive academic resource for Data Structures (DS) and Data Structures Laboratory (DS Lab), covering fundamental data types, algorithms, analysis, and implementation techniques essential for computer engineering foundations.
Overview · Contents · Reference Books · Personal Preparation · Laboratory · Question Papers · Syllabus · Usage Guidelines · License · About · Acknowledgments
Data Structures (CSC305) and Data Structures Lab (CSL303) are core subjects in the Second Year (Semester III) of the Computer Engineering curriculum at the University of Mumbai. These courses establish the foundational understanding of organizing and managing data efficiently, which is crucial for developing high-performance algorithms and robust software systems.
The curriculum encompasses several key domains in data structure theory and application:
- Introduction to Data Structures: Concept of ADT, types of data structures (linear and non-linear), and algorithm complexity analysis.
- Arrays: Representation, operations (insertion, deletion, traversal), and multi-dimensional arrays.
- Linked Lists: Singly linked lists, doubly linked lists, circular lists, and their applications.
- Stacks and Queues: Implementation using arrays and linked lists, applications like expression parsing (infix/postfix), and priority queues.
- Searching and Sorting: Linear search, binary search, and various sorting algorithms (Bubble, Insertion, Selection, Quick, Merge, Shell).
- Trees: Binary trees, binary search trees (BST), AVL trees, and tree traversal techniques.
- Graphs: Representation (adjacency matrix/list), traversal (BFS, DFS), and shortest path algorithms.
- Hashing: Hash functions, collision resolution techniques, and applications.
This repository represents a curated collection of study materials, reference books, question papers, and personal preparation notes compiled during my academic journey. The primary motivation for creating and maintaining this archive is simple yet profound: to preserve knowledge for continuous learning and future reference.
As I progress in my career, I recognize that data structure fundamentals remain essential for software engineering, system design, and technical interviews. This repository serves as my intellectual reference point: a resource I can return to for relearning concepts, reviewing methodologies, and strengthening understanding when needed.
Why this repository exists:
- Knowledge Preservation: To maintain organized access to comprehensive study materials beyond the classroom.
- Continuous Learning: To support lifelong learning by enabling easy revisitation of fundamental data structure concepts.
- Academic Documentation: To authentically document my learning journey through DS and DS Lab.
- Community Contribution: To share these resources with students and learners who may benefit from them.
All materials in this repository were gathered, organized, and documented by me during my undergraduate studies (2018-2022) as part of my coursework and exam preparation.
This collection includes comprehensive reference materials covering all major topics:
| # | Resource | Focus Area |
|---|---|---|
| 1 | Data Structures Using C - Reema Thareja | Standard textbook for C implementation |
| 2 | Introduction to Algorithms - Cormen | Comprehensive algorithmic analysis |
| 3 | Data Structures Techmax | Syllabus-oriented academic reference |
| 4 | Data Structures Notes | Simplified concept notes |
| 5 | Data Structures by Dr. Subasish Mohapatra | Advanced structural concepts |
| 6 | Data Structures programs | Collection of implementation examples |
| 7 | DS Viva | Preparation guide for oral examinations |
Study materials and planning resources for effective exam preparation:
| # | Resource | Description |
|---|---|---|
| 1 | Syllabus Breakdown | Detailed module-wise syllabus notes |
| 2 | Module Planning | Topic organization and study schedule |
| 3 | Semester Timetable | Class schedule and planning |
| 4 | Examination Blueprint | Question paper pattern and marking scheme |
The laboratory component (CSL303) focuses on hands-on implementation of various data structures and algorithms using C, providing practical experience in solving complex computational problems.
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Tip
Live Implementation: For a comprehensive visual showcase, visit the DS Lab Portfolio Dashboard. For the complete source code and detailed documentation, visit the Data Structures Lab directory. Visualization is key. Always draw the state of your data structure (nodes, pointers, indices) on paper before and during code implementation.
| # | Category | Programs | Topics Covered | Source Code |
|---|---|---|---|---|
| 1 | Arrays | 4 | Matrix operations, pair finding, statistical analysis | View |
| 2 | Strings | 3 | Word reversal, character counting, replacement | View |
| 3 | Linked Lists | 7 | Singly, doubly, circular lists, concatenation, traversal | View |
| 4 | Stacks | 8 | Expression evaluation, infix/postfix/prefix conversion | View |
| 5 | Queues | 5 | Circular, priority, deque, reversal operations | View |
| 6 | Searching & Sorting | 7 | Binary search, bubble, insertion, merge, quick sort | View |
Array Operations (4 Programs)
| Program | Description | Code |
|---|---|---|
matrix_addition.c |
Adds two 3x3 matrices using pointer arithmetic | View |
student_marks_analysis.c |
Analyzes student marks with subject/student averages | View |
find_pairs_sum.c |
Finds all pairs that sum to target value (50) | View |
array_sum_mean.c |
Calculates sum and mean of 2D array elements | View |
String Operations (3 Programs)
| Program | Description | Code |
|---|---|---|
reverse_words.c |
Reverses word order in a sentence | View |
count_characters.c |
Counts numbers, uppercase, lowercase, special chars | View |
replace_character.c |
Replaces all occurrences of a character | View |
Linked List Operations (7 Programs)
| Program | Description | Code |
|---|---|---|
singly_linked_list.c |
Basic operations: insert, delete, display | View |
doubly_linked_list.c |
Bidirectional traversal and operations | View |
circular_linked_list.c |
Circular list with wrap-around | View |
concatenate_linked_lists.c |
Merges two linked lists | View |
count_nonzero_nodes.c |
Counts nodes with non-zero values | View |
count_occurrences.c |
Counts occurrences of a value | View |
find_max_min.c |
Finds maximum and minimum values | View |
Stack Operations (8 Programs)
| Program | Description | Code |
|---|---|---|
evaluate_postfix_expression.c |
Evaluates postfix expressions using stack | View |
evaluate_postfix_simple.c |
Simple postfix evaluation (single digits) | View |
evaluate_prefix.c |
Evaluates prefix (Polish notation) expressions | View |
infix_to_postfix.c |
Converts infix to postfix with operator precedence | View |
infix_to_prefix.c |
Converts infix to prefix notation | View |
postfix_to_infix.c |
Converts postfix back to infix | View |
prefix_to_infix.c |
Converts prefix back to infix | View |
stack_using_linked_list.c |
Dynamic stack implementation | View |
Queue Operations (5 Programs)
| Program | Description | Code |
|---|---|---|
circular_queue.c |
Circular queue with wrap-around logic | View |
priority_queue.c |
Priority-based queue using linked list | View |
double_ended_queue.c |
Deque with sentinel nodes | View |
deque_both_ends.c |
Array-based deque operations | View |
| `reverse_queue.c" | Reverses queue using stack | View |
Searching & Sorting (7 Programs)
| Program | Algorithm | Time Complexity | Code |
|---|---|---|---|
binary_search.c |
Binary Search | O(log n) | View |
binary.c |
Binary Search (alt) | O(log n) | View |
bubble_sort.c |
Bubble Sort | O(n²) | View |
bubble.c |
Bubble Sort (alt) | O(n²) | View |
insertion.c |
Insertion Sort | O(n²) | View |
merge.c |
Merge Sort | O(n log n) | View |
quick.c |
Quick Sort | O(n log n) avg | View |
| # | Resource | Description |
|---|---|---|
| 1 | Interactive Lab Portfolio | Interactive dashboard with source code descriptions and visualizations |
| 2 | Laboratory Journal | Complete record of experiments with code, outputs, and analysis |
| 3 | Lab README | Detailed navigation guide with source code descriptions |
University of Mumbai examination papers from 2017-2019 with complete solutions:
| # | Exam Session | Question Paper | Solutions |
|---|---|---|---|
| 1 | December 2017 | Paper | Solutions |
| 2 | May 2018 | Paper | Solutions |
| 3 | December 2018 | Paper | Solutions |
| 4 | May 2019 | Paper | Solutions |
Official CBCGS Syllabus
Complete Second Year Computer Engineering syllabus document from the University of Mumbai, including detailed course outcomes, assessment criteria, and module specifications for Data Structures and Data Structures Lab.
Important
Always verify the latest syllabus details with the official University of Mumbai website, as curriculum updates may occur after this repository's archival date.
This repository is openly shared to support learning and knowledge exchange across the academic community.
For Students
Use these resources as reference materials for understanding concepts, reviewing problem-solving techniques, and preparing for examinations. All content is organized for self-paced learning.
For Educators
These materials may serve as curriculum references, assignment examples, or supplementary teaching resources. Attribution is appreciated when utilizing content.
For Researchers
The documentation and organization may provide insights into academic resource curation and educational content structuring.
This repository and all linked academic content are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). See the LICENSE file for complete terms.
Note
Summary: You are free to share and adapt this content for any purpose, even commercially, as long as you provide appropriate attribution to the original author.
Created & Maintained by: Amey Thakur
Academic Journey: Bachelor of Engineering in Computer Engineering (2018-2022)
Institution: Terna Engineering College, Navi Mumbai
University: University of Mumbai
This repository represents a comprehensive collection of study materials, reference books, question papers, and personal preparation notes curated during my academic journey. All content has been carefully organized and documented to serve as a valuable resource for students pursuing Data Structures & Data Structures Lab.
Grateful acknowledgment to the faculty members of the Department of Computer Engineering at Terna Engineering College for their guidance. Their instruction was fundamental to the completion of this coursework.
Special thanks to the mentors and peers whose collaboration, feedback, and support were instrumental during the development of these projects.
Overview · Contents · Reference Books · Personal Preparation · Laboratory · Question Papers · Syllabus · Usage Guidelines · License · About · Acknowledgments
Computer Engineering (B.E.) - University of Mumbai
Semester-wise curriculum, laboratories, projects, and academic notes.