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B-SC in Computer Science at Hindu Kanya Mahavidyalaya
Sonipat, Haryana
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About the Specialization
What is Computer Science at Hindu Kanya Mahavidyalaya Sonipat?
This Computer Science program at Hindu Girls College, Sonipat, focuses on providing a strong foundation in core computational principles, programming, and emerging technologies. It aligns with the dynamic demands of the Indian IT sector, equipping students with essential skills for software development, data management, and digital innovation. The curriculum is designed to foster analytical thinking and practical problem-solving capabilities.
Who Should Apply?
This program is ideal for 10+2 science graduates with an aptitude for logic and problem-solving, keen on building a career in technology. It also suits individuals aspiring for entry-level roles as software developers, data analysts, or network administrators in India''''s growing digital economy. No prior advanced programming knowledge is strictly required, making it accessible for foundational learners.
Why Choose This Course?
Graduates of this program can expect to secure roles in diverse Indian IT companies, ranging from startups to established MNCs. Typical career paths include Junior Developer, IT Support Specialist, Web Developer, or Database Assistant, with entry-level salaries in the INR 3-5 LPA range. The robust curriculum prepares students for higher studies or specialized certifications in areas like AI/ML or cybersecurity, fueling long-term career growth.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C and C++)- (Semester 1-2)
Dedicate significant time to understanding C and C++ programming logic and syntax. Practice daily coding problems on platforms like HackerRank or GeeksforGeeks to build strong problem-solving skills and debug effectively. Focus on core concepts like data structures and algorithms.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, NPTEL videos for C/C++
Career Connection
A strong grasp of C/C++ and data structures is foundational for almost all software development roles and is a key evaluation criterion in campus placements for IT companies.
Build a Strong Mathematical & Logical Base- (Semester 1-2)
Pay close attention to Discrete Mathematics and Mathematical Foundations of Computer Science. These subjects are crucial for understanding algorithms, cryptography, and advanced computer science concepts. Solve numerical problems regularly and understand the underlying logic.
Tools & Resources
Textbooks, Online tutorials on discrete math, Logic puzzles
Career Connection
Enhances analytical thinking, essential for complex problem-solving in software architecture, data science, and competitive programming, highly valued in tech interviews.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups with classmates to discuss challenging topics, share knowledge, and work on small programming projects together. Participate in college-level coding challenges to apply theoretical knowledge and learn from others'''' approaches.
Tools & Resources
GitHub for collaborative coding, College computer labs, Google Meet for virtual study groups
Career Connection
Develops teamwork and communication skills, which are vital for working in professional software teams, and provides practical project experience for resumes.
Intermediate Stage
Undertake Mini-Projects with Real-World Applications- (Semester 3-5)
Apply concepts from Operating Systems, DBMS, and Web Designing to build functional mini-projects. For instance, create a simple web application with a database backend or simulate OS processes. Focus on integrating different technologies learned.
Tools & Resources
GitHub, VS Code, MySQL/PostgreSQL, Apache/Nginx, HTML/CSS/JavaScript frameworks
Career Connection
Practical projects demonstrate application of knowledge, making resumes stand out during internships and job applications, especially for web development or database administration roles.
Pursue Internships or Industry Exposure- (Semester 3-5)
Actively search for summer internships or part-time opportunities in local IT companies, startups, or even college-based research projects. Even short-term experiences provide invaluable industry insights and networking opportunities.
Tools & Resources
Internshala, LinkedIn, College placement cell, Local job fairs
Career Connection
Internships are crucial for gaining real-world experience, building a professional network, understanding company culture, and often lead to pre-placement offers.
Specialize in a Niche Technology (Java, Python, Web)- (Semester 3-5)
As you learn Java, Python, and Web Designing, identify an area of interest and delve deeper. Take online courses (Coursera, Udemy) or participate in bootcamps to gain advanced skills in your chosen specialization, like advanced Java for enterprise applications or full-stack web development.
Tools & Resources
Coursera, Udemy, edX, Official documentation of chosen technologies
Career Connection
Specialized skills make you a strong candidate for specific roles and industries, potentially leading to higher salaries and more focused career paths in the competitive Indian job market.
Advanced Stage
Develop a Comprehensive Major Project- (Semester 6)
Work diligently on your Major Project in Semester 6, choosing a topic that aligns with your specialization and industry trends (e.g., AI, Cloud, Machine Learning). Focus on innovation, scalable design, and robust implementation, documenting every phase meticulously.
Tools & Resources
Modern IDEs, Cloud platforms (AWS/Azure/GCP free tier), Machine learning frameworks (TensorFlow/PyTorch), Version control (Git)
Career Connection
A well-executed final year project is a powerful portfolio piece for showcasing technical skills and problem-solving ability to potential employers during placements.
Intensive Placement Preparation and Mock Interviews- (Semester 5-6)
Start preparing for placements early. Practice aptitude tests, technical rounds (coding and theoretical questions), and HR interviews. Participate in mock interviews conducted by the college or external mentors to refine your communication and confidence.
Tools & Resources
Online aptitude tests, Coding interview platforms (LeetCode), InterviewBit, College placement cell workshops
Career Connection
Crucial for securing a good job. Excellent preparation significantly increases the chances of clearing competitive placement drives by top Indian IT service companies and product-based firms.
Network Professionally and Explore Post-Graduation Options- (Semester 5-6)
Attend industry workshops, seminars, and tech conferences (virtual or local) to network with professionals and stay updated on industry trends. Research higher education options (M.Sc., MCA, MBA) or specialized certifications if you plan to further your academic or professional qualifications.
Tools & Resources
LinkedIn, Tech events calendars, University websites for M.Sc/MCA programs, GATE exam resources
Career Connection
Building a professional network can open doors to job opportunities and mentorship. Exploring post-graduation ensures a clear career trajectory, whether in advanced technical roles or management.
Program Structure and Curriculum
Eligibility:
- 10+2 with Science (Physics, Chemistry, Mathematics/Computer Science) or equivalent, with minimum 45-50% aggregate marks, as per MDU Rohtak norms for affiliated colleges.
Duration: 3 years / 6 semesters
Credits: 118 Credits
Assessment: Internal: 20%, External: 80%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-101 | Fundamentals of Computer & Programming in C | Core Theory | 4 | Introduction to Computers, Number Systems, C Language Fundamentals, Control Statements and Loops, Functions and Pointers, Arrays and Structures |
| 22C-CS-102 | Digital Electronics | Core Theory | 4 | Logic Gates and Boolean Algebra, Combinational Circuits, Sequential Circuits, Flip-Flops, Counters and Registers, Memory Devices |
| 22C-CS-103 | Mathematical Foundations of Computer Science | Core Theory | 4 | Set Theory, Relations and Functions, Mathematical Logic, Group Theory, Graph Theory, Trees and Lattices |
| 22C-CS-104 | Computer Programming using C Lab | Core Practical | 2 | C Program Execution, Conditional Statements and Loops, Functions and Recursion, Arrays, Strings and Pointers, Structures and Unions, File Handling |
| 22C-CS-105 | Digital Electronics Lab | Core Practical | 2 | Verification of Logic Gates, Boolean Algebra Laws, Encoder/Decoder/Multiplexer, Flip-Flop Implementation, Counters and Registers, Arithmetic Circuits |
| 22A-EN-101 | English Language | Ability Enhancement Compulsory Course (AECC) | 2 | Grammar and Vocabulary, Reading Comprehension, Letter and Report Writing, Public Speaking Skills, Communication Strategies, Essay Writing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-201 | Data Structure using C | Core Theory | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Traversals, Searching Algorithms, Sorting Algorithms |
| 22C-CS-202 | Object Oriented Programming using C++ | Core Theory | 4 | Classes and Objects, Constructors and Destructors, Inheritance and Polymorphism, Operator Overloading, Virtual Functions, Exception Handling and Templates |
| 22C-CS-203 | Discrete Mathematics | Core Theory | 4 | Logic and Proofs, Set Theory and Combinatorics, Relations and Functions, Algebraic Structures, Recurrence Relations, Boolean Algebra |
| 22C-CS-204 | Data Structure using C Lab | Core Practical | 2 | Array Operations, Stack and Queue Implementation, Linked List Operations, Tree Traversals, Graph Algorithms, Searching and Sorting Programs |
| 22C-CS-205 | Object Oriented Programming using C++ Lab | Core Practical | 2 | Class and Object Creation, Inheritance Implementation, Polymorphism Concepts, Operator and Function Overloading, File Input/Output, Template Programming |
| 22A-EV-201 | Environmental Studies | Ability Enhancement Compulsory Course (AECC) | 2 | Natural Resources and Ecosystems, Environmental Pollution, Biodiversity and Conservation, Social Issues and Environment, Environmental Ethics, Human Population and Environment |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-301 | Operating System | Core Theory | 4 | Introduction to Operating Systems, Process Management and CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems and I/O Systems |
| 22C-CS-302 | Computer Networks | Core Theory | 4 | Network Topologies and Models (OSI, TCP/IP), Data Link Layer, Network Layer, Transport Layer, Application Layer Protocols, Network Security Basics |
| 22C-CS-303 | Database Management System | Core Theory | 4 | DBMS Concepts and Architecture, ER Model and Relational Model, SQL Queries and Operations, Normalization, Transaction Management, Concurrency Control and Recovery |
| 22C-CS-304 | Operating System Lab | Core Practical | 2 | Linux Commands and Utilities, Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Deadlock Avoidance Algorithms, Memory Allocation Techniques |
| 22C-CS-305 | Computer Networks Lab | Core Practical | 2 | Network Configuration and Troubleshooting, Socket Programming, Packet Sniffing Tools, Routing Protocols, Network Address Translation (NAT), TCP/UDP Implementation |
| 22C-CS-306 | Database Management System Lab | Core Practical | 2 | DDL and DML Commands, SQL Queries (SELECT, INSERT, UPDATE, DELETE), Joins and Subqueries, Views and Stored Procedures, Triggers and Functions, Database Design and ER Diagrams |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-401 | Java Programming | Core Theory | 4 | Java Fundamentals and OOPs Concepts, Classes, Objects, Inheritance, Polymorphism, Interfaces and Packages, Exception Handling, Multithreading, Applets and AWT/Swing Basics |
| 22C-CS-402 | Web Designing | Core Theory | 4 | HTML5 and CSS3 Fundamentals, JavaScript Basics and DOM Manipulation, Web Page Layout and Design Principles, Responsive Web Design, Form Handling and Validation, Introduction to Web Hosting |
| 22C-CS-403 | Software Engineering | Core Theory | 4 | Software Life Cycle Models, Requirement Engineering, Software Design Principles, Software Testing Techniques, Software Project Management, Maintenance and Quality Assurance |
| 22C-CS-404 | Java Programming Lab | Core Practical | 2 | Java Programs for OOP Concepts, Exception Handling, Multithreading Applications, Applet Development, GUI Design with AWT/Swing, File I/O Operations |
| 22C-CS-405 | Web Designing Lab | Core Practical | 2 | HTML Page Creation and Styling, CSS for Layout and Formatting, JavaScript for Interactive Pages, Form Design and Validation, Integrating Multimedia, Responsive Design Implementation |
| 22C-CS-406 | Python Programming | Skill Enhancement Course (SEC) | 2 | Python Language Fundamentals, Data Types and Operators, Control Structures and Functions, Modules and Packages, File Input/Output, Object-Oriented Programming in Python |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-501 | Computer Graphics | Core Theory | 4 | Introduction to Computer Graphics, Graphics Primitives and Algorithms, 2D and 3D Transformations, Clipping and Projections, Hidden Surface Removal, Shading and Illumination Models |
| 22C-CS-502 | Theory of Computation | Core Theory | 4 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Theory Basics |
| 22C-CS-503 | Data Science with R | Discipline Specific Elective (DSE) | 4 | Introduction to R Programming, Data Manipulation and Cleaning, Data Visualization with R, Statistical Modeling, Introduction to Machine Learning, Big Data Concepts |
| 22C-CS-504 | Android Programming | Discipline Specific Elective (DSE) | 4 | Android Architecture and SDK, Activities, Intents, and Layouts, User Interface Widgets, Data Storage Options, Permissions and Security, SQLite Database Integration |
| 22C-CS-505 | Computer Graphics Lab | Core Practical | 2 | Line Drawing Algorithms (DDA, Bresenham), Circle Drawing Algorithms, 2D Transformations, Polygon Filling Algorithms, Clipping Algorithms, Interactive Graphics Programming |
| 22C-CS-506 | Data Science with R Lab | DSE Practical | 2 | R Environment Setup, Data Loading and Preprocessing, Statistical Analysis in R, Creating Visualizations, Implementing Predictive Models, Case Studies with Real Datasets |
| 22C-CS-507 | Android Programming Lab | DSE Practical | 2 | Designing Android Layouts, Handling User Input and Events, Working with Activities and Intents, Implementing SQLite Database, Developing Notification Services, Building a complete Android Application |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22C-CS-601 | Artificial Intelligence | Core Theory | 4 | Introduction to AI and Intelligent Agents, Problem Solving through Search, Knowledge Representation, Machine Learning Basics, Expert Systems, Natural Language Processing Fundamentals |
| 22C-CS-602 | Major Project | Project | 6 | Project Proposal and Planning, System Design and Architecture, Implementation and Coding, Testing and Debugging, Documentation and Report Writing, Project Presentation and Viva-Voce |
| 22C-CS-603 | Cloud Computing | Discipline Specific Elective (DSE) | 4 | Cloud Computing Concepts and Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security and Privacy, Big Data in Cloud |
| 22C-CS-604 | Machine Learning | Discipline Specific Elective (DSE) | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Neural Networks Basics, Deep Learning Introduction |
| 22C-CS-605 | Artificial Intelligence Lab | Core Practical | 2 | Programming with Python/Prolog for AI, Implementing Search Algorithms, Knowledge Representation Techniques, Expert System Shells, Mini AI Projects, Natural Language Processing tools |
| 22C-CS-606 | Cloud Computing Lab | DSE Practical | 2 | Setting up Cloud Instances (AWS/Azure/GCP), Deploying Web Applications in Cloud, Managing Cloud Storage, Virtual Machine Configuration, Cloud Security Best Practices, Containerization with Docker |
| 22C-CS-607 | Machine Learning Lab | DSE Practical | 2 | Python Libraries for ML (Scikit-learn, Pandas), Implementing Regression Models, Classification Algorithms, Clustering Techniques, Data Preprocessing and Feature Engineering, Model Training and Evaluation |
