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B-SC in Computer Science at Swami Ramnarayanacharya Mahila Mahavidyalaya
Ballia, Uttar Pradesh
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About the Specialization
What is Computer Science at Swami Ramnarayanacharya Mahila Mahavidyalaya Ballia?
This B.Sc. Computer Science program at Swami Ramnarayanacharya Mahila Mahavidyalaya focuses on equipping students with foundational and advanced computing skills essential for the evolving Indian IT industry. The curriculum, aligned with university guidelines, covers programming, data structures, databases, and web development, preparing graduates for diverse roles in software development and technical support within India''''s growing digital economy. It emphasizes practical application, crucial for immediate industry relevance.
Who Should Apply?
This program is ideal for recent 10+2 science graduates with a keen interest in logical thinking and problem-solving, aspiring to build a career in the IT sector. It caters to individuals looking for an entry point into software development, data management, or web technologies. Students who wish to pursue higher education in computer applications or management fields after graduation will also find this a strong academic foundation.
Why Choose This Course?
Graduates of this program can expect to pursue various career paths within India, including Junior Software Developer, Web Designer, Database Administrator, or IT Support Specialist. Entry-level salaries typically range from INR 2.5 LPA to 4.5 LPA, with significant growth trajectories for experienced professionals. The program also aligns with prerequisites for professional certifications in programming languages and database technologies, enhancing employability in Indian companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C Language)- (Semester 1-2)
Dedicate consistent time to practice C programming concepts daily. Solve at least 2-3 coding problems from online platforms like CodeChef or HackerRank focused on loops, conditionals, arrays, and functions. Participate in college-level coding challenges.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks C Tutorials, College Programming Lab
Career Connection
Strong C programming forms the backbone for advanced computer science subjects and is essential for clearing initial technical rounds in placements.
Develop Strong Logical and Problem-Solving Skills- (Semester 1-2)
Engage in logical puzzles and algorithmic thinking exercises beyond textbook examples. Understand the ''''why'''' behind solutions. Form study groups with peers to discuss different approaches to problems.
Tools & Resources
Logic puzzles books, LeetCode (easy problems), Peer study groups
Career Connection
Critical for tackling complex software development challenges and excelling in competitive programming and technical interviews.
Build a Foundational Project Portfolio- (Semester 1-2)
After learning core concepts like C and Data Structures, attempt to build small, simple projects. Examples include a basic calculator, a tic-tac-toe game, or a contact management system using linked lists. Document your code properly.
Tools & Resources
GitHub (for version control), Online C compilers, Project ideas from GeeksforGeeks
Career Connection
Early project work demonstrates practical application of knowledge, crucial for showcasing skills in resume and interviews for internships.
Intermediate Stage
Practical Application of DBMS and OOP- (Semester 3-5)
Actively work on database design and SQL projects. For OOP, implement real-world scenarios using C++ (e.g., a simple banking system or library management system). Focus on object-oriented design principles and best practices.
Tools & Resources
MySQL/PostgreSQL, phpMyAdmin/pgAdmin, Visual Studio Code with C++ extensions, Online OOP tutorials
Career Connection
Proficiency in DBMS and OOP is highly sought after by Indian IT companies for backend development and software architecture roles.
Explore Open Source Contributions and Internships- (Semester 3-5)
Look for beginner-friendly open-source projects or local internships during semester breaks. This provides practical industry exposure, teaches collaborative development, and helps build a professional network. Attend workshops on version control systems like Git.
Tools & Resources
GitHub (for open source), LinkedIn (for internship search), College placement cell
Career Connection
Internships are often a direct path to pre-placement offers and provide invaluable experience that distinguishes candidates in the job market.
Participate in Tech Competitions and Hackathons- (Semester 3-5)
Join college-level or regional tech competitions and hackathons related to programming, web development, or data management. These events foster teamwork, problem-solving under pressure, and expose students to new technologies.
Tools & Resources
College technical clubs, Local tech meetups, Devpost.com
Career Connection
Winning or even participating in competitions enhances resumes, develops critical soft skills, and provides networking opportunities with industry professionals.
Advanced Stage
Develop a Capstone Project (Minor Project)- (Semester 6)
Undertake a significant final year project, integrating knowledge from multiple subjects like web designing, databases, and programming languages (Python). Focus on a functional product with clear problem-solving and well-documented code.
Tools & Resources
Integrated Development Environments (e.g., PyCharm, VS Code), Cloud platforms (e.g., Heroku, Netlify for deployment), Version Control (Git)
Career Connection
A strong capstone project is the most critical component of a resume for final placements, demonstrating comprehensive skills and initiative.
Intensive Placement Preparation and Skill Refinement- (Semester 6)
Focus on aptitude tests, technical interview questions (DSA, OS, DBMS, CN), and soft skills for campus placements. Practice mock interviews and group discussions. Identify and bridge any skill gaps, especially in popular frameworks or advanced Python libraries.
Tools & Resources
Placement preparation books (e.g., ''''Cracking the Coding Interview''''), Online aptitude platforms, College placement cell workshops
Career Connection
Directly prepares students for job interviews and ensures they are industry-ready for entry-level roles in India''''s competitive job market.
Specialized Skill Acquisition and Networking- (Semester 6)
Identify a niche area (e.g., Machine Learning basics, Android development, Cloud computing fundamentals) and gain introductory skills through online courses or workshops. Actively network with alumni and industry experts through LinkedIn and college events.
Tools & Resources
Coursera, NPTEL, Udemy for specialized courses, LinkedIn, Alumni network
Career Connection
Specialized skills make candidates more attractive for specific roles, while networking can open doors to opportunities not advertised publicly.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) examination with Science stream (Mathematics/Computer Science/Physics) from any recognized board.
Duration: 3 years / 6 semesters
Credits: Credits not specified
Assessment: Internal: 25% (25 Marks), External: 75% (75 Marks)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C010101T | Fundamentals of Computers and Programming in C | Core Theory | 4 | Computer Fundamentals, Introduction to C Programming, Data Types and Operators, Control Statements (Loops, Conditionals), Functions and Pointers, Arrays and Strings |
| C010101P | Computer Programming Lab (C) | Core Practical | 2 | Basic C Program Development, Conditional and Looping Constructs, Function Implementation, Array and String Manipulation, Pointer Usage |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C020101T | Data Structures using C | Core Theory | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| C020101P | Data Structures Lab | Core Practical | 2 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Representation, Sorting and Searching Program Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030101T | Database Management System | Core Theory | 4 | Introduction to DBMS, ER Model and Relational Model, Relational Algebra, SQL Queries, Normalization, Transaction Management |
| C030101P | DBMS Lab | Core Practical | 2 | Database Creation using SQL, Data Definition and Manipulation Language, Join Operations, View Creation, Subqueries |
| C030201T | Operating Systems | Core Theory | 4 | Introduction to Operating Systems, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C040101T | Object-Oriented Programming using C++ | Core Theory | 4 | OOP Concepts, Classes and Objects, Constructors and Destructors, Inheritance, Polymorphism, Exception Handling |
| C040101P | OOP using C++ Lab | Core Practical | 2 | C++ Program Development, Class and Object Implementation, Inheritance Examples, Polymorphism Demonstrations, File Handling |
| C040201T | Computer Networks | Core Theory | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C050101T | Web Designing | Core Theory | 4 | HTML Fundamentals, CSS Styling, JavaScript Basics, Introduction to Web Servers, Responsive Web Design, Web Page Layouts |
| C050101P | Web Designing Lab | Core Practical | 2 | Creating HTML Pages, Applying CSS Styles, Adding JavaScript Interactivity, Developing Basic Web Projects, Form Handling |
| C050201T | Software Engineering | Core Theory | 4 | Software Development Life Cycle, Requirements Engineering, Software Design Concepts, Software Testing, Project Management, Software Maintenance |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C060101T | Python Programming | Core Theory | 4 | Python Basics, Data Structures in Python, Functions and Modules, File I/O, Object-Oriented Programming in Python, Exception Handling |
| C060101P | Python Programming Lab | Core Practical | 2 | Python Scripting, Data Analysis with Libraries, Web Scraping Basics, GUI Programming Concepts, Database Connectivity |
| C060301P | Minor Project / Dissertation | Project | 6 | Project Planning and Management, System Design, Implementation and Coding, Testing and Debugging, Documentation and Presentation |
