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B-SC in Computer Science at Veer Bahadur Singh Purvanchal University
Jaunpur, Uttar Pradesh
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About the Specialization
What is Computer Science at Veer Bahadur Singh Purvanchal University Jaunpur?
This B.Sc Computer Science program at Veer Bahadur Singh Purvanchal University focuses on foundational computer science principles and practical application development. It equips students with essential programming, data structures, web design, and database management skills. The curriculum is designed to meet the growing demand for skilled IT professionals in India, emphasizing both theoretical knowledge and hands-on experience relevant to various Indian technology sectors.
Who Should Apply?
This program is ideal for fresh 10+2 science graduates, especially those with a keen interest in logic, problem-solving, and technology. It caters to aspiring software developers, web designers, and database administrators looking for a strong academic foundation. Individuals aiming for entry-level roles in the burgeoning Indian IT and software services industry will find this program highly beneficial for kickstarting their careers.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Junior Software Developers, Web Developers, Database Administrators, or IT Support Specialists in India. Entry-level salaries typically range from INR 2.5 to 4.5 lakhs annually, with significant growth potential in MNCs and Indian tech startups. The curriculum also prepares students for higher studies like MCA or M.Sc. in Computer Science, further enhancing their career trajectories.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding core programming logic and syntax using C language. Regularly solve practice problems to build a strong base in data types, control flow, functions, and arrays.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, online C tutorials, university lab exercises
Career Connection
A solid foundation in C is crucial for understanding advanced languages and algorithms, which are fundamental for all software development roles and placement interviews.
Build Strong Office Automation Skills- (Semester 1-2)
Beyond basic usage, explore advanced features of MS-Word (macros, mail merge), MS-Excel (VLOOKUP, pivot tables, data analysis), and MS-PowerPoint (effective presentation design).
Tools & Resources
Microsoft Office official tutorials, online courses (e.g., Coursera, Udemy) for Excel mastery, practical projects involving data handling
Career Connection
Proficiency in office tools enhances productivity and is a desirable skill in almost any professional role, particularly for IT support, data entry, and project coordination.
Develop Problem-Solving Mindset- (Semester 1-2)
Engage in competitive programming challenges or solve logical puzzles regularly. Participate in university coding contests to improve analytical thinking and algorithmic skills.
Tools & Resources
TopCoder, LeetCode (for beginner problems), local college coding clubs
Career Connection
This practice directly translates to success in technical interviews, where problem-solving and algorithmic thinking are heavily tested, critical for securing software development positions.
Intermediate Stage
Deep Dive into Data Structures & Algorithms- (Semester 3-4)
Understand not just implementation but also the time and space complexity of various data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching). Practice solving medium-level DSA problems.
Tools & Resources
GeeksforGeeks DSA section, Abdul Bari''''s DSA lectures, LeetCode medium problems, university coursework
Career Connection
Mastery of DSA is a non-negotiable skill for product-based company interviews and efficient software design, opening doors to higher-paying tech roles.
Explore Object-Oriented Programming (OOP) Paradigms- (Semester 4-5)
Apply OOP concepts thoroughly using C++ and later Python. Work on small projects demonstrating inheritance, polymorphism, abstraction, and encapsulation principles.
Tools & Resources
C++ tutorials, Python OOP documentation, building mini-applications like a simple library management system or a game
Career Connection
OOP is the backbone of modern software engineering. Strong OOP skills are essential for developing scalable and maintainable applications, highly valued in corporate software development roles.
Build Foundational Web Development Skills- (Semester 5)
Actively practice HTML, CSS, and JavaScript by creating personal portfolio websites, interactive landing pages, or small web applications. Explore responsive design principles.
Tools & Resources
VS Code, MDN Web Docs, freeCodeCamp, W3Schools, building projects like a simple e-commerce page or blog
Career Connection
These skills are directly applicable to Front-end Developer, UI/UX Developer, or Full-stack Developer roles, which are in high demand across Indian tech companies and startups.
Advanced Stage
Specialize in Elective Domains- (Semester 5-6)
Based on chosen electives (Operating Systems, DBMS, Networking, Cyber Security), delve deeper into their concepts. For instance, build small database applications or explore network configurations.
Tools & Resources
Relevant software (MySQL, Wireshark, Linux VMs), advanced online courses, specialized textbooks
Career Connection
Specialization makes you a valuable asset. Strong skills in a specific domain like DBMS can lead to roles as Database Administrators, while Cyber Security skills can open doors to security analyst positions.
Undertake a Substantial Project- (Semester 6)
Collaborate with peers on a major project (as required in Semester 6). Focus on problem definition, system design, coding, testing, and documentation. Aim for a real-world application or solution.
Tools & Resources
Version control (Git/GitHub), project management tools (Trello, Jira), chosen programming languages and frameworks
Career Connection
A well-executed project demonstrates practical skills, teamwork, and problem-solving abilities to potential employers, significantly boosting placement chances and providing valuable portfolio experience.
Prepare for Placements and Higher Education- (Semester 6)
Actively participate in campus placement drives, prepare resumes, practice aptitude tests, and mock interviews. For those interested in higher studies, research entrance exams like MCA/NIMCET or competitive exams.
Tools & Resources
Placement cell guidance, online aptitude test platforms, interview preparation books, career counseling
Career Connection
This final stage directly prepares students for their career launch, whether entering the workforce or pursuing advanced academic qualifications, ensuring a smooth transition post-graduation.
Program Structure and Curriculum
Eligibility:
- 10+2 (Intermediate) with Science stream (preferably with Mathematics) from a recognized board.
Duration: 3 years (6 semesters)
Credits: 160 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040101T | Computer Fundamentals and Office Automation | Core | 4 | Basic Computer Organization, Input/Output Devices, Memory Hierarchy, Number Systems, Operating System Concepts, MS-Word, MS-Excel, MS-PowerPoint |
| A040101P | Computer Fundamentals and Office Automation Lab | Lab | 2 | Document Formatting, Spreadsheet Functions, Presentation Design, File Management, Internet Usage |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040201T | Programming Using ''''C'''' | Core | 4 | C Language Fundamentals, Operators and Expressions, Control Statements, Functions, Arrays, Pointers, Structures and Unions, File Handling |
| A040201P | Programming Using ''''C'''' Lab | Lab | 2 | C Program Development, Conditional Statements, Looping Constructs, Function Implementation, Array Manipulation, Pointer Usage, Structure Operations |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040301T | Data Structure | Core | 4 | Array and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms, Hashing Techniques |
| A040301P | Data Structure Lab | Lab | 2 | Array Implementations, Stack Operations, Queue Operations, Linked List Manipulations, Tree Traversal, Graph Algorithms, Sorting and Searching |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040401T | Object-Oriented Programming Using C++ | Core | 4 | OOP Concepts, Classes and Objects, Constructors/Destructors, Inheritance, Polymorphism, Operator Overloading, Virtual Functions, Exception Handling |
| A040401P | Object-Oriented Programming Using C++ Lab | Lab | 2 | Class and Object Implementation, Inheritance Examples, Polymorphism Techniques, Operator Overloading Programs, Virtual Function Usage, Exception Handling Routines |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040501T | Web Designing | Core | 4 | HTML Structure, CSS Styling, JavaScript Fundamentals, DOM Manipulation, Web Forms, Responsive Design |
| A040501P | Web Designing Lab | Lab | 2 | HTML Page Creation, CSS Styling Implementation, JavaScript Interactivity, Form Validation, Basic Web Layouts |
| A040502T | Operating System | Elective | 4 | Operating System Functions, Process Management, CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems |
| A040502P | Operating System Lab | Lab | 2 | Linux Commands, Shell Scripting, Process Creation, CPU Scheduling Simulation, Memory Management Techniques |
| A040503T | Database Management System | Elective | 4 | Database Concepts, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| A040503P | Database Management System Lab | Lab | 2 | DDL Commands, DML Commands, SQL Queries, Joins and Constraints, Stored Procedures, Triggers |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040601T | Python Programming | Core | 4 | Python Fundamentals, Data Structures (lists, tuples, dict), Functions, Modules, Packages, File I/O and Exception Handling, Object-Oriented Programming in Python, Database Access |
| A040601P | Python Programming Lab | Lab | 2 | Basic Python Programs, List and Dictionary Operations, Function Development, Module Usage, File Handling, Class and Object Implementation |
| A040602T | Computer Networks | Elective | 4 | Network Topologies, OSI and TCP/IP Model, Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| A040602P | Computer Networks Lab | Lab | 2 | Network Configuration, Packet Tracing, Socket Programming, Network Monitoring Tools, Client-Server Communication |
| A040603T | Cyber Security | Elective | 4 | Security Threats and Vulnerabilities, Cryptography and Steganography, Network Security, Web Security, Cyber Laws and Ethics, Ethical Hacking Basics |
| A040603P | Cyber Security Lab | Lab | 2 | Password Cracking Tools, Cryptography Implementation, Firewall Configuration, Network Scanning, Vulnerability Assessment |
| A040604P | Project Work | Project | 4 | Project Planning, System Design and Analysis, Implementation and Coding, Testing and Debugging, Documentation and Presentation |
