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B-SC in Computer Science at Rajkeeya Mahavidyalay Ravindra Kishore Shahi, Patherdeva, Deoria
Deoria, Uttar Pradesh
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About the Specialization
What is Computer Science at Rajkeeya Mahavidyalay Ravindra Kishore Shahi, Patherdeva, Deoria Deoria?
This B.Sc. Computer Science program at Rajkeeya Mahavidyalay Ravindra Kishore Shahi, affiliated with DDUGU Gorakhpur, focuses on building a strong foundation in core computer science principles. It aligns with the NEP 2020, offering a multidisciplinary approach with specialized knowledge in programming, data structures, databases, and operating systems. The program equips students with essential computational thinking and problem-solving skills, highly relevant in India''''s booming digital economy.
Who Should Apply?
This program is ideal for recent 10+2 science graduates with a keen interest in technology and logical reasoning, aspiring to build a career in the IT sector. It suits individuals seeking entry-level developer, data entry, IT support, or system administration roles. It also benefits those aiming for higher education, like MCA or specialized M.Sc. programs, providing a robust academic base.
Why Choose This Course?
Graduates of this program can expect to pursue various career paths within the Indian IT landscape, including Junior Developer, Software Tester, Database Assistant, or Web Designer. Entry-level salaries typically range from INR 2.5 to 4 LPA, with significant growth potential into mid-level roles (INR 6-10 LPA) with experience. The foundational knowledge acquired also prepares students for competitive government job examinations in the technology domain.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with C- (Semester 1-2)
Diligently practice C programming concepts covered in lectures and labs. Focus on logic building, control structures, functions, and arrays by solving a minimum of 5-7 problems daily.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, Let Us C by Yashavant Kanetkar
Career Connection
Strong C foundation is crucial for understanding data structures and operating systems, forming the bedrock for any programming role.
Develop Strong Data Structure Concepts- (Semester 2)
Understand the working of various data structures (arrays, linked lists, stacks, queues, trees) and their real-world applications. Practice implementing them from scratch and analyzing their time/space complexity.
Tools & Resources
NPTEL courses on Data Structures, YouTube tutorials (e.g., Love Babbar), Visualgo.net, Data Structures and Algorithms Made Easy
Career Connection
Data structures are fundamental for competitive programming and are heavily tested in technical interviews for software development roles.
Active Participation in Lab Sessions & Peer Learning- (Semester 1-2)
Treat lab sessions as opportunities for hands-on learning, not just completing assignments. Collaborate with peers to debug code, discuss problem-solving approaches, and teach each other concepts.
Tools & Resources
College computer labs, departmental study groups, online forums for discussion
Career Connection
Enhances practical coding skills, teamwork, and communication, all vital in software development teams.
Intermediate Stage
Build Object-Oriented Programming (OOP) Proficiency- (Semester 3-4)
Go beyond syntax in C++ or Java and grasp core OOP principles (Encapsulation, Inheritance, Polymorphism, Abstraction). Apply these in small project scenarios.
Tools & Resources
Udemy/Coursera courses on OOP, Head First Java/C++ books, developing simple console-based applications
Career Connection
OOP is a cornerstone of modern software development; mastery is essential for roles in application development.
Gain Expertise in Database Management (SQL)- (Semester 4)
Practice SQL extensively – DDL, DML, DCL commands, joins, subqueries, stored procedures. Understand database design principles and normalization.
Tools & Resources
MySQL Workbench, PostgreSQL, SQLZoo, W3Schools SQL tutorial
Career Connection
Opens doors to roles like Database Administrator, Data Analyst (entry-level), Backend Developer, where database interaction is critical.
Explore Electives with Practical Projects- (Semester 5)
If given choices in Semester 5 (e.g., Web Technology, Python), pick one based on interest and industry demand. Build a mini-project applying the learned concepts (e.g., a simple website, a Python script for data automation).
Tools & Resources
Relevant IDEs (VS Code, PyCharm), online documentation for chosen technology, GitHub for version control
Career Connection
Specialization helps in targeting specific job roles. Projects demonstrate practical skills and are valuable for resumes.
Advanced Stage
Undertake a Significant Major Project- (Semester 6)
Collaborate on a substantial project (academic or open-source) during Semester 6. Apply concepts from multiple subjects (e.g., Java for backend, RDBMS for database, web tech for frontend). Focus on project planning, implementation, and documentation.
Tools & Resources
GitHub, project management tools (Trello, Asana), collaboration platforms, faculty mentorship
Career Connection
A strong project portfolio is crucial for placements, showcasing problem-solving abilities and practical application of knowledge.
Intensive Placement Preparation & Skill Refinement- (Semester 6)
Dedicate time to solve coding problems on platforms frequently used by recruiters (LeetCode, HackerRank). Prepare for technical interviews by reviewing core CS concepts and practicing aptitude tests.
Tools & Resources
LeetCode, InterviewBit, GeeksforGeeks interview experiences, online aptitude test platforms
Career Connection
Directly targets successful placement in IT companies, ensuring readiness for technical and HR rounds.
Network and Explore Industry Trends- (Semester 6)
Attend college workshops, webinars, and local tech meetups (if available) to understand current industry trends and technologies. Connect with alumni and professionals on LinkedIn for insights and mentorship.
Tools & Resources
LinkedIn, college alumni network, industry blogs and news sites
Career Connection
Helps in making informed career choices, discovering new opportunities, and building a professional network that can aid in job search and career growth.
Program Structure and Curriculum
Eligibility:
- 10+2 in Science stream (Physics, Chemistry, Mathematics or Biology) from a recognized board.
Duration: 3 years / 6 semesters (for B.Sc. Degree, option for 4th year Hons/Research exists)
Credits: 132 (for 3-year B.Sc. Degree) Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030101T | FUNDAMENTALS OF COMPUTER & PROGRAMMING IN C | Core Theory (Major) | 4 | Introduction to Computers, Number Systems & Boolean Algebra, Operating Systems Fundamentals, C Programming Basics, Control Flow & Functions, Arrays & Pointers |
| C030101P | C PROGRAMMING LAB | Core Practical (Major) | 2 | Practical C Programming, Conditional Statements & Loops, Function Implementation, Array Operations, String Manipulation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030201T | DATA STRUCTURES USING C | Core Theory (Major) | 4 | Introduction to Data Structures, Arrays & Linked Lists, Stacks & Queues, Trees & Graphs, Searching & Sorting Algorithms |
| C030201P | DATA STRUCTURES LAB | Core Practical (Major) | 2 | Implementation of Data Structures, Stack and Queue Operations, Linked List Manipulations, Tree Traversal Algorithms, Sorting and Searching Algorithms |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030301T | OBJECT ORIENTED PROGRAMMING USING C++ | Core Theory (Major) | 4 | OOPs Concepts & Principles, Classes, Objects & Constructors, Inheritance & Polymorphism, Operator Overloading & Virtual Functions, Exception Handling & File I/O |
| C030301P | OOPS USING C++ LAB | Core Practical (Major) | 2 | C++ Class and Object Implementation, Inheritance and Polymorphism Exercises, Friend Functions & Operator Overloading, File Handling Programs |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030401T | RELATIONAL DATABASE MANAGEMENT SYSTEMS | Core Theory (Major) | 4 | Database System Concepts, ER Model & Relational Model, Relational Algebra & Calculus, Structured Query Language (SQL), Normalization & Transaction Management |
| C030401P | RDBMS LAB | Core Practical (Major) | 2 | SQL DDL, DML, DCL Commands, Join Operations & Subqueries, Views, Stored Procedures & Triggers, Database Design Practices |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030501T | OPERATING SYSTEM | Discipline Specific Core Theory (Major) | 4 | Operating System Overview, Process Management & Scheduling, Deadlocks & Concurrency, Memory Management & Virtual Memory, File Systems & I/O Systems |
| C030501P | OPERATING SYSTEM LAB | Discipline Specific Core Practical (Major) | 2 | Linux/Unix Commands & Shell Scripting, Process Management in OS, CPU Scheduling Algorithm Simulation, Deadlock Detection Algorithms |
| C030502T | WEB TECHNOLOGY (DSEC Option A) | Discipline Specific Elective Theory (Major) | 4 | Web Fundamentals: HTML, CSS, Client-Side Scripting: JavaScript, Web Servers & HTTP, PHP Basics & Form Handling, Database Connectivity with MySQL |
| C030502P | WEB TECHNOLOGY LAB (DSEC Option A) | Discipline Specific Elective Practical (Major) | 2 | HTML & CSS Website Design, JavaScript for Client-Side Interaction, PHP Scripting for Dynamic Content, Database Integration for Web Applications |
| C030503T | PROGRAMMING IN PYTHON (DSEC Option B) | Discipline Specific Elective Theory (Major) | 4 | Python Fundamentals & Data Types, Control Flow & Functions, Modules & Packages, File Handling & Exception Handling, Object-Oriented Programming in Python |
| C030503P | PYTHON LAB (DSEC Option B) | Discipline Specific Elective Practical (Major) | 2 | Basic Python Scripting, Data Structure Implementation in Python, File Operations, Object-Oriented Programming Exercises |
| C030504 | MINI PROJECT | Project | 2 | Problem Identification, System Design, Implementation & Testing, Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030601T | JAVA PROGRAMMING | Discipline Specific Core Theory (Major) | 4 | Java Language Fundamentals, Object-Oriented Programming in Java, Packages, Interfaces & Exception Handling, Multithreading & GUI Programming (AWT/Swing), Database Connectivity (JDBC) |
| C030601P | JAVA PROGRAMMING LAB | Discipline Specific Core Practical (Major) | 2 | Java OOPs Implementation, Exception Handling & Multithreading Programs, GUI Application Development, JDBC Database Operations |
| C030602T | COMPUTER NETWORKS (DSEC Option A) | Discipline Specific Elective Theory (Major) | 4 | Network Models (OSI, TCP/IP), Physical Layer & Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer & Network Security Basics |
| C030602P | COMPUTER NETWORKS LAB (DSEC Option A) | Discipline Specific Elective Practical (Major) | 2 | Network Configuration Commands, Socket Programming Basics, Network Packet Analysis Tools, Simulating Network Protocols |
| C030603T | ARTIFICIAL INTELLIGENCE (DSEC Option B) | Discipline Specific Elective Theory (Major) | 4 | Introduction to AI, Problem Solving & Search Algorithms, Knowledge Representation & Reasoning, Machine Learning Basics, Expert Systems & Natural Language Processing |
| C030603P | AI LAB (DSEC Option B) | Discipline Specific Elective Practical (Major) | 2 | Implementing Search Algorithms, Knowledge Representation Techniques, Basic Machine Learning Models, Simple AI Agent Development |
| C030604 | MAJOR PROJECT | Project | 4 | Project Planning & Management, System Analysis & Design, Advanced Implementation & Debugging, Project Documentation & Presentation |
