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B-SC in Computer Science at Girls Degree College, Bilgram
Hardoi, Uttar Pradesh
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About the Specialization
What is Computer Science at Girls Degree College, Bilgram Hardoi?
This Computer Science program at Girls Degree College, Hardoi focuses on fundamental and advanced computing concepts, aligning with the Chhatrapati Shahu Ji Maharaj University (CSJMU) NEP 2020 framework. It provides a robust foundation in programming, data structures, databases, operating systems, and emerging areas like AI and Data Science, crucial for India''''s rapidly expanding IT sector. The curriculum aims to equip students with theoretical knowledge and practical skills for real-world applications.
Who Should Apply?
This program is ideal for 10+2 science stream graduates with a keen interest in logical problem-solving and technology. It caters to fresh graduates seeking entry into the software development, data analysis, or IT support fields, and those aspiring for higher education in computer applications. Individuals passionate about programming, system design, and cutting-edge technologies will find this curriculum engaging and career-oriented.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Junior Developers, Data Analysts, IT Support Specialists, or Software Testers. Entry-level salaries typically range from INR 2.5 LPA to 4.5 LPA, with significant growth potential in metropolitan and tier-2 cities. The strong theoretical base and practical exposure prepare students for competitive roles in Indian tech companies and for pursuing MCA or M.Sc. in Computer Science.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to practice C programming concepts like loops, functions, arrays, and pointers. Solve at least 3-4 coding problems daily on online platforms to build strong logical thinking and problem-solving skills.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, C programming textbooks
Career Connection
Strong C programming forms the bedrock for understanding data structures and algorithms, essential for cracking technical interviews for entry-level developer roles.
Build Foundational Data Structures- (Semester 2)
Understand and implement fundamental data structures like linked lists, stacks, queues, and trees using C. Visualize their working and analyze time/space complexity. Participate in weekly problem-solving sessions with peers.
Tools & Resources
Visualgo.net, LeetCode (easy problems), NPTEL lectures on Data Structures
Career Connection
Proficiency in data structures is a primary screening criterion for software engineering roles in top Indian IT companies and startups.
Develop Strong Study Habits & Peer Learning- (Semester 1-2)
Form small study groups to discuss complex topics, share notes, and prepare for exams. Actively participate in class, ask questions, and attend departmental workshops to clarify concepts and foster collaborative learning.
Tools & Resources
College library, common study areas, department faculty office hours
Career Connection
Enhances communication skills, ability to work in teams, and deeper conceptual understanding, which are valuable soft skills sought by employers.
Intermediate Stage
Engage in Object-Oriented Project Development- (Semester 3-4)
Apply OOP principles using Java to develop small-to-medium scale projects. Focus on designing modular, reusable, and efficient code. Collaborate on group projects to simulate real-world team environments.
Tools & Resources
GitHub for version control, IntelliJ IDEA/Eclipse IDE, Coursera/Udemy project courses
Career Connection
Practical project experience is crucial for showcasing skills to recruiters, especially for Java Developer roles. Version control is an industry standard.
Explore Database Management and SQL- (Semester 4)
Master SQL queries, database design (ER models, normalization), and practical database operations. Complete mini-projects involving database integration with programming languages (e.g., Java with MySQL).
Tools & Resources
MySQL Workbench, PostgreSQL, SQLZoo, freeCodeCamp SQL curriculum
Career Connection
Essential for roles like Database Administrator, Backend Developer, Data Analyst, where database interaction is a core responsibility.
Pursue Certifications and Online Courses- (Semester 3-5)
Complement university learning with relevant online certifications in areas like Python, Java, or specific technologies. This demonstrates proactive learning and can differentiate a resume.
Tools & Resources
NPTEL, Coursera, Udemy, edX, Microsoft Certified: Python Programmer
Career Connection
Industry-recognized certifications validate skills, broaden technical knowledge, and significantly improve employability in the competitive Indian job market.
Advanced Stage
Undertake a Significant Major Project- (Semester 6)
Identify a real-world problem or a research area for your major project. Focus on innovative solutions, robust implementation, and detailed documentation. Seek faculty mentorship and present your work professionally.
Tools & Resources
Advanced IDEs, project management software (Jira, Trello), GitHub for project portfolio, research papers
Career Connection
A well-executed major project serves as a strong portfolio item, demonstrating problem-solving, technical depth, and project management skills to potential employers during placements.
Engage in Internship/Industrial Training- (Semester 5-6 (or during breaks))
Actively search for and complete internships in IT companies or startups. Gain hands-on experience in a professional environment, network with industry professionals, and apply theoretical knowledge to practical scenarios.
Tools & Resources
College placement cell, LinkedIn, Internshala, company career pages
Career Connection
Internships are often a direct gateway to full-time employment and provide invaluable real-world experience, significantly boosting employability and understanding of corporate culture in India.
Focus on Placement Preparation & Interview Skills- (Semester 6)
Regularly practice aptitude, logical reasoning, and verbal ability questions. Prepare for technical interviews by reviewing core CS concepts and practicing coding challenges. Develop strong communication and soft skills for HR rounds.
Tools & Resources
Placement preparation books, online platforms (IndiaBix, PrepInsta), mock interviews, college training and placement cell
Career Connection
Direct preparation for campus recruitment drives and off-campus interviews, maximizing chances of securing a desirable job upon graduation in the Indian IT landscape.
Program Structure and Curriculum
Eligibility:
- 10+2 with Science stream (Physics, Chemistry, Mathematics or Computer Science) from a recognized board.
Duration: 3 years / 6 semesters
Credits: 70 (for Computer Science Major specialization) Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040101T | Computer Fundamentals & Programming in C | Major Core Theory | 4 | Introduction to Computers, Number Systems, Algorithms and Flowcharts, C Language Basics, Operators and Expressions, Control Statements and Functions |
| A040101P | Programming in C Lab | Major Core Practical | 2 | C Program Execution, Conditional Statements Implementation, Loop Structures and Functions, Array and String Operations, Pointer Usage in C |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040201T | Data Structure using C | Major Core Theory | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Techniques |
| A040201P | Data Structure using C Lab | Major Core Practical | 2 | Implementation of Arrays and Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Programs |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040301T | Object Oriented Programming using Java | Major Core Theory | 4 | OOP Concepts, Java Language Basics, Classes, Objects, and Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling and Multithreading |
| A040301P | Object Oriented Programming Lab | Major Core Practical | 2 | Java Program Development, Class and Object Creation, Inheritance and Polymorphism Implementation, Exception Handling in Java, Thread Management |
| A040302T | Operating System | Major Core Theory | 4 | OS Introduction and Types, Process Management, CPU Scheduling Algorithms, Deadlocks, Memory Management, File Systems and I/O Systems |
| A040302P | UNIX/Linux Lab | Major Core Practical | 2 | Basic UNIX/Linux Commands, File System Navigation, Process Management Commands, Shell Scripting, User Management |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040401T | Database Management System | Major Core Theory | 4 | DBMS Concepts and Architecture, Data Models (ER, Relational), Relational Algebra and Calculus, SQL Queries and Commands, Normalization, Transaction Management |
| A040401P | DBMS Lab (SQL/PL-SQL) | Major Core Practical | 2 | SQL Data Definition and Manipulation, Joining Tables and Views, Stored Procedures and Functions, Triggers and Cursors, Database Design Exercises |
| A040402T | Software Engineering | Major Core Theory | 4 | Software Development Life Cycle, Requirement Engineering, Software Design Principles, Software Testing Techniques, Software Project Management, Software Quality Assurance |
| A040402P | Software Engineering Lab | Major Core Practical | 2 | Project Planning and Documentation, Requirement Specification (SRS), UML Diagrams for Design, Test Case Generation, Agile Methodology Tools |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040501T | Computer Networks | Major Core Theory | 4 | Network Topologies and Models (OSI/TCP-IP), Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols, Network Security Basics |
| A040501P | Computer Network Lab | Major Core Practical | 2 | Network Configuration, Packet Analysis using Wireshark, Socket Programming, Network Commands (ping, tracert), Client-Server Communication |
| A040502T | Programming in Python | Discipline Specific Elective (DSE) 1 Theory | 4 | Python Language Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, Object-Oriented Programming in Python, File Handling |
| A040502P | Programming in Python Lab | Discipline Specific Elective (DSE) 1 Practical | 2 | Python Program Development, List, Tuple, Dictionary Operations, Function and Module Implementation, File I/O Operations, OOP Concepts in Python |
| A040503P | Mini Project | Major Practical / Project | 4 | Project Proposal Development, System Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| A040601T | Artificial Intelligence | Major Core Theory | 4 | Introduction to AI, Intelligent Agents, Problem Solving (Search Algorithms), Knowledge Representation, Machine Learning Basics, Natural Language Processing Fundamentals |
| A040601P | Artificial Intelligence Lab | Major Core Practical | 2 | Implementation of Search Algorithms (BFS, DFS), AI Problem Solving using Python, Knowledge Representation Techniques, Simple Machine Learning Models |
| A040602T | Data Science | Discipline Specific Elective (DSE) 2 Theory | 4 | Introduction to Data Science, Data Preprocessing and Cleaning, Exploratory Data Analysis, Statistical Concepts for Data Science, Machine Learning Algorithms Overview, Data Visualization Techniques |
| A040602P | Data Science Lab | Discipline Specific Elective (DSE) 2 Practical | 2 | Data Loading and Manipulation with Pandas, Numerical Computing with NumPy, Data Visualization using Matplotlib/Seaborn, Implementation of ML Algorithms (Regression, Classification), Basic Statistical Analysis |
| A040603P | Major Project | Major Practical / Project | 6 | Advanced Project Planning and Management, System Design and Implementation, Rigorous Testing and Debugging, Comprehensive Project Report Writing, Professional Project Presentation and Viva |
