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B-SC in Computer Science at GAUTAM BUDH MAHAVIDYALAYA SAHIYAPUR
Kannauj, Uttar Pradesh
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About the Specialization
What is Computer Science at GAUTAM BUDH MAHAVIDYALAYA SAHIYAPUR Kannauj?
This B.Sc. Computer Science program at Gautam Budh Mahavidyalaya, affiliated with CSJMU, focuses on building a strong foundation in core computer science principles. It aligns with the National Education Policy 2020, emphasizing practical skills and theoretical knowledge relevant to the rapidly evolving Indian IT landscape, preparing students for diverse roles in the burgeoning technology sector of India.
Who Should Apply?
This program is ideal for high school graduates with a science background, particularly those with a keen interest in logical problem-solving, programming, and understanding how technology works. It suits freshers aspiring to launch careers in software development, data management, or networking. Individuals seeking a robust undergraduate degree before pursuing higher studies like MCA or M.Sc. in Computer Science will also find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue entry-level roles as Junior Developers, System Administrators, Data Entry Operators, or IT Support Specialists in Indian companies. Starting salaries typically range from INR 2.5 to 4 LPA, with significant growth potential for experienced professionals. The curriculum provides a strong base for further specialization and aligns with industry certifications in areas like programming, databases, and networking.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time to understanding C and C++ syntax, data structures, and object-oriented programming concepts. Practice coding daily on platforms beyond assignments to build strong problem-solving logic.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, W3Schools
Career Connection
A solid grasp of programming is the bedrock for all software development roles, enabling students to excel in technical interviews for junior developer or intern positions.
Build Foundational Digital Literacy & Networking Skills- (Semester 1-2)
Go beyond theoretical knowledge of computer fundamentals and data communication. Experiment with basic networking commands, understand IP addressing practically, and explore operating system interfaces. Participate in college''''s IT/CS clubs.
Tools & Resources
Cisco Packet Tracer, Linux command line tutorials, basic system administration guides, LinkedIn
Career Connection
Essential for roles like Network Administrator, System Support, and lays the groundwork for understanding IT infrastructure in any organization.
Develop Strong Academic Habits & Peer Learning- (Semester 1-2)
Form study groups with peers to discuss complex topics, share insights, and collaboratively solve problems. Regularly attend lectures, clarify doubts with faculty, and maintain well-organized notes to ensure consistent academic performance.
Tools & Resources
Google Meet, shared Google Docs, college library resources
Career Connection
Strong academic performance is crucial for securing good internships and placements, and collaborative skills are vital in team-based software projects.
Intermediate Stage
Deep Dive into Databases & Operating Systems- (Semester 3-4)
Beyond SQL, understand database design principles, normalization, and transaction management. For OS, get hands-on with Linux commands and scripting, exploring process and memory management concepts practically.
Tools & Resources
MySQL/PostgreSQL, SQLite, Linux distributions (Ubuntu/CentOS), VirtualBox/VMware
Career Connection
Crucial for database administration, backend development, DevOps, and system engineering roles prevalent in Indian tech companies.
Acquire Industry-Relevant Programming Skills (Python) & Web Fundamentals- (Semester 4-5)
Master Python, focusing on its application in scripting, data manipulation, and web development. Simultaneously, build practical web pages using HTML, CSS, and JavaScript. Consider building small personal projects.
Tools & Resources
PyCharm/VS Code, Django/Flask (for Python web), HTML, CSS, JavaScript, GitHub
Career Connection
Python is a dominant language in data science, AI/ML, and web development. Web skills are fundamental for frontend and full-stack developer roles, offering high employability in India.
Seek Internship/Project Opportunities & Participate in Tech Events- (Semester 4-5)
Actively look for summer internships, even unpaid ones, to gain practical exposure. Participate in college-level hackathons, coding contests, or technical workshops to apply learned skills and build a portfolio.
Tools & Resources
Internshala, LinkedIn, college placement cell, local tech meetups
Career Connection
Internships provide real-world experience, a critical differentiator for placements, and often lead to pre-placement offers. Competition exposure hones problem-solving under pressure.
Advanced Stage
Specialize through Electives & Advanced Project Work- (Semester 5-6)
Choose electives wisely based on career interests (e.g., AI, Data Mining, .NET). For the final year project, select a challenging problem and implement a comprehensive solution, focusing on best practices and documentation.
Tools & Resources
Specific IDEs/frameworks for chosen elective (e.g., TensorFlow/Keras for AI, Visual Studio for .NET), Git
Career Connection
Specialization makes you a desirable candidate for specific tech roles, while a strong final project showcases problem-solving, development, and teamwork skills to potential employers.
Focus on Interview Preparation & Soft Skills Development- (Semester 5-6)
Dedicate time to practicing technical interview questions (DSA, OS, DBMS) and participate in mock interviews. Simultaneously, work on communication, presentation, and teamwork skills, which are crucial for professional success.
Tools & Resources
LeetCode, InterviewBit, Pramp, online courses on communication/presentation skills
Career Connection
Direct impact on placement success; strong soft skills distinguish candidates in a competitive job market and are essential for career growth in any Indian company.
Build a Professional Portfolio & Network Strategically- (Semester 5-6)
Compile all projects, internships, and certifications into a well-presented online portfolio (e.g., GitHub, personal website). Attend industry seminars, connect with professionals on LinkedIn, and leverage alumni networks for mentorship and job leads.
Tools & Resources
GitHub Pages, personal website builders, LinkedIn, college alumni association
Career Connection
A compelling portfolio provides tangible evidence of skills, while networking opens doors to opportunities not advertised, facilitating smoother entry into the Indian tech industry.
Program Structure and Curriculum
Eligibility:
- 10+2 with Science stream (Physics, Chemistry, Mathematics/Computer Science) from a recognized board (General eligibility for UP universities, not from specific syllabus document)
Duration: 3 years / 6 semesters
Credits: 86 (for Computer Science Major subjects only) Credits
Assessment: Internal: 25% (Mid-Term/Practical Internal), External: 75% (End-Term Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C010101T | Computer Fundamentals & Programming in C | Core Theory | 4 | Introduction to Computers, Number Systems, Algorithms & Flowcharts, Programming in C, Control Statements, Functions, Arrays, Pointers, Strings |
| C010102T | Data Communication & Networks | Core Theory | 4 | Data Communication Concepts, Network Topologies, OSI & TCP/IP Models, Transmission Media, Data Link Layer, Network Devices |
| C010103P | Programming in C Lab | Core Practical | 2 | C program execution, Conditional statements, Loops and Functions, Arrays and Pointers, String manipulation, File handling |
| C010104P | Data Communication & Networks Lab | Core Practical | 2 | Network Cabling, IP addressing & Subnetting, Network protocols simulation, Router/Switch configurations, Network security tools |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C010201T | Data Structure using C | Core Theory | 4 | Introduction to Data Structures, Arrays, Stacks, Queues, Linked Lists, Trees and Graphs, Searching and Sorting Algorithms |
| C010202T | Object Oriented Programming Using C++ | Core Theory | 4 | OOP Concepts, Classes & Objects, Constructors/Destructors, Inheritance & Polymorphism, Virtual Functions, Exception Handling, File I/O |
| C010203P | Data Structure using C Lab | Core Practical | 2 | Array operations, Stack/Queue implementation, Linked list operations, Tree traversal, Graph algorithms, Search algorithms |
| C010204P | Object Oriented Programming Using C++ Lab | Core Practical | 2 | Class and object creation, Inheritance and Polymorphism, Operator overloading, Function overloading, Templates, Exception handling |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C020301T | Database Management System | Core Theory | 4 | DBMS Architecture, ER & Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| C020302T | Operating System | Core Theory | 4 | OS Functions, Process Management, CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems |
| C020303P | Database Management System Lab | Core Practical | 2 | SQL DDL/DML, Joins and Views, Stored Procedures, Triggers, Database creation and manipulation |
| C020304P | Operating System Lab | Core Practical | 2 | Shell scripting, Process creation and termination, CPU scheduling algorithms, Memory management simulation, File system commands |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C020401T | Python Programming | Core Theory | 4 | Python Basics, Data Types & Control Structures, Functions and Modules, Object-Oriented Programming in Python, File Handling, Exception Handling |
| C020402T | Computer Architecture | Core Theory | 4 | Digital Logic Gates, Combinational/Sequential Circuits, Data Representation, CPU Organization, Memory Hierarchy, I/O Organization |
| C020403P | Python Programming Lab | Core Practical | 2 | Python program development, Data structures in Python, Functions and Classes, Modules and Packages, File operations, Basic web scraping |
| C020404P | Computer Architecture Lab | Core Practical | 2 | Logic gate implementation, Adders/Subtractors, Flip-flops and Registers, Counter design, Basic CPU simulation, Assembly language concepts |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030501T | Theory of Computation | Core Theory | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| C030502T | Web Technology | Core Theory | 4 | HTML, CSS, JavaScript, DOM and XML, AJAX, Web Servers, Web Security Basics, Responsive Design |
| C030503ET | Computer Graphics | Elective Theory (DSE-1) | 4 | Graphics Primitives, 2D/3D Transformations, Viewing and Clipping, Projections, Shading and Illumination Models |
| C030504ET | Introduction to Big Data | Elective Theory (DSE-2) | 4 | Big Data Characteristics, Hadoop Ecosystem, HDFS and MapReduce, NoSQL Databases, Data Analytics Concepts |
| C030505ET | Microprocessor & Interfacing | Elective Theory (DSE-3) | 4 | 8085/8086 Microprocessor Architecture, Instruction Set, Assembly Language Programming, Memory Interfacing, I/O Interfacing |
| C030506P | Web Technology Lab | Core Practical | 2 | HTML page creation, CSS styling, JavaScript functionalities, Form validation, Responsive web design |
| C030507EP | Elective Practical (based on DSE chosen) | Elective Practical | 2 | Practical application of chosen DSE theory, Computer Graphics drawing algorithms (if DSE1 chosen), Hadoop commands (if DSE2 chosen), Microprocessor assembly programs (if DSE3 chosen) |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030601T | Software Engineering | Core Theory | 4 | Software Life Cycle Models, Requirements Engineering, Design Concepts, Software Testing, Software Maintenance, Project Management |
| C030602T | Artificial Intelligence | Core Theory | 4 | AI Fundamentals, Problem Solving & Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing, Expert Systems |
| C030603ET | Dot Net Technology | Elective Theory (DSE-1) | 4 | .NET Framework, C# Language, ASP.NET, ADO.NET, Web Forms, MVC Architecture, Database Connectivity |
| C030604ET | Data Mining & Warehousing | Elective Theory (DSE-2) | 4 | Data Warehousing Concepts, OLAP, Data Preprocessing, Association Rules, Classification & Clustering, Data Mining Applications |
| C030605ET | Compiler Design | Elective Theory (DSE-3) | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| C030606P | Artificial Intelligence Lab | Core Practical | 2 | AI programming in Python/Prolog, Search algorithm implementation, Knowledge representation using rules, Machine learning library usage |
| C030607PJ | Project Work | Project | 6 | Problem identification, Requirements gathering, System design and implementation, Testing and debugging, Documentation and presentation |
