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BSC in Computer Science at Seshachala Degree College
Chittoor, Andhra Pradesh
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About the Specialization
What is Computer Science at Seshachala Degree College Chittoor?
This Computer Science program at Seshachala Degree College, affiliated with SVU, focuses on equipping students with a robust foundation in programming, data structures, and database management. Aligned with industry demands in India, the curriculum integrates theoretical knowledge with practical applications, preparing graduates for the rapidly evolving tech landscape. The program emphasizes problem-solving skills crucial for innovation and development in the digital age.
Who Should Apply?
This program is ideal for high school graduates (10+2) with an aptitude for logical reasoning and a keen interest in software development, data management, and problem-solving. It caters to aspiring programmers, database administrators, web developers, and those looking to build a career in the Indian IT sector. Individuals seeking to enter the technology workforce directly after graduation will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue entry-level roles as Junior Developers, Database Assistants, Web Developers, or IT Support Specialists in various Indian tech companies and startups. Starting salaries typically range from INR 2.5 to 4.5 LPA, with significant growth potential based on skills and experience. The strong foundational knowledge prepares students for advanced studies or industry certifications relevant to the Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus intensely on C and C++ programming concepts from Semesters 1 and 2. Practice regularly by solving problems on online coding platforms to build a strong logical base and perfect syntax, which is crucial for interviews.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef
Career Connection
Essential for cracking technical rounds in campus placements and for securing any entry-level software development role.
Engage in Peer Learning and Study Groups- (Semester 1-2)
Form small study groups to discuss complex topics, share code, and collectively debug programming problems. Teaching concepts to peers reinforces your own understanding and clarifies doubts quickly.
Tools & Resources
WhatsApp groups for discussions, Google Meet for virtual study sessions, Whiteboard for collaborative problem-solving
Career Connection
Develops essential teamwork and communication skills, highly valued in corporate and project-based environments.
Explore Basic Data Structures Early- (Semester 1-2)
Beyond classroom assignments, start learning basic data structures like arrays, linked lists, stacks, and queues using online tutorials and implement them in C/C++. This proactive approach strengthens logical foundations.
Tools & Resources
freeCodeCamp, W3Schools, YouTube tutorials on data structures (e.g., from NPTEL or popular channels)
Career Connection
Provides an early advantage in understanding how data is organized, which is critical for writing efficient and scalable software, a key interview topic.
Intermediate Stage
Build Mini-Projects for Portfolio Development- (Semester 3-5)
Apply theoretical knowledge from Data Structures, DBMS, and Web Technologies to build small, functional applications. Examples include a basic student management system, a simple e-commerce site, or a personal blog platform.
Tools & Resources
GitHub for version control, Local development environments (XAMPP/WAMP), IDEs like VS Code, Eclipse, Relevant programming languages and frameworks
Career Connection
Creates a practical portfolio, demonstrating tangible skills and problem-solving abilities to potential employers during internships and placements.
Participate in Coding Competitions and Hackathons- (Semester 3-5)
Regularly participate in university or inter-college coding contests and hackathons. This sharpens problem-solving, time management, and collaborative skills under pressure while exposing you to new technologies.
Tools & Resources
Platforms like Codeforces, HackerEarth, InterviewBit, Local college tech fests and innovation challenges
Career Connection
Boosts your resume, helps network with peers and industry professionals, and develops competitive programming skills highly sought after by product companies.
Seek Early Industry Exposure (Internships/Workshops)- (Semester 4-5)
Actively look for summer internships (even short-term ones) or attend industry workshops/webinars in areas like Python, DBMS, or Web Development. Focus on practical application of learned concepts.
Tools & Resources
LinkedIn, Internshala, College placement cell notices, Industry-specific forums and events
Career Connection
Provides real-world experience, clarifies career interests, and builds professional contacts, which are invaluable for future placements and career growth.
Advanced Stage
Focus on Capstone Project and Specialization- (Semester 6)
Dedicate significant effort to the final year project, aiming to solve a real-world problem or innovate. Deep dive into your chosen Discipline Specific Elective (DSE) areas like Data Mining or Computer Networks for advanced knowledge.
Tools & Resources
Advanced IDEs and development tools, Specific libraries/frameworks for your chosen domain, Academic research papers and journals
Career Connection
The project becomes a major talking point in interviews, showcasing your expertise, problem-solving capabilities, and readiness for complex tasks.
Intensive Placement Preparation- (Semester 6)
Begin rigorous preparation for campus placements, focusing on aptitude, logical reasoning, verbal ability, and advanced technical interview questions (Data Structures & Algorithms, Operating Systems, DBMS, Networks).
Tools & Resources
Mock interview platforms, Company-specific interview guides (e.g., Glassdoor, Interview experiences on GeeksforGeeks), Quantitative Aptitude books and online courses
Career Connection
Directly impacts your success in securing job offers from top recruiters during campus drives and off-campus opportunities in India.
Network and Professional Development- (undefined)
Attend industry meetups, connect with alumni, and build a professional online presence on platforms like LinkedIn. Seek mentorship and guidance for career path selection and interview strategies from experienced professionals.
Tools & Resources
LinkedIn for professional networking, Professional associations (e.g., CSI India student chapters), College alumni network events
Career Connection
Opens doors to hidden job opportunities, provides valuable career advice, and fosters long-term professional growth within the Indian IT industry.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 3 years (6 semesters)
Credits: 140 (for overall B.Sc. program as per SVU CBCS) Credits
Assessment: Internal: 25% (for Theory papers), External: 75% (for Theory papers)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-101 | Programming in C | Core Theory | 4 | Introduction to C Language, Operators and Expressions, Control Structures, Functions and Pointers, Arrays and Strings, Structures, Unions and File Handling |
| CS-101P | Programming in C Lab | Core Practical | 2 | C Programming Basics, Conditional Statements, Looping Structures, Functions Implementation, Array and String Manipulations, File Operations in C |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-201 | Object Oriented Programming with C++ | Core Theory | 4 | Introduction to OOP and C++, Classes and Objects, Constructors and Destructors, Operator Overloading, Inheritance and Polymorphism, Exception Handling and File I/O |
| CS-201P | Object Oriented Programming with C++ Lab | Core Practical | 2 | C++ Program Development, Class and Object Implementation, Inheritance Examples, Polymorphism Demonstrations, File Handling Operations, Template Programming |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-301 | Data Structures | Core Theory | 4 | Introduction to Data Structures, Arrays and Pointers, Stacks and Queues, Linked Lists, Trees and Binary Trees, Graphs, Searching and Sorting |
| CS-301P | Data Structures Lab | Core Practical | 2 | Array Implementations, Stack and Queue Operations, Linked List Manipulations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Techniques |
| CS-SEC1-PYTHON | Python Programming (Skill Enhancement Course - 1) | Elective Theory (SEC) | 2 | Python Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, File Handling in Python, Object-Oriented Programming Concepts |
| CS-SEC1-PYTHONP | Python Programming Lab (Skill Enhancement Course - 1) | Elective Practical (SEC) | 2 | Python Scripting Basics, Conditional and Looping Programs, Function Definitions, List, Tuple, Dictionary Operations, File Input/Output, Exception Handling |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-401 | Database Management Systems | Core Theory | 4 | Introduction to DBMS, ER Model and Relational Model, SQL Fundamentals, Normalization, Transaction Management, Concurrency Control and Recovery Systems |
| CS-401P | Database Management Systems Lab | Core Practical | 2 | SQL Query Writing, Database Creation and Manipulation, Join Operations, Stored Procedures and Functions, Triggers and Views, Database Backup and Restore |
| CS-SEC2-PHP | PHP with MySQL (Skill Enhancement Course - 2) | Elective Theory (SEC) | 2 | PHP Basics and Syntax, Arrays and Functions, HTML Forms and PHP, Session and Cookie Management, Introduction to MySQL, Database Connectivity with PHP |
| CS-SEC2-PHPP | PHP with MySQL Lab (Skill Enhancement Course - 2) | Elective Practical (SEC) | 2 | PHP Scripting, Form Handling and Validation, Database Operations (CRUD), User Authentication System, Session Management, Simple Web Application Development |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-501 | Operating Systems | Core Theory | 4 | OS Introduction and Structure, Process Management, CPU Scheduling Algorithms, Deadlocks, Memory Management, File Systems and I/O Systems |
| CS-501P | Operating Systems Lab | Core Practical | 2 | Linux Commands, Shell Scripting, Process Creation and Management, Inter-Process Communication, CPU Scheduling Simulation, Memory Allocation Algorithms |
| CS-502 | Web Technologies | Core Theory | 4 | HTML5 and CSS3, JavaScript Fundamentals, XML and DTD, AJAX and JSON, Introduction to Web Servers, Server-Side Scripting Basics |
| CS-502P | Web Technologies Lab | Core Practical | 2 | HTML/CSS Page Design, JavaScript Interactivity, Form Validation, XML Document Creation, AJAX Requests, Responsive Web Design |
| CS-DSE1-DM | Data Mining (Discipline Specific Elective - 1) | Elective Theory (DSE) | 4 | Data Mining Fundamentals, Data Preprocessing, Classification Techniques, Clustering Algorithms, Association Rule Mining, Web Mining and Text Mining |
| CS-DSE1-DMP | Data Mining Lab (Discipline Specific Elective - 1) | Elective Practical (DSE) | 2 | Data Exploration and Visualization, Classification Model Implementation, Clustering Analysis, Association Rule Discovery, Using Data Mining Tools (e.g., WEKA), Predictive Modeling |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-601 | Software Engineering | Core Theory | 4 | Software Life Cycle Models, Requirements Engineering, Software Design Concepts, Software Testing Strategies, Software Project Management, Software Quality Assurance |
| CS-601P | Software Engineering Lab | Core Practical | 2 | Requirement Analysis Tools, UML Diagramming, Test Case Generation, Project Planning Tools, Configuration Management, Software Documentation |
| CS-DSE2-CN | Computer Networks (Discipline Specific Elective - 2) | Elective Theory (DSE) | 4 | Network Topologies and Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols, Network Security Basics |
| CS-DSE2-CNP | Computer Networks Lab (Discipline Specific Elective - 2) | Elective Practical (DSE) | 2 | Network Commands (ping, tracert), Socket Programming, Protocol Simulation, Network Configuration, Packet Analysis with Wireshark, Client-Server Communication |
| CS-PROJ-601 | Project Work | Project | 6 | Problem Identification and Scope, System Design and Architecture, Implementation and Coding, Testing and Debugging, Documentation and Report Writing, Presentation and Viva-Voce |
