

B-VOC-SOFTWARE-DEVELOPMENT in General at Gujranwala Guru Nanak Institute of Management & Technology


Ludhiana, Punjab
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About the Specialization
What is General at Gujranwala Guru Nanak Institute of Management & Technology Ludhiana?
This Software Development program at Gujranwala Guru Nanak Institute of Management & Technology focuses on equipping students with practical, industry-relevant skills. It offers a comprehensive curriculum designed to meet the evolving demands of the Indian IT sector, emphasizing hands-on learning and problem-solving abilities. The program distinguishes itself by combining theoretical knowledge with extensive practical exposure, preparing graduates for immediate employment in various tech roles.
Who Should Apply?
This program is ideal for 10+2 graduates with a keen interest in technology and problem-solving, looking to build a robust career in software. It also suits working professionals who wish to upskill or career changers aiming to transition into the dynamic software development industry. Students with a background in Mathematics or Computer Science in their schooling are particularly well-suited for this vocational degree.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Software Developer, Web Developer, Mobile App Developer, QA Engineer, or Data Analyst in various Indian IT companies and startups. Entry-level salaries typically range from INR 3-6 LPA, with significant growth trajectories for experienced professionals. The curriculum also aligns with industry certifications in programming languages, cloud platforms, and data science, enhancing career prospects.

Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time in semesters 1-2 to master C and C++ programming, data structures, and computer fundamentals. Practice daily coding challenges to build logic and problem-solving skills, which are critical for all future software development roles.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, freeCodeCamp
Career Connection
Strong fundamentals are the bedrock for cracking coding interviews and excelling in advanced subjects like algorithms and system design, crucial for top tech companies.
Enhance Communication & Professional Skills- (Semester 1-2)
Actively participate in communication and professional skills labs. Practice public speaking, group discussions, and resume building. Seek feedback from faculty and peers to refine your soft skills, which are as vital as technical skills in the workplace.
Tools & Resources
LinkedIn Learning courses on communication, Toastmasters clubs, GGNIMT Career Services
Career Connection
Excellent soft skills significantly boost your chances in interviews and help you thrive in collaborative team environments in Indian and global companies.
Build Basic Web Development Projects- (Semester 1-2)
Beyond classroom assignments, independently build small web projects using HTML, CSS, and JavaScript. This hands-on experience solidifies your understanding and provides tangible examples for your portfolio, even if simple.
Tools & Resources
W3Schools, MDN Web Docs, GitHub for project hosting
Career Connection
Early project exposure helps in understanding the full development lifecycle and showcases initiative, which impresses recruiters for junior developer roles.
Intermediate Stage
Engage in Applied Project Work- (Semester 3-5)
Utilize acquired knowledge in Java, Python, DBMS, and Web Frameworks to develop practical, multi-semester projects. Focus on solving real-world problems or building functional applications, either individually or in teams. Contribute to open-source projects.
Tools & Resources
GitHub, Stack Overflow, Jira/Trello for project management, Online IDEs
Career Connection
Robust projects demonstrate your ability to apply concepts, which is crucial for internships and entry-level positions in product development companies.
Pursue Elective Specialization Deeply- (Semester 3-5)
If you choose an elective like Android App Development or Big Data Analytics, delve deeper beyond the syllabus. Complete online courses, read industry blogs, and build specific projects related to your chosen area to become an expert.
Tools & Resources
Coursera, Udemy, NPTEL for advanced topics, Android Developers website
Career Connection
Specialized skills make you a more attractive candidate for niche roles and open up opportunities in cutting-edge technology domains in India.
Network and Seek Mentorship- (Semester 3-5)
Attend industry workshops, guest lectures, and tech conferences (both online and offline). Connect with alumni and industry professionals on LinkedIn. Seek mentors who can guide your career path and provide insights into the Indian IT landscape.
Tools & Resources
LinkedIn, Eventbrite for tech events, Alumni network platforms
Career Connection
Networking opens doors to internship opportunities, job referrals, and valuable career advice within the competitive Indian tech ecosystem.
Advanced Stage
Intensive Internship & Major Project- (Semester 5-6)
Secure a quality internship during semester 5 and treat your major project in semester 6 as a capstone experience. Focus on delivering a high-quality, deployable product. Document thoroughly and prepare for technical presentations and viva voce.
Tools & Resources
Internshala, Naukri.com, College placement cell, Version control systems (Git)
Career Connection
A strong internship and major project are often the primary factors in securing placements and demonstrate industry readiness to potential employers.
Prepare for Placements Rigorously- (Semester 5-6)
Starting from semester 5, begin intensive preparation for placements. This includes mastering data structures and algorithms, practicing aptitude tests, mock interviews (technical and HR), and polishing your resume and GitHub profile.
Tools & Resources
LeetCode, PrepInsta, Glassdoor for company interview experiences, GGNIMT placement cell
Career Connection
Consistent and focused preparation is key to securing coveted positions in Indian and multinational IT companies during campus placements.
Explore Emerging Technologies & Certifications- (Semester 5-6)
Continuously learn new and emerging technologies like Cloud Computing, AI/ML Ops, or advanced DevOps tools. Consider pursuing relevant industry certifications to validate your skills and stand out in the job market.
Tools & Resources
AWS/Azure/GCP certifications, Google AI/ML certifications, Linux Foundation certifications
Career Connection
Staying updated with emerging tech and holding certifications significantly enhances your employability and potential for higher salaries in specialized roles.
Program Structure and Curriculum
Eligibility:
- 10+2 in any stream (with Math/Computer Science/Information Technology/Informatics Practices as one of the subject) with 50% marks (45% for SC/ST category) or equivalent grade. OR 3 year diploma in any Engineering stream with 50% marks (45% for SC/ST category) or equivalent grade.
Duration: 3 years / 6 semesters
Credits: 144 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS101-23 | Computer Fundamentals | Core Theory | 3 | Introduction to Computers, Input/Output Devices, Memory Organization, Software Concepts, Operating Systems Basics |
| BVS102-23 | Programming in C | Core Theory | 3 | Introduction to C Programming, Data Types and Operators, Control Structures, Functions, Arrays and Pointers |
| BVS103-23 | Applied Mathematics | Foundation Theory | 4 | Matrices and Determinants, Calculus Fundamentals, Differential Equations, Probability and Statistics, Logic and Set Theory |
| BVS104-23 | Communication Skills | Skill Enhancement | 2 | Basic English Grammar, Speaking and Listening Skills, Reading Comprehension, Writing Business Correspondence, Presentation Techniques |
| BVS105-23 | Professional Skills & Ethics | Skill Enhancement | 2 | Professionalism and Work Ethics, Teamwork and Collaboration, Problem Solving, Interpersonal Skills, Ethics in Computing |
| BVS106-23 | Computer Fundamentals Lab | Core Lab | 2 | Operating System Operations (Windows/Linux), MS Office Applications (Word, Excel, PowerPoint), Internet Browsing and Email, Basic Hardware Identification, Software Installation |
| BVS107-23 | Programming in C Lab | Core Lab | 2 | C Program Implementation, Debugging Techniques, Conditional Statements and Loops, Functions and Arrays, String and File Operations |
| BVS108-23 | Communication Skills Lab | Skill Enhancement Lab | 2 | Group Discussions, Public Speaking Practice, Role-playing for Interviews, Active Listening Exercises, Pronunciation Practice |
| BVS109-23 | Professional Skills Lab | Skill Enhancement Lab | 2 | Time Management Activities, Team Building Exercises, Leadership Skill Development, Stress Management Techniques, Emotional Intelligence Practices |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS201-23 | Data Structures | Core Theory | 3 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| BVS202-23 | Object-Oriented Programming using C++ | Core Theory | 3 | OOP Concepts (Encapsulation, Inheritance), Classes and Objects, Polymorphism and Abstraction, Constructors and Destructors, Exception Handling |
| BVS203-23 | Computer Organization & Architecture | Core Theory | 3 | Digital Logic Circuits, Processor Organization, Memory Hierarchy, Input/Output Organization, Instruction Set Architecture |
| BVS204-23 | Data Base Management Systems | Core Theory | 3 | DBMS Concepts and Architecture, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transactions |
| BVS205-23 | Web Development using HTML, CSS, JS | Core Theory | 3 | HTML Document Structure, CSS Styling and Layouts, JavaScript Fundamentals, DOM Manipulation, Responsive Web Design |
| BVS206-23 | Data Structures Lab | Core Lab | 2 | Array and Linked List Implementations, Stack and Queue Operations, Binary Tree Traversals, Graph Traversal Algorithms, Sorting and Searching Implementations |
| BVS207-23 | Object-Oriented Programming using C++ Lab | Core Lab | 2 | C++ Program Development, Class and Object Implementation, Inheritance and Polymorphism Examples, Operator Overloading, File I/O in C++ |
| BVS208-23 | DBMS Lab | Core Lab | 2 | SQL Query Writing (DDL, DML), Database Creation and Manipulation, Joins and Subqueries, Views and Stored Procedures, Database Connectivity |
| BVS209-23 | Web Development using HTML, CSS, JS Lab | Core Lab | 2 | HTML Page Design, CSS Styling and Layouts, JavaScript Interactive Elements, Form Validation, Introduction to Bootstrap |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS301-23 | Operating Systems | Core Theory | 3 | Operating System Concepts, Process Management, Memory Management, File Systems, I/O Management and Deadlocks |
| BVS302-23 | Java Programming | Core Theory | 3 | Java Fundamentals and Syntax, Object-Oriented Programming in Java, Exception Handling, Multithreading and Concurrency, GUI Programming (AWT/Swing) |
| BVS303-23 | Software Engineering | Core Theory | 3 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Software Project Management Concepts |
| BVS304-23 | Digital Marketing | Core Theory | 3 | Introduction to Digital Marketing, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing and Analytics |
| BVS305A-23 | Big Data Analytics (Elective-I) | Elective Theory | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Data Warehousing, Data Mining Techniques, NoSQL Databases |
| BVS305B-23 | Cloud Computing (Elective-I) | Elective Theory | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Cloud Security, Virtualization |
| BVS306-23 | Operating Systems Lab | Core Lab | 2 | Linux Command Line Interface, Shell Scripting, Process Management Commands, Memory Allocation Techniques, File System Operations |
| BVS307-23 | Java Programming Lab | Core Lab | 2 | Java Program Development, Exception Handling Implementation, Multithreading Applications, GUI Development with AWT/Swing, Database Connectivity (JDBC) |
| BVS308-23 | Software Engineering Lab | Core Lab | 2 | Use Case Diagrams, Class Diagrams, Sequence Diagrams, Test Case Generation, Software Requirement Specification (SRS) |
| BVS309-23 | Digital Marketing Lab | Core Lab | 2 | SEO Tools and Techniques, Google Analytics Implementation, Social Media Campaign Setup, Email Marketing Campaigns, Website Traffic Analysis |
| BVS310A-23 | Big Data Analytics Lab (Elective Lab-I) | Elective Lab | 1 | Hadoop Installation and Configuration, MapReduce Programming, Hive Queries, Pig Scripts, Spark Basics |
| BVS310B-23 | Cloud Computing Lab (Elective Lab-I) | Elective Lab | 1 | Cloud Platform Setup (e.g., AWS EC2), Virtual Machine Deployment, Storage Services in Cloud, Cloud Networking, Serverless Computing Basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS401-23 | Python Programming | Core Theory | 3 | Python Fundamentals and Syntax, Data Structures (Lists, Tuples, Dictionaries), Functions and Modules, File Handling, Object-Oriented Programming in Python |
| BVS402-23 | Computer Networks | Core Theory | 3 | Network Topologies and Types, OSI and TCP/IP Models, Networking Devices (Routers, Switches), IP Addressing and Subnetting, Network Security Basics |
| BVS403-23 | Web Frameworks | Core Theory | 3 | Introduction to Web Frameworks (e.g., Flask, Django), MVC Architecture, Routing and URL Mapping, Templating Engines, Database Integration with ORMs |
| BVS404-23 | Fundamentals of AI & Machine Learning | Core Theory | 3 | Introduction to Artificial Intelligence, Machine Learning Concepts, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Neural Networks Basics |
| BVS405A-23 | Android App Development (Elective-II) | Elective Theory | 3 | Android Architecture and Components, Activities and Intents, User Interface (UI) Design with XML, Data Storage Options (SQLite), Publishing Android Apps |
| BVS405B-23 | Data Warehousing & Mining (Elective-II) | Elective Theory | 3 | Data Warehouse Architecture, OLAP Operations, Data Mining Concepts, Classification and Clustering, Association Rule Mining |
| BVS406-23 | Python Programming Lab | Core Lab | 2 | Python Script Writing, Data Manipulation with Pandas, Object-Oriented Programming in Python, Web Scraping Basics, API Integration |
| BVS407-23 | Computer Networks Lab | Core Lab | 2 | Network Configuration (Cisco Packet Tracer), TCP/IP Commands (ping, tracert), Socket Programming in Python, Wireshark for Packet Analysis, Network Troubleshooting |
| BVS408-23 | Web Frameworks Lab | Core Lab | 2 | Developing Web Applications with Flask/Django, Database Integration, User Authentication, RESTful API Development, Deployment on Cloud Platforms |
| BVS409-23 | Fundamentals of AI & Machine Learning Lab | Core Lab | 2 | Implementing ML Algorithms (Scikit-learn), Data Preprocessing Techniques, Data Visualization with Matplotlib, Model Evaluation Metrics, Introduction to Deep Learning Libraries |
| BVS410A-23 | Android App Development Lab (Elective Lab-II) | Elective Lab | 1 | Developing Android UI Components, Handling User Input and Events, Working with SQLite Database, Integrating APIs, Debugging Android Applications |
| BVS410B-23 | Data Warehousing & Mining Lab (Elective Lab-II) | Elective Lab | 1 | Designing Data Warehouse Schema, ETL Process Implementation, Using Data Mining Tools (e.g., Weka), Implementing Classification Algorithms, Data Clustering Techniques |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS501-23 | Industry Based Training/Internship | Project/Internship | 5 | Real-World Project Experience, Industry Best Practices, Professional Communication, Technical Report Writing, Team Collaboration |
| BVS502-23 | IoT & Embedded Systems | Core Theory | 3 | IoT Architecture and Protocols, Sensors and Actuators, Microcontrollers (e.g., Arduino, ESP32), Cloud Platforms for IoT, Embedded System Design |
| BVS503-23 | Software Project Management | Core Theory | 3 | Project Planning and Scheduling, Risk Management, Resource Allocation, Software Quality Assurance, Agile Methodologies (Scrum) |
| BVS504-23 | BlockChain & CryptoCurrency | Core Theory | 3 | Blockchain Fundamentals, Cryptography Basics, Distributed Ledger Technology, Bitcoin and Ethereum, Smart Contracts |
| BVS505A-23 | UI/UX Design (Elective-III) | Elective Theory | 3 | Design Principles and Aesthetics, User Research and Personas, Wireframing and Prototyping, Usability Testing, Information Architecture |
| BVS505B-23 | Cyber Security (Elective-III) | Elective Theory | 3 | Cyber Security Fundamentals, Network Security, Application Security, Cryptography and Hashing, Security Policies and Standards |
| BVS506-23 | IoT & Embedded Systems Lab | Core Lab | 2 | Sensor Interfacing with Microcontrollers, IoT Device Programming, Data Transmission to Cloud, Embedded C Programming, Home Automation Projects |
| BVS507-23 | Software Project Management Lab | Core Lab | 2 | Project Planning with Tools (e.g., Jira), Agile Sprint Planning, Gantt Charts and PERT, Risk Assessment and Mitigation, Project Documentation |
| BVS508-23 | BlockChain & CryptoCurrency Lab | Core Lab | 2 | Setting up a Private Blockchain, Smart Contract Development (Solidity), Decentralized Application (DApp) Basics, Cryptocurrency Wallets, Blockchain Explorer Usage |
| BVS509A-23 | UI/UX Design Lab (Elective Lab-III) | Elective Lab | 1 | Wireframing Tools (e.g., Figma, Adobe XD), Prototyping Interactive Designs, User Flow Creation, Feedback Integration, Basic Graphic Design Principles |
| BVS509B-23 | Cyber Security Lab (Elective Lab-III) | Elective Lab | 1 | Network Scanning Tools (e.g., Nmap), Vulnerability Assessment, Penetration Testing Basics, Firewall Configuration, Cyber Attack Simulation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BVS601-23 | Major Project | Project | 5 | Project Proposal and Planning, System Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
| BVS602-23 | Data Science with R | Core Theory | 3 | R Programming Fundamentals, Data Manipulation with dplyr, Data Visualization with ggplot2, Statistical Modeling in R, Machine Learning with R |
| BVS603-23 | DevOps | Core Theory | 3 | DevOps Principles and Practices, Continuous Integration/Continuous Deployment (CI/CD), Version Control with Git, Containerization with Docker, Orchestration with Kubernetes |
| BVS604A-23 | Robotics Process Automation (RPA) (Elective-IV) | Elective Theory | 3 | Introduction to RPA, RPA Tools (e.g., UiPath, Automation Anywhere), Process Mapping and Automation, Bot Development Lifecycle, Deployment and Monitoring |
| BVS604B-23 | AR/VR Technologies (Elective-IV) | Elective Theory | 3 | Introduction to AR/VR, Augmented Reality Concepts, Virtual Reality Systems, 3D Graphics and Interaction, AR/VR Application Development |
| BVS605-23 | Data Science with R Lab | Core Lab | 2 | R Script Writing for Data Analysis, Data Cleaning and Transformation, Advanced Data Visualization, Implementing Statistical Models, Building Predictive Models |
| BVS606-23 | DevOps Lab | Core Lab | 2 | Git Commands and Workflow, Docker Container Creation and Management, Jenkins CI/CD Pipeline Setup, Kubernetes Cluster Deployment, Infrastructure as Code (IaC) Basics |
| BVS607A-23 | Robotics Process Automation (RPA) Lab (Elective Lab-IV) | Elective Lab | 1 | UiPath Studio Familiarization, Building Simple RPA Bots, Automating Desktop Applications, Web Automation, Data Extraction from Documents |
| BVS607B-23 | AR/VR Technologies Lab (Elective Lab-IV) | Elective Lab | 1 | Unity Engine for AR/VR Development, VR Headset Setup and Configuration, AR App Creation with ARCore/ARKit, 3D Model Integration, Interaction Design for Immersive Experiences |
| BVS608-23 | Industrial Visit/Guest Lectures/Workshops | Experiential Learning | 1 | Industry Exposure to Software Firms, Latest Technology Trends, Expert Insights from IT Professionals, Networking Opportunities, Skill Development Workshops |
| BVS609-23 | Soft Skills-IV | Skill Enhancement | 2 | Leadership Skills, Advanced Interview Techniques, Professional Etiquette and Grooming, Conflict Resolution, Critical Thinking and Decision Making |




