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B-TECH in Information Technology at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Thiruvallur, Tamil Nadu
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About the Specialization
What is Information Technology at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Thiruvallur?
This Information Technology program at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology focuses on equipping students with expertise in software development, data management, networking, and emerging IT trends. It prepares graduates to tackle complex technological challenges and contribute to India''''s rapidly expanding digital economy. The program emphasizes practical skills and theoretical knowledge essential for a successful career.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and science, aspiring to build a career in the dynamic IT sector. It also suits individuals passionate about problem-solving, logical thinking, and leveraging technology to create innovative solutions. Students seeking to contribute to India''''s tech landscape, from startups to multinational corporations, will find this curriculum highly beneficial.
Why Choose This Course?
Graduates of this program can expect promising career paths as Software Developers, Data Analysts, Network Engineers, Cloud Architects, and Cybersecurity Specialists in India. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more. The program aligns with industry demands, fostering growth trajectories in IT services, product development, and digital transformation roles.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering foundational programming languages like Python and C/C++. Practice coding daily through online platforms to solidify syntax, logic, and problem-solving skills. Focus on understanding data structures and algorithms thoroughly.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Visual Studio Code
Career Connection
Strong fundamentals are the bedrock for all advanced IT roles, making you highly competitive for entry-level developer positions and tech company assessments.
Active Participation in Engineering Labs- (Semester 1-2)
Engage proactively in all engineering physics, chemistry, and programming labs. Understand the theoretical concepts behind experiments and focus on practical implementation. Collaborate with peers on lab assignments to enhance teamwork and problem-solving.
Tools & Resources
Lab Manuals, Online Simulation Tools, Peer Study Groups
Career Connection
Practical lab experience translates directly into hands-on skills required for engineering roles, demonstrating your ability to apply theoretical knowledge.
Develop Strong Academic Habits- (Semester 1-2)
Cultivate effective study habits including regular revision, active note-taking, and clarifying doubts with faculty promptly. Prioritize understanding core concepts in mathematics and basic engineering subjects, as they form the base for advanced IT courses.
Tools & Resources
Course Textbooks, Lecture Notes, Library Resources, Faculty Office Hours
Career Connection
A solid academic record and disciplined approach build a strong resume, essential for securing internships and future academic pursuits like M.Tech.
Intermediate Stage
Build Practical Projects and Portfolios- (Semester 3-5)
Apply theoretical knowledge by developing mini-projects in areas like OOP, Databases, and Web Technologies. Document your projects on platforms like GitHub to showcase your skills. Participate in hackathons and coding competitions to gain exposure.
Tools & Resources
GitHub, Kaggle, Dev.to, Local Hackathons
Career Connection
A robust project portfolio significantly enhances your employability, demonstrating practical application skills to potential employers for internships and full-time roles.
Engage in Technical Clubs and Societies- (Semester 3-5)
Join departmental technical clubs (e.g., AI/ML club, Cyber Security club) to learn beyond the curriculum, network with like-minded individuals, and gain leadership experience. Organize or participate in workshops and tech talks.
Tools & Resources
IEEE Student Branch, ACM Student Chapter, Departmental Technical Clubs, Guest Lectures
Career Connection
Participation in technical communities fosters specialized skills, leadership qualities, and industry networking, which are highly valued in recruitment.
Seek Early Industry Exposure- (Semester 3-5)
Look for short-term internships, workshops, or industry visits during breaks to understand real-world IT applications and work environments. Focus on understanding industry best practices in software engineering and data analytics.
Tools & Resources
Internshala, LinkedIn, College Placement Cell, Industry Connect Programs
Career Connection
Early exposure provides clarity on career paths, helps in building professional contacts, and adds practical experience to your resume, making you internship-ready.
Advanced Stage
Specialize and Certify in Niche Areas- (Semester 6-8)
Choose professional electives wisely based on your interest and career goals (e.g., Cloud Computing, Machine Learning, Cybersecurity). Pursue industry-recognized certifications (e.g., AWS, Azure, Google Cloud, CompTIA) to validate your specialized skills.
Tools & Resources
Coursera, Udemy, edX, Official Certification Training
Career Connection
Specialized skills and certifications significantly boost your hiring potential for specific roles, command higher salaries, and open doors to advanced opportunities in India''''s tech sector.
Intensive Placement Preparation- (Semester 6-8)
Engage in rigorous preparation for campus placements, focusing on aptitude, logical reasoning, verbal ability, and technical interview skills. Practice mock interviews and group discussions. Refine your resume and cover letter with career services.
Tools & Resources
Placement Training Modules, Online Aptitude Tests, Mock Interview Panels, Alumni Mentorship
Career Connection
Thorough preparation directly translates into successful placements, helping you secure coveted job offers from top-tier companies in India and globally.
Undertake Impactful Final Year Project- (Semester 7-8)
Select a challenging and innovative final year project that showcases advanced technical skills and problem-solving abilities. Focus on real-world problems, incorporate emerging technologies, and document your work meticulously. Seek mentorship from faculty and industry experts.
Tools & Resources
Research Papers, Industry Whitepapers, Project Management Tools, Academic Mentors
Career Connection
A strong final year project is a powerful differentiator, often leading to publications, patents, and direct recruitment opportunities, validating your capability as an IT professional.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 167 Credits
Assessment: Internal: 50% (Theory) / 60% (Practical), External: 50% (Theory) / 40% (Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA101T | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transforms, Vector Calculus |
| 23HS101T | Technical English | Core | 3 | Grammar and Vocabulary, Reading Comprehension, Writing Skills, Listening and Speaking, Professional Communication |
| 23PH101T | Engineering Physics | Core | 3 | Properties of Matter, Quantum Physics, Lasers and Fiber Optics, Crystal Physics, Modern Engineering Materials |
| 23CY101T | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry and Corrosion, Fuels and Combustion, Engineering Materials, Polymer Chemistry |
| 23CS101T | Problem Solving and Python Programming | Core | 3 | Basics of Python, Data Types, Control Flow, Functions, Data Structures, File Handling |
| 23ME101P | Engineering Graphics and Design | Lab | 2 | Engineering Curves, Projections of Points and Lines, Projections of Solids, Sectioning of Solids, Isometric Projections |
| 23PC101P | Engineering Physics and Chemistry Laboratory | Lab | 2 | Basic Physics Experiments, Properties of Materials, Water Quality Analysis, Electrochemical Experiments, Polymer Characterization |
| 23CS101P | Python Programming Laboratory | Lab | 2 | Basic Python Programs, Control Flow Implementation, Function Usage, List Operations, File Handling Exercises |
| 23GE101P | Engineering Practices Laboratory | Lab | 2 | Carpentry and Plumbing, Welding and Sheet Metal, Electrical Wiring, Electronics Components, Computer Hardware Assembly |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA201T | Engineering Mathematics – II | Core | 4 | Matrices and Eigenvalue Problems, Vector Spaces, Multivariable Calculus, Complex Variables, Fourier Series |
| 23CS201T | Data Structures | Core | 3 | Array and List Structures, Stacks and Queues, Trees, Graphs, Hashing and Sorting Algorithms |
| 23GE201T | Environmental Science and Engineering | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Social Issues and the Environment, Environmental Protection |
| 23EC201T | Basic Electrical and Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Electrical Machines, Semiconductor Devices, Digital Electronics |
| 23IT201T | Operating Systems | Core | 3 | Introduction to OS, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| 23CS201P | Data Structures Laboratory | Lab | 2 | Array and Linked List Operations, Stack and Queue Implementations, Tree Traversal, Graph Algorithms, Searching and Sorting |
| 23IT201P | Operating Systems Laboratory | Lab | 2 | Linux Commands, Shell Scripting, Process Management, CPU Scheduling Algorithms, Deadlock Avoidance |
| 23GE202P | Value Added Course (VAP) | VAP | 1 | Specific to chosen course, Soft skills development, Introductory technical tools, Industry-relevant topics, Emerging technologies |
| 23GE203L | Life Skills I | Mandatory Non-Credit Course | 0 | Self-awareness, Goal Setting, Time Management, Stress Management, Basic Communication Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA301T | Probability and Statistics | Core | 4 | Probability Axioms, Random Variables, Probability Distributions, Sampling Distributions, Hypothesis Testing |
| 23CS301T | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling, GUI Programming |
| 23CS302T | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 23IT301T | Database Management Systems | Core | 3 | Database Architecture, Relational Model, SQL Queries, Transaction Management, Concurrency Control |
| 23IT302T | Computer Networks | Core | 3 | Network Models, Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 23CS301P | Object Oriented Programming Laboratory | Lab | 2 | Class and Object Implementation, Inheritance and Polymorphism, Interface Usage, Exception Handling, File I/O |
| 23IT301P | Database Management Systems Laboratory | Lab | 2 | SQL DDL and DML, Joins and Subqueries, PL/SQL Programming, Database Connectivity, Report Generation |
| 23IT302P | Computer Networks Laboratory | Lab | 2 | Network Topologies, Packet Tracing, Socket Programming, Network Configuration, Network Security Tools |
| 23GE301P | Life Skills II | Mandatory Non-Credit Course | 0 | Interpersonal Skills, Teamwork, Critical Thinking, Problem Solving, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IT401T | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving Agents, Knowledge Representation, Machine Learning Basics, Expert Systems, Natural Language Processing |
| 23IT402T | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Design Principles, Software Testing, Software Maintenance |
| 23IT403T | Web Technology | Core | 3 | HTML, CSS, JavaScript, Server-Side Scripting, Web Frameworks, Database Connectivity, Web Security |
| 23IT404T | Data Analytics | Core | 3 | Data Collection, Data Cleaning, Exploratory Data Analysis, Statistical Methods, Data Visualization, Predictive Modeling |
| 23IT405T | Internet of Things | Core | 3 | IoT Architecture, Sensing and Actuation, Communication Protocols, IoT Platforms, Data Analytics for IoT, Security and Privacy |
| 23IT401P | Artificial Intelligence Laboratory | Lab | 2 | Search Algorithms, Game Playing, Constraint Satisfaction, Machine Learning Libraries, NLP Tools |
| 23IT402P | Web Technology Laboratory | Lab | 2 | Static and Dynamic Web Pages, Frontend Frameworks, Backend Development, Database Integration, Web Services |
| 23IT403P | Data Analytics Laboratory | Lab | 2 | Data Preprocessing, Statistical Analysis with Python/R, Visualization Tools, Machine Learning Models, Big Data Tools |
| 23IT404P | Mini Project-I | Project | 2 | Problem Identification, Literature Survey, System Design, Implementation, Testing and Documentation |
| 23GE401P | Life Skills III | Mandatory Non-Credit Course | 0 | Leadership Skills, Conflict Resolution, Decision Making, Professional Etiquette, Interview Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IT501T | Cloud Computing | Core | 3 | Cloud Architecture, Virtualization, Cloud Services (IaaS, PaaS, SaaS), Cloud Security, Cloud Management, Serverless Computing |
| 23IT502T | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Ensemble Methods, Model Evaluation, Deep Learning Introduction, Reinforcement Learning |
| 23GE501T | Professional Ethics | Humanities Elective | 3 | Engineering Ethics, Ethical Theories, Moral Autonomy, Professional Ideals, Global Issues |
| 23IT511T | Software Testing and Quality Assurance (Professional Elective – I, Sample) | Elective | 3 | Software Testing Life Cycle, Test Case Design, Testing Techniques, Quality Models, Quality Control |
| 23OE501T | Green Computing (Open Elective – I, Sample) | Elective | 3 | Energy Efficiency, Environmental Regulations, Green Data Centers, Resource Utilization, Sustainable Practices |
| 23IT501P | Cloud Computing Laboratory | Lab | 2 | Cloud Service Provisioning, Virtual Machine Deployment, Cloud Storage, Containerization, Serverless Function Deployment |
| 23IT502P | Machine Learning Laboratory | Lab | 2 | Data Preprocessing, Implementing Regression Models, Classification Algorithms, Clustering Techniques, Model Evaluation |
| 23IT503P | Mini Project – II | Project | 2 | Advanced Problem Solving, Prototype Development, System Integration, Performance Testing, Technical Report Writing |
| 23GE502L | Life Skills IV | Mandatory Non-Credit Course | 0 | Public Speaking, Negotiation Skills, Innovation and Creativity, Emotional Intelligence, Entrepreneurial Mindset |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HS601T | Managerial Economics and Financial Analysis | Humanities Elective | 3 | Managerial Economics, Demand Analysis, Production and Cost Analysis, Market Structures, Financial Statement Analysis |
| 23IT601T | Big Data Analytics | Core | 3 | Big Data Ecosystem, Hadoop, MapReduce, Spark, NoSQL Databases, Stream Processing |
| 23IT602T | Deep Learning | Core | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Generative Adversarial Networks |
| 23IT611T | Full Stack Development (Professional Elective – II, Sample) | Elective | 3 | Frontend Technologies, Backend Frameworks, Database Integration, API Development, Deployment Strategies |
| 23IT621T | Cloud Security (Professional Elective – III, Sample) | Elective | 3 | Cloud Security Architecture, Identity and Access Management, Data Security in Cloud, Network Security, Compliance and Governance |
| 23OE601T | Artificial Intelligence for Everyone (Open Elective – II, Sample) | Elective | 3 | AI Concepts, Machine Learning Basics, Deep Learning Overview, AI Applications, Ethical AI Considerations |
| 23IT601P | Big Data Analytics Laboratory | Lab | 2 | Hadoop Ecosystem Setup, MapReduce Programming, Spark Data Processing, NoSQL Database Operations, Data Ingestion Tools |
| 23IT602P | Deep Learning Laboratory | Lab | 2 | Implementing Neural Networks, CNN for Image Classification, RNN for Sequence Data, Transfer Learning, Deep Learning Frameworks |
| 23IT603P | Industrial Training / Internship | Training | 2 | Industry Exposure, Practical Skill Application, Project Work, Professional Networking, Report Preparation |
| 23GE601P | Life Skills V | Mandatory Non-Credit Course | 0 | Global Citizenship, Cross-Cultural Communication, Professional Networking, Stress Management Techniques, Personal Branding |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IT701T | Computer Vision | Core | 3 | Image Formation, Feature Detection, Image Segmentation, Object Recognition, Motion Analysis, Deep Learning for Vision |
| 23IT711T | Real Time Systems (Professional Elective – IV, Sample) | Elective | 3 | Real-Time Scheduling, Real-Time Operating Systems, Task Management, Concurrency Control, Real-Time Communication |
| 23IT721T | Quantum Machine Learning (Professional Elective – V, Sample) | Elective | 3 | Quantum Computing Basics, Quantum Algorithms, Quantum Data, Quantum Neural Networks, Quantum Optimization |
| 23OE701T | Cyber Law and Ethics (Open Elective – III, Sample) | Elective | 3 | Cybercrime, Data Protection Laws, Digital Signatures, Intellectual Property Rights, Ethical Hacking Laws, Privacy Issues |
| 23IT701P | Computer Vision Laboratory | Lab | 2 | Image Preprocessing, Feature Extraction, Object Detection, Image Classification, Video Analysis |
| 23IT702P | Project Phase – I | Project | 6 | Project Proposal, Detailed Design, System Architecture, Initial Implementation, Mid-term Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IT801P | Project Phase – II | Project | 12 | Final System Development, Comprehensive Testing, Performance Evaluation, Technical Report, Project Defense, Future Enhancements |
