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B-TECH in Information Technology It at Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
Medchal-Malkajgiri, Telangana
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About the Specialization
What is Information Technology (IT) at Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology Medchal-Malkajgiri?
This Information Technology program at VNRVJIET focuses on equipping students with expertise in software development, data management, networking, and cybersecurity, crucial for India''''s rapidly expanding digital economy. The curriculum emphasizes a blend of theoretical knowledge and practical application, preparing graduates for diverse roles in the IT sector. This program''''s holistic approach nurtures problem-solving skills, making it highly relevant to evolving industry demands in the Indian market.
Who Should Apply?
This program is ideal for aspiring computer professionals, fresh 10+2 graduates with a strong aptitude for logical reasoning and programming, seeking entry into the software and IT services industry. It also caters to individuals interested in developing specialized skills in areas like data science, web development, and network security. Candidates who are eager to contribute to India''''s digital transformation and innovation landscape will find this program rewarding.
Why Choose This Course?
Graduates of this program can expect promising career paths as Software Developers, Data Analysts, Network Administrators, Cybersecurity Analysts, and IT Consultants in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-7 lakhs per annum, with significant growth trajectories for experienced professionals reaching INR 15-30+ lakhs. The curriculum aligns with requirements for various professional certifications, enhancing employability in the competitive Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand C/C++ and Python. Regularly practice coding problems on platforms like HackerRank, LeetCode, and GeeksforGeeks to build strong logical thinking and problem-solving skills, which are essential for all future IT courses.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, VS Code, Online C/Python tutorials
Career Connection
A strong foundation in programming is crucial for cracking coding rounds in placement interviews for software development roles.
Build a Strong Mathematical Base- (Semester 1-2)
Focus on Calculus, Linear Algebra, Probability, and Discrete Mathematics. These subjects form the bedrock for advanced topics like Machine Learning, Data Science, and Algorithm Analysis. Utilize resources like Khan Academy and NPTEL for deeper understanding.
Tools & Resources
Khan Academy, NPTEL videos, MIT OpenCourseware
Career Connection
Proficiency in mathematics is vital for careers in Data Science, AI/ML, and research, providing an edge in analytical roles.
Engage in Technical Clubs and Projects- (Semester 1-2)
Join college technical clubs (e.g., coding clubs, AI/ML groups) and participate in introductory projects. This fosters teamwork, introduces practical application, and helps network with seniors and faculty, gaining early exposure to IT domains.
Tools & Resources
College technical clubs, GitHub, Basic project kits
Career Connection
Early project experience and club participation enhance your resume and interview stories, demonstrating initiative and practical skills to recruiters.
Intermediate Stage
Undertake Mini Projects and Internships- (Semester 3-5)
Actively seek out mini-projects in areas like Web Development, Database Management, or Data Structures. Pursue short-term internships during breaks to gain industry exposure, understand corporate environments, and apply classroom knowledge to real-world problems. Utilize platforms like Internshala.
Tools & Resources
Internshala, LinkedIn, College Placement Cell, GitHub
Career Connection
Internships are critical for practical experience, networking, and often lead to pre-placement offers, significantly boosting job prospects.
Specialize through Electives and Certifications- (Semester 3-5)
Strategically choose professional electives that align with your career interests (e.g., Machine Learning, Cyber Security). Supplement your curriculum with online certifications from platforms like Coursera, Udemy, or NPTEL in your chosen specialization to deepen expertise.
Tools & Resources
Coursera, Udemy, NPTEL, edX
Career Connection
Specialized skills and certifications make you a more competitive candidate for specific IT roles and higher-paying positions.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in competitive programming contests on platforms like CodeChef, TopCoder, or participate in hackathons organized by colleges or companies. This hones problem-solving under pressure and exposes you to innovative solutions.
Tools & Resources
CodeChef, TopCoder, Kaggle, Devpost
Career Connection
Success in these events is a strong signal to recruiters about your problem-solving prowess and ability to innovate, often attracting attention from top companies.
Advanced Stage
Focus on Major Project and Research- (Semester 6-8)
Devote significant effort to your Major Project, aiming for innovative solutions or impactful research. Collaborate with faculty or industry mentors. Present your work at college fests or conferences, and consider publishing if it has research merit.
Tools & Resources
Research papers, Academic journals, Project management tools, GitHub
Career Connection
A strong final year project is a powerful portfolio item, demonstrating advanced skills and often forming the basis for discussions in technical interviews or higher studies.
Intensive Placement Preparation- (Semester 6-8)
Begin rigorous preparation for placements by practicing aptitude, logical reasoning, verbal ability, and technical interview questions. Conduct mock interviews, work on resume building, and participate in career readiness workshops offered by the college placement cell.
Tools & Resources
Mock interview platforms, Aptitude books, Company-specific interview guides
Career Connection
Thorough preparation directly translates into securing coveted job offers from leading IT companies during campus placements.
Network and Build a Professional Presence- (Semester 6-8)
Actively network with alumni, industry professionals, and recruiters through LinkedIn, industry events, and college alumni meets. Maintain an updated professional portfolio (GitHub, personal website) showcasing your projects and skills to attract potential employers.
Tools & Resources
LinkedIn, GitHub, Professional networking events
Career Connection
Networking opens doors to off-campus opportunities, referrals, and valuable career guidance, expanding your post-graduation career options.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 150 Credits
Assessment: Internal: Theory: 40%, Practicals: 50%, Mini Project/Design Thinking: 50%, Major Project: 40%, External: Theory: 60%, Practicals: 50%, Mini Project/Design Thinking: 50%, Major Project: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22AP1PH01 | Applied Physics | Core | 3 | Quantum Mechanics, Semiconductor Physics, Lasers and Fiber Optics, Dielectric and Magnetic Materials, Nanomaterials |
| 22MA1MT01 | Calculus and Matrix Algebra | Core | 3 | Differential Calculus, Integral Calculus, Sequences and Series, Matrices and Eigenvalue Problems, Vector Spaces |
| 22CS1CI01 | Programming for Problem Solving | Core | 3 | Introduction to Programming, Control Structures, Functions and Arrays, Pointers and Strings, Structures and File I/O |
| 22EN1HS01 | English | Core | 2 | Reading Comprehension, Writing Skills, Grammar and Vocabulary, Technical Writing, Presentation Skills |
| 22AP1PL01 | Applied Physics Lab | Lab | 1 | Experiments on Lasers, Fiber Optics, Semiconductors, Magnetic Materials, Wave Phenomena |
| 22CS1CL01 | Programming for Problem Solving Lab | Lab | 1.5 | C Programming Basics, Conditional Statements, Loops and Functions, Arrays and Pointers Exercises, File Handling Programs |
| 22EN1HL01 | English Language Skills Lab | Lab | 1 | Listening Comprehension, Speaking Skills, Group Discussions, Public Speaking, Interview Skills |
| 22ME1ME01 | Engineering Graphics & Design (Introductory) | Core | 1.5 | Introduction to Engineering Graphics, Orthographic Projections, Isometric Projections, Sections of Solids, Introduction to CAD |
| 22HS1HS02 | Creativity & Liberal Arts / Universal Human Values | Mandatory Non-Credit Course | 0 | Self-exploration and Harmony, Values in Human Relationships, Societal Values, Nature and Existence, Professional Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CH2CY01 | Chemistry | Core | 3 | Electrochemistry and Corrosion, Water Technology, Polymers and Composites, Engineering Materials, Green Chemistry |
| 22MA2MT02 | Differential Equations and Vector Calculus | Core | 3 | First Order Differential Equations, Higher Order Linear Differential Equations, Partial Differential Equations, Vector Differentiation, Vector Integration |
| 22CS2CI02 | Data Structures | Core | 3 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting |
| 22EC2CO01 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory and Programmable Logic |
| 22CH2CL01 | Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Methods, Preparation of Materials, Water Quality Analysis, pH and Conductometric Titrations |
| 22CS2CL02 | Data Structures Lab | Lab | 1.5 | Array and Linked List Operations, Stack and Queue Implementations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Techniques |
| 22EC2CL01 | Digital Logic Design Lab | Lab | 1.5 | Logic Gates Verification, Combinational Circuit Design, Flip-Flops Implementation, Counters and Registers Design, Memory Interfacing |
| 22EE2ES01 | Workshop / Elements of Electrical & Electronics Engineering | Core | 1.5 | Basic Electrical Circuits, DC Machines, AC Machines, Semiconductor Devices, Basic Electronic Circuits |
| 22HS2HS01 | Indian Constitution / Environmental Science | Mandatory Non-Credit Course | 0 | Constitutional Framework, Fundamental Rights and Duties, Environmental Concepts, Pollution and Control, Sustainable Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA3MT03 | Discrete Mathematics | Core | 3 | Mathematical Logic, Set Theory and Relations, Functions and Combinatorics, Graph Theory, Algebraic Structures |
| 22IT3CI01 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, Multithreading and Collections |
| 22IT3CI02 | Computer Organization and Architecture | Core | 3 | Basic Computer Functions, CPU Organization, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| 22IT3CI03 | Database Management Systems | Core | 3 | Introduction to DBMS, Relational Model, SQL and PL/SQL, Database Design, Transaction Management and Concurrency Control |
| 22IT3CI04 | Data Communication and Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer, Transport and Application Layers |
| 22IT3CL01 | Object Oriented Programming Lab | Lab | 1.5 | Class and Object Implementations, Inheritance and Interface Programs, Polymorphism Concepts, Exception Handling Practices, GUI Programming Basics |
| 22IT3CL02 | Database Management Systems Lab | Lab | 1.5 | SQL DDL and DML Commands, Join Operations, Views and Stored Procedures, Triggers and Cursors, Database Connectivity (JDBC/ODBC) |
| 22IT3CL03 | Data Communication and Computer Networks Lab | Lab | 1.5 | Network Configuration Commands, Socket Programming, Packet Analysis using Wireshark, Routing Protocols Implementation, Client-Server Communication |
| 22IT3CI05 | Applied Python Programming / Communication Skills & Technical Report Writing | Skill Based | 1.5 | Python Fundamentals, Data Structures in Python, Functions and Modules, File Handling, Object-Oriented Python |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA4MT04 | Probability and Statistics | Core | 3 | Probability Distributions, Random Variables, Sampling Distributions, Hypothesis Testing, Correlation and Regression |
| 22IT4CI01 | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, File Systems and I/O |
| 22IT4CI02 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 22IT4CI03 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| 22IT4CI04 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 22IT4CL01 | Operating Systems Lab | Lab | 1.5 | Linux Commands, Shell Programming, Process Management Programs, CPU Scheduling Algorithms, Memory Allocation Techniques |
| 22IT4CL02 | Design and Analysis of Algorithms Lab | Lab | 1.5 | Sorting Algorithm Implementations, Searching Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions |
| 22IT4CL03 | Software Engineering Lab | Lab | 1.5 | Requirement Gathering Techniques, UML Diagram Design, Test Case Generation, Software Configuration Management, Project Documentation |
| 22HS4HS03 | Advanced Python Programming / Business Communication & Soft Skills | Skill Based | 1.5 | Advanced Python Modules (NumPy, Pandas), Web Scraping, Database Access in Python, REST APIs, GUI Development with Python |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT5CI01 | Web Technologies | Core | 3 | HTML, CSS, JavaScript, XML and JSON, Client-Side Scripting, Server-Side Technologies (e.g., PHP/Node.js), Web Services and APIs |
| 22IT5CI02 | Formal Languages and Automata Theory | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Computability |
| 22IT5PE0X | Professional Elective - I | Elective | 3 | Information Theory & Coding: Entropy, Source Coding, Channel Coding, Advanced Data Structures: Balanced Trees, Heaps, Hashing, Advanced Computer Architecture: Parallelism, Memory Systems, GPUs, Embedded Systems: Microcontrollers, RTOS, IoT Integration |
| 22IT5OE0X | Open Elective - I | Open Elective | 3 | Topics from other engineering disciplines or interdisciplinary areas |
| 22IT5MN01 | Mini Project / Internship | Project/Internship | 2 | Problem Identification, Project Design, Implementation and Testing, Report Writing, Presentation |
| 22IT5CL01 | Web Technologies Lab | Lab | 1.5 | HTML and CSS Layouts, JavaScript DOM Manipulation, Server-Side Scripting (PHP/Node.js), Database Connectivity for Web Apps, Frontend Framework Basics (e.g., React/Angular) |
| 22IT5CL0X | Professional Elective Lab - I | Lab | 1.5 | Practical application based on chosen Professional Elective - I |
| 22HS5HS01 | Environmental Science / Indian Constitution | Mandatory Non-Credit Course | 0 | Environmental Concepts, Pollution and Control, Sustainable Development, Constitutional Framework, Fundamental Rights and Duties |
| 22HS5SD01 | Yoga and Meditation / Sports and Games | Non-Credit Course | 0 | Basic Yoga Asanas, Meditation Techniques, Physical Fitness, Team Sports, Mental Wellness |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT6CI01 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Ensemble Methods, Model Evaluation and Deployment |
| 22IT6CI02 | Cryptography and Network Security | Core | 3 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Network Security Protocols, Cybersecurity Threats and Solutions |
| 22IT6PE0X | Professional Elective - II | Elective | 3 | Cloud Computing: Cloud Models, Virtualization, Services, Data Warehousing & Data Mining: Data Preprocessing, Association Rules, Classification, Soft Computing: Fuzzy Logic, Neural Networks, Genetic Algorithms, Cyber Security: Network Forensics, Ethical Hacking, Security Audits |
| 22IT6OE0X | Open Elective - II | Open Elective | 3 | Topics from other engineering disciplines or interdisciplinary areas |
| 22IT6PJ01 | Project-I / Internship | Project/Internship | 2 | Advanced Problem Solving, System Design and Architecture, Implementation and Testing, Technical Documentation, Presentation and Viva |
| 22IT6CL01 | Machine Learning Lab | Lab | 1.5 | Data Preprocessing with Python, Implementing Supervised Learning Models, Unsupervised Learning Techniques, Model Evaluation Metrics, Introduction to Deep Learning Frameworks |
| 22IT6CL02 | Cryptography and Network Security Lab | Lab | 1.5 | Symmetric Key Encryption Algorithms, Asymmetric Key Cryptography, Digital Signatures and Certificates, Firewall Configuration, Intrusion Detection Systems |
| 22IT6CL0X | Professional Elective Lab - II | Lab | 1.5 | Practical application based on chosen Professional Elective - II |
| 22HS6SD01 | Yoga and Meditation / Sports and Games | Non-Credit Course | 0 | Advanced Yoga Practices, Mindfulness Techniques, Fitness Training, Competitive Sports, Stress Management |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT7PE0X | Professional Elective - III | Elective | 3 | Big Data Analytics: Hadoop Ecosystem, Spark, NoSQL, Deep Learning: Neural Network Architectures, CNN, RNN, Image Processing: Image Enhancement, Segmentation, Feature Extraction, Block Chain Technologies: Cryptocurrencies, Smart Contracts, DApps |
| 22IT7PE0X | Professional Elective - IV | Elective | 3 | Distributed Systems: Architectures, Consensus, Fault Tolerance, Mobile Computing: Android/iOS Development, Wireless Technologies, Wireless Sensor Networks: Protocols, Data Aggregation, Security, Internet of Things: IoT Architecture, Protocols, Cloud Integration |
| 22IT7OE0X | Open Elective - III | Open Elective | 3 | Topics from other engineering disciplines or interdisciplinary areas |
| 22IT7SP01 | Socially Relevant Project / Internship | Project/Internship | 4 | Social Impact Project Design, Community Engagement, Sustainable Solutions Development, Field Work and Data Collection, Implementation and Impact Assessment |
| 22IT7CL0X | Professional Elective Lab - III | Lab | 1.5 | Practical application based on chosen Professional Elective - III |
| 22IT7IO01 | Industrial Oriented Project / Internship | Internship | 3 | Industry Problem Statement, Company-specific Project Development, Professional Workflows, Mentorship and Feedback, Final Project Report and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT8PE0X | Professional Elective - V | Elective | 3 | Artificial Intelligence: AI Agents, Search Algorithms, Knowledge Representation, Natural Language Processing: Text Preprocessing, Language Models, Machine Translation, Computer Forensics: Digital Evidence, Forensic Tools, Cybercrime Investigation, High Performance Computing: Parallel Architectures, Distributed Memory, Cluster Computing |
| 22IT8OE0X | Open Elective - IV | Open Elective | 3 | Topics from other engineering disciplines or interdisciplinary areas |
| 22IT8PJ02 | Major Project | Major Project | 5 | Comprehensive System Development, Advanced Research and Innovation, Project Management and Documentation, Deployment and Evaluation, Final Thesis and Defense |
| 22IT8SE01 | Seminar | Seminar | 1 | Literature Survey, Technical Presentation, Research Methodology, Critical Analysis, Communication Skills |
