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B-TECH in Information Technology It at Gokaraju Rangaraju Institute of Engineering and Technology
Medchal, Telangana
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About the Specialization
What is Information Technology (IT) at Gokaraju Rangaraju Institute of Engineering and Technology Medchal?
This B.Tech Information Technology program at Gokaraju Rangaraju Institute of Engineering and Technology focuses on equipping students with a robust foundation in computing, networking, and software development, essential for India''''s booming digital economy. The curriculum integrates core IT principles with emerging technologies like AI, Machine Learning, and Cloud Computing, preparing graduates for diverse roles in the rapidly evolving Indian tech landscape.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for problem-solving and logical reasoning, keen to embark on careers in software development, data science, cybersecurity, or network administration. It attracts fresh 12th-grade graduates eager to innovate in technology and working professionals seeking to upskill in cutting-edge IT domains for career advancement in the Indian market.
Why Choose This Course?
Graduates of this program can expect to secure promising career paths as Software Developers, Data Analysts, Network Engineers, Cybersecurity Specialists, or IT Consultants in top Indian and multinational companies. Entry-level salaries typically range from INR 4-8 LPA, with significant growth potential up to INR 15-25 LPA or more with experience. The program aligns with industry-recognized certifications, enhancing employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C & Python)- (Semester 1-2)
Dedicate significant time to understanding core programming concepts in C and Python. Practice extensively on platforms like HackerRank and CodeChef to build logical thinking and problem-solving skills.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks C/Python tutorials, Jupyter Notebooks
Career Connection
A strong foundation in programming is crucial for all IT roles, forming the bedrock for advanced subjects and excelling in technical interviews for placements.
Build Strong Mathematical & Scientific Aptitude- (Semester 1-2)
Focus on clarity in Linear Algebra, Calculus, Probability, and Statistics. These form the quantitative basis for advanced AI, ML, and Data Science. Regularly solve problems from textbooks and online quizzes.
Tools & Resources
Khan Academy, NPTEL courses on Mathematics, MIT OpenCourseware, Schaum''''s Outlines
Career Connection
Essential for roles in Data Science, Machine Learning, and any field requiring analytical thinking and algorithm design, providing a competitive edge in research and development.
Engage in Technical Clubs & Workshops- (Semester 1-2)
Join student technical clubs (e.g., coding clubs, robotics clubs) to work on mini-projects, participate in hackathons, and learn collaboratively. Attend college-organized workshops on emerging technologies.
Tools & Resources
College Coding Clubs, Departmental Workshops, GitHub for collaborative projects
Career Connection
Develops teamwork, practical application skills, and introduces new technologies early, enhancing your resume and interview anecdotes for internships.
Intermediate Stage
Deep Dive into Data Structures & Algorithms (DSA)- (Semester 3-5)
After foundational programming, dedicate consistent effort to mastering Data Structures and Algorithms. Solve problems on platforms like LeetCode and InterviewBit daily to improve efficiency and complexity analysis.
Tools & Resources
LeetCode, InterviewBit, Grokking Algorithms book, Online DSA courses
Career Connection
DSA proficiency is the single most critical skill for cracking technical interviews at product-based companies and securing high-paying software development roles in India.
Undertake Mini-Projects & Learn Version Control- (Semester 3-5)
Start building small, practical projects related to your coursework (e.g., a simple web app, a database system, a digital logic circuit simulation). Learn and actively use Git for version control and collaborate on GitHub.
Tools & Resources
GitHub, VS Code, Project-based tutorials (e.g., freeCodeCamp), Docker for deployment
Career Connection
Demonstrates practical skills to potential employers, builds a portfolio, and develops crucial collaborative development skills valued in all tech companies.
Explore Core IT Domains (DBMS, OS, Networking)- (Semester 3-5)
Beyond theoretical knowledge, seek to understand the practical implications and real-world applications of Database Management Systems, Operating Systems, and Computer Networks. Participate in relevant labs and advanced topics.
Tools & Resources
MySQL/PostgreSQL, Linux command line, Wireshark, NPTEL courses on core subjects
Career Connection
Provides a holistic understanding of IT infrastructure, essential for roles in backend development, system administration, network engineering, and troubleshooting.
Advanced Stage
Specialization through Electives and Certifications- (Semester 6-8)
Strategically choose professional and open electives to align with your career interests (e.g., AI/ML, Cybersecurity, Cloud Computing). Pursue industry certifications relevant to your chosen specialization from platforms like AWS, Microsoft Azure, Google Cloud, or Cisco.
Tools & Resources
Coursera, Udemy, edX, Official certification websites (AWS, Azure, CCNA)
Career Connection
Deepens expertise in a high-demand area, validates skills with industry-recognized credentials, and significantly boosts employability for specialized roles.
Intensive Internship & Capstone Project- (Semester 6-8)
Secure a meaningful summer internship (or multiple short-term internships) in your area of interest. Dedicate significant effort to your final year project/dissertation, aiming for innovation and practical impact. Document thoroughly and present effectively.
Tools & Resources
Internshala, LinkedIn for internships, Company career portals, Research papers/journals
Career Connection
Real-world experience and a strong capstone project are paramount for showcasing practical skills, problem-solving abilities, and securing full-time placements.
Placement Preparation & Soft Skills Refinement- (Semester 6-8)
Actively participate in campus placement drives. Practice aptitude tests, mock interviews (technical and HR), and group discussions. Refine your communication, presentation, and negotiation skills through workshops and peer feedback.
Tools & Resources
Online aptitude test platforms, Mock interview services, Toastmasters (if available), GRIET Placement Cell resources
Career Connection
Ensures readiness for the competitive job market, converts technical skills into career opportunities, and helps secure desired roles in top IT firms across India.
Program Structure and Curriculum
Eligibility:
- Passed Intermediate Public Examination of Board of Intermediate Education, Telangana State (or equivalent) with Mathematics, Physics and Chemistry OR A Diploma in Engineering and Technology awarded by the State Board of Technical Education & Training, Telangana State (or equivalent).
Duration: 4 years (8 Semesters)
Credits: 150 Credits
Assessment: Internal: 30% (Theory & Practical), 40% (Project Work), 50% (Seminar), External: 70% (Theory & Practical), 60% (Project Work), 50% (Seminar)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 101MA01 | Linear Algebra & Calculus | Core | 4 | Linear Equations & Matrices, Eigenvalue Problems, Differential Calculus, Integral Calculus, Vector Differentiation |
| 101PH01 | Applied Physics | Core | 4 | Wave Optics, Lasers, Fiber Optics, Quantum Mechanics, Nanotechnology |
| 101CH01 | Engineering Chemistry | Core | 4 | Electrochemistry & Batteries, Corrosion & Control, Water Treatment, Polymers & Composites, Fuels & Combustion |
| 101CS01 | Programming for Problem Solving | Core | 3 | Introduction to C Language, Control Structures, Functions & Recursion, Arrays & Pointers, Structures & Unions, File Handling |
| 101EN01 | English for Skill Enhancement | Core | 2 | Grammar & Vocabulary, Reading Comprehension, Writing Skills, Listening Skills, Oral Communication |
| 101PH71 | Applied Physics Lab | Lab | 1 | Optical Experiments, Semiconductor Devices, Electrical Measurements, Magnetic Properties, Laser Characteristics |
| 101CH71 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Water Analysis, Viscosity & Surface Tension, pH Metry & Conductometry, Preparation of Polymers |
| 101CS71 | Programming for Problem Solving Lab | Lab | 1 | C Program Execution, Conditional Statements, Looping Constructs, Functions & Arrays Practice, Pointers & File Operations |
| 101EN71 | English Language Skills Lab | Lab | 1 | Pronunciation & Intonation, Situational Dialogues, Presentations, Group Discussions, Public Speaking |
| 101MC01 | Induction Program | Mandatory Course | 0 | Campus Familiarization, Human Values, Mentoring Sessions, Creative Arts, Physical Activity |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 102MA01 | Probability & Statistics | Core | 4 | Basic Probability, Random Variables & Distributions, Sampling Distributions, Hypothesis Testing, Correlation & Regression |
| 102IT01 | Python Programming | Core | 3 | Python Fundamentals, Control Flow & Functions, Data Structures (Lists, Tuples, Dictionaries), Object-Oriented Programming, Modules & Packages, File Handling |
| 102EE01 | Basic Electrical Engineering | Core | 3 | DC Circuits Analysis, AC Circuits Analysis, Transformers, DC Machines, AC Machines, Electrical Safety |
| 102EC01 | Electronic Devices & Circuits | Core | 3 | PN Junction Diode, Bipolar Junction Transistors, Rectifiers & Filters, Amplifiers, Oscillators |
| 102ME01 | Engineering Graphics | Core | 3 | Orthographic Projections, Projections of Solids, Sectional Views, Isometric Projections, Development of Surfaces, Introduction to AutoCAD |
| 102IT71 | Python Programming Lab | Lab | 1 | Python Syntax & Data Types, Control Flow Implementation, Functions & Modules, Object-Oriented Programming Concepts, File Operations |
| 102EE71 | Basic Electrical Engineering Lab | Lab | 1 | Circuit Laws Verification, AC Circuit Measurements, Transformer Characteristics, Motor Performance Testing, House Wiring |
| 102EC71 | Electronic Devices & Circuits Lab | Lab | 1 | Diode Characteristics, Transistor Characteristics, Rectifier Circuits, Amplifier Circuits, Oscillator Circuits |
| 102IT72 | IT Workshop | Lab | 1 | PC Hardware & Assembly, Operating System Installation, Networking Basics, Productivity Tools (MS Office), Web Fundamentals |
| 102MC01 | Environmental Science | Mandatory Course | 0 | Ecosystems & Biodiversity, Environmental Pollution, Natural Resources, Renewable Energy, Environmental Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 103MA01 | Discrete Mathematics | Core | 3 | Mathematical Logic, Set Theory & Functions, Relations & Posets, Graph Theory, Algebraic Structures |
| 103CS01 | Data Structures | Core | 3 | Introduction to Data Structures, Linked Lists, Stacks & Queues, Trees & Binary Search Trees, Graphs & Traversal, Sorting & Searching |
| 103IT01 | Digital Logic Design | Core | 3 | Number Systems & Codes, Boolean Algebra & Logic Gates, Combinational Circuits, Sequential Circuits (Flip-Flops), Registers & Counters |
| 103IT02 | Computer Organization & Architecture | Core | 3 | Basic Computer Organization, CPU Design, Memory Organization, Input/Output Organization, Instruction Pipelining |
| 103IT03 | Object Oriented Programming through Java | Core | 3 | Java Fundamentals, Classes & Objects, Inheritance & Polymorphism, Packages & Interfaces, Exception Handling, Collections Framework |
| 103CS71 | Data Structures Lab | Lab | 1.5 | Array Implementations, Linked List Operations, Stack & Queue Applications, Tree & Graph Traversals, Sorting & Searching Algorithms |
| 103IT71 | Digital Logic Design Lab | Lab | 1.5 | Logic Gates Verification, Combinational Circuits Design, Flip-Flop Implementations, Counter Circuits, Register Design |
| 103IT72 | Object Oriented Programming Lab | Lab | 1.5 | Java Basics & Control Flow, OOP Concepts in Java, Exception Handling Practice, File I/O Operations, GUI Programming with AWT/Swing |
| 103MC01 | Constitution of India | Mandatory Course | 0 | Preamble & Fundamental Rights, Directive Principles of State Policy, Union & State Governments, Indian Judiciary System, Constitutional Amendments |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 104MA01 | Complex Analysis and Fourier Analysis | Core | 3 | Complex Numbers & Functions, Analytic Functions, Complex Integration, Power Series, Fourier Series, Fourier Transforms |
| 104CS01 | Operating Systems | Core | 3 | Operating System Concepts, Process Management & CPU Scheduling, Deadlocks, Memory Management, File Systems, I/O Systems |
| 104IT01 | Database Management Systems | Core | 3 | Introduction to DBMS, Entity-Relationship Model, Relational Model & Algebra, SQL & PL/SQL, Normalization, Transaction Management & Concurrency Control |
| 104IT02 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions & Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| 104IT03 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Software Design, Software Testing Strategies, Software Project Management, Maintenance & Reengineering |
| 104IT71 | Database Management Systems Lab | Lab | 1.5 | SQL DDL & DML Commands, Advanced SQL Queries, PL/SQL Programming, Triggers & Procedures, Database Connectivity (JDBC/ODBC) |
| 104IT72 | Operating Systems Lab | Lab | 1.5 | Linux Commands & Shell Scripting, Process Management, CPU Scheduling Algorithms, Inter-process Communication, Memory Allocation |
| 104IT73 | Advanced Communication Skills Lab | Lab | 1 | Public Speaking & Presentations, Group Discussions, Interview Skills, Resume Writing, Professional Etiquette |
| 104MC01 | Intellectual Property Rights | Mandatory Course | 0 | Introduction to IPR, Patents, Trademarks, Copyrights & Industrial Designs, Trade Secrets, IPR in Digital World |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 105IT01 | Data Communication & Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical & Data Link Layer, Network Layer & IP Addressing, Transport Layer (TCP, UDP), Application Layer Protocols, Network Security Basics |
| 105IT02 | Web Technologies | Core | 3 | HTML5 & CSS3, JavaScript & DOM, XML & AJAX, Web Servers (Apache, Nginx), Web Services, Responsive Design |
| 105IT03 | Artificial Intelligence | Core | 3 | Introduction to AI, Intelligent Agents, Search Algorithms (DFS, BFS, A*), Knowledge Representation, Logical Reasoning, Introduction to Machine Learning |
| 105PE01 | Data Warehousing & Data Mining (Professional Elective - I) | Elective | 3 | Data Warehousing Concepts, OLAP & Data Cubes, Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Techniques |
| 105OE01 | Data Analytics (Open Elective - I) | Elective | 3 | Data Collection & Cleaning, Exploratory Data Analysis, Statistical Methods for Data Analysis, Data Visualization, Predictive Modeling, Tools for Data Analytics |
| 105IT71 | Data Communication & Computer Networks Lab | Lab | 1 | Network Configuration, Protocol Analysis (Wireshark), Socket Programming, Routing Protocols Implementation, Network Security Tools |
| 105IT72 | Web Technologies Lab | Lab | 1 | HTML & CSS Layouts, JavaScript DOM Manipulation, Web Forms & Validation, AJAX Implementation, Frontend Framework Basics |
| 105IT73 | Artificial Intelligence Lab | Lab | 1 | Search Algorithm Implementation, Constraint Satisfaction Problems, Logic Programming (Prolog), Basic AI Agent Development, Introduction to ML Libraries |
| 105IT74 | Mini Project - I | Project | 2 | Problem Definition, System Design, Implementation & Coding, Testing & Debugging, Project Documentation |
| 105MC01 | Essence of Indian Traditional Knowledge | Mandatory Course | 0 | Introduction to Indian Knowledge Systems, Ayurveda & Yoga, Traditional Architecture & Arts, Indian Philosophy, Environmental Concepts in India |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 106IT01 | Information Security | Core | 3 | Cryptography & Ciphers, Network Security Protocols, Web Security, Malware & Cyber Attacks, Firewalls & IDS/IPS, Security Policies |
| 106IT02 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation & Selection, Ensemble Methods, Introduction to Deep Learning |
| 106PE02 | Cloud Computing (Professional Elective - II) | Elective | 3 | Cloud Computing Concepts, Virtualization Technology, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Cloud Security Challenges, Cloud Platforms Overview |
| 106PE03 | Data Science (Professional Elective - III) | Elective | 3 | Introduction to Data Science, Data Preprocessing & Cleaning, Statistical Inferences, Machine Learning Algorithms for Data Science, Data Visualization Techniques, Big Data Technologies |
| 106OE02 | Cyber Security (Open Elective - II) | Elective | 3 | Introduction to Cyber Security, Cryptography Fundamentals, Network Security Threats, Web Application Security, Ethical Hacking Concepts, Digital Forensics |
| 106IT71 | Information Security Lab | Lab | 1 | Cryptography Tool Usage, Network Scanning & Vulnerability Assessment, Firewall Configuration, Intrusion Detection Systems, Web Security Testing |
| 106IT72 | Machine Learning Lab | Lab | 1 | Python Libraries for ML (Scikit-learn), Implementing Supervised Models, Implementing Unsupervised Models, Data Preprocessing & Visualization, Model Evaluation Metrics |
| 106IT73 | Summer Internship (Industrial Training) | Internship | 1.5 | Industry Exposure, Project Work, Report Writing, Presentation Skills, Professional Networking |
| 106MC01 | Indian Constitution and Traditional Knowledge | Mandatory Course | 0 | Indian Constitutional Framework, Fundamental Rights & Duties, Traditional Indian Sciences, Arts & Literature in India, Ethical Values in Indian Tradition |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 107IT01 | Data Analytics | Core | 3 | Introduction to Data Analytics, Data Preprocessing & Transformation, Statistical Analysis for Data, Predictive Modeling, Big Data Technologies, Data Visualization & Reporting |
| 107PE04 | Deep Learning (Professional Elective - IV) | Elective | 3 | Neural Network Fundamentals, Backpropagation Algorithm, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks (TensorFlow, PyTorch), Generative Models |
| 107PE05 | Full Stack Development (Professional Elective - V) | Elective | 3 | Frontend Development (HTML, CSS, JavaScript), Backend Development (Node.js/Python), Database Management (SQL/NoSQL), API Design & Development, Deployment & Hosting, Version Control (Git) |
| 107OE03 | Project Management (Open Elective - III) | Elective | 3 | Project Life Cycle, Project Planning & Scheduling, Risk Management, Quality Management, Resource Management, Agile Project Management |
| 107IT71 | Data Analytics Lab | Lab | 1.5 | Data Manipulation with Pandas, Statistical Analysis with SciPy, Data Visualization with Matplotlib/Seaborn, Machine Learning Model Application, Big Data Tool Exploration |
| 107IT72 | Project - II / Industry Oriented Project | Project | 4 | Problem Identification & Research, System Design & Architecture, Development & Implementation, Testing & Validation, Project Documentation & Presentation |
| 107IT73 | Seminar | Seminar | 1 | Technical Research, Literature Review, Presentation Skills, Report Writing, Q&A Handling |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 108PE06 | Robotic Process Automation (Professional Elective - VI) | Elective | 3 | Introduction to RPA, Process Identification & Design, RPA Development Tools (UiPath/Automation Anywhere), Bot Deployment & Monitoring, RPA Best Practices, Cognitive RPA |
| 108PR01 | Project Work / Dissertation | Project | 6 | Comprehensive Problem Solving, Advanced System Design, Extensive Implementation, Rigorous Testing & Evaluation, Thesis Writing & Viva Voce, Innovation & Research Contribution |
