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B-TECH in Information Technology at TKR College of Engineering & Technology
Ranga Reddy, Telangana
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About the Specialization
What is Information Technology at TKR College of Engineering & Technology Ranga Reddy?
This Information Technology (IT) program at TKR College of Engineering & Technology focuses on equipping students with a robust foundation in computing, software development, data management, and network technologies. It is meticulously designed to meet the dynamic demands of the Indian IT industry, emphasizing practical skills and theoretical knowledge necessary for innovation. The curriculum integrates core computer science principles with specialized IT subjects, preparing graduates for various roles in technology.
Who Should Apply?
This program is ideal for fresh graduates from intermediate or 10+2 with a strong aptitude for mathematics and problem-solving, aspiring to build a career in the rapidly evolving IT sector. It also caters to those seeking to transition into software development, data science, or network administration roles. Students with a keen interest in logical reasoning, algorithmic thinking, and digital innovation will thrive in this curriculum.
Why Choose This Course?
Graduates of this program can expect to secure lucrative career paths in India as Software Developers, Data Analysts, Network Engineers, Cybersecurity Specialists, or Cloud Architects. Entry-level salaries typically range from INR 3.5 to 6 LPA, with significant growth potential up to 15-25 LPA or more for experienced professionals in leading Indian IT firms and MNCs. The program also aligns with certifications in cloud platforms, cybersecurity, and data science, enhancing employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate extensive time to mastering C and Python programming, understanding fundamental data structures and basic algorithms. Practice daily coding challenges to solidify concepts and improve logical thinking.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Python documentation, Competitive programming platforms
Career Connection
Strong foundational coding skills are crucial for all IT roles, serving as the bedrock for technical interviews and complex project development throughout your career.
Develop Strong Problem-Solving Acumen- (Semester 1-2)
Beyond classroom assignments, actively engage in solving logical and mathematical problems. Participate in junior-level coding contests and explore online math puzzles to enhance analytical abilities.
Tools & Resources
CodeChef, TopCoder, University coding clubs, Online math puzzle sites like Project Euler
Career Connection
This practice refines analytical thinking, a critical skill for debugging, designing efficient algorithms, and excelling in technical interviews for leading companies.
Build a Peer Learning Network- (Semester 1-2)
Form active study groups with classmates, regularly discuss challenging concepts, and collaborate on lab assignments. Teach each other difficult topics to deepen understanding and gain diverse perspectives.
Tools & Resources
WhatsApp groups, Discord channels, College library resources, Department common rooms for collaborative study
Career Connection
Fosters teamwork, communication skills, and creates a robust support system vital for academic success and future collaborative work environments in the IT industry.
Intermediate Stage
Gain Practical Exposure via Mini-Projects- (Semester 3-5)
Proactively apply theoretical knowledge from Java, DBMS, Operating Systems, and Computer Networks by developing small, functional applications or system utilities. Use version control for all projects.
Tools & Resources
GitHub for version control, Integrated Development Environments (Eclipse, IntelliJ), SQL databases (MySQL, PostgreSQL), Linux OS, Docker for deployment
Career Connection
Building a portfolio of practical projects demonstrates hands-on skills to recruiters, strengthens core subject understanding, and provides tangible examples of your capabilities.
Participate in Workshops & Certifications- (Semester 4-5)
Attend industry-led workshops on emerging technologies like Web Development frameworks, AI/ML basics, or Cloud Computing platforms. Pursue foundational certifications to validate your skills.
Tools & Resources
NPTEL courses, Coursera/Udemy specialized tracks, Specific vendor certifications (AWS/Azure student programs), College-organized technical events
Career Connection
Provides specialized skills, offers industry-recognized credentials, and opens doors to networking opportunities with professionals, significantly boosting employability.
Cultivate Communication & Presentation Skills- (Semester 3-5)
Actively participate in technical presentations, group discussions, and departmental club activities. Seek opportunities to explain complex technical concepts clearly and concisely.
Tools & Resources
Toastmasters (if available at college), College debate or presentation clubs, Seminar courses, Peer feedback sessions for public speaking
Career Connection
Essential for professional communication, client interaction, and successfully articulating project ideas and outcomes in various professional settings, crucial for career progression.
Advanced Stage
Undertake Industry Internships & Capstone Project- (Semester 6-8)
Secure a relevant industry internship to gain invaluable real-world experience. Dedicate significant effort to a substantial final year project, aiming for an innovative and impactful solution.
Tools & Resources
LinkedIn for job search, College placement cell resources, Industry contacts and alumni network, Project management tools like Jira or Trello
Career Connection
Transforms theoretical knowledge into practical expertise, often leading to pre-placement offers (PPOs) and providing a strong competitive edge in the job market.
Specialize in an Emerging Technology Domain- (Semester 6-7)
Deep dive into a professional elective area such as AI, Machine Learning, Cybersecurity, Blockchain, or IoT. Build expertise through advanced projects and continuous learning in your chosen niche.
Tools & Resources
Advanced online courses (edX, Udacity), Research papers and technical journals, Specialized tools (TensorFlow, Solidity, Metasploit, etc.), Industry conferences
Career Connection
Positions graduates as domain specialists, opens doors to niche roles, and demonstrates advanced skill sets highly valued by leading tech companies, fostering rapid career growth.
Prepare for Placements & Higher Education- (Semester 7-8)
Focus intensely on resume building, participating in mock interviews, and practicing aptitude tests. If considering higher studies, prepare for competitive exams like GRE or GATE.
Tools & Resources
College placement cell mock interviews, Interview preparation platforms (Glassdoor, Naukri), Career counselors, Alumni mentors for guidance, Test prep materials
Career Connection
Optimizes chances for successful placements in desired companies or securing admissions to top graduate programs in India or abroad, laying a strong foundation for future aspirations.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 (Intermediate) with Mathematics, Physics, and Chemistry/Biology/Biotechnology or equivalent, and obtained a valid rank in TS-EAMCET or JEE Main.
Duration: 4 years / 8 semesters
Credits: 164 Credits
Assessment: Internal: Theory: 30%, Lab/Project: 40%, External: Theory: 70%, Lab/Project: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA101BS | Matrices and Calculus | Core | 4 | Matrices and System of Linear Equations, Eigenvalues and Eigenvectors, Calculus of Single Variable, Multivariable Calculus (Partial Differentiation), Vector Calculus |
| 22AP102BS | Applied Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Semiconductor Physics, Magnetic and Dielectric Properties |
| 22CS103ES | Programming for Problem Solving | Core | 3 | Introduction to Programming and C Language, Control Structures, Functions and Arrays, Pointers and Strings, Structures, Unions, and File Handling |
| 22EE104ES | Basic Electrical Engineering | Core | 3 | DC Circuits Analysis, AC Circuits Analysis (Single Phase), Three-Phase AC Circuits, Electrical Machines (DC, AC), Electrical Installations and Safety |
| 22EN105HS | English for Skill Enhancement | Core | 2 | Reading Comprehension, Writing Skills (Paragraph, Essay, Email), Grammar and Vocabulary Building, Functional English, Professional Communication Strategies |
| 22CS106ES | Programming for Problem Solving Lab | Lab | 1.5 | C Programming Basics, Conditional Statements and Loops, Functions and Recursion, Arrays and Pointers Operations, File I/O and Structures |
| 22AP107BS | Applied Physics Lab | Lab | 1.5 | Fiber Optics Characteristics, Laser Diffraction Studies, Semiconductor Device Characteristics, Photoelectric Effect, Magnetic Field Measurements |
| 22EN108HS | English Language and Communication Skills Lab | Lab | 1 | Phonetics and Pronunciation, Public Speaking and Presentations, Group Discussions, Interview Skills, Role Plays and Situational Dialogues |
| 22ME109ES | Engineering Workshop | Lab | 1.5 | Carpentry and Fitting, Welding Techniques, House Wiring and Electrical Safety, Sheet Metal Operations, Basic Machining Operations |
| 22CS110ES | IT Workshop/Computer Hardware & Software Lab | Lab | 1.5 | PC Hardware Components, Operating System Installation, Networking Basics (LAN, IP config), Productivity Tools (MS Office/LibreOffice), Troubleshooting and Maintenance |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA201BS | Ordinary Differential Equations and Vector Calculus | Core | 4 | First Order Ordinary Differential Equations, Higher Order Linear ODEs, Laplace Transforms, Vector Differentiation, Vector Integration |
| 22CH202BS | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry and Batteries, Corrosion and its Control, Fuels and Combustion, Material Science (Polymers, Nanomaterials) |
| 22CS203ES | Data Structures | Core | 3 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal Algorithms |
| 22CS204ES | Engineering Graphics & Design | Core | 2 | Orthographic Projections, Projections of Points, Lines, Planes, Projections of Solids, Isometric Views, Introduction to AutoCAD |
| 22EC205ES | Electronic Devices and Circuits | Core | 3 | Semiconductor Diodes and Rectifiers, Bipolar Junction Transistors (BJTs), Field-Effect Transistors (FETs), Amplifiers (BJT and FET), Oscillators and Feedback Amplifiers |
| 22CS206ES | Data Structures Lab | Lab | 1.5 | Array and String Manipulations, Linked List Implementations, Stack and Queue Applications, Tree Traversal Algorithms, Graph Algorithms (DFS, BFS) |
| 22CH207BS | Engineering Chemistry Lab | Lab | 1.5 | Water Quality Analysis, Titrations (Acid-Base, Redox), Viscosity and Surface Tension Measurement, Corrosion Rate Determination, Polymer Synthesis and Characterization |
| 22EC208ES | Electronic Devices and Circuits Lab | Lab | 1.5 | Diode Characteristics, Rectifier Circuits (Half-wave, Full-wave), Transistor Biasing and Amplification, FET Characteristics, Oscillator Circuits |
| 22CS209ES | Python Programming Lab | Lab | 1.5 | Python Basics and Data Types, Control Structures and Functions, Lists, Tuples, Dictionaries, File Handling and Exception Handling, Modules and Packages |
| 22CS210ES | Environment Science | Core | 0 | Ecosystems and Biodiversity, Natural Resources, Environmental Pollution, Social Issues and the Environment, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA301BS | Laplace Transforms, Numerical Methods & Complex Variables | Core | 4 | Laplace Transforms and Applications, Fourier Series and Transforms, Numerical Methods for Solving Equations, Complex Differentiation and Integration, Series Expansions for Complex Functions |
| 22IT302PC | Discrete Mathematics | Core | 3 | Mathematical Logic and Proof Techniques, Set Theory and Relations, Functions and Recurrence Relations, Graph Theory, Algebraic Structures (Groups, Rings) |
| 22CS303PC | Analog and Digital Electronics | Core | 3 | Op-Amps and their Applications, Digital Logic Families, Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits (Flip-flops, Counters) |
| 22CS304PC | Object Oriented Programming through Java | Core | 3 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Packages and Interfaces, Exception Handling and Multithreading, Collection Framework and GUI Programming |
| 22IT305PC | Computer Organization and Architecture | Core | 3 | Basic Structure of Computers, Central Processing Unit (CPU), Memory Organization, Input/Output Organization, Pipelining and Parallel Processing |
| 22CS306PC | Analog and Digital Electronics Lab | Lab | 1.5 | Op-Amp Characteristics and Applications, Logic Gates and Boolean Functions, Combinational Circuit Design (Adders, Decoders), Sequential Circuit Design (Counters, Registers), ADC/DAC Converters |
| 22CS307PC | Object Oriented Programming through Java Lab | Lab | 1.5 | Java Basics and Classes, Inheritance and Interfaces, Exception Handling Programs, Multithreading and Synchronization, GUI Applications with AWT/Swing |
| 22CS308PC | Data Base Management Systems Lab | Lab | 1.5 | DDL and DML Commands in SQL, Constraints and Joins, Views and Stored Procedures, Triggers and Cursors, Report Generation |
| 22CS309PC | Computer Organization and Architecture Lab | Lab | 1.5 | Assembly Language Programming (8086), Data Transfer and Arithmetic Operations, Logic and Bit Manipulation, Interfacing I/O Devices, Memory Addressing Modes |
| 22SM310MC | Gender Sensitization | Mandatory Non-Credit Course | 0 | Understanding Gender and Patriarchy, Gender Roles and Relationships, Sexual Harassment and Laws, Gender and Media, Working with and for Savitribai Phule |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS401PC | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management and CPU Scheduling, Process Synchronization and Deadlocks, Memory Management, File Systems and I/O Management |
| 22CS402PC | Database Management Systems | Core | 3 | Database System Concepts and Architecture, ER Model and Relational Model, SQL Query Language, Normalization and Schema Design, Transaction Processing and Concurrency Control |
| 22CS403PC | Design and Analysis of Algorithms | Core | 3 | Introduction to Algorithms and Complexity, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| 22IT404PC | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| 22CS405PC | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| 22CS406PC | Operating Systems Lab | Lab | 1.5 | Linux Commands and Shell Scripting, Process Creation and Management, Inter-process Communication, CPU Scheduling Algorithms, Memory Allocation Techniques |
| 22CS407PC | Computer Networks Lab | Lab | 1.5 | Network Configuration Commands, Socket Programming (TCP/UDP), Packet Sniffing and Analysis, Routing Protocols Implementation, DNS and HTTP Simulations |
| 22IT408PC | Software Engineering Lab | Lab | 1.5 | Software Requirements Specification (SRS), UML Diagrams for Design, Software Testing Techniques, Version Control Systems (Git), Project Planning and Management Tools |
| 22CS409PW | Mini Project | Core | 2 | Problem Identification and Scope Definition, System Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
| 22SM410MC | Essence of Indian Traditional Knowledge | Mandatory Non-Credit Course | 0 | Vedic Period and Culture, Indian Philosophical Systems, Indian Sciences and Mathematics, Indian Art and Architecture, Modern Indian Thinkers |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22HS501HS | Business Economics & Financial Analysis | Core | 3 | Introduction to Business Economics, Demand, Supply and Market Equilibrium, Production and Cost Analysis, Financial Accounting and Analysis, Capital Budgeting |
| 22CS502PC | Web Technologies | Core | 3 | HTML and CSS Fundamentals, JavaScript and DOM Manipulation, XML and AJAX, Server-Side Scripting (PHP/Node.js concepts), Web Services and APIs |
| 22IT503PC | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Problem Solving through Search, Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing Fundamentals |
| 22IT504PE | Professional Elective - I | Elective | 3 | Data Analytics (Data Collection, Cleaning, Visualization, Statistical Analysis, Predictive Modeling, Tools), Information Retrieval Systems (IR Models, Indexing, Query Processing, Ranking, Evaluation, Web IR), Microprocessors and Microcontrollers (8086 Architecture, Assembly Language, Interrupts, Peripherals, Microcontrollers, Interfacing), Advanced Computer Architecture (Pipelining, Vector Processors, Multiprocessors, Memory Organization, Parallel Processing) |
| 22IT505OE | Open Elective - I | Elective | 3 | |
| 22CS506PC | Web Technologies Lab | Lab | 1.5 | HTML/CSS Page Design, JavaScript Interactive Elements, XML Document Creation and Parsing, AJAX Requests, Web Form Validation |
| 22IT507PC | Artificial Intelligence Lab | Lab | 1.5 | Python AI Libraries (Numpy, Pandas), Search Algorithms Implementation, Knowledge Representation Techniques, Simple Machine Learning Models, Prolog/LISP Exercises |
| 22IT508PC | Competitive Programming Lab | Lab | 1.5 | Basic Algorithmic Problem Solving, Data Structures for Competitive Programming, Time and Space Complexity Analysis, Optimization Techniques, Contest-Style Problem Solving |
| 22SM509MC | Indian Constitution | Mandatory Non-Credit Course | 0 | Preamble and Basic Structure, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Governments, Constitutional Amendments |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT601PC | Cryptography and Network Security | Core | 3 | Introduction to Cryptography, Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPSec) |
| 22IT602PC | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Ensemble Methods, Neural Networks and Deep Learning Basics |
| 22IT603PE | Professional Elective - II | Elective | 3 | Big Data Technologies (Hadoop Ecosystem, HDFS, MapReduce, Spark, Data Warehousing, Data Lakes), Cloud Computing (Cloud Models, Virtualization, Cloud Security, AWS/Azure/GCP services), Soft Computing (Fuzzy Logic, Neural Networks, Genetic Algorithms, Hybrid Systems, Evolutionary Computing), Mobile Application Development (Android/iOS basics, UI/UX, Data Storage, APIs, Sensors, Deployment) |
| 22IT604PE | Professional Elective - III | Elective | 3 | Natural Language Processing (Text Preprocessing, N-grams, Word Embeddings, POS Tagging, Sentiment Analysis, Text Generation), Distributed Systems (IPC, Remote Invocation, Client-Server, Peer-to-Peer, Consensus, Fault Tolerance, Load Balancing), Data Warehousing and Data Mining (Data Warehouse Architecture, OLAP, Data Mining Techniques, Association Rules, Classification, Clustering), Computer Graphics (Primitives, Transformations, Viewing, Shading, Texture Mapping, Animation, VR) |
| 22IT605OE | Open Elective - II | Elective | 3 | |
| 22IT606PC | Cryptography and Network Security Lab | Lab | 1.5 | Symmetric Key Algorithm Implementation, Asymmetric Key Algorithm Implementation, Digital Signature Generation and Verification, Network Scanning and Vulnerability Assessment, Firewall Rule Configuration |
| 22IT607PC | Machine Learning Lab | Lab | 1.5 | Supervised Learning Models Implementation, Unsupervised Learning Models Implementation, Feature Engineering and Selection, Model Evaluation Metrics, Using Scikit-learn and TensorFlow/Keras |
| 22IT608PW | Industrial Project / Internship | Core | 2 | Real-world Problem Solving, Project Planning and Execution, Technical Report Writing, Presentation Skills, Industry Best Practices |
| 22SM609MC | Environmental Science | Mandatory Non-Credit Course | 0 | Ecosystems and Biodiversity, Natural Resources and Conservation, Environmental Pollution and Control, Global Environmental Issues, Sustainable Development Goals |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT701PC | Block Chain Technology | Core | 3 | Fundamentals of Blockchain, Cryptographic Primitives for Blockchain, Consensus Mechanisms, Bitcoin and Ethereum Platforms, Smart Contracts and DApps |
| 22IT702PE | Professional Elective - IV | Elective | 3 | Internet of Things (IoT Architecture, Sensors, Actuators, Communication Protocols, Data Analytics, Security, Cloud Integration), Deep Learning (Neural Network Architectures, CNNs, RNNs, LSTMs, Optimization, Regularization, Frameworks (TensorFlow/PyTorch)), Augmented Reality & Virtual Reality (AR/VR Devices, 3D Graphics, Interaction, Tracking, Haptics, Applications, Development Tools), Full Stack Development (Frontend (React/Angular), Backend (Node.js/Django), Databases (MongoDB/SQL), APIs, Deployment) |
| 22IT703PE | Professional Elective - V | Elective | 3 | Human Computer Interaction (UI/UX Principles, Design Process, Evaluation Methods, Usability, Accessibility, Mobile UI), Wireless & Mobile Networks (Cellular Networks, Wi-Fi, Bluetooth, Mobile IP, Ad-hoc Networks, Wireless Security), Quantum Computing (Quantum Bits, Superposition, Entanglement, Quantum Gates, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Cryptography), Cyber Security (Threats, Vulnerabilities, Attack Types, Cryptography, Firewalls, IDS/IPS, Incident Response, Forensics) |
| 22IT704OE | Open Elective - III | Elective | 3 | |
| 22IT705PW | Project Stage - I | Core | 4 | Problem Statement and Literature Review, System Design and Architecture, Module Development and Testing, Interim Report Preparation, Presentation and Viva Voce |
| 22IT706PC | Block Chain Technology Lab | Lab | 1.5 | Setup of Blockchain Environment (Ganache, Geth), Smart Contract Development with Solidity, Deployment of Smart Contracts, Interacting with Blockchain via Web3.js, Developing Decentralized Applications (DApps) |
| 22IT707PC | AI Tools, Techniques and Applications Lab | Lab | 1.5 | Python Libraries for AI (TensorFlow, Keras, PyTorch), Image Processing with OpenCV, Natural Language Processing with NLTK/SpaCy, Building Recommendation Systems, Implementing Chatbots |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IT801HS | Professional Ethics & Human Values | Core | 3 | Ethics and Human Values, Professional Ethics in Engineering, Cyber Ethics and Intellectual Property, Environmental Ethics, Role of Engineers in Society |
| 22IT802PE | Professional Elective - VI | Elective | 3 | Web Security (OWASP Top 10, SQL Injection, XSS, CSRF, Session Management, Authentication, API Security), Image Processing (Image Transforms, Filtering, Segmentation, Feature Extraction, Compression, Pattern Recognition), Robotic Process Automation (RPA Tools (UiPath/Automation Anywhere), Process Mapping, Bot Development, Deployment, Governance), Storage Area Networks (Storage Devices, RAID, Fibre Channel, iSCSI, SAN Architectures, NAS, Data Protection) |
| 22IT803PW | Project Stage - II | Core | 8 | Advanced System Development, Comprehensive Testing and Evaluation, Performance Optimization, Final Project Report Writing, Final Presentation and Viva Voce |
| 22IT804OE | Open Elective - IV | Elective | 3 |
