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B-TECH in Information Technology It at G. Pulla Reddy Engineering College (Autonomous)
Kurnool, Andhra Pradesh
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About the Specialization
What is Information Technology (IT) at G. Pulla Reddy Engineering College (Autonomous) Kurnool?
This Information Technology B.Tech program at G. Pulla Reddy Engineering College, Kurnool focuses on equipping students with essential skills in software development, data management, networking, and emerging technologies. Designed to meet the growing demands of the Indian IT sector, the curriculum emphasizes both theoretical foundations and practical applications. The program prepares students for various roles in the rapidly evolving digital landscape, addressing critical industry needs.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic IT field. It also caters to individuals passionate about problem-solving through technology, who aspire to develop innovative software solutions or manage complex digital infrastructures. Students with a keen interest in computer science fundamentals and a desire to contribute to India''''s tech growth will thrive in this curriculum.
Why Choose This Course?
Graduates of this program can expect to secure diverse career paths in India as software developers, data analysts, network engineers, or IT consultants. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning significantly more (INR 8-15+ LPA) based on skills and domain. The program aligns with industry certifications in areas like cloud computing and cybersecurity, fostering continuous growth trajectories in leading Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice C and Java programming. Solve problems on online platforms to strengthen logical thinking and coding skills, forming a robust base for advanced subjects.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on Programming
Career Connection
Strong programming fundamentals are non-negotiable for all IT roles, serving as the bedrock for placements in software development, data science, and algorithm-focused positions.
Build Strong Mathematical & Analytical Skills- (Semester 1-2)
Focus intently on engineering mathematics and probability & statistics. Regularly solve problems to enhance analytical capabilities, which are crucial for understanding algorithms, data science, and system design.
Tools & Resources
Khan Academy, MIT OpenCourseWare (Calculus, Linear Algebra), Textbooks and exercise problems
Career Connection
Robust analytical skills are vital for roles requiring complex problem-solving, algorithm design, and data interpretation, significantly impacting performance in technical interviews and advanced studies.
Develop Effective Communication Skills- (Semester 1-2)
Actively participate in English language labs, group discussions, and presentations. Practice public speaking and technical writing to articulate ideas clearly, essential for professional interactions.
Tools & Resources
Toastmasters International (local chapters), Online grammar/writing tools, Peer feedback sessions
Career Connection
Excellent communication skills are highly valued by recruiters for all roles, especially in client-facing, project management, and leadership positions, facilitating career progression.
Intermediate Stage
Engage in Practical Project Development- (Semester 3-5)
Actively participate in mini-projects and lab sessions for Data Structures, OOP, and DBMS. Apply theoretical knowledge to build small applications, focusing on clean code and efficient algorithms.
Tools & Resources
GitHub for version control, IDE''''s like VS Code/IntelliJ, Project-based online tutorials, College hackathons
Career Connection
Hands-on project experience is critical for showcasing practical skills in interviews. It demonstrates problem-solving ability and is a key differentiator for internships and entry-level IT jobs.
Explore Open Source Contributions & Competitions- (Semester 3-5)
Familiarize yourself with Git and contribute to open-source projects. Participate in coding competitions and hackathons to gain exposure, collaborate with peers, and enhance problem-solving under pressure.
Tools & Resources
Google Summer of Code, CodeChef, TopCoder, Kaggle for data challenges
Career Connection
Contributions to open source and success in competitions highlight initiative, teamwork, and advanced coding skills, making candidates highly attractive to tech companies seeking proactive engineers.
Network with Industry Professionals- (Semester 3-5)
Attend industry workshops, seminars, and guest lectures organized by the college. Connect with alumni and professionals on platforms like LinkedIn to understand industry trends and career paths.
Tools & Resources
LinkedIn, Industry conferences (e.g., TechGig), college career fairs, Alumni network events
Career Connection
Networking opens doors to internships, mentorships, and direct hiring opportunities, providing invaluable insights and increasing visibility within the Indian IT job market.
Advanced Stage
Specialize through Electives and Certifications- (Semester 6-8)
Choose professional electives aligned with your career interests (e.g., AI, Cloud, Cybersecurity). Supplement coursework with industry certifications to gain specialized knowledge and a competitive edge.
Tools & Resources
Coursera/edX for specialized courses, AWS/Azure/GCP Certifications, NPTEL advanced courses
Career Connection
Specialized skills and certifications are crucial for targeting specific high-demand roles in India''''s tech industry, such as AI/ML Engineer, Cloud Architect, or Cybersecurity Analyst, leading to higher packages.
Undertake Comprehensive Major Projects- (Semester 7-8)
Invest significant effort in your Project Phase-I and Phase-II. Focus on developing a robust solution to a real-world problem, covering the entire software development lifecycle, and showcasing innovation.
Tools & Resources
Jira/Trello for project management, Advanced IDEs and frameworks, Version control systems, Faculty mentorship
Career Connection
A well-executed major project serves as a powerful portfolio item, demonstrating full-stack capabilities, problem-solving prowess, and commitment, directly enhancing placement prospects with top companies.
Intensive Placement Preparation- (Semester 6-8)
Engage in rigorous aptitude test practice, mock interviews (technical and HR), and resume building workshops. Focus on data structures, algorithms, and core computer science concepts for technical rounds.
Tools & Resources
Placement cell resources, Online aptitude portals, InterviewBit, Glassdoor for company-specific interview questions
Career Connection
Thorough preparation directly translates to successful navigation of placement drives, securing positions in desired companies with competitive salaries, and kickstarting a promising career in IT.
Program Structure and Curriculum
Eligibility:
- Admission is subject to eligibility, qualifications, and specialization prescribed by the A.P. State Government for admissions from time to time.
Duration: 4 years / 8 semesters
Credits: 144 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS101MA | Linear Algebra and Calculus | Core | 3 | Matrices and System of Equations, Eigenvalues and Eigenvectors, Differential Calculus of Multivariable Functions, Multiple Integrals, Vector Calculus |
| BS102PH | Applied Physics | Core | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Semiconductor Physics, Magnetic Materials and Superconductivity |
| ES101CS | Programming for Problem Solving | Core | 3 | Introduction to C Programming, Control Structures and Functions, Arrays and Strings, Pointers and Structures, File Handling |
| ES102ED | Engineering Graphics | Core | 3 | Orthographic Projections, Projections of Points, Lines, Planes, Projections of Solids, Sectional Views and Development of Surfaces, Isometric Projections |
| HS101EL | English Language Skills | Core | 3 | Vocabulary and Grammar, Reading Comprehension, Paragraph Writing, Report Writing, Formal and Informal Communication |
| BS103PHL | Applied Physics Lab | Lab | 1.5 | Diffraction and Interference, Photoelectric Effect, Lasers and Optical Fibers, Semiconductor Devices Characteristics, Magnetic Fields |
| ES103CSL | Programming for Problem Solving Lab | Lab | 1.5 | Basic C Programs, Control Flow Statements, Functions and Arrays, Pointers and Structures, File Operations |
| HS102ENL | English Language Skills Lab | Lab | 1.5 | Listening and Speaking Practice, Role Plays and Presentations, Group Discussions, Pronunciation Practice, Interview Skills |
| MC101CC | Constitution of India | Mandatory Course | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Judiciary and Elections, Constitutional Amendments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS104CH | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry and Batteries, Corrosion and its Control, Polymer Chemistry, Fuels and Lubricants |
| BS105MA | Differential Equations and Vector Calculus | Core | 3 | First Order Differential Equations, Higher Order Linear Differential Equations, Laplace Transforms, Vector Differentiation, Vector Integration |
| ES104EC | Basic Electrical and Electronics Engineering | Core | 3 | DC and AC Circuits, Single Phase AC Circuits, PN Junction Diode and Rectifiers, Transistors and Amplifiers, Logic Gates |
| ES105ME | Engineering Workshop | Core | 3 | Carpentry and Fitting, Welding and Foundry, Sheet Metal Operations, Black Smithy, House Wiring |
| HS103BS | Professional Communication Skills | Core | 3 | Verbal Communication, Non-Verbal Communication, Listening Skills, Reading Strategies, Writing Business Correspondence |
| BS106CHL | Engineering Chemistry Lab | Lab | 1.5 | Volumetric Analysis, Instrumental Analysis, Water Quality Parameters, Organic Preparations, Corrosion Experiments |
| ES106ECL | Basic Electrical and Electronics Engineering Lab | Lab | 1.5 | Circuit Laws Verification, Diode Characteristics, Rectifier Circuits, Transistor Characteristics, Logic Gates Verification |
| HS104BSL | Professional Communication Skills Lab | Lab | 1.5 | Public Speaking and Debates, Presentations, Group Discussions, Resume Writing, Interview Preparation |
| MC102ES | Environmental Science | Mandatory Course | 0 | Ecosystems and Biodiversity, Natural Resources, Environmental Pollution, Solid Waste Management, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS201MA | Probability & Statistics with R Programming | Core | 3 | Probability and Random Variables, Probability Distributions, Sampling Distributions and Estimation, Hypothesis Testing, Correlation and Regression with R |
| IT201PC | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Searching and Sorting Techniques |
| IT202PC | Digital Logic Design | Core | 3 | Number Systems and Boolean Algebra, Logic Gates and K-Maps, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| IT203PC | Object Oriented Programming | Core | 3 | Introduction to OOP and Java, Classes, Objects and Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling and Multithreading |
| IT204PC | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Algebraic Structures, Recurrence Relations |
| IT205PCL | Data Structures Lab | Lab | 1.5 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Algorithms |
| IT206PCL | Object Oriented Programming Lab | Lab | 1.5 | Java Basics and Control Structures, Class and Object Creation, Inheritance and Polymorphism Programs, Packages and Interfaces, Exception Handling and Multithreading Applications |
| IT207PROJ | Mini Project | Project | 1.5 | Problem Identification, System Design, Implementation using Programming Languages, Testing and Debugging, Project Report Preparation |
| MC201ES | Essence of Indian Traditional Knowledge | Mandatory Course | 0 | Introduction to Indian Knowledge Systems, Basic Structure of Indian Knowledge System, Yoga and Health, Indian Arts and Literature, Indian Economic and Political Thoughts |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS202MA | Complex Variables & Transforms | Core | 3 | Complex Functions and Differentiability, Complex Integration, Series Expansions, Fourier Series and Transforms, Z-Transforms |
| IT208PC | Database Management Systems | Core | 3 | Introduction to DBMS, ER Model and Relational Model, SQL Queries, Normalization, Transaction Management and Concurrency Control |
| IT209PC | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management and CPU Scheduling, Memory Management, Virtual Memory, File Systems and I/O Systems |
| IT210PC | Computer Networks | Core | 3 | Network Topologies and OSI Model, Physical and Data Link Layer, Network Layer, Transport Layer, Application Layer |
| IT211PCL | Database Management Systems Lab | Lab | 1.5 | DDL and DML Commands, SQL Queries (Join, Subqueries), PL/SQL Programming, Functions, Procedures, Triggers, Database Connectivity |
| IT212PCL | Operating Systems Lab | Lab | 1.5 | Linux Commands and Shell Scripting, Process Management, CPU Scheduling Algorithms, Deadlock Detection and Prevention, Memory Allocation Techniques |
| IT213PROJ | Industrial Training/Summer Internship | Mandatory | 1.5 | Industry Exposure, Practical Application of Concepts, Professional Skill Development, Report Writing, Presentation Skills |
| MC202ES | Universal Human Values | Mandatory Course | 0 | Self-exploration and Harmony, Harmony in the Family and Society, Harmony with Nature, Professional Ethics, Ethical Human Conduct |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT301PC | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| IT302PC | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving by Search, Knowledge Representation, Logical Reasoning, Machine Learning Fundamentals |
| IT303PC | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| IT304PE | Professional Elective I | Elective | 3 | Object Oriented Analysis and Design (UML, Design Patterns), Software Testing Methodologies (Black Box, White Box, Test Automation), Cryptography and Network Security (Symmetric/Asymmetric Crypto, Hashing), Distributed Systems (Architectures, Communication, Consistency) |
| IT305OE | Open Elective I | Elective | 3 | |
| IT306PCL | Design and Analysis of Algorithms Lab | Lab | 1.5 | Sorting and Searching Algorithms Implementation, Greedy Algorithm Problems, Dynamic Programming Solutions, Graph Traversal Algorithms, Minimum Spanning Tree Algorithms |
| IT307PCL | Artificial Intelligence Lab | Lab | 1.5 | Python Programming for AI, Implementing Search Algorithms (BFS, DFS, A*), Prolog for Logic Programming, Constraint Satisfaction Problems, Basic Machine Learning Implementations |
| IT308PCL | DevOps Lab | Lab | 1.5 | Version Control with Git, Continuous Integration with Jenkins, Containerization with Docker, Container Orchestration with Kubernetes, Configuration Management with Ansible |
| IT309PROJ | Mini Project | Project | 1.5 | Software Project Planning, Requirements Gathering and Analysis, System Design and Architecture, Implementation and Testing, Documentation and Presentation |
| MC301RM | Research Methodology & IPR | Mandatory Course | 0 | Introduction to Research Methodology, Research Design and Data Collection, Data Analysis and Interpretation, Intellectual Property Rights (IPR), Patent Filing Procedures |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT310PC | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, PCA), Neural Networks and Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| IT311PC | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript Fundamentals, Client-Side Frameworks (e.g., React/Angular/Vue basics), Server-Side Scripting (e.g., Node.js/PHP basics), Database Integration for Web Applications |
| IT312PE | Professional Elective II | Elective | 3 | Cloud Computing (Cloud Models, Virtualization, Services), Big Data Analytics (Hadoop, MapReduce, Spark, Data Warehousing), Blockchain Technology (Cryptocurrency, Distributed Ledgers, Smart Contracts), Advanced Operating Systems (Distributed OS, Mobile OS) |
| IT313PE | Professional Elective III | Elective | 3 | Image Processing (Image Enhancement, Segmentation, Feature Extraction), Internet of Things (IoT Architecture, Sensors, Protocols, Applications), Data Warehousing and Mining (OLAP, Association Rules, Classification, Clustering), Cryptography and Cyber Forensics (Digital Forensics, Incident Response) |
| IT314OE | Open Elective II | Elective | 3 | |
| IT315PCL | Machine Learning Lab | Lab | 1.5 | Data Preprocessing and Visualization, Implementation of Supervised Learning Algorithms, Implementation of Unsupervised Learning Algorithms, Neural Network Architectures, Model Evaluation and Hyperparameter Tuning |
| IT316PCL | Web Technologies Lab | Lab | 1.5 | HTML and CSS Website Design, Interactive Web Pages with JavaScript, Front-End Framework Usage, Developing Server-Side Applications, Integrating Databases with Web Applications |
| IT317PCL | Full Stack Development Lab | Lab | 1.5 | Front-End Development with Modern Frameworks, Back-End API Development, Database Integration and Management, Deployment Strategies, Authentication and Authorization |
| IT318PROJ | Socially Relevant Project | Project | 1.5 | Identifying Social Problems, Designing Sustainable Solutions, Developing Prototypes, Community Engagement, Impact Assessment and Reporting |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT401PE | Professional Elective IV | Elective | 3 | Deep Learning (CNNs, RNNs, Transformers), Augmented Reality & Virtual Reality (Concepts, Hardware, Software), Natural Language Processing (Text Preprocessing, Language Models), Software Defined Networks (SDN Architecture, OpenFlow) |
| IT402PE | Professional Elective V | Elective | 3 | Software Project Management (Agile, Scrum, Risk Management), Ethical Hacking (Vulnerability Assessment, Penetration Testing), Mobile Application Development (Android/iOS Development, UI/UX), Cyber Security (Security Attacks, Cryptography, Firewalls) |
| IT403OE | Open Elective III | Elective | 3 | |
| IT404PROJ | Project Phase-I | Project | 3 | Problem Definition and Literature Survey, Requirements Analysis, System Design and Architecture, Feasibility Study, Preliminary Report Preparation |
| IT405INT | Internship / Industrial Training | Mandatory | 3 | Real-world Industry Experience, Application of Theoretical Knowledge, Professional Skill Enhancement, Teamwork and Communication, Industry Report and Presentation |
| IT406SEM | Seminar | Mandatory | 1.5 | Technical Literature Review, Topic Research and Analysis, Oral Presentation Skills, Question and Answer Session, Seminar Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT407PROJ | Project Phase-II | Project | 6 | Detailed System Implementation, Testing and Validation, Performance Evaluation, Final Documentation, Project Defense and Demonstration |
| IT408CE | Comprehensive Exam | Mandatory | 1.5 | Overall Core IT Concepts, Problem Solving Abilities, Analytical Thinking, Fundamental Subject Knowledge, Recent Technological Trends |
