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B-TECH in Information Technology It at Sreenidhi Institute of Science and Technology
Medchal-Malkajgiri, Telangana
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About the Specialization
What is Information Technology (IT) at Sreenidhi Institute of Science and Technology Medchal-Malkajgiri?
This Information Technology (IT) program at Sreenidhi Institute of Science and Technology focuses on equipping students with comprehensive knowledge and practical skills in software development, data management, networking, and emerging technologies. Designed to meet the dynamic demands of the Indian IT industry, the curriculum emphasizes strong foundational principles alongside hands-on experience in cutting-edge areas like AI, Machine Learning, and Cloud Computing. It prepares graduates for diverse roles in the rapidly evolving digital landscape.
Who Should Apply?
This program is ideal for aspiring engineers who possess a keen interest in software development, problem-solving, and digital innovation. It caters to fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning seeking entry into the booming Indian tech sector. Furthermore, it benefits individuals passionate about creating scalable software solutions, managing robust IT infrastructure, and leveraging data for intelligent decision-making, setting them up for a successful career in the Indian IT ecosystem.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Software Developers, Database Administrators, Network Engineers, Cloud Architects, or Data Analysts in India. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience and specialization. The curriculum aligns with industry-recognized certifications, enhancing employability and fostering growth trajectories within Indian and multinational companies operating in India, providing a strong foundation for professional advancement and leadership roles.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering the core concepts of C, Java, and Data Structures. Solve 3-5 coding problems daily on platforms like HackerRank or LeetCode to build strong logical thinking and problem-solving abilities, essential for subsequent semesters and competitive coding.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on Programming
Career Connection
Strong fundamentals are the bedrock for cracking coding interviews and excelling in software development roles during placements.
Cultivate Effective Study Habits & Peer Learning- (Semester 1-2)
Form study groups with peers to discuss complex topics, share insights, and collaboratively solve problems, especially for subjects like Engineering Mathematics and Physics. Develop consistent revision schedules and practice active recall methods to ensure deep understanding rather than rote memorization.
Tools & Resources
WhatsApp/Telegram groups for study, Institutional library resources, online educational videos (e.g., Khan Academy)
Career Connection
Enhances communication, teamwork, and critical thinking, all highly valued soft skills by Indian employers, contributing to academic success and future professional collaboration.
Explore Core Engineering Disciplines- (Semester 1-2)
Engage with the foundational Electrical Engineering and Digital Logic Design subjects beyond classroom lectures. Attend department workshops, experiment with basic circuits, and try to understand the practical applications of these concepts in computing hardware. This builds a holistic engineering perspective.
Tools & Resources
Lab equipment, online circuit simulators (e.g., Tinkercad), basic electronics kits, YouTube tutorials
Career Connection
A broad understanding of engineering principles helps in designing robust IT solutions and understanding hardware-software interactions, useful for roles in embedded systems or IoT.
Intermediate Stage
Build Project Portfolio with Core IT Skills- (Semester 3-5)
Apply learned concepts from DBMS, Operating Systems, OOP (Java/Python), and Computer Networks to develop 2-3 mini-projects. Focus on solving real-world problems, even small ones, to demonstrate practical application of knowledge. Use GitHub to showcase your code and version control skills.
Tools & Resources
GitHub, VS Code, Java IDEs, Python IDEs, XAMPP/WAMP, PostgreSQL/MySQL
Career Connection
A strong project portfolio is crucial for demonstrating practical skills to recruiters for internship and entry-level roles in software development and database management.
Engage in Technical Skill Specialization- (Semester 4-5)
Identify emerging areas like Web Technologies and Data Science (from Python) and dedicate extra hours to specialized learning. Complete online certifications or participate in hackathons related to these fields to gain hands-on experience and differentiate your profile.
Tools & Resources
Coursera, Udemy, edX, LinkedIn Learning, Kaggle, local hackathon events
Career Connection
Specialization in high-demand areas significantly boosts employability and salary prospects in the competitive Indian IT job market, opening doors to specific tech roles.
Network with Industry Professionals- (Semester 3-5)
Attend industry seminars, workshops, and guest lectures organized by the college or local tech communities. Proactively connect with speakers and professionals on LinkedIn. Seek mentorship opportunities to understand industry trends and career pathways in India.
Tools & Resources
LinkedIn, college career fair events, local tech meetups (e.g., GDG Hyderabad)
Career Connection
Professional networking is vital for discovering internship opportunities, job referrals, and gaining insights into industry expectations, which is highly beneficial for securing placements.
Advanced Stage
Focus on Niche Technologies and Research- (Semester 6-7)
Deep dive into Professional Electives like Machine Learning, Cloud Computing, or Big Data. Consider undertaking a research paper or an advanced project that explores innovative solutions using these technologies, aiming for publication in college-level journals or presenting at technical fests.
Tools & Resources
Google Scholar, arXiv, research databases, advanced ML/Cloud platforms (AWS/Azure/GCP)
Career Connection
Expertise in niche, cutting-edge technologies makes graduates highly sought after for R&D, specialized engineering roles, and positions in tech innovation hubs across India.
Intensive Placement Preparation- (Semester 7-8)
Begin rigorous preparation for campus placements, focusing on aptitude tests, technical interviews (data structures, algorithms, system design), and HR rounds. Practice mock interviews, participate in pre-placement training sessions, and refine your resume and soft skills.
Tools & Resources
Placement cell resources, online interview preparation platforms (e.g., InterviewBit, LeetCode premium), resume builders, communication skills workshops
Career Connection
This structured preparation is directly linked to securing high-paying job offers from top IT companies during campus placements.
Undertake a Capstone Project or Industry Internship- (Semester 7-8)
Dedicate substantial effort to the final year project, integrating knowledge from multiple courses to develop a robust, impactful solution. Alternatively, pursue a long-term industry internship to gain significant real-world experience, potentially leading to a pre-placement offer.
Tools & Resources
Project management tools, advanced development environments, collaboration platforms, industry mentors
Career Connection
A well-executed capstone project or a successful industry internship serves as a powerful testament to your abilities, significantly enhancing your chances of landing a desirable job or launching a startup.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics, Mathematics as compulsory subjects along with one of Chemistry/Biotechnology/Biology/Technical Vocational subject. Minimum 45% marks (40% for reserved categories). OR Passed Diploma in Engineering/Technology with minimum 45% marks (40% for reserved categories).
Duration: 4 years (8 semesters)
Credits: 160 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M-BS101 | Engineering Mathematics – I | Core | 4 | Differential Equations, Sequences & Series, Functions of Several Variables, Partial Differentiation, Applications of Differential Calculus |
| P-BS102 | Engineering Physics | Core | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Electronic Materials, Semiconductor Devices |
| EE-ES103 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| CS-ES104 | Programming for Problem Solving | Core | 3 | Introduction to C, Operators & Expressions, Control Structures, Functions, Arrays & Pointers |
| HS-HS105 | English Language Skills | Core | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Writing Skills, Listening Skills |
| P-BS1L1 | Engineering Physics Lab | Lab | 1.5 | Experiments on Optics, Electricity and Magnetism, Mechanics, Semiconductor Characteristics, Advanced Physics Applications |
| EE-ES1L2 | Basic Electrical Engineering Lab | Lab | 1.5 | DC and AC Circuit Analysis, Verification of Network Theorems, Characteristics of Diodes, Transformer Operation, Motor Control |
| CS-ES1L3 | Programming for Problem Solving Lab | Lab | 1.5 | C Programming Exercises, Conditional Statements and Loops, Functions and Recursion, Arrays and Pointers Implementation, File Handling |
| HS-HS1L4 | English Language Skills Lab | Lab | 1 | Phonetics Practice, Role-play and Presentations, Group Discussions, Interview Skills, Listening Comprehension |
| ME-ES1L5 | Engineering Workshop | Lab | 1.5 | Carpentry and Fitting, Tin-smithy Operations, House Wiring Practices, Plumbing Basics, Foundry Tools |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M-BS201 | Engineering Mathematics – II | Core | 4 | Matrices and Eigenvalues, Vector Calculus, Multiple Integrals, Fourier Series, Partial Differential Equations |
| CY-BS202 | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry and Corrosion, Polymers and Composites, Fuels and Lubricants, Material Characterization |
| CS-PC203 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| ME-ES204 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Views, Sectional Views, AutoCAD Basics, Development of Surfaces |
| EC-ES205 | Digital Logic Design | Core | 3 | Number Systems and Codes, Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| CY-BS2L1 | Engineering Chemistry Lab | Lab | 1.5 | Volumetric Analysis, pH-metry, Conductometry, Colorimetry, Spectrophotometry |
| CS-PC2L2 | Data Structures Lab | Lab | 1.5 | Implementation of Stacks, Queues and Linked Lists, Tree Traversals, Graph Algorithms, Sorting and Searching Algorithms |
| EC-ES2L3 | Digital Logic Design Lab | Lab | 1.5 | Logic Gates Verification, Combinational Circuit Design, Sequential Circuit Design, Flip-Flops and Counters, Memory IC Interfacing |
| CH-MC2L4 | Environmental Science | Core | 0 | Ecosystems and Biodiversity, Environmental Pollution, Renewable Energy Sources, Environmental Ethics, Legislation and Policies |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M-PC301 | Discrete Mathematics | Core | 3 | Logic and Proofs, Set Theory and Functions, Relations and Posets, Graph Theory, Algebraic Structures |
| IT-PC302 | Computer Organization and Architecture | Core | 3 | Computer Functions and Interconnects, CPU Organization, Memory Organization, Input/Output Organization, Control Unit Design |
| IT-PC303 | Object Oriented Programming through Java | Core | 3 | OOP Concepts, Java Fundamentals, Classes, Objects, and Methods, Inheritance and Polymorphism, Exception Handling and Multithreading |
| IT-PC304 | Database Management Systems | Core | 3 | Database Concepts and Architecture, ER Model and Relational Model, SQL Query Language, Normalization, Transaction Management and Concurrency Control |
| IT-PC305 | Operating Systems | Core | 3 | OS Structures and Services, Process Management, CPU Scheduling, Memory Management, File Systems and I/O |
| IT-PC3L1 | Object Oriented Programming through Java Lab | Lab | 1.5 | Java Program Implementation, OOP Concepts in Java, Applets and AWT, Swing and Event Handling, JDBC Connectivity |
| IT-PC3L2 | Database Management Systems Lab | Lab | 1.5 | SQL DDL and DML Commands, Advanced SQL Queries, PL/SQL Programming, Database Design and Implementation, JDBC/ODBC Connectivity |
| IT-PC3L3 | Operating Systems Lab | Lab | 1.5 | Linux Commands and Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Memory Allocation Algorithms, Deadlock Avoidance and Prevention |
| MC-MC3L4 | Gender Sensitization | Core | 0 | Understanding Gender Roles, Socialization of Gender, Gender Violence and its Forms, Women''''s Rights and Laws, Gender and Health |
| HS-HS3L5 | Quantitative Aptitude and Reasoning | Core | 1 | Number Systems and Arithmetic, Time, Speed and Distance, Data Interpretation, Logical Reasoning Puzzles, Verbal Ability |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| M-BS401 | Probability & Statistics | Core | 3 | Basic Probability Theory, Probability Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| IT-PC402 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Software Maintenance |
| IT-PC403 | Python Programming | Core | 3 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming in Python, File Handling and Exception Handling |
| IT-PC404 | Computer Networks | Core | 3 | Network Topologies and Layering, Physical and Data Link Layer Protocols, Network Layer and Routing, Transport Layer Protocols, Application Layer Services |
| IT-PC405 | Formal Languages & Automata Theory | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Turing Machines, Undecidability |
| IT-PC4L1 | Python Programming Lab | Lab | 1.5 | Python Programming Exercises, Data Structure Implementation, Web Scraping with Python, GUI Development with Tkinter, Introduction to Libraries (Numpy, Pandas) |
| IT-PC4L2 | Computer Networks Lab | Lab | 1.5 | Network Configuration using Cisco Packet Tracer, Socket Programming, Network Tools (Ping, Traceroute), Wireshark for Packet Analysis, Basic Network Security |
| IT-PC4L3 | Software Engineering Lab | Lab | 1.5 | Software Requirements Specification (SRS), UML Diagrams, Software Design Documents, Test Case Generation, Use of CASE Tools |
| MC-MC4L4 | Indian Constitution | Core | 0 | Preamble and Basic Structure, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Legislature, Judiciary and Emergency Provisions |
| HS-HS4L5 | Advanced English Communication Skills Lab | Core | 1 | Advanced Presentations, Group Discussions and Debates, Interview Preparation, Professional Correspondence, Public Speaking |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT-PC501 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| IT-PC502 | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM, XML and AJAX, Server-Side Scripting (PHP/Node.js), Web Services and APIs |
| IT-PC503 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Code Generation |
| IT-PE504 | Professional Elective – I (e.g., Information Security) | Elective | 3 | Cryptography Fundamentals, Network Security, Web Security, Cyber Law and Ethics, Security Management |
| OE505 | Open Elective – I | Elective | 3 | Varies based on chosen elective, Interdisciplinary topics, Emerging technologies, Management principles, Humanities and social sciences |
| IT-PC5L1 | Web Technologies Lab | Lab | 1.5 | HTML and CSS Projects, JavaScript DOM Manipulation, XML Parsing, Server-Side Scripting (PHP/Node.js), Building Dynamic Web Applications |
| IT-PC5L2 | Compiler Design Lab | Lab | 1.5 | Lexical Analyzer Implementation, Parser Development, Symbol Table Management, Intermediate Code Generation, Compiler Front-end Development |
| IT-PC5L3 | Design & Analysis of Algorithms Lab | Lab | 1.5 | Implementation of Sorting Algorithms, Graph Algorithms (BFS, DFS), Dynamic Programming Problems, Greedy Algorithm Implementations, Complexity Analysis of Algorithms |
| MC-MC5L4 | Intellectual Property Rights | Core | 0 | Patents and Patentability, Copyrights and Related Rights, Trademarks and Designs, Geographical Indications, IPR Management and Infringement |
| HS-HS5L5 | Employability Skills | Core | 1 | Resume and Cover Letter Writing, Interview Skills, Professional Ethics, Teamwork and Collaboration, Time Management and Goal Setting |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT-PC601 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, PCA), Deep Learning Fundamentals, Model Evaluation and Optimization |
| IT-PC602 | Cloud Computing | Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security and Management |
| IT-PC603 | Data Communications | Core | 3 | Data Transmission Fundamentals, Digital Modulation Techniques, Multiplexing and Spreading, Error Detection and Correction, Switching and Routing |
| IT-PE604 | Professional Elective – II (e.g., Distributed Systems) | Elective | 3 | Distributed System Architectures, Communication in Distributed Systems, Synchronization and Consistency, Fault Tolerance, Distributed File Systems |
| OE605 | Open Elective – II | Elective | 3 | Varies based on chosen elective, Interdisciplinary applications, Societal impacts of technology, Entrepreneurship, Advanced analytics |
| IT-PC6L1 | Machine Learning Lab | Lab | 1.5 | Python for Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Scikit-learn and Pandas, Introduction to TensorFlow/PyTorch |
| IT-PC6L2 | Cloud Computing Lab | Lab | 1.5 | Cloud Platform Services (AWS/Azure/GCP), Virtual Machine Management, Cloud Storage Solutions, Serverless Computing, Containerization (Docker) |
| IT-MNP6L3 | Mini Project | Project | 2 | Problem Identification and Scoping, Project Design and Planning, Implementation and Testing, Documentation and Report Writing, Project Presentation |
| MC-MC6L4 | Professional Ethics & Human Values | Core | 0 | Ethics and Human Values, Professionalism in Engineering, Corporate Social Responsibility, Environmental Ethics, Ethical Decision Making |
| HS-HS6L5 | Advanced Employability Skills | Core | 1 | Advanced Interview Techniques, Group Dynamics and Leadership, Entrepreneurial Skills, Conflict Resolution, Global Cultural Etiquettes |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT-PE701 | Professional Elective – III (e.g., Big Data Analytics) | Elective | 3 | Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, Data Mining Techniques, Predictive Analytics |
| IT-PE702 | Professional Elective – IV (e.g., Deep Learning) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Backpropagation and Optimization, Deep Learning Frameworks (Keras, PyTorch) |
| OE703 | Open Elective – III | Elective | 3 | Varies based on chosen elective, Industry-specific trends, Advanced management topics, Cross-functional skills, Social innovation |
| IT-PRJ7L1 | Project Part – I | Project | 3 | Problem Identification, Literature Survey, Project Proposal Development, Initial Design and Architecture, Partial Implementation |
| IT-INT7L2 | Internship / Industry Oriented Mini-Project | Project | 2 | Practical Industry Experience, Problem Solving in Real-world Contexts, Technical Report Writing, Presentation Skills, Professional Work Ethics |
| MC-MC7L3 | Universal Human Values | Core | 0 | Understanding Harmony in Self, Harmony in Family and Society, Harmony in Nature, Professional Ethics and Human Order, Holistic Development |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT-PE801 | Professional Elective – V (e.g., Social Network Analysis) | Elective | 3 | Graph Theory in Social Networks, Centrality Measures, Community Detection, Network Dynamics, Information Diffusion Models |
| IT-PE802 | Professional Elective – VI (e.g., Full Stack Development) | Elective | 3 | Frontend Technologies (React/Angular), Backend Frameworks (Node.js/Django), Database Management (SQL/NoSQL), RESTful API Development, Deployment and Cloud Integration |
| IT-PRJ8L1 | Project Part – II | Project | 9 | Advanced System Implementation, Thorough Testing and Debugging, Performance Optimization, Comprehensive Documentation, Final Viva-Voce and Presentation |
