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B-E in Computer Science Engineering Internet Of Things at Sri Sairam College of Engineering
Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering (Internet of Things) at Sri Sairam College of Engineering Bengaluru?
This Computer Science & Engineering (Internet of Things & Cyber Security) program at Sri Sairam College of Engineering focuses on equipping students with expertise in developing smart, connected systems and securing digital infrastructures. With India''''s rapid digitization and ''''Digital India'''' initiatives, there''''s a significant demand for professionals who can innovate in IoT while simultaneously protecting sensitive data and systems, making this program highly relevant.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for problem-solving, mathematics, and an interest in emerging technologies like embedded systems, networking, and security. It also suits working professionals looking to transition into highly specialized roles in IoT development, cybersecurity analysis, or those aiming to upskill for leadership positions in tech-driven industries in India.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including IoT Developer, Cybersecurity Analyst, Embedded Systems Engineer, Cloud Security Engineer, and Data Privacy Officer. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 10-25 LPA. The program''''s blend of IoT and Cyber Security prepares students for critical roles in rapidly expanding sectors.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (Python & C)- (Semester 1-2)
Focus intensely on mastering foundational programming languages like Python and C. Utilize online platforms like HackerRank and LeetCode for daily coding practice. Participate in college coding clubs and competitive programming contests to build logical thinking and problem-solving abilities.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Local coding clubs
Career Connection
Strong programming skills are non-negotiable for all tech roles and serve as a gateway to internships and foundational placements in product and service companies.
Build Strong Engineering Basics- (Semester 1-2)
Pay close attention to core engineering subjects like Mathematics, Physics, and Electrical/Electronics. Develop clear understanding of concepts through textbooks, online tutorials, and peer study groups. These form the bedrock for advanced IoT and Cyber Security topics.
Tools & Resources
NPTEL courses, Khan Academy, Reference textbooks, Peer study groups
Career Connection
A solid grasp of engineering basics aids in understanding complex system architectures and troubleshooting, crucial for embedded systems and network design roles.
Engage in Technical Societies and Workshops- (Semester 1-2)
Actively join department technical societies (e.g., IEEE Student Chapter, CSI) and participate in introductory workshops on electronics, robotics, or basic networking. This fosters early exposure to practical applications and builds a network with seniors and faculty.
Tools & Resources
College technical clubs, Department workshops, Tech events
Career Connection
Early engagement cultivates leadership, teamwork, and practical skills, making students more attractive for early-stage internships and project opportunities.
Intermediate Stage
Hands-on IoT and Cyber Security Projects- (Semester 3-5)
Start building small-scale projects integrating IoT devices (Arduino/Raspberry Pi) with basic cloud services, and explore open-source cybersecurity tools. Document projects on platforms like GitHub to showcase practical skills to potential employers.
Tools & Resources
Arduino/Raspberry Pi kits, AWS IoT/Azure IoT free tier, Kali Linux tools, GitHub
Career Connection
A strong project portfolio directly demonstrates technical competence and problem-solving abilities, essential for securing specialized internships and entry-level roles in IoT development and security.
Participate in Hackathons and Tech Competitions- (Semester 3-5)
Regularly participate in college or inter-college hackathons and cybersecurity challenges (CTFs). These events provide intense problem-solving experience, teamwork opportunities, and exposure to real-world scenarios and deadlines, enhancing competitive readiness.
Tools & Resources
Major League Hacking (MLH), local hackathon listings, CTF platforms
Career Connection
Success in competitions builds a strong resume, showcases quick thinking under pressure, and attracts attention from tech recruiters looking for proactive and skilled individuals.
Deep Dive into Specialization Electives- (Semester 5-6)
Strategically choose professional electives that align with your career interests (e.g., Cloud Computing for IoT, Network Security, Ethical Hacking). Supplement classroom learning with industry certifications like CCNA, CompTIA Security+, or AWS Cloud Practitioner.
Tools & Resources
Cisco Networking Academy, CompTIA official guides, AWS training modules, Coursera/Udemy specialized courses
Career Connection
Specialized knowledge and certifications make you a highly sought-after candidate for niche roles in IoT architecture, network engineering, and cybersecurity.
Advanced Stage
Secure Industrial Internships- (Semester 6-8)
Actively seek and complete multiple industrial internships in relevant domains (IoT product development, security operations, cloud engineering). Focus on contributing meaningfully to live projects and building professional relationships within the company.
Tools & Resources
LinkedIn, Internshala, college placement cell, company career pages
Career Connection
Internships are often direct pathways to pre-placement offers (PPOs) and provide invaluable practical experience, significantly boosting employability for full-time roles.
Undertake Capstone Project with Industry Mentorship- (Semester 7-8)
Work on a substantial capstone project, ideally with mentorship from industry professionals or faculty with strong industry ties. Aim to solve a real-world problem or develop an innovative solution that combines both IoT and Cyber Security principles, documented as a research paper or patent.
Tools & Resources
Academic research labs, startup incubators, industry expert networks, professional journals
Career Connection
A well-executed capstone project is a powerful differentiator, demonstrating the ability to integrate knowledge, innovate, and deliver complex solutions, highly valued by top recruiters.
Focus on Placement Readiness and Networking- (Semester 7-8)
Intensify placement preparation by practicing aptitude tests, group discussions, and technical interviews. Network with alumni and industry leaders through professional events, seminars, and LinkedIn. Refine your resume and LinkedIn profile to highlight specialized skills.
Tools & Resources
Online aptitude platforms, mock interview sessions, LinkedIn, college alumni network events
Career Connection
Comprehensive placement preparation and strategic networking significantly increase the chances of securing desirable job offers in leading Indian and global tech firms.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 152 Credits
Assessment: Internal: 50% (Continuous Internal Evaluation), External: 50% (Semester End Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MA11 | Calculus and Differential Equations | Core | 3 | Differential Calculus, Integral Calculus, First Order Differential Equations, Higher Order Differential Equations, Partial Differential Equations |
| 21FY12 | Engineering Physics | Core | 4 | Wave Optics, Lasers and Optical Fibers, Quantum Mechanics, Electrical Properties of Materials, Nanoscience and Technology |
| 21ELC13 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Single Phase & Three Phase Circuits, Transformers, Electrical Machines |
| 21PSP14 | Programming for Problem Solving (Python) | Core | 4 | Introduction to Python, Data Types and Operators, Control Flow Statements, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries) |
| 21EG15 | Engineering Graphics | Core | 3 | Orthographic Projections, Projections of Planes, Projections of Solids, Sections and Development of Surfaces, Isometric Projections |
| 21PHL16 | Engineering Physics Laboratory | Lab | 1 | Experiments on Optics, Experiments on Electricity, Experiments on Materials, Measurement Techniques, Data Analysis |
| 21PSPL17 | Programming for Problem Solving Laboratory (Python) | Lab | 1 | Python Program Execution, Conditional Statements and Loops, Functions and Recursion, File Handling, Problem Solving through Programming |
| 21EGH18 | Communicative English | Core | 1 | Basic English Grammar, Vocabulary Building, Reading Comprehension, Writing Skills, Oral Communication |
| 21IDT19 | Indian Constitution and Professional Ethics | Mandatory Non-Credit | 0 | Preamble and Fundamental Rights, Directive Principles, Union and State Legislature, Professional Ethics, Cyber Law and Business Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MA21 | Linear Algebra and Differential Equations | Core | 3 | Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors, Numerical Methods for ODEs, Fourier Series |
| 21CY22 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its Control, Energy Storage Systems, Polymer Chemistry, Water Technology |
| 21CIV23 | Elements of Civil Engineering | Core | 3 | Building Materials, Surveying and Geomatics, Transportation Engineering, Water Resources Engineering, Environmental Engineering |
| 21PSP24 | Programming for Problem Solving (C) | Core | 4 | Introduction to C Programming, Control Structures, Functions and Arrays, Strings and Pointers, Structures and File Handling |
| 21EM25 | Engineering Mechanics | Core | 3 | Forces and Moments, Equilibrium of Rigid Bodies, Friction, Centroid and Moment of Inertia, Kinematics and Kinetics of Particles |
| 21CYL26 | Engineering Chemistry Laboratory | Lab | 1 | Volumetric Analysis, Colorimetry, Conductometry, Potentiometry, pH Metry |
| 21PSPL27 | Programming for Problem Solving Laboratory (C) | Lab | 1 | C Program Debugging, Array and String Operations, Pointer Arithmetic, User-Defined Functions, File I/O Operations |
| 21KAN28 | Samskrutika Kannada / Balake Kannada | Mandatory Non-Credit | 0 | Kannada Language Skills, Basic Grammar, Reading and Writing, Cultural Aspects of Karnataka, Introduction to Kannada Literature |
| 21ENV29 | Environmental Studies | Mandatory Non-Credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Global Environmental Issues, Sustainable Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS31 | Data Structures | Core | 3 | Arrays and Abstract Data Types, Stacks and Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Hashing |
| 21CS32 | Analog and Digital Electronics | Core | 3 | Diode Circuits, Transistor Biasing and Amplifiers, Operational Amplifiers, Logic Gates and Boolean Algebra, Combinational and Sequential Logic |
| 21CS33 | Computer Organization and Architecture | Core | 3 | Basic Computer Functions, Central Processing Unit, Memory System, Input/Output Organization, Pipelining and Parallel Processing |
| 21CS34 | Operating System | Core | 3 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, File Systems and I/O |
| 21IOTC35 | Introduction to Internet of Things | Core | 3 | IoT Architecture and Design Principles, IoT Devices and Gateways, IoT Communication Protocols, IoT Data Management and Analytics, IoT Security and Privacy |
| 21CSL36 | Data Structures Laboratory | Lab | 1 | Implementation of Stacks and Queues, Linked List Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Algorithms |
| 21IOTL37 | IoT and OS Laboratory | Lab | 1 | IoT Device Interfacing (Arduino/Raspberry Pi), Sensor Data Acquisition, Operating System Commands, Process and Thread Management, Basic Network Configuration |
| 21KSK38 / 21KSL38 | Aakashika Kannada / Vyavaharika Kannada | Mandatory Non-Credit | 0 | Advanced Kannada Grammar, Literary Appreciation, Creative Writing, Spoken Kannada Practice, Cultural Context |
| 21CIP39 | Universal Human Values | Core | 3 | Self-Exploration and Happiness, Harmony in the Human Being, Harmony in the Family and Society, Harmony in Nature/Existence, Professional Ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS41 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Backtracking and Branch & Bound |
| 21CS42 | Microcontrollers & Embedded Systems | Core | 3 | Microcontroller Architecture (ARM), Embedded C Programming, Interfacing with Peripherals, Real-Time Operating Systems (RTOS), Embedded System Design for IoT |
| 21CS43 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| 21CS44 | Object Oriented Programming with Java | Core | 3 | Java Language Fundamentals, Classes, Objects, and Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling and Collections |
| 21IOTC45 | Cyber Security Fundamentals | Core | 3 | Introduction to Cyber Security, Threats, Attacks, and Vulnerabilities, Cryptography and Ciphers, Network Security Concepts, Cyber Laws and Ethics |
| 21CSL46 | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions, Analysis of Algorithm Efficiency |
| 21IOTL47 | Microcontrollers & Cyber Security Lab | Lab | 1 | Microcontroller Programming (ARM Cortex-M), Sensor and Actuator Interfacing, Basic Network Scanning Tools, Vulnerability Assessment Tools, Simple Cryptographic Implementations |
| 21HSD48 / 21CV48 | Entrepreneurship and Innovation / Research Methodology | Core | 2 | Concepts of Entrepreneurship, Business Plan Development, Intellectual Property Rights, Research Design and Methods, Data Collection and Analysis |
| 21CIV49 / 21IDT49 | Constitution of India / Professional Ethics (Audit Course) | Mandatory Non-Credit | 0 | Constitutional Framework, Fundamental Rights and Duties, Judiciary and Executive, Ethical Theories, Professionalism and Responsibilities |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IOT51 | Database Management Systems | Core | 3 | Introduction to DBMS and Data Models, Entity-Relationship Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transaction Management |
| 21IOT52 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Data Link Layer, Network Layer Protocols (IPv4, IPv6), Transport Layer Protocols (TCP, UDP), Application Layer Protocols |
| 21IOT53 | Wireless Sensor Networks | Core | 3 | WSN Architecture and Components, MAC Protocols for WSN, Routing Protocols in WSN, Localization and Time Synchronization, Security and QoS in WSNs |
| 21IOTPE54X | Professional Elective - I | Elective | 3 | Cloud Computing for IoT: Cloud Service Models, Cloud Deployment, IoT-Cloud Integration, Advanced Python Programming: OOP, GUI, Web Development with Flask/Django, Data Science Libraries, Network Security: Firewalls, IDS/IPS, VPNs, Wireless Security Protocols, Web Application Security, Web Programming: HTML5, CSS3, JavaScript, Server-Side Scripting (Node.js/PHP), Database Connectivity |
| 21IOT55 | Open Elective - I | Elective | 3 | Topics from other engineering disciplines or interdisciplinary fields as per VTU approved list, Examples: Introduction to Data Science, Automotive Electronics, Non-Conventional Energy Sources |
| 22IOTL56 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Join Operations, PL/SQL Programming, Database Design Exercises, Transaction Control |
| 22IOTL57 | Computer Networks Lab | Lab | 1 | Network Commands and Tools (ping, traceroute), Socket Programming, Protocol Analysis (Wireshark), Network Configuration (Cisco Packet Tracer), Subnetting and IP Addressing |
| 21IOD58 / 21IOT58 | Industrial Internship / Mini Project | Internship/Project | 2 | Industry Exposure, Practical Application of Skills, Problem Identification, Solution Design, Project Documentation |
| 21CPE59 | Professional Practice | Core | 2 | Communication Skills, Teamwork and Collaboration, Professional Ethics and Values, Resume Building and Interview Skills, Technical Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IOT61 | Machine Learning for IoT | Core | 3 | Introduction to Machine Learning, Supervised Learning Algorithms (Regression, Classification), Unsupervised Learning Algorithms (Clustering), Deep Learning Fundamentals, ML Applications in IoT |
| 21IOT62 | Data Science for IoT | Core | 3 | Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Big Data Tools for IoT Analytics |
| 21IOT63 | Mobile Computing | Core | 3 | Wireless Communication Technologies (GSM, 5G), Mobile IP and Ad-hoc Networks, Mobile Operating Systems (Android/iOS), Mobile Application Development, Location-Based Services |
| 21IOTPE64X | Professional Elective - II | Elective | 3 | Embedded Systems for IoT: ARM Processors, RTOS, Sensor Interfacing, IoT Edge Devices, Blockchain Technology: Distributed Ledgers, Cryptography, Smart Contracts, DApps for IoT, IoT Architecture and Protocols: IoT Reference Models, MQTT, CoAP, LoRaWAN, NB-IoT, Ethical Hacking: Footprinting, Scanning, System Hacking, Web Application Attacks, Wireless Hacking |
| 21IOT65 | Open Elective - II | Elective | 3 | Topics from other engineering disciplines or interdisciplinary fields as per VTU approved list, Examples: Cyber Physical Systems, Renewable Energy Technologies, Operations Research |
| 22IOTL66 | Machine Learning for IoT Lab | Lab | 1 | ML Libraries (Scikit-learn, TensorFlow), Classification and Regression Models, Clustering Techniques, IoT Data Processing for ML, Model Evaluation Metrics |
| 22IOTL67 | Data Science for IoT Lab | Lab | 1 | Data Loading and Cleaning, Data Visualization (Matplotlib, Seaborn), Statistical Hypothesis Testing, Feature Engineering, Predictive Analytics on IoT Data |
| 21IOTMP68 | Mini Project with Seminar / Industrial Internship | Internship/Project | 2 | Project Implementation, Technical Presentation Skills, Problem-Solving in an Industrial Context, Report Writing, Team Collaboration |
| 21CIP69 | Universal Human Values II | Core | 3 | Understanding Human Relationship, Ethics of Professional Competence, Case Studies for Value Education, Holistic Technologies, Future of Human Society |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IOT71 | Big Data Analytics | Core | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and Stream Processing, NoSQL Databases (MongoDB, Cassandra), Big Data Applications in IoT |
| 21IOT72 | Digital Forensics and Incident Response | Core | 3 | Digital Forensics Process, Evidence Acquisition and Analysis, Network Forensics, Malware Analysis, Incident Response Planning |
| 21IOTPE73X | Professional Elective - III | Elective | 3 | Robotics for IoT: Robot Kinematics, Sensors and Actuators, Robot Programming, IoT-Robot Integration, Quantum Computing for IoT: Quantum Mechanics, Qubits, Quantum Gates, Quantum Algorithms, Quantum Cryptography, Cryptography & Network Security: Symmetric and Asymmetric Ciphers, Hash Functions, Digital Signatures, VPN, PKI, Wireless Communication for IoT: Wireless Channel Characteristics, Cellular Systems, Wi-Fi, Bluetooth, LoRa, NB-IoT |
| 21IOTPE74X | Professional Elective - IV | Elective | 3 | Edge Computing: Edge Architecture, Edge Devices, Edge Analytics, Fog Computing, Edge Security, IoT Product Design & Development: Product Lifecycle, UX/UI Design, Prototyping, Business Models for IoT, Intrusion Detection Systems: IDS/IPS Types, Signature-Based, Anomaly-Based Detection, SIEM Solutions, Human-Computer Interaction: HCI Principles, User-Centered Design, Usability Testing, Interaction Paradigms |
| 21IOTPR75 | Project Work - I | Project | 3 | Problem Statement Definition, Literature Survey, System Design and Architecture, Methodology Development, Initial Prototyping |
| 21IOTIN76 | Internship (Mandatory) | Internship/Project | 2 | Real-World Industry Experience, Application of Theoretical Knowledge, Professional Networking, Project Execution in a Corporate Environment, Report Preparation |
| 21IOTSL77 | Skill Lab | Lab | 0 | Advanced IoT Platform Usage (e.g., AWS IoT, Azure IoT), Cyber Security Tool Mastery (e.g., Kali Linux, Metasploit), Cloud-Native Application Development for IoT, Containerization (Docker, Kubernetes), DevOps for IoT |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IOTPE81X | Professional Elective - V | Elective | 3 | Smart Cities and IoT: Urban Sensing, Smart Transportation, Smart Energy Grids, Smart Waste Management, IoT Governance, Augmented Reality and Virtual Reality: AR/VR Devices, SDKs, Application Development, 3D Modeling, AR/VR for Industrial IoT, Deep Learning for IoT: Neural Network Architectures, CNNs, RNNs, Reinforcement Learning, DL for Anomaly Detection in IoT, IoT Security and Privacy: IoT Attack Vectors, Authentication, Authorization, Data Encryption, Secure Firmware Updates |
| 21IOTPR82 | Project Work - II | Project | 8 | System Implementation, Testing and Debugging, Performance Evaluation, Documentation and Reporting, Solution Deployment |
| 21IOTSE83 | Technical Seminar | Project/Seminar | 2 | Literature Review on Advanced Topics, Technical Research and Analysis, Presentation Skills, Question and Answer Session, Report Submission |
| 21IOTPP84 | Internship (Mandatory) | Internship/Project | 2 | Advanced Industry Project, Professional Skill Development, Mentorship and Feedback, Career Preparedness, Final Internship Report and Presentation |
