.png&w=1920&q=75)
B-TECH in Internet Of Things Iot at Shoolini University of Biotechnology and Management Sciences
Solan, Himachal Pradesh
.png&w=1920&q=75)
About the Specialization
What is Internet of Things (IoT) at Shoolini University of Biotechnology and Management Sciences Solan?
This Internet of Things (IoT) specialization program at Shoolini University of Biotechnology and Management Sciences focuses on equipping students with the interdisciplinary skills required to design, develop, and deploy intelligent IoT solutions. With India''''s rapid digital transformation, this program emphasizes practical application, blending core computer science principles with specialized knowledge in sensors, embedded systems, data analytics, and cloud platforms relevant to smart cities, healthcare, and industrial automation. It addresses the growing demand for skilled professionals who can navigate complex IoT ecosystems.
Who Should Apply?
This program is ideal for fresh engineering graduates seeking entry into the booming IoT sector, offering a solid foundation for innovation. It also caters to working professionals from related fields like electronics or computer science looking to upskill and specialize in cutting-edge IoT technologies. Career changers transitioning into the digital transformation industry will find this program''''s structured approach beneficial, provided they possess a strong aptitude for logical reasoning and a basic understanding of programming concepts.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including IoT Developer, Embedded Systems Engineer, IoT Solutions Architect, Data Scientist for IoT, and IoT Security Specialist. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals commanding INR 10-25+ LPA in leading Indian IT firms, manufacturing, and R&D sectors. The program''''s comprehensive curriculum aligns with industry certifications, fostering continuous growth and leadership roles in India''''s technology landscape.
Student Success Practices
Foundation Stage
Master Core Programming & Math- (Semester 1-2)
Focus intensely on C/Python fundamentals, data structures, and engineering mathematics. Regularly solve problems on platforms like HackerRank and LeetCode (easy level) to build logical thinking and coding proficiency, which are foundational for IoT device programming and data processing.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, University Math & Programming Labs
Career Connection
Strong programming and mathematical skills are prerequisites for understanding embedded systems, data processing, and algorithmic thinking crucial for any IoT role.
Hands-on with Basic Electronics- (Semester 1-2)
Utilize university labs and online resources (e.g., Coursera''''s Arduino/Raspberry Pi basics) to understand circuits, sensors, and microcontrollers. This early practical exposure is crucial for understanding how IoT devices physically interact with the environment, paving the way for advanced IoT projects.
Tools & Resources
Arduino Starter Kits, Raspberry Pi, Coursera/edX Basic Electronics Courses, University Electronics Labs
Career Connection
Direct experience with hardware components and basic circuits is essential for embedded systems development and effective troubleshooting in IoT projects.
Active Learning & Peer Study Groups- (Semester 1-2)
Engage actively in lectures, participate in coding contests, and form study groups. Collaborative learning helps in clarifying complex concepts, especially in interdisciplinary areas like physics and electrical engineering, fostering a supportive academic environment and strong problem-solving skills for future team projects.
Tools & Resources
University Library Resources, Microsoft Teams/Google Meet for study groups, Online Coding Forums
Career Connection
Developing strong collaboration and communication skills through group work prepares students for team-oriented industry projects and enhances problem-solving abilities.
Intermediate Stage
Deep Dive into Embedded Systems & Networks- (Semester 3-5)
Focus on Microprocessor/Microcontroller courses (EC203) and Computer Networks (CS301). Build mini-projects using Arduino/Raspberry Pi connected to local networks, simulating basic IoT scenarios. Resources like official documentation and online communities are invaluable for hands-on learning.
Tools & Resources
Arduino IDE, Raspberry Pi OS, Packet Tracer, Stack Overflow, GitHub
Career Connection
A strong grasp of embedded systems and networking protocols is fundamental for designing, implementing, and maintaining connected IoT devices and infrastructure.
Explore IoT-Specific Electives & Tools- (Semester 3-5)
Actively choose and excel in IoT specialization electives like ''''Introduction to IoT'''' (CSPE001). Beyond academics, start learning specific IoT platforms like AWS IoT, Azure IoT Hub, or Google Cloud IoT Core, and experiment with popular protocols such as MQTT, CoAP, and HTTP, using their free tiers or developer accounts.
Tools & Resources
AWS IoT Core (Free Tier), Azure IoT Hub (Free Tier), Google Cloud IoT Core (Free Tier), MQTT clients (e.g., MQTT Explorer), Postman for API testing
Career Connection
Familiarity with industry-standard IoT platforms and protocols directly enhances employability for roles in IoT solution development and cloud integration.
Participate in Hackathons & Technical Competitions- (Semester 3-5)
Join university or external hackathons focused on embedded systems, smart devices, or automation. These events provide real-world problem-solving experience, expose students to new technologies, and help build a strong portfolio and network, making them attractive to potential employers for internships and placements.
Tools & Resources
Devfolio, MLH (Major League Hacking), Local Tech Meetups, University Technical Societies
Career Connection
Winning or participating in technical competitions demonstrates practical skills, teamwork, and innovation, significantly boosting one''''s resume and networking opportunities for internships.
Advanced Stage
Develop End-to-End IoT Solutions- (Semester 6-8)
Focus intensely on ''''IoT Platform & Data Analytics'''' (CSPE010) and ''''IoT Application Development'''' (CSPE019). Undertake a significant final year project that involves designing, implementing, and deploying a full-stack IoT solution, integrating sensors, cloud platforms, and user interfaces. This demonstrates comprehensive skill application for industry roles.
Tools & Resources
Full-stack development frameworks (e.g., Node.js, Python Flask/Django), Cloud platforms (AWS/Azure/GCP), IoT hardware kits (e.g., NVIDIA Jetson Nano, advanced Arduino/ESP32), Data visualization tools (e.g., Grafana, Power BI)
Career Connection
Showcasing a complete, functional IoT project proves the ability to deliver production-ready solutions, highly valued by employers for IoT architect and developer roles.
Prioritize Industry Internships & Certifications- (Semester 6-8)
Secure internships in IoT-focused companies (startups or MNCs) to gain practical industry exposure and network. Pursue professional certifications from cloud providers (e.g., AWS Certified IoT Specialty) or specific IoT technology vendors. These credentials significantly boost employability and showcase specialized expertise to recruiters.
Tools & Resources
LinkedIn Jobs, Internshala, Naukri.com, AWS Certification website, Microsoft Learn for Azure Certifications
Career Connection
Internships offer real-world experience and potential pre-placement offers, while certifications validate specialized skills, making graduates highly competitive in the job market.
Build a Professional Portfolio & Network- (undefined)
Document all projects (academic, personal, internship) meticulously on platforms like GitHub and LinkedIn. Attend industry conferences, workshops, and webinars to stay updated on emerging trends and connect with professionals. A strong portfolio and network are crucial for securing high-quality placements and future career growth in the competitive IoT market.
Tools & Resources
GitHub (for project code and documentation), LinkedIn (for professional networking and profile building), Online portfolio platforms, Industry conferences (e.g., IoT India Congress)
Career Connection
A well-maintained portfolio and a robust professional network are invaluable for showcasing capabilities, discovering job opportunities, and advancing one''''s career in the IoT domain.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject/Computer Science/Information Technology/Informatics Practices/Agriculture/Engineering Graphics/Business Studies with at least 50% marks in the above subjects taken together. OR Passed D.Voc. Stream in the same or allied sector.
Duration: 8 semesters / 4 years
Credits: 151 (Calculated from extracted subjects, see missing_elements for discrepancy) Credits
Assessment: Internal: 40% (for Theory courses), 60% (for Practical/Lab courses), External: 60% (for Theory courses), 40% (for Practical/Lab courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Complex Numbers, Ordinary Differential Equations |
| PH101 | Engineering Physics | Core | 4 | Wave Optics, Lasers, Quantum Mechanics, Solid State Physics, Electromagnetic Theory |
| EE101 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Basic Electronics |
| CS101 | Computer Programming & Problem Solving | Core | 3 | Introduction to Programming, Control Structures, Functions and Recursion, Arrays and Pointers, Structures and File Handling |
| HU101 | English Language & Communication | Core | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Public Speaking, Report Writing |
| PH102 | Engineering Physics Lab | Lab | 1 | Wave Optics Experiments, Laser Characteristics, Semiconductor Device Properties, Energy Band Gap Measurement, Magnetic Field Measurement |
| EE102 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Network Theorems, AC Circuit Analysis, Transformer Characteristics, Motor Speed Control, Basic Electronic Components Testing |
| CS102 | Computer Programming & Problem Solving Lab | Lab | 1 | Programming in C/Python, Debugging Techniques, Problem Solving with Loops, Function Implementation, File Operations |
| ME101 | Engineering Graphics & Design | Lab | 2 | Drawing Instruments and Conventions, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to AutoCAD |
| HU102 | Universal Human Values & Ethics | Core | 2 | Ethics and Morality, Human Values, Professional Ethics, Environmental Ethics, Indian Culture and Values |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Engineering Mathematics - II | Core | 4 | Linear Algebra, Vector Calculus, Partial Differential Equations, Fourier Series, Laplace Transforms |
| CH101 | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry and Corrosion, Polymers and Composites, Fuels and Combustion, Phase Rule and Phase Diagram |
| ME102 | Mechanics | Core | 3 | Statics of Particles, Equilibrium of Rigid Bodies, Friction, Kinematics of Rigid Bodies, Work-Energy Principle |
| ME103 | Workshop Manufacturing Practices | Lab | 2 | Carpentry, Welding Techniques, Fitting Operations, Sheet Metal Working, Machining Processes |
| HU103 | Professional Skills - I | Core | 2 | Soft Skills Development, Presentation Skills, Group Discussion Techniques, Interview Preparation, Resume and Cover Letter Writing |
| CH102 | Engineering Chemistry Lab | Lab | 1 | Water Quality Analysis, Viscosity Measurement, Acid-Base Titration, Polymer Synthesis, Conductometric Titration |
| EN101 | Environmental Sciences | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Global Environmental Issues, Environmental Legislation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS201 | Data Structures & Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Algorithms, Sorting and Searching Algorithms |
| CS202 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| EC201 | Digital Electronics | Core | 3 | Logic Gates and Boolean Algebra, Combinational Circuits, Sequential Circuits, Flip-Flops and Registers, Memory Devices |
| CS203 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Constructors and Destructors, Exception Handling |
| CS204 | Data Structures & Algorithms Lab | Lab | 1 | Array and Linked List Implementations, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms Implementation, Sorting and Searching Practice |
| EC202 | Digital Electronics Lab | Lab | 1 | Logic Gate Verification, Combinational Circuit Design, Sequential Circuit Implementation, Flip-Flop Applications, Multiplexers and Demultiplexers |
| CS205 | Object Oriented Programming Lab | Lab | 1 | Classes and Objects Programming, Inheritance and Polymorphism Exercises, Abstract Classes and Interfaces, Exception Handling Implementation, File I/O in OOP |
| HU201 | Professional Skills - II | Core | 2 | Teamwork and Collaboration, Problem Solving Skills, Critical Thinking, Time Management, Negotiation Skills |
| CS206 | Computer Organization & Architecture | Core | 3 | Basic Computer Structure, CPU Design and Functions, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS207 | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, File Systems and I/O |
| CS208 | Database Management Systems | Core | 3 | DBMS Architecture, ER Model and Relational Model, SQL Queries and Operations, Normalization, Transaction Management |
| CS209 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis and Complexity, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| EC203 | Microprocessor & Microcontroller | Core | 3 | 8085/8086 Microprocessor Architecture, Assembly Language Programming, Memory and I/O Interfacing, Microcontrollers (8051), Embedded System Concepts |
| CS210 | Operating Systems Lab | Lab | 1 | Linux Commands and Utilities, Shell Scripting, Process Management Exercises, CPU Scheduling Simulation, Memory Allocation Techniques |
| CS211 | Database Management Systems Lab | Lab | 1 | SQL Query Practice, Database Design and Implementation, PL/SQL Programming, Database Connectivity, Transaction Control |
| EC204 | Microprocessor & Microcontroller Lab | Lab | 1 | 8085/8086 Assembly Language Programs, Interfacing with Peripherals, Microcontroller Programming, Interrupt Handling, ADC/DAC Interfacing |
| HU202 | Professional Skills - III | Core | 2 | Emotional Intelligence, Conflict Resolution, Leadership Skills, Business Etiquette, Cultural Sensitivity |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA301 | Probability & Statistics | Core | 3 | Probability Theory, Random Variables and Distributions, Statistical Hypothesis Testing, Correlation and Regression, ANOVA |
| CS301 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer Concepts, Data Link Layer Protocols, Network Layer Protocols, Transport and Application Layers |
| CS302 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| CS303 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability and Complexity |
| CS304 | Computer Networks Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming, Network Traffic Analysis with Wireshark, Routing Protocols Implementation, Client-Server Communication |
| CS305 | Software Engineering Lab | Lab | 1 | Requirements Gathering Tools, UML Diagramming, Software Design Documentation, Test Case Generation, Version Control Systems |
| CSPE001 | Introduction to IoT | Specialization Elective | 3 | IoT Architecture and Paradigms, IoT Devices and Components, Sensors, Actuators, Microcontrollers, IoT Communication Protocols, IoT Cloud Platforms and Analytics, IoT Security and Privacy |
| OEI | Open Elective – I | Elective | 3 | |
| SI301 | Industrial Training / Internship | Practical | 2 | Practical Industry Exposure, Project Work in Industry, Report Writing, Professional Communication, Team Collaboration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS306 | Artificial Intelligence | Core | 3 | Introduction to AI Agents, Search Algorithms (Uninformed, Informed), Knowledge Representation, Machine Learning Basics, Expert Systems |
| CS307 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS308 | Artificial Intelligence Lab | Lab | 1 | Python Libraries for AI (Numpy, Pandas), Search Algorithm Implementation, Constraint Satisfaction Problems, Logic Programming (Prolog), Basic Machine Learning Models |
| CS309 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Design (LL, LR), Syntax Tree Construction, Intermediate Code Generation, Code Optimization Techniques |
| CSPE004 | IoT Sensors and Devices | Specialization Elective | 3 | Sensor Technologies (Types, Characteristics), Actuators and Control Systems, Microcontrollers for IoT (ESP32, Arduino), Wireless Communication Modules (Wi-Fi, Bluetooth, LoRa), Edge Devices and Gateways, Device Interfacing and Protocols |
| CSPE007 | Wireless Sensor Networks | Specialization Elective | 3 | WSN Architecture and Design, MAC Protocols for WSN, Routing Protocols in WSN, Localization and Time Synchronization, Security in WSN, Applications of WSN |
| OEII | Open Elective – II | Elective | 3 | |
| CSPJ301 | Mini Project – I | Project | 2 | Project Planning and Management, Design and Implementation, Testing and Debugging, Documentation and Presentation, Problem-Solving Application |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSPE010 | IoT Platform & Data Analytics | Specialization Elective | 3 | Cloud Platforms for IoT (AWS IoT, Azure IoT), Data Ingestion and Storage, IoT Data Processing and Stream Analytics, Big Data Analytics for IoT, Machine Learning in IoT Applications, Visualization and Dashboards |
| CSPE013 | IoT Security & Privacy | Specialization Elective | 3 | IoT Security Threats and Vulnerabilities, Attack Surfaces in IoT, Cryptography for IoT Devices, Access Control and Authentication, Privacy Preserving Techniques, Regulatory Compliance (GDPR, HIPAA) |
| OEIII | Open Elective – III | Elective | 3 | |
| CSPJ401 | Project – I | Project | 4 | Research Methodology, System Design and Architecture, Development and Prototyping, Testing and Validation, Technical Report Writing and Presentation |
| SI401 | Industrial Training / Internship | Practical | 2 | Advanced Industry Exposure, Real-world Project Implementation, Problem Solving in an Industrial Setting, Professional Skill Enhancement, Career Preparedness |
| VAC401 | Vacation Training / Internship | Practical | 3 | Practical Skill Development, Industry Exposure During Vacations, Software Tool Proficiency, Mentorship and Networking, Application of Learned Concepts |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSPE016 | Cloud Computing for IoT | Specialization Elective | 3 | Cloud Computing Architectures, Virtualization and Containerization, Serverless Computing for IoT, Cloud Storage Solutions for IoT Data, Edge Computing and Fog Computing, IoT in Edge-Cloud Continuum |
| CSPE019 | IoT Application Development | Specialization Elective | 3 | IoT Application Layers, Mobile Application Development for IoT, Web Application Development for IoT, API Design for IoT Systems, User Interface and Experience in IoT, Deployment and Management of IoT Apps |
| OEIV | Open Elective – IV | Elective | 3 | |
| CSPJ402 | Project – II | Project | 6 | Advanced Research and Innovation, Comprehensive System Design, Full-stack Development and Integration, Rigorous Testing and Validation, Project Defense and Technical Documentation |
