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B-TECH in Computer Science And Engineering Internet Of Things at University of Petroleum and Energy Studies
Dehradun, Uttarakhand
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About the Specialization
What is Computer Science and Engineering (Internet of Things) at University of Petroleum and Energy Studies Dehradun?
This B.Tech Computer Science and Engineering (Internet of Things) program at UPES focuses on equipping students with expertise in designing, developing, and deploying IoT solutions. It addresses the growing demand for professionals who can integrate sensors, devices, networks, and cloud platforms for smart applications. The curriculum emphasizes practical skills relevant to India''''s burgeoning smart cities and industrial automation sectors, preparing graduates for cutting-edge roles.
Who Should Apply?
This program is ideal for fresh graduates passionate about technology and innovation, particularly those keen on connecting the physical and digital worlds. It also suits working professionals looking to upskill in emerging areas like smart infrastructure, industrial IoT, and data analytics. Students with a strong foundation in science and mathematics, particularly physics and programming, will find this specialization highly engaging and rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including IoT Developer, Embedded Systems Engineer, Cloud IoT Solutions Architect, Data Scientist for IoT, and IoT Security Analyst. Entry-level salaries range from INR 4-7 LPA, growing significantly with experience. The program aligns with certifications in cloud platforms (AWS, Azure) and prepares students for roles in startups, MNCs, and government projects in the IoT domain.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant effort to mastering C/Python programming and data structures in the first two semesters. Strong foundational coding skills are crucial for all subsequent advanced IoT topics.
Tools & Resources
GeeksforGeeks, HackerRank, Coursera introductory programming courses
Career Connection
Proficiency in coding is the primary filter for technical roles; strong basics ensure you can tackle complex algorithms and system design problems during placements.
Build a Foundational Project Portfolio- (Semester 1-2)
Start building small, practical projects using basic electronics and microcontrollers (e.g., Arduino/Raspberry Pi) to apply theoretical knowledge. Focus on basic sensor interfacing and data display.
Tools & Resources
Arduino IDE, Raspberry Pi tutorials, Tinkercad for circuit simulation
Career Connection
Early projects demonstrate initiative and practical skills, making your resume stand out for internships and entry-level positions in embedded systems or IoT.
Engage in Peer Learning & Technical Clubs- (Semester 1-2)
Actively participate in departmental technical clubs, workshops, and study groups. Collaborate with peers on problem-solving and knowledge sharing to solidify understanding.
Tools & Resources
UPES Computer Science Club, IoT specific student chapters, Discord/WhatsApp study groups
Career Connection
Develops teamwork, communication, and networking skills, which are highly valued in corporate environments, and exposes you to diverse perspectives and advanced topics.
Intermediate Stage
Deep Dive into IoT Platforms and Protocols- (Semester 3-5)
Beyond coursework, explore popular IoT cloud platforms like AWS IoT, Azure IoT, or Google Cloud IoT. Understand communication protocols (MQTT, CoAP) by implementing them in small projects.
Tools & Resources
AWS Free Tier, Azure Free Account, Node-RED, Eclipse IoT
Career Connection
Hands-on experience with industry-standard platforms makes you highly competitive for roles in IoT development, cloud integration, and solutions architecture.
Pursue Domain-Specific Certifications- (Semester 4-5)
Consider pursuing certifications in areas like Python for Data Science, Cloud Fundamentals (e.g., AWS Cloud Practitioner), or basic cybersecurity. These validate specialized skills.
Tools & Resources
NPTEL courses, Udemy/Coursera certifications, AWS/Azure official training modules
Career Connection
Certifications enhance your resume, demonstrate commitment to specialized areas, and can lead to higher starting salaries and better job opportunities in the IoT ecosystem.
Participate in Hackathons and Competitions- (Semester 3-5)
Engage in IoT-focused hackathons, coding challenges, and innovation competitions. This provides real-world problem-solving experience and helps build a robust project portfolio.
Tools & Resources
Smart India Hackathon, IoT specific challenges on DevPost, Internal college competitions
Career Connection
Showcases problem-solving abilities, creativity, and the capacity to work under pressure, which are highly valued by recruiters for technical roles.
Advanced Stage
Undertake Industry Internships/Major Projects- (Semester 6-8)
Secure a meaningful internship in an IoT-focused company or commit to a substantial major project that addresses a real-world problem. Focus on end-to-end solution development.
Tools & Resources
UPES Career Services, LinkedIn for internship searches, IEEE project databases
Career Connection
Internships are often direct pathways to full-time employment and provide invaluable industry exposure. Major projects demonstrate capability to deliver complex solutions.
Develop Specialized Skillsets in AI/ML for IoT- (Semester 6-7)
Given the convergence of AI/ML with IoT, dedicate time to building strong skills in machine learning algorithms, data analytics, and deployment of AI models on edge devices.
Tools & Resources
TensorFlow Lite, OpenVINO Toolkit, Kaggle for datasets and competitions, Andrew Ng''''s ML course
Career Connection
Positions like ''''IoT Data Scientist'''' or ''''Edge AI Engineer'''' are highly in-demand in India. This specialization will open doors to advanced and high-paying roles.
Focus on Placement-Specific Skill Refinement- (Semester 7-8)
Prepare rigorously for technical interviews by practicing data structures and algorithms, system design, and behavioral questions. Tailor your resume and portfolio to target IoT roles.
Tools & Resources
LeetCode, Interviews.io, GeeksforGeeks interview section, Mock interview sessions
Career Connection
Directly impacts your success in securing placements with top companies. A well-prepared candidate stands out in competitive hiring processes.
Program Structure and Curriculum
Eligibility:
- Minimum 50% marks in Class X & XII. Minimum 50% in Physics, Chemistry, and Mathematics (PCM) in Class XII.
Duration: 8 semesters / 4 years
Credits: 178 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG1001 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Linear Transformations |
| CSEG1002 | Engineering Physics | Core | 3 | Wave Optics, Quantum Mechanics, Solid State Physics, Laser Physics, Electromagnetism |
| CSEG1003 | Introduction to Programming | Core | 3 | Programming Fundamentals (C/Python), Data Types and Variables, Control Structures (loops, conditionals), Functions and Modules, Arrays and Pointers |
| CSEG1004 | Communicative English | Core | 2 | Grammar and Vocabulary, Reading Comprehension, Writing Skills, Presentation Skills, Professional Communication |
| CSEG1005 | Environmental Studies | Core | 2 | Ecosystems, Biodiversity and Conservation, Environmental Pollution, Renewable Energy, Sustainable Development |
| CSEG1006 | Basic Electrical & Electronics Engineering | Core | 3 | DC & AC Circuits, Semiconductor Devices, Digital Logic Gates, Transformers, Operational Amplifiers |
| CSEG1007 | Engineering Physics Lab | Lab | 1 | Interference and Diffraction, Semiconductor Characteristics, Hall Effect, Planck''''s Constant, Magnetic Field Measurement |
| CSEG1008 | Introduction to Programming Lab | Lab | 1 | Basic Programming Exercises, Conditional Statements Implementation, Looping Constructs Usage, Function Development, Array and String Operations |
| CSEG1009 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Ohm''''s Law Verification, Diode Characteristics, Transistor Biasing, Logic Gate Realization, Rectifier Circuits |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG2001 | Differential Equations & Numerical Methods | Core | 4 | First Order Differential Equations, Higher Order Linear DEs, Laplace Transforms, Numerical Integration, Numerical Solutions of ODEs |
| CSEG2002 | Engineering Chemistry | Core | 3 | Water Technology, Corrosion and its Control, Polymers, Electrochemistry, Spectroscopic Techniques |
| CSEG2003 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching Algorithms, Sorting Algorithms |
| CSEG2004 | Object-Oriented Programming | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, File I/O |
| CSEG2005 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| CSEG2006 | Design Thinking | Core | 2 | Empathize and Define, Ideation Techniques, Prototyping, Testing and Feedback, User-Centered Design |
| CSEG2007 | Engineering Chemistry Lab | Lab | 1 | Water Hardness Determination, Titrations (Acid-Base, Redox), Viscosity Measurement, Calorimetry, Corrosion Rate Analysis |
| CSEG2008 | Data Structures Lab | Lab | 1 | Array and Linked List Operations, Stack and Queue Implementation, Tree Traversal Algorithms, Graph Representation and Algorithms, Sorting and Searching Practice |
| CSEG2009 | Object-Oriented Programming Lab | Lab | 1 | Class and Object Creation, Inheritance and Polymorphism Examples, Abstract Classes and Interfaces, File Handling Applications, GUI Programming Basics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG3001 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proofs, Relations and Functions, Graph Theory, Combinatorics |
| CSEG3002 | Computer Organization and Architecture | Core | 3 | CPU Organization, Memory Hierarchy, I/O Organization, Instruction Set Architecture, Pipelining |
| CSEG3003 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| CSEG3004 | Database Management Systems | Core | 3 | ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| CSEG3005 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| CSEG3006 | IoT Fundamentals | Specialization Core | 3 | Introduction to IoT, IoT Architecture, IoT Enabling Technologies, IoT Applications, IoT Ecosystem |
| CSEG3007 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, IPC Mechanisms, CPU Scheduling Algorithms, Memory Allocation Techniques |
| CSEG3008 | Database Management Systems Lab | Lab | 1 | DDL and DML Commands, Advanced SQL Queries, Joins and Subqueries, PL/SQL Programming, Database Connectivity (JDBC/ODBC) |
| CSEG3009 | IoT Fundamentals Lab | Lab | 1 | Sensor Interfacing, Actuator Control, Microcontroller Programming, Basic IoT Communication, Data Acquisition from Sensors |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG4001 | Probability & Statistics | Core | 3 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression Analysis |
| CSEG4002 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Network Topologies, Data Link Layer, Network Layer, Transport Layer |
| CSEG4003 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Project Management |
| CSEG4004 | Microcontrollers & Embedded Systems | Specialization Core | 3 | Microcontroller Architecture, Embedded C Programming, Interrupts and Timers, Communication Protocols (SPI, I2C, UART), Real-time Operating Systems (RTOS) |
| CSEG4005 | Wireless Sensor Networks | Specialization Core | 3 | WSN Architecture, Routing Protocols in WSN, Localization Techniques, Data Aggregation, Energy Management in WSN |
| CSEG4006 | Open Elective-I | Elective | 3 | |
| CSEG4007 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Packet Analysis (Wireshark), Routing Protocol Simulation, Client-Server Application Development |
| CSEG4008 | Microcontrollers & Embedded Systems Lab | Lab | 1 | Microcontroller Interfacing (LED, LCD), Timer and Interrupt Programming, Sensor Data Acquisition, Motor Control, Serial Communication Protocols |
| CSEG4009 | Wireless Sensor Networks Lab | Lab | 1 | WSN Node Setup, Data Transmission between Nodes, Routing Protocol Implementation, Energy Consumption Measurement, Security Protocol Evaluation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG5001 | Artificial Intelligence & Machine Learning | Core | 4 | AI Fundamentals, Search Algorithms, Supervised Learning, Unsupervised Learning, Neural Networks Basics |
| CSEG5002 | Cloud Computing for IoT | Specialization Core | 3 | Cloud Computing Models (IaaS, PaaS, SaaS), IoT Cloud Platforms (AWS IoT, Azure IoT), Cloud Storage for IoT Data, Edge Computing Integration, Cloud Security for IoT |
| CSEG5003 | IoT Data Analytics | Specialization Core | 3 | Big Data for IoT, Data Preprocessing, Predictive Analytics, Real-time Analytics, Visualization Tools |
| CSEG5004 | Professional Elective-I (IoT) | Elective | 3 | |
| CSEG5005 | Professional Elective-II (IoT) | Elective | 3 | |
| CSEG5006 | Open Elective-II | Elective | 3 | |
| CSEG5007 | AI & Machine Learning Lab | Lab | 1 | Python for ML, Data Preprocessing with Pandas, Scikit-learn Algorithms, TensorFlow/Keras Basics, Model Evaluation Metrics |
| CSEG5008 | Cloud Computing for IoT Lab | Lab | 1 | AWS IoT Core Setup, Azure IoT Hub Configuration, Serverless Functions (Lambda/Azure Functions), Data Storage in Cloud, Device Management in Cloud |
| CSEG5009 | IoT Data Analytics Lab | Lab | 1 | Sensor Data Collection & Storage, Data Cleaning & Transformation, Time Series Analysis, Dashboard Creation (Grafana/Power BI), Predictive Modeling on IoT Data |
| CSEG5010 | Mini Project | Project | 2 | Problem Identification, Requirement Analysis, Design and Implementation, Testing and Evaluation, Report Writing and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG6001 | Blockchain Technology | Core | 3 | Blockchain Fundamentals, Cryptocurrency Basics, Smart Contracts, Consensus Mechanisms, Decentralized Applications |
| CSEG6002 | IoT Security | Specialization Core | 3 | IoT Security Challenges, Authentication and Authorization, Data Encryption in IoT, Secure Boot and Firmware, Threat Modeling for IoT Devices |
| CSEG6003 | Industrial IoT (IIoT) | Specialization Core | 3 | IIoT Architecture, SCADA Systems, Industry 4.0, Predictive Maintenance, Digital Twins |
| CSEG6004 | Professional Elective-III (IoT) | Elective | 3 | |
| CSEG6005 | Professional Elective-IV (IoT) | Elective | 3 | |
| CSEG6006 | Open Elective-III | Elective | 3 | |
| CSEG6007 | Blockchain Technology Lab | Lab | 1 | Setting up a Private Blockchain, Smart Contract Development (Solidity), Decentralized Application (dApp) Creation, Blockchain Network Configuration, Wallet and Transaction Management |
| CSEG6008 | IoT Security Lab | Lab | 1 | IoT Device Vulnerability Assessment, Implementing Authentication Protocols, Data Encryption on IoT Devices, Network Intrusion Detection for IoT, Secure OTA Updates |
| CSEG6009 | Industrial IoT Lab | Lab | 1 | PLC Programming, SCADA System Setup, Sensor Integration in Industrial Environment, IIoT Gateway Configuration, Predictive Maintenance Simulation |
| CSEG6010 | Internship/Major Project-I | Project | 6 | Industry Problem Identification, Solution Design, Initial Implementation, Literature Review, Project Planning |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG7001 | Deep Learning for IoT | Specialization Core | 4 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transfer Learning, Edge AI for IoT |
| CSEG7002 | Human Computer Interaction | Core | 3 | User Interface Design, Usability Principles, Interaction Design, User Experience (UX) Evaluation, HCI for IoT Devices |
| CSEG7003 | Professional Elective-V (IoT) | Elective | 3 | |
| CSEG7004 | Open Elective-IV | Elective | 3 | |
| CSEG7005 | Deep Learning for IoT Lab | Lab | 1 | Implementing CNNs for Image Processing, RNNs for Time Series Prediction, Deploying Models on Edge Devices, Model Optimization Techniques, Data Augmentation |
| CSEG7006 | Major Project-II | Project | 8 | Advanced System Design, Complex Implementation, Performance Optimization, Extensive Testing and Validation, Thesis Writing and Defense |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSEG8001 | Professional Ethics and Intellectual Property Rights | Core | 3 | Ethical Theories, Professional Responsibility, Cyber Ethics, Intellectual Property Law, Patents, Copyrights, Trademarks |
| CSEG8002 | Advanced Topics in IoT | Specialization Core | 4 | Quantum Computing for IoT, Cognitive IoT, Federated Learning in IoT, Sustainable IoT, Advanced IoT Protocols |
| CSEG8003 | Professional Elective-VI (IoT) | Elective | 3 | |
| CSEG8004 | Internship/Project Based Learning | Project | 8 | Real-world Project Implementation, Industry Problem Solving, Advanced Tool Usage, Team Collaboration, Project Documentation and Presentation |
