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B-TECH in Computer Science Engineering Iot 9 38 at Siksha 'O' Anusandhan
Khordha, Odisha
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About the Specialization
What is Computer Science & Engineering (IoT) [9, 38] at Siksha 'O' Anusandhan Khordha?
This Computer Science & Engineering (IoT) program at Siksha ''''O'''' Anusandhan focuses on foundational computing principles combined with cutting-edge Internet of Things technologies. It prepares students for the rapidly expanding IoT landscape in India, covering sensor networks, embedded systems, cloud integration, and data analytics specific to IoT devices. The program emphasizes practical application and innovation in connecting the physical and digital worlds, addressing critical industry demand.
Who Should Apply?
This program is ideal for fresh graduates from 10+2 science streams with a keen interest in technology, networking, and smart systems. It also caters to aspiring innovators looking to contribute to India''''s digital transformation, and those who envision careers in developing intelligent infrastructure. A strong aptitude for problem-solving, programming, and an eagerness to learn about hardware-software interaction are beneficial prerequisites.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including IoT Developer, Embedded Systems Engineer, Cloud Engineer (IoT focus), Data Scientist for IoT, and Network Security Analyst. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-20+ LPA. Growth trajectories are steep in the Indian smart cities, healthcare, and industrial automation sectors, with potential for roles in research and entrepreneurship.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Data Structures- (Semester 1-2)
Consistently practice core programming concepts (C/C++, Python) and data structures. Focus on understanding algorithms and their efficiency. Participate in coding challenges regularly to improve problem-solving skills.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on Data Structures
Career Connection
Strong foundational coding skills are non-negotiable for all IT roles, especially in IoT where efficient code runs on constrained devices.
Build Strong Engineering Basics- (Semester 1-2)
Pay close attention to core engineering subjects like Mathematics, Physics, Chemistry, and Basic Electrical/Electronics. These subjects provide the underlying principles for advanced IoT concepts, particularly in sensor interfacing and network communication.
Tools & Resources
Textbooks, online tutorials, actively participate in lab sessions, peer study groups
Career Connection
A solid understanding of fundamentals aids in understanding complex system designs in IoT and problem-solving at an architectural level.
Engage in Basic Project Development- (Semester 1-2)
Start small personal projects using microcontrollers like Arduino or Raspberry Pi. Experiment with simple sensors and actuators. This hands-on experience builds intuition for hardware-software integration.
Tools & Resources
Arduino IDE, Raspberry Pi OS, online tutorials from Adafruit/SparkFun, local electronics hobby shops
Career Connection
Early exposure to project work develops practical skills and provides initial portfolio examples relevant for IoT internships.
Intermediate Stage
Specialize in IoT Core Technologies- (Semester 4-5)
Deep dive into IoT-specific courses (Internet of Things, Wireless Sensor Networks). Understand various IoT protocols, cloud platforms, and embedded system programming. Pursue certifications if available.
Tools & Resources
AWS IoT, Azure IoT Hub, Google Cloud IoT Core, Cisco Packet Tracer (for network simulation), industry-specific certifications
Career Connection
Direct specialization prepares you for roles like IoT Solutions Architect, Embedded IoT Developer, and IoT Data Analyst.
Undertake Mini-Projects and Internships- (Semester 3-5)
Actively seek out and participate in mini-projects, research projects under faculty guidance, or summer internships in companies working on IoT solutions. Apply theoretical knowledge to real-world problems.
Tools & Resources
University career services, LinkedIn, Internshala, company websites, faculty connections
Career Connection
Internships provide invaluable industry exposure, networking opportunities, and often lead to pre-placement offers.
Develop Interdisciplinary Skills- (Semester 3-5)
Since IoT is highly interdisciplinary, develop skills in related areas like Machine Learning, Cloud Computing, and basic Cybersecurity. Understanding data flow and security is crucial for robust IoT systems.
Tools & Resources
Coursera, edX, NPTEL courses on ML/Cloud/Security, Kaggle for data science practice
Career Connection
A broader skill set makes you a more versatile and valuable asset for companies developing comprehensive IoT solutions.
Advanced Stage
Focus on Capstone Project and Research- (Semester 7-8)
Dedicate significant effort to the final year project, aiming for an innovative and impactful IoT solution. Consider publishing research papers or presenting at conferences. Collaborate with industry partners for project topics.
Tools & Resources
Research labs, industry mentors, project management tools, academic journals
Career Connection
A strong capstone project is a key differentiator in placements, showcasing problem-solving and technical expertise. Research experience can open doors to R&D roles.
Master Advanced IoT Security and Data Analytics- (Semester 6-8)
Delve deeper into securing IoT devices and networks, and leverage data analytics techniques to extract insights from IoT data. Explore concepts like Edge Computing and Fog Computing in the IoT context.
Tools & Resources
Wireshark, Metasploit (for security understanding), TensorFlow, PyTorch, Apache Kafka, Spark for data processing
Career Connection
These advanced skills are critical for roles in secure IoT system design, data architecture, and optimizing large-scale IoT deployments.
Prepare for Placements and Professional Growth- (Semester 6-8)
Actively participate in campus placement drives, mock interviews, and group discussions. Refine your resume and portfolio to highlight IoT-specific projects and skills. Network with alumni and industry professionals.
Tools & Resources
Placement cell resources, professional networking platforms (LinkedIn), interview preparation guides
Career Connection
Effective placement preparation maximizes job offers and secures entry into top companies in the IoT domain, facilitating a strong start to your career.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 167.5 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BE1001 | Chemistry | Core | 3 | Thermodynamics, Electrochemistry and Corrosion, Water Treatment, Polymers, Spectroscopy, Phase Rule and Materials |
| BE1003 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Single Phase AC Circuits, Three Phase AC Circuits, Transformers, Electrical Machines |
| BE1005 | Mathematics-I | Core | 3 | Differential Calculus, Integral Calculus, Matrices, Vector Calculus, Multivariable Calculus |
| CS1001 | Programming for Problem Solving | Core | 3 | Introduction to Programming, Control Flow Statements, Arrays and Strings, Functions and Pointers, Structures and Unions, File Handling |
| HS1001 | Communicative English | Core | 2 | Language Skills, Reading Comprehension, Writing Skills, Vocabulary Building, Listening Skills, Presentation Skills |
| BE1002 | Chemistry Lab | Lab | 1.5 | Acid-Base Titration, Redox Titration, Viscosity Measurement, Conductometric Titration, pH Metric Titration |
| BE1004 | Basic Electrical Engineering Lab | Lab | 1.5 | Ohm''''s Law Verification, Network Theorems, RLC Circuit Characteristics, Transformer Experiments, Motor Control |
| CS1002 | Programming for Problem Solving Lab | Lab | 1.5 | C Language Basics, Control Structures Implementation, Array and String Operations, Function and Pointer Usage, Structure and File Handling |
| ME1001 | Engineering Workshop | Lab | 1.5 | Carpentry Shop, Fitting Shop, Welding Shop, Machining Shop, Foundry Shop, Sheet Metal Shop |
| HS1002 | Communicative English Lab | Lab | 1.5 | Pronunciation Practice, Group Discussion, Public Speaking, Presentation Skills, Interview Practice |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BE1007 | Physics | Core | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Solid State Physics, Semiconductor Physics, Superconductivity |
| BE1009 | Engineering Mechanics | Core | 3 | Forces and Equilibrium, Friction, Kinematics of Particles, Kinetics of Particles, Work, Energy, and Power, Simple Lifting Machines |
| BE1011 | Mathematics-II | Core | 3 | Ordinary Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Analysis |
| EC1001 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Bipolar Junction Transistors, Field Effect Transistors, Operational Amplifiers, Digital Logic Gates, Power Supplies |
| CS1003 | Data Structure using C++ | Core | 3 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BE1008 | Physics Lab | Lab | 1.5 | Laser Wavelength Measurement, Fiber Optic Numerical Aperture, Hall Effect Experiment, PN Junction Characteristics, Transistor Characteristics |
| EC1002 | Basic Electronics Engineering Lab | Lab | 1.5 | Diode Characteristics, Rectifier Circuits, Transistor Amplifier, FET Characteristics, Op-Amp Applications |
| CS1004 | Data Structure using C++ Lab | Lab | 1.5 | Array and List Implementations, Stack and Queue Operations, Tree Traversal, Graph Algorithms, Sorting and Searching Implementation |
| ME1002 | Engineering Graphics & Design | Lab | 1.5 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Basics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2001 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Combinatorics, Graph Theory, Algebraic Structures, Recurrence Relations, Lattices and Boolean Algebra |
| CS2003 | Digital Electronics | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices, Analog to Digital Converters, Digital to Analog Converters |
| CS2005 | Object Oriented Programming | Core | 3 | Introduction to OOP, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Templates, STL and I/O Streams |
| CS2007 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| CS2009 | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| CS2002 | Digital Electronics Lab | Lab | 1.5 | Logic Gates Verification, Combinational Circuit Design, Flip-Flops Implementation, Counters and Registers, ADC/DAC Interface |
| CS2004 | Object Oriented Programming Lab | Lab | 1.5 | Class and Object Implementation, Inheritance and Polymorphism Examples, Operator Overloading, Exception Handling Programs, Template and STL usage |
| CS2006 | Operating Systems Lab | Lab | 1.5 | Shell Programming, Process Creation and Control, CPU Scheduling Algorithms, Memory Allocation Schemes, Deadlock Avoidance |
| HS2001 | Environmental Science & Engineering | Non-Credit | 0 | Ecology and Ecosystems, Pollution Control, Sustainable Development, Waste Management, Environmental Policies |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2011 | Database Management Systems | Core | 3 | Database Concepts, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| CS2013 | Computer Organization and Architecture | Core | 3 | Basic Computer Organization, CPU Design, Memory Hierarchy, I/O Organization, Pipelining, Instruction Set Architecture |
| CS2015 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Software Design, Software Testing, Software Maintenance, Project Management |
| CS2017 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| CS2019 | Microprocessor & Microcontroller | Core | 3 | 8085 Microprocessor Architecture, 8086 Microprocessor Architecture, Assembly Language Programming, Interfacing Techniques, Microcontrollers (8051), Applications of Microcontrollers |
| CS2008 | Database Management Systems Lab | Lab | 1.5 | DDL and DML Commands, SQL Queries (Joins, Subqueries), PL/SQL Programming, Trigger and Cursor Implementation, Transaction Management |
| CS2010 | Computer Organization and Architecture Lab | Lab | 1.5 | Assembly Language Programming (8086), Data Transfer and Arithmetic Operations, Logic Design using Simulators, Memory Interfacing Simulation, I/O Device Interfacing |
| CS2012 | Microprocessor & Microcontroller Lab | Lab | 1.5 | 8085 Assembly Programs, 8086 Assembly Programs, Interfacing with Peripherals, 8051 Microcontroller Programming, Application Development |
| HS2003 | Universal Human Values | Core | 1 | Introduction to Value Education, Harmony in the Human Being, Harmony in the Family and Society, Harmony in Nature, Professional Ethics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS3001 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| CS3003 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| CS3005 | Internet of Things | Core Specialization | 3 | IoT Fundamentals, IoT Architectures, IoT Protocols (MQTT, CoAP), Sensors and Actuators, IoT Platforms, IoT Security |
| CS3007 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Ensemble Methods |
| CS3011 | Professional Elective-I | Elective | 3 | Topics depend on the chosen elective from a list including Mobile Computing, Digital Image Processing, Cloud Computing, Advanced Java Programming, Natural Language Processing, Robotics. |
| HS3001 | Open Elective-I | Elective | 3 | Topics depend on the chosen elective from a list including Management Information System, Cyber Security & Ethical Hacking, Operations Research, Supply Chain Management. |
| CS3002 | Computer Networks Lab | Lab | 1.5 | Network Configuration, Socket Programming, Network Protocols Implementation, Packet Tracer Simulation, Network Security Tools |
| CS3004 | Internet of Things Lab | Lab | 1.5 | Sensor Interfacing, IoT Device Programming, Data Acquisition, Cloud Platform Integration, IoT Application Development |
| CS3006 | Machine Learning Lab | Lab | 1.5 | Data Preprocessing, Supervised Learning Algorithms Implementation, Unsupervised Learning Algorithms, Model Evaluation Metrics, Predictive Modeling |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS3013 | Artificial Intelligence | Core | 3 | Introduction to AI, Knowledge Representation, Search Algorithms, Machine Learning Concepts, Expert Systems, Natural Language Processing |
| CS3015 | Cryptography & Network Security | Core | 3 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Network Security Protocols, Digital Signatures |
| CS3017 | Wireless Sensor Networks | Core Specialization | 3 | WSN Architecture, Sensor Network Protocols, Data Aggregation, Localization and Time Synchronization, Security in WSNs, WSN Applications |
| CS3021 | Professional Elective-II | Elective | 3 | Topics depend on the chosen elective from a list including Distributed Systems, Computer Graphics, Software Project Management, Big Data Analytics, Deep Learning, Game Theory. |
| HS3003 | Open Elective-II | Elective | 3 | Topics depend on the chosen elective from a list including Financial Management, Entrepreneurship Development, Marketing Management, Industrial Sociology. |
| CS3008 | Artificial Intelligence Lab | Lab | 1.5 | Search Algorithms Implementation, Constraint Satisfaction Problems, Logic Programming, Machine Learning Libraries, AI Agent Development |
| CS3010 | Cryptography & Network Security Lab | Lab | 1.5 | Encryption/Decryption Algorithms, Hashing Implementations, Digital Signature Generation, Network Security Tool Usage, Firewall Configuration |
| CS3012 | Mini Project-I | Project | 1.5 | Project Planning, Design and Implementation, Testing and Debugging, Report Writing, Presentation Skills |
| HS3005 | Professional Ethics | Non-Credit | 0 | Ethical Theories, Engineering Ethics, Cyber Ethics, Intellectual Property Rights, Corporate Social Responsibility |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4003 | Professional Elective-III | Elective | 3 | Topics depend on the chosen elective from a list including Blockchain Technology, Data Warehousing & Data Mining, Soft Computing, Cyber Security, Mobile Application Development. |
| CS4005 | Professional Elective-IV | Elective | 3 | Topics depend on the chosen elective from a list including Ethical Hacking & Digital Forensics, Augmented Reality & Virtual Reality, Internet & Web Technology, Parallel & Distributed Computing, Quantum Computing. |
| CS4007 | Open Elective-III | Elective | 3 | Topics depend on the chosen elective from a list including Introduction to Data Science, Optimization Techniques, Human Computer Interaction, Robotics Process Automation. |
| CS4009 | Industrial Internship/ Project | Internship/Project | 6 | Industry Problem Solving, Real-world Application Development, Project Management, Technical Documentation, Professional Skill Development |
| CS4011 | Project-I | Project | 3 | Problem Identification, Literature Survey, System Design, Preliminary Implementation, Report Submission |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS4013 | Professional Elective-V | Elective | 3 | Topics depend on the chosen elective from a list including Ad-hoc & Sensor Networks, Internet of Everything, Pattern Recognition, Compiler Design, Bio-Informatics. |
| CS4015 | Professional Elective-VI | Elective | 3 | Topics depend on the chosen elective from a list including Image & Video Analytics, Speech & Audio Processing, Digital & Cyber Security, Agile Software Development, GPU Computing. |
| CS4017 | Project-II | Project | 10 | Advanced System Implementation, Testing and Evaluation, Performance Analysis, Final Report and Presentation, Research and Development |
