Helpline Number
      9914666777

Helpline Number
      9914666777

Gulzar Group of Institutions

Helpline Number
      9914666777

BTech Computer Science & Engineering (IOT, Cyber Security & Blockchain)

Admissions are open for 2024

B.Tech Computer Science & Engineering (IOT, Cyber Security & Blockchain)

GGI’s B.Tech Program in Computer Science (IoT & Cybersecurity including Blockchain Technology) offers a comprehensive curriculum that integrates advanced technologies and industry-oriented applications. The program provides a strong foundation in IoT, cybersecurity, and blockchain, covering areas such as embedded systems, real-time operating systems, and network security. Graduates are well-prepared to tackle diverse computing challenges, from designing IoT devices to developing secure blockchain solutions.

Our 8-semester curriculum combines theory with practical application, covering core subjects like IoT technologies, cybersecurity principles, blockchain development, and embedded systems. This well-rounded approach ensures that graduates are equipped to meet the demands of the ever-evolving field of computer science and engineering..

Eligibility

Overview

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Course Structure

Course Structure The B.Tech Computer Science & Engineering (IOT, Cyber Security & Blockchain) program atGulzar Group of Institutions offers a comprehensive curriculum spanning eight semesters

Multivariable Calculus and Linear Algebra are foundational courses covering vector calculus, partial derivatives, matrices, determinants, eigenvalues, and eigenvectors, essential for engineering, physics, and computational fields.

Programming with C introduces fundamental concepts of programming using the C language, covering topics such as data types, control structures, functions, arrays, pointers, and memory management.

IoT and Applications explores the Internet of Things (IoT) ecosystem, focusing on its technologies, applications, protocols, and the integration of IoT in various domains like healthcare, smart cities, agriculture, and industry.

Design Thinking explores a problem-solving approach that emphasizes empathy, ideation, prototyping, and testing to create innovative solutions. It fosters creativity and user-centred design across various disciplines.

Probability and Statistics covers foundational concepts and methods for analysing data and making probabilistic predictions, including probability theory, statistical inference, hypothesis testing, and data analysis techniques.

Physics for Computer Science introduces fundamental principles of physics relevant to computing, covering topics such as mechanics, electromagnetism, optics, and their applications in computational modelling and technology.

Introduction to Data Science provides foundational knowledge in data analysis, statistics, and machine learning, essential for extracting insights and making informed decisions from large datasets.

Computer Aided Engineering Drawing introduces principles and techniques for creating detailed engineering drawings using CAD software, emphasising precision and technical communication in design and manufacturing.

Data Science Lab focuses on practical applications of data analysis, machine learning, and statistical modelling techniques, preparing students to solve real-world problems using large datasets.

 

Discrete Mathematics focuses on mathematical structures and concepts that are fundamentally discrete rather than continuous. It includes topics like set theory, logic, combinatorics, graph theory, and algorithms, foundational to computer science and other disciplines.

Professional Ethics explores principles and guidelines that shape ethical decision-making and conduct in professional settings, emphasizing integrity, responsibility, and moral reasoning.

An Operating System (OS) manages hardware and software resources, providing essential services for computer programs. It facilitates communication between applications and hardware, manages memory and processes, and ensures system security and stability.

Programming in Python covers the fundamentals of Python, including syntax, data structures, functions, and libraries. It emphasizes practical application in various fields such as web development, data analysis, machine learning, and automation.

Data Structures and Algorithms covers fundamental concepts and techniques for organising and manipulating data efficiently, crucial for software development and problem-solving in computer science.

Graph Theory explores fundamental concepts and applications of graphs, including vertices, edges, paths, and cycles, essential for modelling relationships in computer science, network analysis, and optimization problems.

Human Values explores the ethical principles, cultural perspectives, and societal impacts that guide human behaviour and decision-making, fostering personal integrity and social responsibility.

Computer Organization and Architecture delves into the fundamental principles and design aspects of computer systems, covering topics such as CPU architecture, memory systems, input/output, and system organization.

Studies the design, implementation, and management of computer networks. Topics include network protocols, architectures, data transmission, and security, providing students with the skills to manage and optimize network systems.

Database Management System covers principles and techniques for designing, implementing, and managing databases, essential for storing, organizing, and retrieving data efficiently in various applications.

Communication Technologies for IoT explores the protocols, architectures, and technologies enabling seamless connectivity and data exchange in Internet of Things (IoT) ecosystems, emphasizing efficiency and reliability.

AI and ML Applications explores the practical implementation of artificial intelligence and machine learning techniques across various domains, emphasizing real-world applications and problem-solving.

Data Analytics focuses on the methods and tools used to analyze large datasets, extracting valuable insights to inform decision-making and drive business strategies.

Professional Elective 2 provides specialized study in areas like cybersecurity, digital marketing, or project management, enhancing skills tailored to career goals and industry demands.

Agile and Software Development explores iterative development methodologies, emphasizing flexibility, collaboration, and rapid delivery of high-quality software products to meet evolving customer needs.

 

Cloud Computing covers the principles and technologies of cloud services, including infrastructure, platforms, and software, enabling scalable and flexible computing solutions for businesses and developers.

Cryptography and Network Security focuses on techniques and protocols for securing data and communications, including encryption, authentication, and defense against cyber threats.

Blockchain Technology covers the principles and applications of blockchain, including decentralized ledgers, smart contracts, and secure transactions, revolutionizing industries like finance, supply chain, and beyond.

Cloud Computing Lab provides hands-on experience with cloud platforms and services, focusing on deploying, managing, and optimizing cloud-based solutions for real-world applications.

Cryptography and Network Security Lab offers practical experience with encryption techniques, network protocols, and security tools to protect data and communications against cyber threats.

Skill Development course focuses on enhancing practical skills and competencies in areas such as communication, teamwork, problem-solving, and technical expertise to prepare students for professional success.

Internship in Computer Science Engineering (IoT, Cybersecurity, and Blockchain) provides hands-on experience in these cutting-edge fields, allowing students to apply academic knowledge, develop technical skills, and gain industry insights.

Data Mining and Data Warehousing involve extracting useful information from large datasets (Data Mining) and storing it in a structured way for analysis and reporting (Data Warehousing). These techniques are crucial for businesses to make informed decisions based on data-driven insights.

Distributed Databases involve managing and storing data across multiple networked locations. This approach ensures data availability, reliability, and performance, making it easier to access and manage large datasets distributed over different servers or geographic locations.

Computer Vision focuses on enabling computers to interpret and understand visual information from the world, utilising techniques in image processing, pattern recognition, and machine learning to analyse and process images and videos.

This involves applying theoretical knowledge to practical challenges, requiring research, design, implementation, and presentation of innovative solutions in these cutting-edge fields.

Our Top Recruiters

Graduates in B.Tech Computer Science & Engineering (IoT, Cybersecurity & Blockchain) are highly recruited

across diverse sectors for roles in software development, data analysis, and cybersecurity.

 

Our Expert Faculties

Our faculty members are seasoned experts in diverse fields of fashion design,

offering valuable industry insights and expertise.

Teaching Methodology

We believe in interactive learning that fosters critical thinking and innovation. Our dedicated faculty employs a range of engaging methods:

Interactive lectures:

Learn from passionate professors who bring theory to life through real-world examples and industry insights.

Hands-on Labs:

Gain practical experience in our state-of-the-art labs equipped with industry-standard tools and machinery.

Project based Learning:

Collaborate with peers to tackle real-world engineering challenges, developing problem-solving and teamwork skills.

Industry internships:

Gain invaluable exposure to the professional world through internships with our esteemed industry partners.

Teaching Methodology

We believe in interactive learning that fosters critical thinking and innovation. Our dedicated faculty employs a range of engaging methods:

Interactive lectures:

Learn from passionate professors who bring theory to life through real-world examples and industry insights.

Hands-on Labs:

Gain practical experience in our state-of-the-art labs equipped with industry-standard tools and machinery.

Project based Learning:

Collaborate with peers to tackle real-world engineering challenges, developing problem-solving and teamwork skills.

Industry internships :

Gain invaluable exposure to the professional world through internships with our esteemed industry partners.

Apply now to join the next generation of computer science professionals, skilled in advanced computing and innovative digital solutions!

Why Join This Course?

There are several compelling reasons to pursue a Bachelor of Technology in Computer Science & Engineering (IoT, Cybersecurity, & Blockchain)

Growing Demand:

Rapid IoT, cybersecurity, and blockchain growth creates high demand for skilled professionals, positioning students for success.

Industry Relevance:

IoT, cybersecurity, and blockchain revolutionise healthcare, finance, manufacturing, transportation, and smart cities, enhancing student employability.

Interdisciplinary Learning:

IoT, cybersecurity, and blockchain integrate hardware, software, networking, and data analytics, fostering essential interdisciplinary skills.

Innovation and Creativity:

This course offers endless innovation opportunities, fostering students' creativity and enhancing their problem-solving skills.

Contribution to Society:

Specialising in these fields empowers students to address critical societal challenges through technology-driven solutions for positive impact.

Industry Connect

We prioritise industry connections, offering students valuable opportunities for

internships, projects, and collaborations with leading companies.

Career Opportunities

Career opportunities after completing a Bachelor of Technology in Computer Science and

Engineering with a specialization in Internet of Things (IoT) include:

Designing and implementing IoT solutions across industries such as healthcare, manufacturing, and smart cities.

Integrating hardware and software to develop embedded systems for IoT devices and sensors.

Analysing large-scale IoT data to extract insights and develop predictive models.

Ensuring the security of IoT networks and devices through robust security measures.

Designing and implementing IoT system architectures, including networking and data management solutions.

Building and managing cloud-based IoT platforms for data storage, processing, and analytics.

Industry Testimonials

Our industry partners attest to the calibre of our graduates, with testimonials highlighting their

competence, dedication, and readiness for the professional world.

Dinesh Verma

Batch: 2022
Tata Electronics Pvt. Limited, Tamil Nadu

MD Ansari

Batch: 2023
Swaraj Automotive Limited

Arashdeep Singh

Batch: 2022
Schwing Stetter, Hero Steels Pvt.Limited

Ganesh Khanal

Batch: 2023
Swaraj Automotive Limited

What our Computer Science & Engineering
(IOT, Cyber Security & Blockchain)
students say about us

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FAQ’s

Discover commonly asked questions regarding our Fashion Design program

to gain insights into your academic journey.                

GGI offers specialised Bachelor of Technology programs in IoT, Cybersecurity, and Blockchain, equipping students with comprehensive knowledge and practical skills crucial for these evolving fields.