About Computer Science and Engineering with Internet of Things

The use of smart utilities and appliances is in a constant demand across the world, thus exploring the field IOT has become an inseparable part of modern innovation. To produce students with an in-depth expertise to this program, the Faculty of Engineering, Department of Computer Science Engineering provides a 4 years undergraduate specialisation in Internet of Things which allows students to develop the basis of this field. The program is strategically designed to provide students with an understanding of the mechanisms of smart systems and technologies which make use of the virtual connectivity in their operations from home to office systems. As a way of providing students with the most enriching learning experience, the Faculty has a league of top notch faculties and experts who go on to provide students with an in-depth academic and industrial understanding. Internet of Things focuses in creative innovations and the various ways in which utilities can be digitalised through smart technology, therefore there is a great need for students to gain an in-depth exposure to a practical learning experience through laboratories and industrial exposure.

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National Applicants

International Applicants

Program Outcomes

Why Study Computer Science and Engineering with Internet of Things

The growing scope of smart technologies has opened endless streams in the field of IOT, and it has had a growing demand in the commercial sector through home, and work appliances and systems. This specialization provides an endless exposure to the various aspects of modern technology preparing them for highly lucrative career opportunities.

Wearable Technology Designs

An ability to create effective designs in wearable technology which blend in to become a part of individual lifestyles.

Embedded Programs Engineer

An ability to develop and manage embedded systems so as to provide control over external devices and external inputs

System Analyst

An ability to use knowledge and programming skills to design, conduct experiments and interpret experimental data to provide valid results.

Networking Engineers

An ability to apply design and development principles in the development of software & hardware interface of varying complexity.

System Designers

An ability to navigate the industrial dimensions of computer science with the relevant skillsets to pursue lucrative career prospects.

Curriculum

Semester 1	Semester 2
Environmental Science	Computational Thinking for Structured Design-2
Open Source Software	Design Thinking
Computational Thinking for Structured Design-1	Global Certifications - Fundamentals (Azure, AWS, GCP)
Mathematics-I	ICT workshop
Communication Skills	Mathematics-II
First Year Elective-1 (Compulsory Subjects :1)	Advanced Communication & Technical Writing
	First Year Elective-2 (Compulsory Subjects :1)

Semester 3	Semester 4
Design of Data Structures	Operating System
Design of Data Structures Laboratory	Operating System Laboratory
Database Management System	Software Engineering
Database Management System Laboratory	Software Engineering Laboratory
Object Oriented Programming with Java	Computer Network
Object Oriented Programming with Java Laboratory	Computer Network Laboratory
Computer Organization and Microprocessor	Programming in Python with Full Stack Development
Computer Organization and Microprocessor Laboratory	Programming in Python with Full Stack Development Laboratory
Discrete Mathematics	Probability, Statistics and Numerical Methods
Professional Communication Skills	Professional Grooming and Personality Development
	Competitive Coding

Semester 5	Semester 6
Design and Analysis of Algorithms	Project – 1
Design and Analysis of Algorithms Laboratory	Programming for IoT
Theory of Computation	Programming for IoT Laboratory
IoT Based Systems	Compiler Design
IoT Based Systems Laboratory	Compiler Design Laboratory
Enterprise Programming	ML for IoT
Enterprise Programming Laboratory	ML for IoT Laboratory
Professionalism & Corporate Ethics	PEC 01 (Compulsory Subjects :1)
Quant, and Reasoning	PEC 01-LAB (Compulsory Subjects :1)
Open Elective 01 (Compulsory Subjects :1)	PEC 02 (Compulsory Subjects :1)
	PEC 02-LAB (Compulsory Subjects :1)
	Employability Skills

Semester 7	Semester 8
Summer Internship	Internship
Advance Programming for IoT
Advance Programming for IoT Laboratory
Project – II
Smart Convergent Technologies
Smart Convergent Technologies Laboratory
PEC 03 (Compulsory Subjects :1)
PEC 03-LAB (Compulsory Subjects :1)
PEC 04 (Compulsory Subjects :1)
PEC 04-LAB (Compulsory Subjects :1)
Open Elective-2