Computer Science and Engineering (IOT)

Overview

In the academic year 2023-2024, the Department of Computer Science and Engineering (IoT) was started with a 60 students intake. In order to prepare students for careers in IT, computer technology, communications networks, and other sectors that have a wide variety of applications in the Internet of Things, the program seeks to give them with comprehensive professional knowledge and strong practical skills. Students who complete the program will be well-equipped to plan and develop sensor networks for the Internet of Things. The subjects covered include: IoT Introduction Data and Knowledge Management, and the Use of Devices in IoT Technology: A Market Perspective on IoT gaining an understanding of IoT architecture and its use in diverse technologies. The focus of these classes is on helping students acquire the skills they need to.

Advances in IoT have opened a whole new realm of opportunities in many areas of our connected digital society. We the Department of Computer Science and Engineering – IoT at ACSCE offer quality undergraduate program in an technical environment integrated with engineering practices, research and continuing professional education.

The Department was started in the year 2023 with a sanctioned intake of 60 students and aims to create a vibrant learning ecosystem, where every single student is professionally groomed to full-fill the needs of new era of IoT and its Technology.

The Department aims to:
 

• Offer strong fundamentals through learner centric approach.
• Encourage technical, interpersonal, interdisciplinary skills and logical thinkingfor holistic development of the students.
• Enable students to handle various aspects of IoT issues in real time scenarios.
• By creating best career opportunities by arranging in-house progressive training, projects and internships with cooperation of MoU rated organizations, it helpful in polishing their skills.
• Enhance employability of students by empowering them with technical competencies, domain skills, leadership skills, techno-managerial qualities, and communicative abilities to make them industry ready.

Vision

To be an exemplary centre for education and training in the frontier areas of computing in IoT to resolving the societal problems.

Mission

• Strengthening the learning environment that facilitates the quality of education in the domain of IoT.
• To foster professional ethics and values with concern for environment and society toprovide sustainable solutions.
• Towards on passion for research, entrepreneurship, higher studies or professional growth through life-long learning.

Duration:

4 Years

Eligibility:

• Marks – General: 45% Aggregate
• Marks- SC/ST/OBC: 40% Aggregate
• Eligibility Subject: Physics, Chemistry, Mathematics
• Eligibility – Exam: 10+2 (Physics, Chemistry, Mathematics) with CET/COMED-K/JEE any one Rank is compulsory
• Lateral Entry (Admission to 2 nd Year): 10+3 (Diploma in Engineering)

Accreditation, Approvals, and Recognition

• Approved by AICTE
• Affiliated to VTU

Career Opportunities

IOT Career Opportunities:
 

• Data Analytics: Making sense of data collected by IoT devices.
• Network and Networking Structure: Managing the communication infrastructure.
• Cyber Security Specialist: Secure IoT networks and Device.
• Hardware and Devices: Developing IoT devices.
• IoT Consultant: Provide expertise and guidance on IoT projects..
• Sensors and Actuator Professional: Working with sensors and actuators.
• Embedded System Engineer: Creating PCBs and firmware.
• Artificial Intelligence: Applying AI techniques to IoT.

Program Outcomes (PO’s)

PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.

PO2: Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems.

PO3: Design/Development of Solutions: Design solutions for complex problems and system components that meet specified needs with public health, safety, cultural, societal, and environmental considerations.

PO4: Conduct Investigations of Complex Problems: Use research-based knowledge and methods to conduct investigations, interpret data, and provide valid conclusions.

PO5: Engineering Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering/IT tools.

PO6: The Engineer and The World (replaces Environmental Sustainability): Assess societal, health, safety, legal, and cultural issues through engineering knowledge, focusing on sustainability.

PO7: Ethics (expanded): Apply ethical principles, commit to professional ethics, and embrace diversity and inclusive behavior.

PO8: Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse teams, including multidisciplinary settings.

PO9: Communication: Communicate effectively, including high-level documentation and presentations, with engineering and society.

PO10: Project Management and Finance: Demonstrate engineering and management principles to manage projects in multidisciplinary environments.

PO11: Life-Long Learning (expanded): Recognize the need for, and prepare for, independent and life-long learning, including adaptability and technological awareness.

Infrastructure

Department has very good infrastructure comprising of separate space for different laboratories. Some of the Labs are Computer Programming Lab, Data structure Lab, Analysis and Design of Algorithm Lab.Each system is configured with intel core i5 built in with windows11 .

Laboratory Facilities

The students should be able to:
 

• Identify a issue and derive problem related to society, environment, economics, energy and technology
• Formulate and Analyze the problem and determine the scope of the solution chosen
• Determine, dissect, and estimate the parameters required in the solution. Evaluate the solution by considering the standard data / Objective function and by using appropriate performance metrics.
• Compile the report and take part in present / publishing the finding in a reputed conference / publications

Design and Analysis of Algorithms Laboratory

This course (BCSL305) will enable students to:
 

• Design and implement various algorithms in JAVA
• Employ various design strategies for problem solving.
• Measure and compare the performance of different algorithms.