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Program Objectives & Accreditation

ACADEMICS

Vision

We strive to empower our faculty and students to achieve unequalled brilliance as professionals in the dynamic area of the Internet of Things in order to promote a vibrant academic and research environment. This vision is driven by the belief that by nurturing talent and fostering innovation, we can make significant strides in advancing IoT and its applications.

Our objective is to prioritize

  • Excellence in Faculty
  • Empowering Students
  • Fostering Innovation and
  • Impacting Society

Mission

  • One of our primary missions is to impart the necessary skills in students for building cutting-edge and innovative IoT applications with a deep understanding of IoT architecture, protocols, and technologies.
  • Our college aims to teach students about the ethical implications of IoT, such as data privacy and security concerns, through value-added courses that promote ethical and social responsibility.
  • New and effective curricula along with innovative teaching methods are designed to meet the ever-changing needs of the industry.
  • We focus on promoting teamwork, societal responsibilities, and professionalism among our students and faculties. Through collaborative projects and community engagement, students gain the ability to work well in teams while also understanding the impact of their IoT applications on society.
  • With technology constantly evolving we create an environment for innovative thinking and self-learning.

Program Educational Objectives (PEOs)

  1. To provide student graduates with a solid foundation in mathematical, scientific and engineering fundamentals required to develop problem solving ability.
  2. To prepare student graduates for a successful career with effective communication skills, teamwork skills and work with values that meet the diversified needs of industry, academia and research.
  3. To train students in comprehending, analyzing, designing and creating novel products and technologies that provide solution frameworks to real world problems.
  4. To inculcate in student graduates the ability to gain multidisciplinary knowledge through projects and industrial training, providing a sustainable competitive edge in R&D and meeting industry needs.
  5. To develop self-learning ability in graduates by inculcating the philosophy to continuously learn, innovate and contribute to creation of new knowledge for the benefit of the society at large.

Program Outcomes (POs)

  1. Ability to apply knowledge of mathematics, science, and engineering and knowledge of Fundamental Principles.
  2. Ability to design and conduct experiments, as well as to analyze and interpret data, Experimentation & Interpret/ Engineering Analysis.
  3. Ability to design a system, component , or process to meet desired needs in Computer Science and Engineering within realistic constraints such as economic, environmental, social , political, ethical, health and safety, manufacturability, and sustainability, Design and Modeling.
  4. Ability to function on multidisciplinary teams.
  5. Ability to identify, formulate and solve engineering problems.
  6. Understanding of professional and ethical responsibilities.
  7. Ability to communicate effectively
  8. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context.
  9. A recognition of the need for and ability to engage in lifelong learning
  10. A knowledge of contemporary issues, and non contemporary issues, non technical issues global awareness
  11. An ability to use the techniques, and Modern Computer Science and Engineering tools necessary for designing and developing hardware and software solutions.
  12. Prepare the students to succeed in competitive examinations for higher education and employment.

Program Specific Outcomes (PSOs)

  1. Ability to use knowledge in various domains to identify research gaps and solve complex problems, using latest hardware and software tools, along with analytical skills to arrive cost effective and appropriate solutions.
  2. An ability to analyze problem, design algorithm, identify and define the computing requirements appropriate to its solution and implement the same.