Menu

✖

VISION, MISSION & QUALITY POLICY

Our Commitment Towards Excellence in Education and Society

INSTITUTION VISION

To emerge as a “Centre for excellence” offering Technical Education and Research Opportunities of very high standards to students, develop the total personality of the individual, and instill high levels of discipline and strive to set global standards, making our students technologically superior and ethically strong, who in turn shall contribute to the advancement of society.

INSTITUTION MISSION

To transform the rural learners into exceptional technocrats to meet the challenges in an ever-changing global scenario, by imparting high quality outcome based technical education.

INSTITUTION QUALITY POLICY

To provide world class infrastructure, equipment & well qualified faculty for all round growth of the students including their competence and overall personality meeting ever growing expectations of society.


Excellence in Education

Research & Innovation

Discipline & Values

Society Advancement
Department Overview

WELCOME TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
(ARTIFICIAL INTELLIGENCE AND DATA SCIENCE)

CSE Department came into inception from 2007 onwards with an intake of 60 seats in B.Tech and enhanced to 120 seats in the year 2009. In view of the accentuated interest towards CSE and its immensity of growth, the Department of Computer Science and Engineering has developed well-appointed laboratories where the main focus is on the development of logical reasoning that is stressed upon in all practical applications. The department boasts of promoting a unique mode of teaching-learning setting, one that makes effective utilization of advanced teaching aids. The Department imparts world-class training and provides state-of-the-art computing facilities to the students. CSE Department is offering M.Tech (CSE) program from 2012 onwards with an intake of 18 seats, which was enhanced to 24 seats in the year 2013.

Vision

To achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.

Mission

M1

To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.

M2

To impart quality and value-based education and contribute towards the innovation of computing, expert systems and Data Science to raise the satisfaction level of all stakeholders.

M3

Our effort is to apply new advancements in high-performance computing hardware and software.

Artificial Intelligence

Developing intelligent systems and smart applications.

Data Science

Extracting valuable insights through data analysis.

Advanced Computing

Exposure to modern tools and latest technologies.

Research & Innovation

Encouraging projects, research and innovative thinking.

PROGRAMME EDUCATIONAL OBJECTIVES (PEO’S)

PEO 1

The graduates are ready with industrial standards to solve social and environment-related problems for making sustainable ecosystems.

PEO 2

The graduates have professional skills and equipped with advanced technologies to become data scientists and data analysts.

PEO 3

Graduates will have the ability to explore research and produce outstanding contribution in various areas of Artificial Intelligence and Data science.

PROGRAM OUTCOMES (PO’S)

PO 1

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO 5

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO 6

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO 7

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO 8

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO 12

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAMME SPECIFIC OUTCOMES (PSO’S)

PSO 1

Implement Artificial Intelligence and Data Science techniques such as search algorithms, neural networks, machine learning and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship.

PSO 2

Apply the skills in the areas of health care, education, agriculture, intelligent transport, environment, smart systems and in the multi-disciplinary area of Artificial Intelligence and Data Science.

College Home