The Department of Computer Science and Engineering-Artificial Intelligence was established in the
year 2020 with an intake of 60 students.Artificial Intelligence (AI) is emerging as one of the
most sought-after skills leading to lucrative careers in cutting edge AI technology. This course
aims at providing not only the core technologies such as artificial intelligence, data mining
and data modeling but also offers intensive inputs in areas of machine learning, deep learning
and big data analytics taught by industry experts.
Building human-level thought process through the creation of artificial intelligence (AI) is the
state-of-art in Computer Science. The students will graduate with important skills in Design
Thinking, strategic planning and corporate connect in addition to the engineering skills. The
course focuses on creating innovative methodologies to solve challenging real world problems
using AI.
Vision & Mission
Vision
To build an ecosystem to contribute to society by producing leaders in Artificial
Intelligence through education and research.
Mission
Train the students in the state-of-the-art technologies of AI.
Sensitize students to solve societal issues through AI techniques by inculcating values and
ethics.
Enhance employability and entrepreneurial skills in the field of AI through experiential and
self-directed learning.
Foster research aptitude among the students through project-based learning
PEO's,PSO's
PROGRAMME EDUCATIONAL OBJECTIVES
Graduate shall have knowledge in applied and basic engineering sciences to understand engineering
principles which is necessary to formulate and solve problems related to Artificial
Intelligence.
Graduate shall have knowledge in experimentation, analysis and synthesis of Artificial
Intelligence courses to Design/Innovate and create novel products/Solutions to real life
problems.
Graduate shall have Managerial and entrepreneur skills, ethical and professional attitude in
multidisciplinary approach to meet the needs of industry and society.
Graduate shall go for further studies, research, lifelong learning to adopt oneself in the
phase of changing technologies to ensure the students to success in engineering position
globally.
PROGRAMME OUTCOMES
Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and
an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern
engineering and AI tools including prediction and modeling to complex engineering activities
with an understanding of the limitations.
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.
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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.
Individual and Team work: Function effectively as an individual, and as a member or leader
in diverse teams, and in multidisciplinary settings.
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.
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.
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 SPICIFIC OUT COMES
Domain Knowledge:The Artificial Intelligence graduates will able to identify and analyze end
user needs and take them into account in the selection, creation, evaluation and
administration of AI solutions.
Process Management:An ability to organize an AI infrastructure by managing, monitoring the
resources and safeguard the data.
Welcome to
Prakasam
Engineering College