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Artificial Intelligence and Data Science

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Introduction

The Department of Artificial Intelligence and Data Science offers a 4 Year B.Tech Artificial Intelligence and Data Science programme. The eon of cognitive thinking instigates in the Department of Artificial Intelligence and Data Science. The programme starts from the academic year 2020 – 21 with a hallucination to build the intellectual capital of the society through creating new knowledge and innovations. Artificial Intelligence and Data Science Programme prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications .Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from structured, unstructured, or semi-structured data. The curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic analytical methods and tools, and data management, with the objective of creating innovative strategies to solve challenging real-world problems. AI and DS are inevitable and provide powerful solutions to smart environments including Internet of Things and Industry 4.0.

Vision

To be a Centre of Artificial Intelligence and Data Science by imparting quality education, promoting research and innovation with global relevance.

Mission

To offer holistic education with niche technologies for the enrichment of skills through updated curriculum and inspired learning.
To empower students for developing intelligent systems and innovative products for societal problems.

Programme’s PEO’s,

PEO-1: Our Graduates are competent in building intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies to identify new opportunities.
PEO-2: Our Graduates adapt the new technologies and develop the solutions to real world problems with ethical practices to enhance their own stature to contribute society.
PEO-3: Our Graduates thrive to continuing education for fulfilling their lifelong goals and satisfaction and successful professionals in industry, government, academia, research and consultancy.

Programme’s PSO’s,

1: Apply the fundamental knowledge to develop intelligent systems using computational principles, methods and systems for extracting knowledge from data to identify, formulate and solve real time problems and societal issues for the sustainable development.
2: Enrich their abilities to qualify for Employment, Higher studies and Research in Artificial Intelligence and Data science with ethical values.

Programme’s PO’s,

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 IT 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: 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.
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

Curriculum UG-R2017

SEMESTER I

HS8151Communicative English

MA8151Engineering Mathematics - I

PH8151Engineering Physics

CY8151Engineering Chemistry

GE8151Problem Solving and Python Programming

GE8152Engineering Graphics

GE8161Problem Solving and Python Programming Laboratory Laboratory

BS8161Physics and Chemistry Laboratory

SEMESTER II

SEMESTER III

SEMESTER IV

SEMESTER V

SEMESTER VI

SEMESTER VII

SEMESTER VIII

Curriculum UG-R2021

SEMESTER I

IP3151Induction Programme

HS3151Professional English - I

MA3151Matrices and Calculus

PH3151Engineering Physics

CY3151Engineering Chemistry

GE3151Problem Solving and Python Programming

GE3152Scientific Thoughts in Tamil

GE3171Problem Solving and Python Programming Laboratory

BS3171Physics and Chemistry Laboratory

GE3172English Laboratory

SEMESTER II

SEMESTER III

SEMESTER IV

SEMESTER V

SEMESTER VI

SEMESTER VII

SEMESTER VIII

MANAGEMENT ELECTIVE

MANDATORY COURSES I

MANDATORY COURSES II

STUDENTS DETAILS(2020-2024)

John Doe

Professor

B. Sc. B.Ed

Laboratory Facilities

Data Science Lab

Case Tools Lab

Operating System lab

Database Management Lab

Data Analytics Lab

Artificial Intelligence Lab

Deep Learning Lab

Computer Networks Lab

Machine Learning Lab

LIBRARY DETAILS

Department Library

S.No.	Category	Cumulative acquisition as on date
1	No of book titles	85
2	No of book volumes	108

VALUE ADDED COURSES

ACADEMIC YEAR 2019 – 2020

R Tool,Tableau,Tensor flow and Jupyter

In order to get exposure in data analytics, Machine Learning and AI. The world's most popular data science platform.

Python Programming

To help mastering the students in recent technologies Python programming is inculcated to the students for improving coding skills.

Hadoop

To setup Hadoop clusters and handling huge volume and variety of data through Hadoop ecosystem.

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