AI & DS

Department of Artificial Intelligence and Data Science

About the Department

Artificial Intelligence and Data Science (AI&DS) is an exponentially emerging area in computer Science which consists of a set of tools and techniques used to extract useful information from data. AI&DS is a fast growing discipline and is full of rigorous practical analysis. The demand for undergraduates in AI and DS has experienced an increasing demand in the Global market over the last few years. Building human-level thought processes through the creation of Artificial Intelligence (AI) is the state-of-the-art in Computer Science. Intelligent machines are influenced by emerging technologies, smart devices, sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities. Data Science (DS) is an interdisciplinary field with the ability to extract knowledge/insights from data - be it structured, unstructured, or semi-structured data. AI with DS, is in demand with the extensive usage of smart phones, innovations in social media, online banking, etc.., and more efficient and powerful solutions to smart environments including Internet of Things and Industry 4.0. AI and DS delivers data driven solution using computational principles, methods and systems for extracting knowledge from data and modern computational systems that demonstrate capabilities of perception, reasoning, learning and action that are typical of human intelligence.

B.Tech. in Artificial Intelligence and Data Science programme has been started in PSGiTech in 2022-23 with a vision to build the intellectual capital of the society through research-based education, creating new knowledge and innovations. AI and DS course aims to indulge knowledge in not only the core technologies such as artificial intelligence, data warehousing, data mining and data modelling and also make ready students expertise in thrust areas such as machine learning and big data analytics. Students studying this programme, acquire the ability to design intelligent solutions to problems in a variety of domains and business applications and fields such as natural language processing, text mining, robotics, reasoning and problem-solving, Intelligent Systems, Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Text Technologies for Data Science, Data Analytics and Mining, Big Data Management, Data Visualization, Bayesian Data Analysis, Probabilistic Modeling and Reasoning, Cloud Technologies, Internet of Things, Statistical Learning and visualization skills.

This program has a comprehensive coverage of applied mathematics used in data science and artificial intelligence while preparing the students to analyze, design and experiment solutions to problems. 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.

This specialised course opens many career avenues for aspirants as Data Scientist, Knowledge Engineer, Data Engineer, Business Analyst, Data Analyst, Business Intelligence Engineer and Research Scientist in the domains of healthcare, finance, astronomy, agriculture, data security, entertainment, E-commerce, social networking, climatology, biotechnology, genetics, and many more.

The faculty members are highly motivated and devoted in delivering the highest quality professional education to students, and strive to excel in their research areas.



VISION

To impart quality education and produce socially responsible, creative and ethical engineers in the domain of artificial intelligence and data science with a focus to prepare them for the industry, engage them in potential research areas, to pursue and have continued professional growth to serve the society.



MISSION

  • To provide high quality learning infrastructure comparable to global standards
  • To provide skill based education to master the students in problem solving and analytical skills to enhance their niche expertise in the field Artificial Intelligence and Data Science.
  • To enable students to experience content based learning with premier quality data science education, research and industrial collaboration.
  • To create an environment that imparts communication skills, leadership and entrepreneurship skills.
  • To produce ethical engineers / researchers by instilling the values of humility, humaneness, honesty and courage to serve the society.


Programme Education Objectives (PEOs)

The Program Educational Objectives specify the professional accomplishments that the students will attain within 3 to 5 years of their graduation. The following are the PEOs for the Programme B.Tech in Artificial Intelligence and Data Science (AI&DS).

  • PEO1: Adapt emerging technologies of Artificial Intelligence & Data Science and develop state of the art solutions in the fields of Manufacturing, Agriculture, Health-care, Education, and Cyber Security.
  • PEO2: Exhibit professional leadership qualities to excel in interdisciplinary domains.
  • PEO3: Possess human values, professional ethics, application-oriented skills, and engage in lifelong learning.


Programme Specific Objectives (PSOs)

After successful completion of the program, students will be able to:

  • PSO1: Exhibit proficiency of Artificial Intelligence and Data Science in providing sustainable solutions by adapting to societal, environmental and ethical concerns to real world problems.
  • PSO2: Develop professional skills in the thrust areas like ANN and Deep learning, Robotics, Internet of Things and Big Data Analytics.
  • PSO3: Pursue higher studies in Artificial Intelligence and Data Science in reputed Universities and to work in research establishments.

Faculty

Dr. P. Vijayakumar
HoD (i/c)
Specialization: VLSI (Low Power), Automation

pvk@psgitech.ac.in
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Mr. C. Santhosh
Assistant Professor (Selection Grade)
Specialization: Data Science, Big Data Analysis

santhosh@psgitech.ac.in
Google Site
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Mr. N. Adhithyaa
Assistant Professor (Senior Grade)
Specialization: Deep Learning, Image & Video Analytics

adhithyaa@psgitech.ac.in
Google Site
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Ms. G. Suganya
Assistant Professor (Senior Grade)
Specialization: DevOps, Soft Computing

suganya@psgitech.ac.in
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Ms. K. Sathya
Assistant Professor
Specialization: Machine Learning, Deep Learning

sathya@psgitech.ac.in
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Ms. K. Santhiya
Assistant Professor
Specialization: Data Structures, Machine Learning, Deep Learning

santhiya@psgitech.ac.in
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Visiting Professors

Dr. T. Hamsapriya
M.E., Ph.D

Staff


Ms. K. Shalini
Junior Assistant