About AI Department

About Dept.

The department of Artificial Intelligence was established in the academic year 2020-2021 with annual intake of 60 in B.Tech Artificial Intelligence and Data Science. Subsequently the intake was increased to 120 from the Academic Year 2021-2022. In the same Academic Year, one new UG Programme Artificial Intelligence and Machine Learning has been sanctioned with an intake of 60. These programmes are duly approved by the AICTE and the Government of Andhra Pradesh and are affiliated to JNTUK, Kakinada. The Department has state of the art facilities, infrastructure and high end computing equipment along with uninterrupted high-speed internet connection to fulfill the requirements of academics.

 

Courses Offered

    • B.Tech in Artificial Intelligence and Data Science (Intake - 120)
    • B.Tech in Artificial Intelligence and Machine Learning (Intake - 60)
 
Vision&Mission
Vision

"To become a center of excellence in the field of Artificial Intelligence and Data Science to meet the needs of industry and society by empowering the students with a high degree of technical and practical skills."

Mission
  • To educate and empower the students with problem-solving, analytical skills using the latest tools in the area of Artificial Intelligence & Data Science for a successful career.
  • To encourage self-learning skills among students to carry out research, innovation, and pursue higher studies.
  • To facilitate training programs that bridges the gap between academia and industry.
  • To inculcate cultural, societal, professional, and ethical responsibilities among the students.
 
About AI & DS
 

Artificial Intelligence and Data Science Programme aims at preparing students to have necessary skills in analyzing data intelligently for various real-world applications in the fast-changing world of advanced technologies. During this decade, data science has become one of the most high-growth, dynamic, and lucrative careers in Engineering and technology. This AI & DS course prepares students to acquire competency in artificial intelligence, data mining and data modelling. In addition, it gives intensive inputs in areas of machine learning and big data analytics. This course is advantageous because students will gain cross-disciplinary skills in the areas like statistics, computer science, machine learning, and other related areas and there are plentiful career opportunities in healthcare, business, ecommerce, social networking companies, biotechnology, genetics, and other important areas.

 

 

The four-year course that lead to a degree in Bachelor of Technology (B.Tech.), adopt a University-mandated semester system of 8 semesters. Each semester is of 16 weeks duration.

 
About AI & ML

Artificial Intelligence is a wide-ranging branch of computer science deals with creating intelligent machines capable of performing task that typically require human intelligence. Machine Learning is a sub area of AI, makes a machine to learn on its own without being explicitly programmed. Its provides system the ability to automatically learn and advance from experience.

 

Artificial Intelligence and Machine Learning (AI & ML) is an undergraduate programme deeply rooted in Computer Science along with specialized skills like machine learning, deep learning, Natural language processing, Computer Vision etc.. as per the industry 4.0 standards.

 

This specialization is intended to empower students to create intelligent machines, applications for various business problems in a variety of domains and business applications with help of cutting edge combination of machine learning, analytics and visualisation technquies.

 

The four-year course that lead to a degree in Bachelor of Technology (B.Tech.), adopt a University-mandated semester system of 8 semesters. Each semester is of 16 weeks duration.

 
B.Tech. - PEOs, POs & PSOs

 Program Educational Objectives :: B. Tech. - AI & DS

PEO 1

Graduates shall apply the analytical, decision making and prediction skills in AI & DS to formulate and solve complex intelligent computing and multidisciplinary problems.

PEO 2

Graduates will be able to take up higher studies, research & development by acquiring in-depth knowledge in Artificial Intelligence & Data Science.

PEO 3

Graduates will be able to exhibit their employability skills and practice the ethics of their profession with a sense of social responsibility.

Program Outcomes :: B. Tech. - AI&DS and AI&ML

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.

Program Specific Outcomes :: B. Tech. - AI & DS

PSO 1

Apply a set of data science principles, tools, and techniques to model various real-world business problems, analyze them, and suggest a suitable solution by communicating relevant findings and effectively presenting results using appropriate data visualization techniques.

PSO 2

Apply the skills of Artificial Intelligence and Machine Learning in the areas of Health Care, Education, Agriculture, e-commerce, financial sector, Smart Systems, and Multi-disciplinary areas of AI.

 
 

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