About the Department

Computer Science and Engineering-AI and Machine Learning (B.E.CSE-AI & ML) is a popular engineering course that focuses on computation, algorithm analysis, programming languages, program design, software engineering, computer hardware, computer networks, and problem-solving abilities.

This interdisciplinary field prepares students for careers in web developers, project team associates, database administrators, system designers, hardware engineers, system analysts, architects, networking engineers, and software developers.

The curriculum includes courses in computer graphics, artificial intelligence, human computer interaction, robotics, database management, web technology, network security, grid and cloud computing, and cyber security.

The AI & department is crucial in forming the future generation of professionals and researchers in these quickly developing domains because of its emphasis on developing critical thinking and problem-solving skills.

VisionVision

To become a Centre of Excellence in Artificial Intelligence and Machine Learning for education through the state-of-the-art concepts, technologies, training, research and industry led curriculum with moral values and social responsibility to build a vibrant nation.

VisionMission

  • Arrow

    To imbibe students with sound knowledge of both theoretical and practical in the field of Artificial Intelligence and Machine Learning.

  • Arrow

    To produce graduates suitable for industries and organizations at global level including research and development.

  • Arrow

    To enable students to solve real time problems through continuous research, innovation and industry led curriculum.

  • Arrow

    To provide best teaching and learning support to meet the needs of diverse, ambitious and intellectually curious student.

HOD Message

HOD
Dr.M.Lavanya., M.E.,Ph.D.

Head of Department | AI & ML

I would like to extend my warmest welcome to the Department of Artificial Intelligence and Machine Learning. The Department of Computer Science Engineering (Artificial Intelligence & Machine Learning) was established in the year 2022 under the B.E. Programme.

The Department is strongly committed to imparting innovative and quality technical education with high standards at the undergraduate level. The field of Artificial Intelligence has the greatest impact on every futuristic technology which is already proved through transformation of science fictions into reality. The goal of the department is not only to provide strong knowledge and quality technical education but also to make the students industry-ready.

The excellent infrastructure, dynamic teaching staff along with training and placement cell ensure a bright future for the students. The department provides experiential learning opportunities such as Workshop, Hands-on training, Value added course, Project-based courses, Industrial Visits, Research projects, state of the art lab facilities and Internships that enables the students to explore, apply various directions of learning.

Our faculty members challenge their students, share insights gained through professional experience and communicate the knowledge they have spent a lifetime to nurture the students technical skills as well as professional grooming. We are confident that our students will emerge as assets not only to the institution and to the organization they join, but to the society at large

Faculty List
S.NoName of the Faculty MemberQualificationDesignation
1Dr. M. LavanyaM.E., Ph.DAssistant Professor and Head
2Dr. M. RajasekharM.Tech., Ph.DAssociate Professor
3 Mr. ThumilvananM.TechAssociate Professor
4Mrs. PadmavathiM.TechAssociate Professor

Programme Outcomes (POs)

PO1
Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2
Problem Analysis
Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3
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.
PO4
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.
PO5
Modern Tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6
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.
PO7
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.
PO8
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
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.
PO11
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.
PO12
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 Objectives (PSOs)

PSO1
Apply AI concepts to solve current issues, and combine technical expertise with cutting-edge resources and tools to meet changing AI requirements.
PSO2
Build a solid foundation for data science and artificial intelligence research, entrepreneurship, and innovation.

Program Educational Objectives (PEOs)

PEO1
Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
PEO2
Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO3
Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO4
Design and model AI based solutions to critical problem domains in the real world.
PEO5
Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Academic Calendar

Second year Schedule
maximize

Academic Time Table

Academic Time Table 1
maximize

Award of Degree & Division

Second Year/III- Sem

S.NoName of the StudentCGPARankAward
1Sneka V8.96I Memento & Cash Reward
2Roshini R8.87II Memento
3SeethaRaman S8.7IIIMemento

Infrastructure Facilities

  • Arrow
    Fully air conditioned labs
  • Arrow
    High specification systems
  • Arrow
    High speed WIFI
  • Arrow
    Smart Classrooms
  • Arrow
    Well ventilated environment
  • Arrow
    Purified Drinking water

Department Library

smart classroom
smart classroom

The department library is the greatest arsenal having manuals, 1500 books, project reports, mini project reports, research papers, and lectures materials. The digital resource including various professional societies enriches the students towards e-learning via various MOOC courses (NPTEL, Coursera) and inspires them to explore and achieve.

Workshop & Conferences

Right
First Slide

Emerging Web Technologies: What'S On The Horizon


Right

Awards/Achievements

Students

  • Arrow
    Ms Sneka V From II year AI&ML, has Won 1st prize in Techi Talk conducted by CIPOFEST'24.
  • Arrow
    Ms Priya S From II year AI&ML, has Won 2nd prize in Techi Talk conducted by CIPOFEST'24.
  • Arrow
    Mr Selva Neyas U Completed NPTEL Course titled “Python For Data Science” with ELITE Certification.
  • Arrow
    Mr Selva Neyas U Completed NPTEL Course titled “The Joy of Computing Using Python” with ELITE Certification.
  • Arrow
    Ms Anishaa V From II year AI&ML, has Won 1st prize in Reverse Coding conducted by SAMHITA'24.
  • Arrow
    Ms Deva Dharshini From II year AI&ML, has Won 1st prize in Ninja Coding conducted by SAMHITA'24.
  • Arrow
    Mr Seetha Raman S From II year AI&ML, has Won 1st prize in LCU conducted by SAMHITA'24.

MOUs

  • Arrow
    Signed MOU with “Edureka Learning center” for providing seminars and conducting workshops.
  • Arrow
    Signed MOU with “Skillsort Technical Solutions PVT Ltd , Chennai” for providing placements.
  • Arrow
    Signed MOU with “V3 Tech Seri Business Partner Of HPE” for providing placements
  • Arrow
    Signed MOU with “PUMO Techovation India PVT Ltd” for providing placements.
  • Arrow
    Signed MOU with “CareerLabs Technologies private limited Bangalore” for providing seminars and conducting workshops.

Research & Development

Faculty Members

  • Arrow
    Dr M Lavanya published a paper titled “Secure Tamper-Resistant Electronic Health Record Transaction in Cloud System Via Blockchain
  • Arrow
    Dr M Lavanya published a paper titled “A hybrid classical techniques and optimal decision model for iris recognition under variable image quality conditions

About the Department

Computer Science and Engineering-AI and Machine Learning (B.E.CSE-AI & ML) is a popular engineering course that focuses on computation, algorithm analysis, programming languages, program design, software engineering, computer hardware, computer networks, and problem-solving abilities.

This interdisciplinary field prepares students for careers in web developers, project team associates, database administrators, system designers, hardware engineers, system analysts, architects, networking engineers, and software developers.

The curriculum includes courses in computer graphics, artificial intelligence, human computer interaction, robotics, database management, web technology, network security, grid and cloud computing, and cyber security.

The AI & department is crucial in forming the future generation of professionals and researchers in these quickly developing domains because of its emphasis on developing critical thinking and problem-solving skills.

VisionVision

To become a Centre of Excellence in Artificial Intelligence and Machine Learning for education through the state-of-the-art concepts, technologies, training, research and industry led curriculum with moral values and social responsibility to build a vibrant nation.

VisionMission

  • Arrow

    To imbibe students with sound knowledge of both theoretical and practical in the field of Artificial Intelligence and Machine Learning.

  • Arrow

    To produce graduates suitable for industries and organizations at global level including research and development.

  • Arrow

    To enable students to solve real time problems through continuous research, innovation and industry led curriculum.

  • Arrow

    To provide best teaching and learning support to meet the needs of diverse, ambitious and intellectually curious student.

HOD Message

HOD
Dr.M.Lavanya., M.E.,Ph.D.

Head of Department | AI & ML

I would like to extend my warmest welcome to the Department of Artificial Intelligence and Machine Learning. The Department of Computer Science Engineering (Artificial Intelligence & Machine Learning) was established in the year 2022 under the B.E. Programme.

The Department is strongly committed to imparting innovative and quality technical education with high standards at the undergraduate level. The field of Artificial Intelligence has the greatest impact on every futuristic technology which is already proved through transformation of science fictions into reality. The goal of the department is not only to provide strong knowledge and quality technical education but also to make the students industry-ready.

The excellent infrastructure, dynamic teaching staff along with training and placement cell ensure a bright future for the students. The department provides experiential learning opportunities such as Workshop, Hands-on training, Value added course, Project-based courses, Industrial Visits, Research projects, state of the art lab facilities and Internships that enables the students to explore, apply various directions of learning.

Our faculty members challenge their students, share insights gained through professional experience and communicate the knowledge they have spent a lifetime to nurture the students technical skills as well as professional grooming. We are confident that our students will emerge as assets not only to the institution and to the organization they join, but to the society at large

Faculty List
S.NoName of the Faculty MemberQualificationDesignation
1Dr. M. LavanyaM.E., Ph.DAssistant Professor and Head
2Dr. M. RajasekharM.Tech., Ph.DAssociate Professor
3 Mr. ThumilvananM.TechAssociate Professor
4Mrs. PadmavathiM.TechAssociate Professor

Programme Outcomes (POs)

PO1
Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2
Problem Analysis
Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3
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.
PO4
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.
PO5
Modern Tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6
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.
PO7
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.
PO8
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
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.
PO11
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.
PO12
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 Objectives (PSOs)

PSO1
Apply AI concepts to solve current issues, and combine technical expertise with cutting-edge resources and tools to meet changing AI requirements.
PSO2
Build a solid foundation for data science and artificial intelligence research, entrepreneurship, and innovation.

Program Educational Objectives (PEOs)

PEO1
Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
PEO2
Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO3
Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO4
Design and model AI based solutions to critical problem domains in the real world.
PEO5
Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Academic Calendar

Second year Schedule
maximize

Academic Time Table

Academic Time Table 1
maximize

Award of Degree & Division

Second Year/III- Sem

S.NoName of the StudentCGPARankAward
1Sneka V8.96I Memento & Cash Reward
2Roshini R8.87II Memento
3SeethaRaman S8.7IIIMemento

Infrastructure Facilities

  • Arrow
    Fully air conditioned labs
  • Arrow
    High specification systems
  • Arrow
    High speed WIFI
  • Arrow
    Smart Classrooms
  • Arrow
    Well ventilated environment
  • Arrow
    Purified Drinking water

Department Library

smart classroom
smart classroom

The department library is the greatest arsenal having manuals, 1500 books, project reports, mini project reports, research papers, and lectures materials. The digital resource including various professional societies enriches the students towards e-learning via various MOOC courses (NPTEL, Coursera) and inspires them to explore and achieve.

Workshop & Conferences

Right
First Slide

Emerging Web Technologies: What'S On The Horizon


Right

Awards/Achievements

Students

  • Arrow
    Ms Sneka V From II year AI&ML, has Won 1st prize in Techi Talk conducted by CIPOFEST'24.
  • Arrow
    Ms Priya S From II year AI&ML, has Won 2nd prize in Techi Talk conducted by CIPOFEST'24.
  • Arrow
    Mr Selva Neyas U Completed NPTEL Course titled “Python For Data Science” with ELITE Certification.
  • Arrow
    Mr Selva Neyas U Completed NPTEL Course titled “The Joy of Computing Using Python” with ELITE Certification.
  • Arrow
    Ms Anishaa V From II year AI&ML, has Won 1st prize in Reverse Coding conducted by SAMHITA'24.
  • Arrow
    Ms Deva Dharshini From II year AI&ML, has Won 1st prize in Ninja Coding conducted by SAMHITA'24.
  • Arrow
    Mr Seetha Raman S From II year AI&ML, has Won 1st prize in LCU conducted by SAMHITA'24.

MOUs

  • Arrow
    Signed MOU with “Edureka Learning center” for providing seminars and conducting workshops.
  • Arrow
    Signed MOU with “Skillsort Technical Solutions PVT Ltd , Chennai” for providing placements.
  • Arrow
    Signed MOU with “V3 Tech Seri Business Partner Of HPE” for providing placements
  • Arrow
    Signed MOU with “PUMO Techovation India PVT Ltd” for providing placements.
  • Arrow
    Signed MOU with “CareerLabs Technologies private limited Bangalore” for providing seminars and conducting workshops.

Research & Development

Faculty Members

  • Arrow
    Dr M Lavanya published a paper titled “Secure Tamper-Resistant Electronic Health Record Transaction in Cloud System Via Blockchain
  • Arrow
    Dr M Lavanya published a paper titled “A hybrid classical techniques and optimal decision model for iris recognition under variable image quality conditions