Artificial Intelligence and Machine Learning

The Department of Artificial Intelligence & Machine Learning has been established in the academic year 2020-2021. The department has always attracted the best of Engineering aspirants from all over the country and abroad. It is successful in producing skilled and competent Computer Engineers and Entrepreneurs ready to satisfy the needs of the industry and society at large. The department is equipped with adequate infrastructure to support academic, research and extra-curricular activities for all round development. The department offers Postgraduate and Research Programmes at the headquarters, Belagavi and PG centres at Kalaburagi, Mysuru and Muddenahalli. All the locations have serne enivirons and state of the art infrastructure to facilitate learning and research. The faculty of the department work in all the niche areas of Computer Science contributing to the Knowledge.

VISION AND MISSION

To excel as one of the  premier center of excellence in the field of  artificial intelligence and Machine learning to program computers on sample data that enables systems to derive meaningful information.

  • To impart knowledge in recent Artificial Intelligence technologies on par with industrial standards.
  • To tackle relevant problems for the society with the support of community and collaborate with industry. To uplift innovative research and development in Artificial Intelligence and Machine Learning and its allied fields to serve the needs of society.
  • To motivate research and development in Artificial Intelligence and Machine Learning.

PO'S | PEO'S | PSO'S

Students of B.E. Artificial Intelligence and Machine Learning Program at the time of graduation will
be able to:
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering
fundamentals, and an engineering specialization to the solution of complex engineering
problems.
2. Problem analysis: Identify, formulate, research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of
mathematics, natural sciences, and engineering sciences.
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.
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.
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.
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.
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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or
leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.

PEO1:  Using analytical skills acquired in the field of Artificial Intelligence and Data Science graduate
will solve real-time problems.
PEO2: Graduate will embrace the professional code of ethics while participating in projects that benefit
society.
PEO3: Graduates will innovate and adapt new technologies of AI in their chosen field of profession.
PEO4:  To engage in life-long learning by pursuing higher education graduate will have the capacity to
augment career development.

PSO1: Build skills to develop software applications in specialized areas of Computer Science and Engineering such
as Artificial Intelligence, Machine Learning, Data Science, Web Development, Gaming, Augmented Reality /
Virtual Reality (AR/VR).
PSO2: Focus on exploring supervised, unsupervised and reinforcement learning and apply them to a range of AI
problems.

HOD

“In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose.” - Matt Bellamy

Dr NIJAGUNA G S HoD Email : hodaiml@seacet-bangalore.org.in
nijaguna

    FACULTIES

    malashree

    Mrs Malashree

    Assistant Professor

    swathi

    Ms Swathi A

    Assistant Professor

    deepa

    Mrs Deepa P

    Assistant Professor

    Achievements

    Name

    Achievement

    Mr. Manoj Kumar N I

    Completed NPTEL course - Programming in Java

    FACULTY

    Mr. Manoj Kumar N I

    Member of VTU Technical Dictionary

    FACULTY

    Mr. Sukesh H A

    Participated in WHO supervised LIFE SKILLS training conducted by NIMHANS, Govt of Karnataka

    FACULTY

    Activities

    Activity Year

    Activity Name

    Activity Type

    2019

    AGNEYA

    Technical Fest

    2020

    Webinar

    Webinar on Business Intelligence

    2022

    Navadhara (Intra Technical Project Competition)

    Intra college Technical Project Competition

    Publication

    Faculty_name

    Title

    Status

    Name_of_journal

    Mr. Manoj Kumar N I

    Completed NPTEL course - Programming in Java

    FACULTY

    FACULTY

    Mr. Manoj Kumar N I

    Member of VTU Technical Dictionary

    FACULTY

    FACULTY

    Mr. Sukesh H A

    Participated in WHO supervised LIFE SKILLS training conducted by NIMHANS, Govt of Karnataka

    FACULTY

    FACULTY

    ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

    20220802_122132PM_ByGPSMapCamera

    Convocation 2022

    Convocation 2022 Batch

    LAB

    Infrastructure

    Computer Science Lab – AIML

    20220613_21136PMByGPSMapCamera

    Best Project Award

    Best Project Award 2022

    SIH

    Internal Smart India Hackathon

    SIH – 2022