- Result : 2024-2025 Percentage : 77.46%
- Result : 2023-2024 Percentage : 85.45%
- Result : 2023-2024 Percentage : 87.50%
- Result : 2024-2025 Percentage : 77.46%
- Result : 2023-2024 Percentage : 85.45%
- Result : 2023-2024 Percentage : 87.50%
About The Department
The Department of Computer Science and Engineering [Artificial Intelligence and Machine Learning] is a specialization programme in Computer Science and Engineering. It is a 4 Year degree programme started in the year of 2023. The main objective of the department is to provide an innovative Computer Professionals in the field of Artificial Intelligence and Machine Learning. The department flourishes to impart an effective technical education through experiential learning and expand concrete infrastructure with expert faculty and dynamic student community for reaching better target in the field of Artificial Intelligence and Machine Learning both in placement and higher education.
The Department has the state-of-the-art facilities for various laboratories, a well equipped seminar hall, smart class rooms to support e-Learning, and a department library.
The department insists on enforcing Outcome Based Education (OBE) in the tenure of under graduation with the aid of method of having college ranks, higher placement records, and advanced higher order thinking.
To emphasize on lifelong learning and making use of information on fixing actual world issues, we conduct numerous technical activities like hackathons, coding competitions, workshops, Guest lectures, seminars and Industrial visits. We strive to train our first-class in phrases of information dissemination and produce out our students with an enriched experience.
Our initiatives will surely mildew the students in any such manner that they face the outside world with spark off technical, interpersonal and trouble-solving abilities. In order to prepare Industry geared up students with holistic character, we tie up with various corporations and often organize diverse sports like enterprise visits, technical talks, and actual-time initiatives to hone the scholars’ technical and smooth competencies.
Vision & Mission
Vision
- To promote highly Ethical and Innovative Computer Professionals in the field of Artificial Intelligence and Machine Learning by providing required skill sets through excellence in domain expertise and interactive industry interface and shape them to be a socially conscious and responsible citizen.
Mission
- To provide a globally competent professionals to learn in the field of Artificial Intelligence and Machine Learning. and to be innovative in solving real world problems.
- To initiate Industry oriented activity and Centre of Excellence forums to solve the real world problems.
- To build moral and ethical values in their profession.
PO,PEO,POS
Programme Outcomes (POs)
- 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 the need for sustainable developments.
- 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: 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.
- 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 multi-disciplinary 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.
Programme Educational Objectives (PEOs)
PEO-1: To equip graduates to with a foundational understanding of programming, mathematical modelling, artificial intelligence, and machine learning.
PEO-2: To equip graduates with the necessary skill sets and enable them to take up innovative Projects in the field of Artificial Intelligence & Machine Learning
PEO-3: To facilitate an appropriate environment to bring out the talents, creativity and innovation among students to contribute to the society.
Programme Specific Objectives (PSO’s)
PSO1:Graduates should be able to apply mathematical methodologies to solve computational task, model real world problem using appropriate AI and ML algorithms.
PSO2: Graduates should be able to comprehend, assess, and create computer programs in the fields of algorithms, web design, artificial intelligence, machine learning, deep learning, data science, and networking for the effective design of computer-based systems of various complexities
PSO3: Graduates should be able to develop a desire for higher education, to create unique career paths to be an entrepreneur, and to mature as an ethically socially responsible AI and ML professional.
Course Outcome
Regulations - 2023
Achievements
Ms. S. Famitha, HOD / CSE- AI&ML
Awarded as Women Researcher for the contribution and achievement in Innovative Research by International Academic Awards.
Mr. P. Santhosh, I Year CSE-AI&ML
Secured Elite Silver Certification in Swayam – NPTEL for the course “English Language for Competitive Exam” during Jan – Apr 2024.
Ms. C.U. Shreenidhi, I Year CSE-AI&ML
Successfully completed Certification in IIT(M) for the course “Programming and Data Science” on 15th May 2024.
Mr. Pavan Kumar Cheemala, I Year CSE – AI&ML
Won the first prize in “3rd South India Open Karate Championship 2024”.
Mr. NM. Vigneshwaran, I Year CSE-AI&ML
Successfully completed Certification in Swayam – NPTEL for the course “English Language for Competitive Exam” during Jan – Apr 2024.
Research
| Academic Year | National Conference | International Conference | International Journal | Books / chapters Published | Details |
|---|---|---|---|---|---|
2023-2024 | - | - | 3 | 1 | |
Gallery
EVENTS
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