About the Department
The department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) was established in the year 2021 with intake of 60 students. The Department of AIML at ATMECE is dedicated to impart constructive and quality technical education with high standards at undergraduate level.
The department focuses on building strong theoretical foundations along with practical skills in Artificial Intelligence and Machine Learning, enabling students to develop solutions to real-world and societal challenges. Supported by experienced and committed faculty, the department nurtures innovation, critical thinking, and professional competence among students.
The department is well equipped with modern computing facilities and advanced laboratories to meet current academic and industry requirements. The program strongly emphasizes experiential learning through hands-on laboratory sessions, project-based learning, research activities, and industry internships. These opportunities provide students with practical exposure and prepare them for successful global careers in emerging technologies.
Reflecting the department's academic excellence, two of our students secured the 3rd and 4th ranks in VTU in the academic year 2024–25.
Dr. Anil Kumar C J
I am confident that the Department of Artificial Intelligence & Machine Learning at ATMECE is stalwartly prepared to face the new societal issues and challenges in this new IT era with Indian Talent (IT). At AIML we believe in teamwork — we inspire, encourage and help each other, and, most importantly, we trust each other. This is the key to our students' success. The department focuses on constructive engagements which will enable employment opportunities for our students. We hope and assure that we transform our students in all dimensions of their student life to become better citizens of this nation for a better India and a better world.
Vision
To impart technical education in the field of Artificial Intelligence and Machine Learning of topnotch quality with a high level of professional competence, social obligation, and global cognizance among the students.
Mission
- To impart technical education that is up to date, relevant and makes students to compete at global level.
- Fostering an ambiance where students can adopt the suitable moral, intellectual, emotional, and physical attributes to shine as the leaders of tomorrow's society.
- To strive to meet ever higher educational standard.
Programme Educational Objectives (PEOs)
PEO1: Graduates will be able to hone their problem-solving abilities and capacity to offer solutions to challenges that arise in the actual world.
PEO2: Able to design and develop AI based solutions to real-world problems in a business, research, or social environment.
PEO3: Graduates shall acquire and inculcate corporate culture, core attributes, and leadership qualities as well as professional etiquettes and lifelong learning.
Programme Outcomes (POs)
PO1. Engineering Knowledge: Apply fundamental knowledge to solve complex engineering problems.
PO2. Problem Analysis: Identify and formulate complex problems to reach substantiated conclusions.
PO3. Design/Development of Solutions: Create solutions that meet specific needs, considering health, safety, and environmental factors.
PO4. Conduct Investigations of Complex Problems: Use research-based methods to design experiments, analyze, and interpret data.
PO5. Engineering Tool Usage: Select and apply modern techniques and IT tools to engineering activities.
PO6. The Engineer and the World: Understand the impact of professional engineering solutions on society and the environment.
PO7. Ethics: Commit to professional ethics and responsibilities.
PO8. Individual and Collaborative Team Work: Function effectively as an individual or team member in multidisciplinary settings.
PO9. Communication: Communicate effectively regarding complex engineering activities with the engineering community and society.
PO10. Project Management and Finance: Apply management and financial principles to project work.
PO11. Life-Long Learning: Engage in independent and life-long learning in the context of technological change.
Programme Specific Outcomes (PSOs)
PSO1: Ability to design and develop artificial intelligent based solutions by applying optimal algorithms to solve real world issues.
PSO2: Ability to apply suitable AI tools and techniques to offer solutions in the various domains of engineering.
Course
| Programme | Leading to… | Duration | Intake |
|---|---|---|---|
| Computer Science & Engineering – Artificial Intelligence & Machine Learning | B.E (CSE – AI & ML) | 4 Years | 60 |
Class Incharge — AI&ML (Academic Year 2025–26)
| Sl. No. | Semester | Section | Class Incharge | Mail ID | Phone |
|---|---|---|---|---|---|
| 1 | 3rd | A | Prof. Apoorva S M | apoorvasm.ci@atme.edu.in | — |
| 2 | 5th | A | Prof. Likitha D | likithad.ci@atme.edu.in | — |
| 3 | 7th | A | Prof. Vanitha G Naik | vanithagnaik_cs@atme.edu.in | — |