Computer Science & Engineering (Artificial Intelligence & Machine Learning)
As the Head of the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Maharaja Institute of Technology Mysore, it is my privilege to welcome you to our newly established department. Founded in 2023 with an intake of 60 students, we are committed to establishing ourselves as a leader in AI education, bridging the gap between traditional computer science and the rapidly evolving field of artificial intelligence. Our curriculum is thoughtfully designed to provide a strong foundation in both computer science and AIML, with an emphasis on practical applications alongside theoretical knowledge in areas such as machine learning, natural language processing, computer vision, and robotics. As a young and dynamic department, we are uniquely positioned to adapt swiftly to the latest advancements in AI. Our mission is to develop not just skilled engineers, but visionary problem-solvers capable of addressing complex challenges through AI-driven solutions. Despite being newly established, we are actively building partnerships with industry leaders and research institutions to provide our students with cutting-edge learning experiences and opportunities. We invite you to join us on this exciting journey as we explore the vast possibilities of artificial intelligence and shape the next generation of AI innovators and leaders.
- HOD's Message
- Program Overview
- PEO's
- PSO's
- PO's
Dr. Ranjith K C
Associate Professor & Head of Department
From HOD Desk
Artificial Intelligence and Machine Learning is currently the hot topic and probably the most seeked out discipline in both Industry and Academics. Most of the IT companies like Microsoft, Google, AMAZON, Tesla, NVIDIA many more have adapted to this concept in their system. Artificial Intelligence software, by the leading artificial intelligence companies, is a fast-growing market within computer science that focuses on creating and providing intelligent problem-solving solutions. A.I. software can include speech recognition, problem-solving, learning and planning that can aid or even replace human engagement in a process. The Department of Machine Learning is the youngest branch of MIT Mysore established in 2023. The department has fostered excellence in undergraduate education while advancing research that pushes the boundaries of Machine Learning and Artificial Intelligence. It focuses on teaching and research on Deep Learning, Data Mining, Big Data and Natural Language Processing.
Artificial Intelligence and Machine Learning is currently the hot topic and probably the most seeked out discipline in both Industry and Academics. Most of the IT companies like Microsoft, Google, AMAZON, Tesla, NVIDIA many more have adapted to this concept in their system. Artificial Intelligence software, by the leading artificial intelligence companies, is a fast-growing market within computer science that focuses on creating and providing intelligent problem-solving solutions. A.I. software can include speech recognition, problem-solving, learning and planning that can aid or even replace human engagement in a process. The Department of Machine Learning is the youngest branch of MIT Mysore established in 2023. The department has fostered excellence in undergraduate education while advancing research that pushes the boundaries of Machine Learning and Artificial Intelligence. It focuses on teaching and research on Deep Learning, Data Mining, Big Data and Natural Language Processing.
Course Name:
B.E in Computer Science & Engineering (Artificial Intelligence and Machine
Learning)
Level:
UG (Intake 60)
Year of Approval:
2023
B.E in Computer Science & Engineering (Artificial Intelligence and Machine
Learning)
Level:
UG (Intake 60)
Year of Approval:
2023
Program Educational Objectives
- PEO1 Acquire fundamentals and expertise in data engineering skills for professional career in industry, government, academia as innovative engineers.
- PEO2 Pursue higher studies with research potential.
- PEO3 Demonstrate professional ethics and attitude as an individual or team member at workplace and function professionally in a global competent world.
Program Specific Outcome (PSO)
- PSO1 Software Systems: Apply the skills of cognitive computing, artificial intelligence and machine learning in the field of data engineering to develop intelligent systems.
- PSO2 Recommendation Systems: Demonstrate Computational knowledge, practical competency and innovative ideas in Artificial Intelligence & Machine Learning.
- PSO3 Data Driven Systems: Use modern tools and techniques to solve problems in Machine Learning, Deep Learning, Computer Vision and Natural Language Processing.
Program Outcome (PO)
- 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, review 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.
Vision
To achieve excellent standards of quality education in the field of Artificial intelligence and Machine Learning.
Mission
- To nurture the students with strong fundamentals for a successful carrier in
the field of artificial intelligence and machine learning.
- To motivate the students for post-graduation and research.
- To create impact in the society with continuous research and innovations.
Infrastructure
- Labs
- Research Center
- Class Room
- HOD Room
- Department library
The department is a R&D center for Ph.D students. This center is approved by Visvesvarya Technology Institute and Mysore University. The department has highly competent faculty. Several professors in the department have Ph.D degrees.
Areas of research are:
- Image Processing, Pattern recognition and Computer Vision
- Computer Networks
- Robotics and Artificial Intelligence.
- Machine Learning
The CSE department has a modest department library which houses a small number of popularly referenced texts, with the aim of providing ready access for the students and faculty.
Sl. No. | Details of Department Library | Number of books available in the department library |
1. | Engineering books | 453 |
2. | Novel Books (English) | 200 |
3. | Novel Books (Kannada) | 300 |
4. | Drama (English) | 6 |
5. | Drama (Kannada) | 7 |
6. | Story Book (Kannada & English) | 25 |
7. | Competitive Exam Text books (PGCET, GATE, GRE) | 12 |
8. | Question Bank | 3 |
9. | DVDs (Information Technology) | 4 |
Contact Information
- 1. Department Telephone Number: +91 9480839653.
- 2. HOD’s Name: Dr. Ranjith K C.
- 3. Contact Number: +91 9480839653.
- 4. Email Address: hodaiml@mitmysore.in.
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About Us
- 9620228021 / 9620228022
- principal@mitmysore.in
- Belawadi, Srirangapatna Tq Mandya, Karnataka 571477
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