Artificial Intelligence & Machine Learning (AI&ML)
The Artificial intelligence (AI) covers the idea of a machine that is imitating the human intelligence. The Machine learning (ML) aims to teach a machine how to perform a specific task and provide accurate results by identifying patterns? The blend of studying these two technologies enhances the knowledge to build the career. This can be understood by observing theworking examples like OLA, chatboats, E-payments etc. The need for skilled AI & ML professionals spans nearly every industry, including: Financial services, Healthcare, Technology, Media, Marketing, Government and military, National security, IoT-enabled systems, Agriculture, Gaming, Retail etc.
The AI&ML Engineer can choose the career in Big Data Analyst, User Experience Designer, Natural Language Processing Engineer, Researcher, Software Engineer, Machine Learning Engineer etc. The MNCs recruiting are Amazon Web Services, Apple, and Microsoft etc. The skills required by the AI & ML engineer are Solid knowledge of applied mathematics and algorithms, Problem-solving skills, Industry knowledge, Management and leadership skills, Machine learning etc.
The Institute offers the AI & ML Degree affiliated to Visvesvaraya Technological University Belagavi to prepare graduates for success in this fast-growing field. The Department is highlighting on Academics, Skill Development, real-world applications, co-circular and extra-circular activities by the support of faculties, Industry experts interaction, Infrastructure, Workshops, Seminars Projects and Internships etc.
VISION
To emerge as a premier center of excellence for Technical Education and Research in the field of Artificial Intelligence and Machine Learning with the emphasis on producing skilled engineers who are professionally competent, sensitive towards the society and capable of delivering in a global environment.
MISSION
- To establish an environment that has the necessary infrastructure and human resources to impart domain knowledge meticulously.
- To implement experiential learning so that capable and industry ready students are produced every year.
- To groom students from the perspective of innovation and leadership.
- Instill values of professional ethics, social responsibility, environment concern and lifelong learning.
Information science and Engineering is originally a basic study to elucidate the mechanism of information processing in such biotic behavior as thinking, decision making, perception, and learning and a study to develop devices which can simulate those activities. Information science is applied to all fields of study, including the natural sciences, the arts and humanities, technology and social science, and has brought about revolutions in these areas.
The Faculty of information Science and Technology offers engineering and industry oriented subjects where the students can excel in the interested domain. These diversified programmes are application-oriented and are designed to produce competent graduates who can apply theories in practice. Our students are set to participate in industrial and research projects with a strong applied nature for industrial, commercial and community needs. They will be trained to think critically and analytically, thus standing them in good stead in their future professions and making them highly valued by employers.
Our team of professors and lecturers has an unswerving dedication to provide a caring environment and a gateway for aspiring students to pursue lifelong learning. We will always be around to help any and all, even after graduation and beyond.
DR. LATHA P. H
HOD ISE
ABOUT DEPARTMENT
The Information Science & Engineering programme at SAIT was started in 2001, and is designed to prepare students to gain extensive knowledge of tools and techniques of information processing. These days we need connectivity of data across the globe and we need it at the click of the mouse. That is the challenge Information Technology has to meet. The department is well known for consistent performance in academic results and placement.
The department offers an undergraduate course of eight semesters, as per the VTU syllabus leading to a bachelor’s degree in information science.
The world is in the focus of a significant transformation due to Industrial evolution by intelligent, autonomous systems. This is due to significant changes in requirements of real world scenario. We are striving hard to produce qualified professionals in the promising fields of Artificial Intelligence and Machine Learning (AIML). Our institute has begun a four-year B.E. program in AIML with 60 seats in 2022. This program focuses on subjects of the AIML.. The Visvesvarya Technological University Belagavi frames the syllabus for the Department to follow. The additional requirement of skill, information and knowledge is augmented by the Institution. Students will participate in a variety of multidisciplinary, holistic development tasks that will enhance their knowledge, skills, and professional ethics. Engineers with knowledge and expertise in the field of Artificial Intelligence & Machine Learning can build their career in the competitive world.
The Institute, Department’s faculty and non-teaching staff, infrastructure, facilities are dedicated to ensuring that our students are prepared for success in their career by giving them the knowledge and skills in Artificial Intelligence, Machine Learning, and related encouragements
Dr. Ajeet A C
Prof & Head
Scheme and Syllabus
OUR STAFF MEMBERS
A good teacher is like a candle- it consumes itself to light the way for others.
TEACHING - LEARNING PROCESS
At the Department , our teaching and learning process is designed to provide students with a robust foundation in while fostering critical thinking and practical skills.
an overview:
- Curriculum: Our curriculum is thoughtfully structured to cover fundamental concepts in subject while offering flexibility for specialization in various disciplines. We integrate theoretical knowledge with hands-on laboratory experience to provide a holistic education
- Interactive Classes: Our classes are conducted in an interactive and engaging manner, encouraging active participation and open discussions. We believe in creating a dynamic learning environment where students can ask questions, explore ideas, and challenge conventional thinking.
- Laboratory Work: Laboratory work is an integral part of our teaching process. It allows students to apply theoretical knowledge in practical experiments, enhancing their problem-solving and analytical skills.
- Mentorship: Our faculty members are not just educators but mentors who are accessible to students for academic and career guidance. We believe in nurturing talent and helping students reach their full potential.
- Assessment: We have a rigorous assessment system in place to evaluate student progress and ensure that learning outcomes are met. Feedback is provided to help students continuously improve.
- At the Department , we are committed to preparing our students for successful careers in academia, industry, and research. Our teaching and learning process is designed to inspire a lifelong passion for the subject and a commitment to scientific excellence.
- Problem solving and Decision Making
- Natural Language Processing
- Machine Learning and Deep Learning
- Robotics and Automation
- Enhancing Health Care and Medicine
- Fostering Creativity and Innovation
- ICT Enabled Class Rooms
- Qualified Faculties
- Internet Connectivity
- High End Machines in the Laboratories
SNO | NAME | QUALIFICATION | DESIGNATION |
|
01 | Dr. Ajeet A. C. | BE., MTech., PhD | Prof & Head |
|
02 | Shweta | BE., MTech. | Asst. Prof |
|
03 | Saritha Kishore | BE., MTech. | Asst. Prof |
|
04 | Jayashree | BE. | Programmer |
|
Sl. No. | Events Conducted | Guest of Speaker | Date of Conduction |
1 | Value added course on Python | Mr. Vinay Harista Vtrix Technology | 15/11/2023 |
2 | Seminar on Mastering the future: exploring careers in AI security, Data protection and Cyber security | Mr. Santhosh Chaluvadi Founder and CEO SUPRAJA TECHNOLOGIES | 21/12/2023 |
3 | Start Up talk | Mr. Abhhimanyu Rishi | 29/12/2023 |
4 | Seminar on Digital Engineering | Sathish D.V Deputy Director (E&RD COUNCIL NASSCOM) | 19/01/2024 |