The department of Artificial Intelligence and Machine Learning (AI&ML) is approved by Visvesvaraya Technological University, Belagavi from the academic year 2020-21. The exiting journey of the department is started in the year 2020. The department offers an undergraduate B.E. program with an intake of 60 students.
The department is started to cater the needs of Industry 4.0, which has created revolution by integrating new technologies such as Artificial Intelligence and Machine Learning, Internet of Things (IoT) etc., into their production facilities and their operations.
The Department has well qualified faculty with rich research and teaching experience and is committed to impart rigorous training to the students to generate knowledge through the state of art concepts and technologies in Artificial Intelligence and Machine Learning. The department has adequate infrastructure with state-of-art laboratories to facilitate advanced learning environment. Workshops, Bridge Courses, Carrier guidance, technical skills and soft skill programs are conducted by industry experts and academicians to enhance the skills of the students to meet the cutting edge technologies. The Department has MOUs with several industries which in turn provide internship and training to our students.
To cope up with the upcoming Industrial demands, it is highly required to ensure adaption of latest skills among students of Artificial Intelligence and Machine Learning to meet the Industry standards. With this objective the department organizes School of Artificial Intelligence program, spread across 4 years, being conducted in collaboration with M/s Tequed Labs, Bangalore, to help the students improve on cutting edge technologies and develop AI applications.
The Department coordinates Infosys Campus Connect program, regular training sessions are being organized for the students of all the streams to ensure preparedness for Infosys Certification Examination. The students are also motivated to get certified on various certification courses available on Infosys Springboard platform which helps to bridge the gap between Industry and Academia.
Vision
To bring forth technically versatile, Research oriented, Industry ready engineers in the field of Artificial Intelligence and Machine Learning.
Mission
1. Facilitate modern infrastructure and versatile learning resources to produce self-sustainable professionals.
2. Facilitate project based learning and skill upgradation through industry collaborations.
3. Inculcate professional ethics, leadership qualities and practice lifelong learning.
The department of Artificial Intelligence and Machine Learning (AI&ML) is started in the academic year 2020-21 with the intake of 60 students. The department offers undergraduate B.E. program. The Department has well qualified faculty with rich research and teaching experience and is committed to impart rigorous training to the students to generate knowledge through the state of art concepts and technologies in Artificial Intelligence and Machine Learning.
The department has adequate infrastructure with state-of-art laboratories to facilitate advanced learning environment. Value added courses, Workshops, Bridge Courses, Student development programs, Technical skills and Soft skill programs are conducted by industry experts and academicians to enhance the skills of the students to meet the cutting edge technologies. The Department has MOUs with several industries which in turn provide internship and training to our students. Sports, Co-curricular and Extra-curricular activities takes place at Institute level and students participate in various Intra-College, Inter-College, Inter-University competitions.
Course Outcomes:
Faculties frame the Course outcome by using the four components: Action, Knowledge, Condition, benchmark and shall focus on what the student should know and realistically be able to do by the end of the course.
Choose the Action verb required for learning based on the level, this measures the student ability in demonstrating the concept which is required (Apply, Analyze, . . . .).
The Knowledge and its level required to reach/achieve the concept, some of the concepts required are specific to the domain knowledge.
what are the conditions on which the above knowledge specified is achieved / or the conditions under which the operations happen to achieve the above said knowledge.
To characterize the acceptability levels of performing the action. Bench mark methods are specified for the Optional element.
Programme Specific Outcomes:
Department of Artificial Intelligence and Machine Learning:
Graduates will be able to:
