Vision
Play a significant role in creating Artificial Intelligence & Machine Learning Graduates with sound technical and managerial skills of value to industry and society both at national and international level.
Mision
Programme Educational Objectives
PEO 1: Be successful in their professional career with exposure to relevant technologies in software industries.
PEO 2: Graduate will be able to contribute in development of systems to solve real world problems.
PEO 3: Graduate will be able to pursue higher education
Program Duration
Four years full Time B. Tech. in the following disciplines with the intake mentioned against each is offered at the Shirpur Campus.
Intake
Artificial Intelligence & Machine Learning Engineering – 60 Seats
Unique features of the Program
The course structures
The course structures for various B. Tech. programs are given in subsequent pages, which are subject to review and revision by the Board of Studies in Engineering Sciences and approval of the Academic Council of the University.
Teaching, Learning & Evaluation
Curriculum for the program includes adequate balance of fundamental / foundation, core and elective courses. The courses are based on a credit structure with 22-26 credit per semester totaling to around 152 credits over for the entire 4 years B Tech Program including 7 months of industry internship. Every course is assigned lectures and practical as per requirement. The program course content is reviewed every year with industry inputs and participation.
The school encourages students to learn through experiential mode along with class room delivery. The delivery is very actively supported by Learning Management System (LMS). The LMS facilitates learning beyond classroom through YouTube and other online courses and contents available on the net. Through this innovative teaching and learning process, students have ample opportunity to learn through different modes. The curriculum also emphasizes on continuous self-learning.
Evaluation is based on continuous assessment throughout semester with appropriate weightage for in semester work, as well as end semester exams. Different modes of evaluation like open book exam, quiz and viva are available for the faculty to ensure attainment of course and program out-comes as defined above.
Pedagogy
To address the demand of current market, the start of art learning is given that expects 24x7 online learning content as a supplement to the classroom learning, several modes of delivery are available, in addition to project based learning, implementation of technology, projects executed in the industry, participation in international competitions, group work etc. This innovation in Pedagogy ensures that students have several learning opportunities matching to their aspirations.
Value Proposition
Students completing the program are found to be highly employable due to the innovative teaching – learning process adopted along with different modes of evaluation and industry internship for experience. Due to the emphasis on continuous self-learning, students are ready to undertake research and problem-solving capabilities in different emerging and disrupting technologies. Several opportunities are available to the students to pursue entrepreneurial traits leading to initiation of start-ups.
