B Tech Artificial Intelligence & Machine Learning

Duration

4 years, 8 semesters

Intake

60 Seats

Eligibility

12^th class or equivalent from a recognized board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject.

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.

Mission

The Artificial Intelligence & Machine Learning Department endeavors for excellence in creating, applying and imparting knowledge in artificial intelligence and machine learning through comprehensive curriculum and innovative teaching-learning process.
Provide a sound technical and managerial foundation & multifaceted development that prepares student to excel in higher education, research or technical/managerial profession that can adapt to rapidly changing technology in computer engineering.

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Unique features of the Program

Academic collaboration with SAS Institute.
Strong base of mathematics and statistics to build the fundamentals of artificial intelligence and machine learning model.
Project based learning.
Industry internships for experiential learning.
Professional Global Certifications.

Programme Educational Objectives (PEOs)

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 Outcomes (POs)

Engineering Graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
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.
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.
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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.

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 24×7 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.