PROGRAMS
B.E. in Artificial Intelligence & Data Science
The Artificial Intelligence and Data Science program at AJ Institute of Engineering and Technology, affiliated with Visvesvaraya Technological University, offers a comprehensive education in cutting-edge technologies. This program emphasizes both theoretical knowledge and practical skills, covering key areas such as machine learning, data mining, and neural networks. Students engage in hands-on projects, utilizing tools like Python, TensorFlow, and R to solve real-world problems. With a focus on interdisciplinary learning, the curriculum integrates computer science, mathematics, and statistics to produce well-rounded graduates. Upon completion, students are equipped to tackle complex challenges in AI and DS, driving innovation across various industries.
Level : Under graduation
Duration : 4 years
Eligibility :
- Second year Pre-University or XII standard or equivalent examination recognized by the University (with Physics and Mathematics as compulsory subjects, along with any one of the following subjects, namely, Chemistry, Bio-Technology, Computer Science, Biology and Electronics)
- Admission to II year/ III semester Bachelor Degree in Engineering/ Technology (Lateral Entry) shall be open to the candidates who are holders of a diploma or equivalent qualification as recognized by University
PROGRAM OUTCOMES (POs)
- 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 analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science 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 sustainability : Understand the impact of the professional engineering solutions in the 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 ones own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Lifelong learning : Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broader context of technological change.
