Our Bachelor of Science in AI program is designed to provide students with a strong foundation in the theory, algorithms, and applications of artificial intelligence. Through a combination of rigorous coursework and hands-on projects, students will develop the skills necessary to understand, design, and implement AI systems.

Program Educational Objectives (PEOs)

The mission of the Artificial Intelligence program is to produce technically sound and innovative graduates, industrial leaders and entrepreneurs of character and vision who can address current and future industrial technology challenges.

• PEO 1: Entered in the artificial intelligence and computing profession or related fields in prominent organizations or working as a technopreneur.
• PEO 2: Become medium level experts able to creatively apply their expertise of science, engineering and technology to the solution of technical problems.
• PEO 3: Earned a reputation as a professional, sensitive to the environmental, social, safety and economic context and possess a strong commitment to ethical practices.
• PEO 4: Attained a junior leadership position and be acknowledged as a valuable team member able to communicate effectively.
• PEO 5: Continued their professional development and physical well-being.

Program Learning Outcomes (PLOs)

Program outcomes are the narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the knowledge, skills and attitude that the students acquire while progressing through the program. PLO’s of UG program are as under:

• PLO 1: Academic Education: Completion of an accredited program of study designed to prepare graduates as computing professionals.
• PLO 2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
• PLO 3: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
• PLO 4: Design / Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
• PLO 5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
• PLO 6: Individual and Teamwork: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
• PLO 7: Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
• PLO 8: Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
• PLO 9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
• PLO 10: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.