Student Outcomes:

The students of BS Artificial Intelligence program are expected to attain the following outcomes by the time of graduation.

1. SO1: Apply knowledge of computing fundamentals, mathematics, statistics, artificial intelligence, machine learning, and relevant domain knowledge to solve computing problems.
2. SO2: Identify, formulate, research, and analyze complex computing and AI problems using appropriate principles of mathematics, computing sciences, and relevant domain disciplines.
3. SO3: Design, implement, and evaluate AI-based solutions, systems, models, and processes that meet specified needs while considering public health, safety, cultural, societal, and environmental factors.
4. SO4: Select, adapt, and apply appropriate AI techniques, computational resources, programming environments, frameworks, and modern computing tools, while understanding their capabilities and limitations.
5. SO5: Function effectively as an individual and as a member or leader of diverse and multidisciplinary teams to accomplish computing and AI-related goals.
6. SO6: Communicate effectively with computing professionals and society through technical reports, documentation, presentations, visualizations, and clear verbal and written communication.
7. SO7: Analyze and evaluate the societal, health, safety, legal, cultural, economic, and environmental implications of AI and computing technologies in local and global contexts.
8. SO8: Apply ethical principles, professional responsibilities, privacy principles, and responsible AI practices in the development, deployment, and use of computing and artificial intelligence systems.
9. SO9: Recognize the need for and demonstrate the ability to engage in independent and continuous learning to remain current with emerging AI technologies, methodologies, tools, and professional practices.
10. SO10: Conduct systematic investigation, research, experimentation, and critical evaluation to develop innovative AI-based solutions and contribute to the advancement of computing knowledge and practice.

The SOs provides graduates with the basis for attaining PEOs during their professional tenure. The broader defined PEOs were decomposed into more measurable and achievable SOs related to PEOs.

PEO-SO Mapping:

The student outcomes are mapped with the program educational objectives so that if we achieve the program learning outcomes, the program educational objectives would be considered to have been completed. The mapping of SOs with PEOs is mentioned in Table. Teaching different curriculum courses could achieve the program’s learning outcomes. As mentioned later, all these courses are related to the program learning outcome. Each course has its course learning outcome. Suppose the learning outcome of the course is achieved. In that case, the respective program learning outcome will be achieved, and ultimately, by attaining the program learning outcomes, we will accomplish the program’s educational objectives.