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department-of-BSc.CS-(AI& DS)

PEOs | PSOs | POs

Program Educational Objectives (PEOs)

The B. Sc. Computer Science (AI&DS) program describes accomplishments that graduates are expected to attain within five to seven years after graduation.

  • PEO1 – To enrich knowledge in core areas related to the field of Artificial Intelligence and Data Science.
  • PEO2 – To provide opportunities for acquiring in-depth knowledge in AI tools and techniques and thereby design and implement software projects to meet customer’s business objectives.
  • PEO3 – To enable graduates to pursue higher education leading to Master and Research Degrees or have a successful career in industries associated with Artificial Intelligence or as entrepreneurs or as a startup.
  • PEO4 – To enhance communicative skills and inculcate team spirit through professional activities, skills in handling complex problems in data science and research projects to make them a better team player.
  • PEO5 – To embed human values and professional ethics in the young minds and contribute towards nation building.

Program Specific Outcomes (PSOs)

After the successful completion of the B.Sc. Computer Science (AI&DS) program, the students are expected to:

  • PSO1 – Impart the fundamental principles and methods of Artificial Intelligence and Data Science across diverse applications.
  • PSO2 – Develop and deploy applications of varying complexity using the acquired knowledge in various programming languages, understanding the ethical implications of AI algorithms.
  • PSO3 – Investigate the transformative potential in solving complex problems, automating processes, and generating insights from data.
  • PSO4 – Identify and solve complex problems, enhancing efficiency, and driving innovation across multiple sectors.
  • PSO5 – Ability to identify, interpret, analyze, and design solutions using appropriate algorithms of varying complexities in the field of Artificial Intelligence and Data Science.

Program Outcomes (POs)

On successful completion of the B.Sc. Computer Science (AI&DS) program:

  • PO1 – Disciplinary Knowledge: Capable to apply the knowledge of mathematics, algorithmic principles, and computing fundamentals in the AI models, machine learning algorithms, and data-driven systems of varying complexity.
  • PO2 – Scientific Reasoning / Problem Analysis: Ability to critically analyze, categorize, formulate, and solve the problems that emerge in the field of Artificial Intelligence.
  • PO3 – Problem Solving: Able to provide a structured approach to understand, analyze, and develop solutions to complex problems using mathematical, algorithmic, and computational techniques.
  • PO4 – Environment and Sustainability: Understand the impact of software solutions in data-driven insights, optimize resource use, and drive efficiencies across various sectors.
  • PO5 – Modern Tool Usage: Use AI-powered tools necessary for integrated solutions.
  • PO6 – Ethics: Function effectively with social, cultural, and ethical responsibility as an individual or as a team member with a positive attitude.
  • PO7 – Cooperation / Team Work: Function effectively as a member or leader on multidisciplinary teams to accomplish a common objective.
  • PO8 – Communication Skills: Ability to communicate effectively with diverse types of audiences and prepare and present technical documents to different groups.
  • PO9 – Self-directed and Life-long Learning: Recognize the need for self-motivation to engage in lifelong learning to stay up-to-date with evolving technology.
  • PO10 – Research Culture: Enhance research culture and uphold scientific integrity and objectivity.