PROGRAM OUTCOMES (POs)

POs are broad statements describing what students are expected to know and be able to do upon graduation.

• PO1: Basic Knowledge: Apply knowledge of basic mathematics, science, and engineering fundamentals.
• PO2: Problem Analysis: Identify and analyze well-defined engineering problems.
• PO3: Design: Design solutions for well-defined technical problems.
• PO4: Development: Ability to design and develop a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
• PO5: Tools Usage: Apply modern engineering tools, including AI tools and software.
• PO6: Multidisciplinary: Ability to function on multi-disciplinary teams.
• PO7: Engineering Practices: Apply engineering knowledge for sustainable development.
• PO8: Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
• PO9: Communication: Communicate effectively, both orally and in writing.
• PO10: Life-long Learning: Engage in self-learning to keep pace with technology.

PROGRAM EDUCATIONAL OBJECTIVES (PEO’s)

• To prepare the students for successful careers in software industry.
• To develop the ability among the students to analyze data and technical concepts for software design and development.
• To provide opportunity for students to work as part of teams on the forefront areas.
• Graduates will be prepared for a successful career in Artificial Intelligence discipline and related industry to meet the needs of the nation and leading industries and also to excel in Postgraduate programs.
• To provide the students to be successful in gaining admission to a postgraduate program and obtaining their desired degree.
• To motivate the students to serve the society in a better and meaningful way by applying technical knowledge.
• Graduates will continue to learn and apply the acquired knowledge to solve engineering problems and appreciation of the arts, humanities and social sciences.
• Graduates will understand professional and ethical responsibility, develop leadership, utilize membership opportunities, develop effective communication skills, teamwork skills, multidisciplinary approach and life-long learning required for a successful professional career.

PROGRAM SPECIFIC OUTCOMES (PSOs)

PSOs are specific to the specialization of AI and ML, focusing on practical applications and intelligent system development.

• PSO1: Ability to apply AI/ML concepts and algorithms to solve real-world problems.
• PSO2: Competence in using Python, data analysis, and modern AI tools for developing intelligent systems.

COURSE OUTCOMES (COs)

COs are specific to each subject and define what a student learns in that particular course.

• Fundamental Knowledge: Define various terms in Artificial Intelligence.
• Programming Skill: Develop programs in Python using basic constructs, data structures, and algorithms.
• AI Implementation: Design and implement Machine Learning models for classification and regression tasks.