Undergraduate Programme: Programme Educational Objectives

PEO 1: Graduates will be successful in careers in Computer Science discipline with the skills needed in the leading industries.


PEO 2: Graduates will continue to learn and apply the acquired knowledge to solve engineering problems with an integrated outlook of engineering, arts, humanities, and Sciences.


PEO 3: Graduates will have a broad scientific and engineering knowledge base so as to comprehend, analyse, design, and create novel products and solutions for real-time applications.


PEO 4: Graduates will understand professional and ethical responsibility in a multidisciplinary environment having leadership quality with communication skills and utilize membership opportunities.


Program Outcomes of AIML
  1. Apply the knowledge of mathematics, science and engineering fundamentals for complex problem solving in artificial intelligence.

  2. Identify, formulate, review literature, and analyze complex machine learning problems reaching ascertained conclusions with basic principles of mathematics, natural sciences andengineering sciences.

  3. Design and develop a system, component or process to meet desired needs within realistic constraints such as economic, environmental, social, cultural, ethical, health and safety, manufacturability, and sustainability.

  4. Recognize, formulates, and solve modern artificial intelligence problems, use machine learning methods effectively and build real-world AI systems involving automated reasoning, planning and decision making for solving application-specific complex problems.

  5. Create, conceive and develop cognitive algorithms and latest tools for getting insights of machine learning, deep learning methods and develop Intelligent multi-modal multi-sensory Man Machine interfaces

  6. Adhere to socially responsible solution providers and entrepreneurs in artificial intelligence and machine learning disciplines.

  7. Adopt the professional and ethical responsibility and adhere to evolving ethics and privacy laws across various governments and territories.

  8. Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, ethical and societal context and inculcate ethical principles and social responsibility.

  9. Apply skill based knowledge as an individual or with a team to solve contemporary issues andhands-on knowledge of state-of-the-art AI tools for real-world problem-solving.

  10. Explore engineering skills for development of real-time and robust AI-based systems with specific software, hardware and data requirements and communicate these effectively.

  11. Demonstrate suitable techniques, tools, resources of multi-disciplinary fields to build projects, solutions and explore fully immersive artificial intelligence world.

  12. Unify the knowledge of human cognition, AI, Machine Learning and data engineering for designing systems and recognition of the need for, and an ability to engage in life-long learning.



Program Specific Outcomes of AIML
  1. Apply evolutionary changes and intelligent methods of artificial intelligence, machine learning in software project development by using open-ended programming environments.

  2. Implement efficient algorithms for development of software applications to solve real world problems on the basis of data analytics, statistical interpretation that fosters the needs of future optimized solutions in artificial intelligence and machine learning.







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