Hindu College of Engineering & Technology

Approved by AICTE, New Delhi, Affiliated to JNTUK & APSBTET

హిందూ కాలేజ్ ఆఫ్ ఇంజనీరింగ్ అండ్ టెక్నాలజీ


VISION

The Artificial Intelligence and Machine Learning (AI&ML) department aspires to establish an innovative and vibrant educational environment, providing students with the tools and inspiration needed to achieve their professional goals and address global challenges in the dynamic field of AI&ML.


MISSION
  •  In-depth knowledge of Artificial Intelligence and Machine Learning to effectively tackle real-world problems.
  •   Proficient skills and ethical conduct to demonstrate a strong code of professional practice in the ever-evolving AI&ML industry.

Program Outcomes (PO)

PO1:

Apply mathematical and computational principles to solve intricate problems in artificial intelligence and machine learning.

PO2:

Formulate and analyze complex problems in the field using foundational principles, research literature, and modern tools

PO3:

Design and implement effective solutions, considering ethical, cultural, societal, and environmental aspects.

PO4:

Use research-based knowledge and methodologies, including experimental design and data analysis, to derive valid conclusions.       

PO5:

 Apply appropriate techniques, resources, and modern engineering and IT tools for predictive modeling and complex AI&ML activities.

PO6:

Evaluate societal, health, safety, legal, and cultural implications, demonstrating responsibility in professional AI&ML practice.

PO7:

Understand the societal and environmental impact of AI&ML solutions, recognizing the importance of sustainable development.

PO8:

Uphold ethical principles, demonstrating commitment to professional ethics and responsibilities in AI&ML practice.

PO9:

Collaborate effectively as an individual and in diverse teams, including multidisciplinary settings.

PO10:

Communicate proficiently on complex AI&ML topics with the engineering community and society at large.

PO11:

Apply knowledge of engineering and management principles to effectively lead and contribute to AI&ML projects.

PO12:

Demonstrate an ability to stay updated with emerging trends and technologies in AI and ML, and exhibit adaptability to evolving industry requirements.


Program Specific Outcomes (PSO)

PSO1:

Develop and implement advanced algorithms for machine learning and artificial intelligence to address industry and societal needs.  

PSO2:

Integrate and apply cutting-edge technologies in the field of artificial intelligence and machine learning to create innovative solutions.


Program Educational Objectives (PEO)

PEO1:

Graduates will possess a solid foundation in the principles and practices of artificial intelligence and machine learning, covering mathematics, science, and basic engineering.

PEO2:

Graduates will showcase innovation, designing and implementing AI&ML solutions to meet industry demands.

PEO3:

Graduates will be well-equipped for careers in the AI&ML industry or pursue higher studies, consistently enhancing their knowledge through continuous learning.

PEO4:

Graduates will demonstrate ethical conduct, integrity, leadership qualities, and a strong sense of social responsibility while practicing AI&ML engineering.