PEOs

PEO 1: To produce graduates with a strong foundation in the principles and practices of artificial intelligence and machine learning, equipped with the skills to analyze, design, and implement intelligent systems.

PEO 2: To prepare graduates for successful careers in the rapidly evolving field of AI and machine learning by ensuring they possess practical skills, problem-solving abilities, and adaptability to emerging technologies.

PEO 3: To instill a sense of ethics and responsibility in graduates, emphasizing the importance of considering ethical implications and societal impact in the development and deployment of AI and machine learning solutions.

PSOs

PSO 1: To learn the basic concepts of Artificial Intelligence and Machine Learning and to apply them to various areas like Computer Vision, Product Recommendations, Natural Language Processing, IoT etc. 

PSO 2: To understand, analyze and develop essential proficiency in terms of underlying statistical and computational principles of Artificial Intelligence and Machine Learning and apply the knowledge to solve practical problems.

PSO 3: To apply the concepts of Artificial Intelligence and Machine Learning with practical knowledge in analysis, design and development of intelligent systems and applications to multi-disciplinary problems.

Program Outcomes (POs)

The graduates of Artificial Intelligence & Machine Learning will be able to:
01. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and Artificial Intelligence and Machine Learning specialization to the solution of complex engineering problems.
02. Problem analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
03. Design/development of solutions: Design solutions for complex engineering problems, design system components or processes that meet the specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
04. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
05. Modern tool usage: Create, select, and apply appropriate techniques, resources, modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
06. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
07. Environment and sustainability: Understand the impact of the professional engineering solutions in the societal and environmental contexts, and demonstrate the knowledge for sustainable development.
08. Ethics: Apply ethical principles and commit to professional responsibilities for better engineering practice.
09. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary surroundings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and society at large, to comprehend and write effective reports, design documentation, and make effective presentations, as per the guidelines.
11. Project management and finance: Demonstrate knowledge and understanding of engineering and management principles, apply these to one’s own work, as a member or leader in a team, to manage projects in multidisciplinary environments.
12. Lifelong learning: Recognize the need for preparation, engage in independent and lifelong learning in the broadest context of technological change.

 

• COURSE OUTCOMES

 

 

AY 2024-25

• AIML HoD attends FDP on ‘Algorithmic thinking with Python’
• Vidya top performers in KTU S4 B Tech results
• AIML Faculty Members attend Five-Day FDP on “Artificial Intelligence and Robotics”
• AI ML Dept organizes Value Added Course on ‘Machine Learning Tools in Python
• AI ML Dept organizes Value Added Course on ‘Python Programming : An Industrial Perspective’
• AIML Dept observes Environment Day with Green Tech Idea Hackathon for a sustainable future

 

AY 2023-24

• AIML faculty member presents paper in the National Conference on Recent Innovations in Computer and Information Technology (RICIT 24)
• AIML faculty member presents paper in the National Conference on Recent Innovations in Computer and Information Technology (RICIT 24)
• Parent Teacher (PT) Meeting
• AIML Dept hosts Achievers’ Day 2023-24
• AIML S4 students witness the boundless possibilities of AI Engineering with valuable insights during their Industrial Visit
• Learning Japanese language – An awareness talk
• Vidya Top perfomers in Third Semester B Tech Examinations
• Vice Principal attends 5 days FDP on “Outcome Based Education and Application of Generative AI in Teaching and Research”
• Vice Principal attends 5 days FDP on “Outcome Based Education and Application of Generative AI in Teaching and Research”Vice Principal and AIML Faculty member present research paper in the fourth National Conference on Recent Innovations in Computer and Information Technology (RICIT 24)
• AIML conducts Three-Day Online Faculty Development Program on Theoretical Foundations and Research Applications in Machine Learning and Deep Learning
• Vidya signs MoU with Cherpu Block Panchayath
• AIML Dept conducts workshop on “Machine Learning Using Python” for diploma students
• AIML Dept conducts value added course on ‘Programming Fundamentals Plus: Building Strong Foundations’
• AIML Dept conducts Industry Interaction with TCS : Technical Session on “AI : Trends and Predictions”

AY 2022-23

 

                                  

 

• AIML Dept bids Farewell to Ms Aparna S Balan – Embarking on a New Academic Journey

• AIML students mesmerize the audience with an array of activities during Dept Association Day 2023

• Pathways to Tomorrow: Vidya AIML students collaborate with Dr K P Unnikrishnan, an expert in Deep Learning and AI Innovations

• Onam celebration 2023 with the most grandiose manner with much zeal and panache

• AI ML Dept conducts add-on course on Programming Fundamentals Plus: Building Strong Foundations

• Vidya Top performers in first Semester B Tech ( 2022-26 Batch) Examinations

•  AI ML conducts webinar on ‘AI and Machine Learning Mastery: Pioneering Careers in the Future’

• Webinar “ChatGPT: Revolutionizing Conversational AI – Applications, Opportunities and Challenges”

• One day workshop on “Machine Learning using Python”

• Motivational and career talk on “How AI & ML will impact the future of career and daily life”

• Christmas Celebrations

• Inauguration of AIML department Association

• A talk on “Career opportunities in Artificial Intelligence & Machine Learning"

• AIML Dept Freshers day celebrations

• KTU 2024 Syllabus

S1S2 BTech (2024 )

• KTU 2019 Syllabus

S3 & S4 BTech

S5 & S7 BTech