Outcome-Based Education (OBE):

• Clearly define and map Course Outcomes (COs), Program Outcomes (POs), and Program Specific Outcomes (PSOs).
• Regularly assess and analyze CO-PO attainment to improve teaching strategies.

Curriculum Design and Revision:

• Periodically update the syllabus to include emerging topics such as Data Science, Optimization, and Mathematical Modeling.

ICT-enabled Teaching:

• Use smart classrooms and digital tools like SageMath.
• Implement Learning Management Systems (LMS) such as Google Classroom.

Mathematical Software Labs:

• Incorporate hands-on lab sessions using Python based Sage Mathand  R for applied mathematics.

Mentoring System:

• Assign faculty mentors to student groups for academic and career guidance.

Research Publications:

• Promote research by publishing in reputed journals.
• Collaborate with engineering departments on projects involving control systems, AI, fluid mechanics, etc.

Industry-Institute Interaction:

• Invite industry experts for guest lectures and workshops.

Feedback Mechanisms:

• Regularly collect feedback from students and alumni to improve course content and delivery.