Wednesday, September 24, 2025
Beyond Degrees
Report on Motivational Session by Mr. Sajan Pappachan
Venue: Conference Hall
Date: 19 September 2025
Time: 8:30 AM to 1:30 PM
Sunday, September 14, 2025
Outbound Training (OBT)
Report on Outbound Training (OBT)
Introduction
Objectives of the OBT
- To encourage creativity and innovation in problem-solving.
- To strengthen critical thinking and decision-making under challenging situations.
- To promote teamwork, communication, and leadership qualities.
- To develop resilience, confidence, and risk-handling capacity among students.
- To provide a platform for applying classroom knowledge to real-life scenarios.
Activities Conducted
1. Creativity Task – Chair Using Waste Materials
Outcomes of the Training
- Students demonstrated enhanced creativity and innovation through design-based activities.
- Experiential learning fostered critical thinking and logical reasoning.
- Physically and mentally challenging tasks like glass walking, fire walking, and rope crossing built self-confidence and resilience.
- Group activities encouraged teamwork, leadership, communication, and collaboration.
- The training created a spirit of adventure and adaptability, helping students to step out of their comfort zones.
Conclusion
Monday, September 1, 2025
Onam Celebrations 2025 at Marian College
Once again, the vibrant spirit of Onam, Kerala’s most cherished festival, is upon us, and this year promises to be extra special at Marian College Kuttikkanam.
The newly elected Marian College Students’ Council (MCSC) is all set to host “Kondattam 2025” on 27th August 2025 (Wednesday), bringing together a spectrum of cultural events, traditional festivities, and moments of joy that highlight the essence of unity and heritage.
The MCA department won first prize for Vadam Vali in both the boys' and girls' categories.
Congragulations
Congratulations on release of the book “Deep Learning and Reinforcement Learning”, authored by Mrs. Reny Jose. Artificial Intelligence has emerged as one of the most transformative technologies of our time, and at its heart lie Deep Learning and Reinforcement Learning. This book offers a comprehensive yet accessible approach to these advanced topics, bridging theory with practical insights.
It explores:
Core concepts of deep learning architectures
Fundamentals and applications of reinforcement learning
Real-world use cases and strategies in AI-driven systems
Analytical perspectives aligned with business, economics, and strategy
With a clear and structured presentation, this work will serve as an excellent resource for students, researchers, and professionals seeking to deepen their knowledge and apply AI in innovative ways.
https://www.amazon.in/dp/B0FNMH5914