SRISHTI Club, Department of Civil Engineering, MVJCE, organized an event ‘Low Budget Ecological Analysis’, on 4th February, 2023. The main objective of this event was to encourage students to look beyond their textual knowledge and co-relate the theories they learn in the classroom with the application of these learnt concepts. The event was conducted in the Drawing Hall. Around 20 students and all the faculty members from the Civil Engineering department, participated.
Event Coordinators:
- Mr. Sagar C P, Assistant Professor, Department of Civil Engineering
- Ms. Asra Fathima, Assistant Professor, Department of Civil Engineering
The Event comprised two rounds.
ROUND 1: Model Making by the students, using low budget ecological materials (08.00 am – 10.00 am)
The students were divided into teams, with a maximum of four students in each team. They were told to prepare a model using low budget ecological materials.
ROUND 2: Presentation by the students on ‘Low Budget Ecological Analysis’ (10:00 am – 12:00 noon)
The students presented their models to the Chief Guest Mr. R L Varadaraju, Design Engineer, BMRCL, Bangalore.
Announcement of Result (12:10 pm – 01:10 pm)
The Chief Guest gave the Keynote Address, after which the results were announced.
RULES AND INSTRUCTIONS
- Those who get the maximum score will be placed higher in the rank list.
- The decision of the organizers with respect to the results will be final.No queries in this regard will be entertained.
- Any participant found to be indulging in any form of malpractice will be immediately disqualified.
WINNERS:
FIRST PRIZE
- Omkar H (USN-1MJ21CV014)
- Jeevan (1MJ21CV008)
- Sidhabasava (1MJ21CV019)
- Harshith R (1MJ21CV005)
SECOND PRIZE
- Iqra Mushtaq (USN-1MJ21CV007)
- FazilJavud Dar (USN-1MJ22CV225)
- Mansoor Hussain M (USN-1MJ21CV012)
- Vintha Vinay (USN-1MJ21CV023)
OUTCOME OF THE EVENT
The event helped to foster a healthy interaction among participants. It helped them to learn about Low budget Ecological Analysis. It kindled their ideas, and prompted them to deliver models with ecological relevance, through knowledge, skills and professional expertise.