About Amal Jyothi
Amal Jyothi College of Engineering has established itself as a benchmark of excellence in technical higher education and research. Founded in 2001 by the Catholic Diocese of Kanjirapally, Amal Jyothi is approved by the AICTE and affiliated to APJ Abdul Kalam Technological University (KTU), Kerala. It is the first new generation engineering college in Kerala with the prestigious NBA accredited departments and the first engineering college in Kerala with the recognition of ‘A’ grade from NAAC.
About MCA Dept.
The Department of Computer Applications since its inception in 2009 has been an exemplar of academic excellence. The Department is bestowed with an excellent team of faculty members pursuing excellence in delivery of academics with proficiency in latest technologies. Inculcating concept-oriented subject knowledge through a holistic learning environment supplement has unfailingly delivered world-class talent and created the finest software professionals to be industry ready. The Department has always been in forefront to organize training programmes in current technologies. The courses offered include MCA with an intake of 120 and MCA Integrated with an intake of 60.
About the FDP
This FDP instigates academicians to the core concepts of Nature Inspired Machine Learning Techniques which can promote the research activities and innovation perspective. This perspective will further assist the faculties to promote new optimization concepts to the students and in turn further encourage students to take up research as their future endeavours.
Target Groups
This FDP is interdisciplinary and open to all faculty members from engineering colleges affiliated to APJ Abdul Kalam Technological University, Kerala.
Objectives
Nature-inspired algorithms are a set of novel problem-solving methodologies and approaches derived from natural processes.
- To dive into the principles of Nature-inspired computations which are commonly recognized optimization techniques to instantiate the research related activities in faculties.
- To delve into the optimal solutions to a wide spectrum of computational problems provided by the Nature-Inspired Machine Learning techniques.
- Faculty should be able to deliver relevant insights of these techniques to the students as well for solving complex problem situations.
- To motivate faculty to appreciate Nature-inspired algorithms as a novel problem-solving approach which is derived from natural processes.