Akademik Dersler - Tanıtım


Code - Course Title	UGM606 - Fuel Flow Rate Pre. Mod. and Opt.for Com.Air.
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	PROFESÖR DOKTOR TOLGA BAKLACIOĞLU
Mode of Delivery	The mode of delivery of this course is face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	It is suggested for students to have taken Aerodynamics, Theory of Flight, and Flight Performance courses.
Required or Recommended Resources	TTS (Total Training Support), Module 8 Basic AerodynamicsIntroduction to Flight John Anderson
Recommended Reading List
Assessment methods and criteria	Classic exam
Work Placement	Not Applicable
Sustainability Development Goals

Weeks	Topics
Week - 1	Fundamental equations of aircraft motion
Week - 2	Aircraft performance parameters; Study of climb, cruise, and descent phases
Week - 3	Jet engines; Thrust; Specific fuel consumption
Week - 4	Fuel flow rate prediction models in the current literature
Week - 5	Logarithmic derivatives of aircraft performance parameters; Classical optimization by Lagrange multipliers
Week - 6	Non-conventional optimization methods; Thrust modelling
Week - 7	Fuel flow rate prediction using genetic algorithms
Week - 8	Modelling of fuel flow rate by the use of artificial neural networks
Week - 9	Modelling of fuel flow rate by the use of artificial neural networks II
Week - 10	Fuel flow rate prediction using particle swarm optimization
Week - 11	Fuel flow rate prediction using particle swarm optimization II
Week - 12	Fuel flow rate prediction via cuckoo search algorithm
Week - 13	Fuel flow rate prediction via cuckoo search algorithm II
Week - 14	Farklı öğrenme algoritmaları kullanarak yapay sinir ağları yöntemi ile yakıt akış oranı tahmini modellemesi.

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0