Akademik Dersler - Tanıtım


Code - Course Title	BİL623 - Advanced Engineering Mathematics
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ CAHİT PERKGÖZ
Mode of Delivery	Face to face
Prerequisites	None
Courses Recomended	None
Required or Recommended Resources	Matrix Analysis and Applied Linear Algebra, SIAM, Carl D. Meyer, 2010Signals and Systems, Prentice Hall, Alan V. Oppenheim, Alan S. Willsky, 1996Computational Bayesian Statistics, An Introduction, Cambridge University Press, M. A. A. Turkman, C. D. Paulino, P. Müller, 2019
Recommended Reading List	None
Assessment methods and criteria	2 Midterm exams, 1 Final exam, 1 Homework assignment and 4 Quizzes.
Work Placement	Not applicable
Sustainability Development Goals

Weeks	Topics
Week - 1	Linear Equations, Laplace Transforms
Week - 2	Rectangular Systems and Echelon Forms
Week - 3	Matrix Algebra
Week - 4	Vector Spaces
Week - 5	Norms, Inner Products, and Orthogonality
Week - 6	Gram-Schmidt Procedure
Week - 7	Discrete Time Signals, Fourier Analysis
Week - 8	Fourier Transforms
Week - 9	Time Frequency Analysis, Z-Transforms and Filters
Week - 10	Determinants
Week - 11	Eigen values, Eigenvectors
Week - 12	Probability
Week - 13	Bayesian Learning Methods, Markov Chain, Monte Carlo Method
Week - 14	Optimization Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100