Our lab offers the following courses as a part of the Biomedical Engineering Graduate Program at Bogazici University.
Complex Numbers. Linear Algebra and Matrices and Eigenvalues. Difference and Differential Equations. State Space Equations. Optimization. Monte Carlo Sampling.
Overview of the Statistical Parameter Mapping, Statistical modeling of functional Magnetic Resonance Imageing (fMRI) data; convolution models for fMRI, general linear model, Contrast vectors and classical inference, Hierarchical models.
Overview of probability, statistics and random processes. Signal Modeling: AR, ARMA, Prony Methods. Optimal filtering; Wiener and Kalman Approach. Spectrum Analysis.
An overview of C programming. Using the C libraries for the solution of linear systems, approximation and interpolation, integration, optimization, solution of ordinary and partial differential equations. Fundamentals of Object Oriented Programming. Class development for complex and matrix operations.