Courses

Our lab offers the following courses as a part of the Biomedical Engineering Graduate Program at Bogazici University.

BM 503 Basic Mathematics for Biomedicine

Matrix Calculus. Probability Calculus. Multivariate Random Variables. Estimation Theory. Expectation Maximization Algorithm. Variational Bayes Algorithm, Sampling Methods, Hidden Markov Models.

COURSE SYLLABUS
Lecture Notes
[1] MATRIX CALCULUS
[2] AXIOMS OF PROBABILITY
[3] CONDITIONAL PROBABILITY
[4] RANDOM VARIABLES
[5] MULTIVARIATE DISTRIBUTIONS
[6] ESTIMATION
[7] SAMPLING METHODS
[8] EXPECTATION MAXIMIZATION
[9] VARIATIONAL BAYES
[10] HIDDEN MARKOV MODELS

BM 536 Principles of Neuroimaging

Overview of the Statistical Parameter Mapping and Neuroimaging. General Linear Models. Contrasts and Classical Inference. Analysis of Variance.  Thresholding for SPM. Classical and Bayesian Estimation.  Hierarchical Models. Restricted Maximum Likelihood Algorithm. EEG Source Reconstruction. Preprocessing Algorithms of SPM.

COURSE SYLLABUS
Lecture Notes
[1] Overview of Brain Imaging
[2] Matrix Calculus
[3] Probability Calculus
[4] General Linear Model
[5] Contrasts
[6] Thresholding
[7] Hierarchical Models
[8] Restricted Maximum Likelihood Algorithm
[9] Expectation Maximization Algorithm
[10] Classical and Bayesian Inference
[11] Preprocessing Algorithms
[12] Segmentation Algorithms
[13] Bayesian Estimation of EEG Responses

BM 564 Biomedical Instrumentation and Measurement

Introduction to biomedical systems. Transducers and electrodes.  Biopotentials and amplifiers for ECG, EEG and EMG . Electrical safety. Measurement of biomedical parameters as pressure, volume and flow of blood.

COURSE SYLLABUS
Lecture Notes
[1] INTRODUCTION TO BIOMEDICAL DEVICE
[2] BASIC CONCEPTS
[3] AMPLIFIERS
[4] SENSORS
[5] BIOPOTENTIALS
[6] ELECTRODES
[7] BIOAMPLIFIERS
[8] BLOOD PRESSURE MEASUREMENTS
[9] FLOW AND VOLUME MEASUREMENTS
[10] BIOSENSORS
[11] RESPIRATORY MEASUREMENTS
[12] ELECTRICAL SAFETY
[13] AUDIOMETRY
[14] PACEMAKERS