HI 5312 Foundations of Health Information Sciences III

This course provides a broad and practical introduction to the major information processing techniques employed in all areas of health informatics: fundamentals of signals and system, frequency domain and spectral analysis, digital signal processing, pattern classification/recognition, neural networks, cluster analysis, machine learning, graphics and scientific visualization, data filtering, image processing, and linear/nonlinear modeling. The course will be useful for graduate students in health informatics who wish to obtain a broad overview of both quantitative and qualitative algorithms useful in the acquisition, management, processing, and display of health informatics and biomedical data.

Topics

Signal and (Linear) System Basics/Review

Frequency Representation/Spectral Analysis/Filtering

Applications and Implementation

Nonlinear System Analysis and Modeling

Fundamentals of Machine Learning

Classification and Prediction

Cluster Analysis

Image Processing Basics - Acquisition, Display,  Convolution, Filters, Compression

Image Processing Applications - Biophysical and Biomedical Data

Computer Graphics

Scientific Visualization

Immersive Visualization and Haptic Rendering

Information Visualization (Graphs, Non-Photorealistic)

Prerequisites

Foundations of Health ITopicsnformation Science II or consent of the instructor