Through this course students become familiar with techniques for the processing of one-dimensional signals, focusing on quasi-periodic signals such as speech signals and heart signals. The first two meetings are dedicated to designing and implementing a speech compression system. The other two meeting are dedicated to the problem of heart beat rate estimation from PPG and ECG signals, using this data to diagnose heart condition.
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In this 4-meeting course, students acquire practical knowledge of different image processing techniques and use them for different tasks. During the course, students will apply their acquired knowledge to solve an open-ended task in image processing.
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In this 4-meeting course, students acquire practical knowledge of building, training and evaluating deep-learning networks of different types and to use them for with various applications, such as text and image classification and image generation.
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