Classes

    Algorithmic Thinking: How you should be thinking about your data

    Semester: 

    Spring

    Offered: 

    2019

    The objective of this nanocourse is to encourage students to perform complex bioinformatic and data analysis questions in their own research with a modular and methodical approach. During the first day, students will learn what an algorithm is and be introduced to the concept of algorithmic thinking. Students will learn to take problems relevant to computational biology and craft solutions in the form of flowcharts and general pseudocode. On the second day, students will learn how to transform the flowcharts and general pseudocode into very specific pseudocode. In this second session,...

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    Deep Learning for Biomedical Image Analysis

    Semester: 

    Spring

    Offered: 

    2020

    Advances in the AI method of deep learning have the potential to transform how biomedical data is analyzed for research, clinical diagnosis and prognosis. This nanocourse will deliver information and allot guided practice so that anyone can apply the principles and algorithms of deep learning to process and analyze their own biomedical images. The purpose of the course is to deliver practical knowledge of deep learning for image analysis including possibilities, current limitations and challenges. Participants with and without programming experience are encouraged to attend!

    ...

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    Electronics and Signal Processing for Experimental Rigs

    Semester: 

    Spring

    Offered: 

    2021

    Course Director: John Assad

    Course Instructors: Ofer Mazor, Pavel Gorelik

     

    Course description:

    Biomedical researchers often use, or even building, experimental rigs consisting of several interconnected electronic instruments. These rigs are typically used to make high-quality recordings of weak biological signals. The goal of this course is to demystify the rig: What does each instrument do? How should they be connected? How does one troubleshoot noise, or adjust settings in a principled way...

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