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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    Single-Cell Sequencing: Experimental Design, Analysis, and Practical Applications

    Semester: 

    Spring

    Offered: 

    2019

    Single-cell sequencing technologies allow us to study genomes and transcriptomes at the single cell level. These relatively new techniques have expanded our knowledge in a wide range of fields from microbiology to development and cancer biology. This course will provide a general introduction to both RNA and DNA-based single-cell sequencing. We will start with a broad overview of RNA-sequencing in single cells with an emphasis on current and emerging technologies. Subsequent lectures will focus on experimental design for single-cell experiments and common approaches to data analysis....

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    Optics and Light Microscopy for Life Sciences: Introduction

    Semester: 

    Spring

    Offered: 

    2019

    Light microscopy is a key component of life science research. Many systems are available on the HMS quad to image samples from the nanometric to the macroscopic scale, whether the samples are live or fixed, fluorescent or stained.
    This nanocourse aims at refreshing the fundamentals of light and optics, explains the various components of microscopes and basic software controls in order to acquire the best image. We will also discuss the strengths and weaknesses of common microscopes to help you choose the right modality for your experiments.
    In the workshop, we will dissect a...

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    Graduate TA Training in the Biomedical Sciences

    Semester: 

    Spring

    Offered: 

    2020

    This course is an introduction to the skills and frameworks necessary for success as a graduate student teaching assistant (TA). After completing this 6 hour introduction, students will be able to:

    - describe core pedagogy concepts including backwards design, formative assessment, active learning, alignment, and inclusive teaching
    - identify ways these core concepts may influence their work as graduate student TAs
    - demonstrate the ability to apply these concepts to their expected teaching and course-related responsibilities
    - identify classroom management and...

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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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    Toxicity of Cancer Therapy - Lessons from Metabolomics

    Semester: 

    Spring

    Offered: 

    2020

    Course Description and Assignments
    Chemotherapy is the cornerstone of modern cancer therapy and is an effective treatment, but is often accompanied by toxicity. In this course we will discuss current chemotherapies and their drawbacks, and we will learn about cutting edge advances in cancer treatment and future goals for the field. We will focus on brain toxicity following chemotherapy, a common condition that influences...

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    Public Health 101 Series: Introduction to Public Health

    Semester: 

    Spring

    Offered: 

    2020

    Course Description:

    This nancourse will introduce students, researchers, and healthcare providers to Public Health as a field of research and as an approach to framing and addressing health challenges. As noted in the Harvard T.H. Chan School of Public Health’s mission statement, Public Health is an inherently multidisciplinary field, drawing on skills and knowledge across the biological, quantitative, and social sciences. Through...

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    Homelessness and Health - Lessons from Health Care, Public Health, and Research (online course; part of the Public Health 101 Series)

    Semester: 

    Spring

    Offered: 

    2020

    Course description

    Homelessness in the United States (U.S.) is a complex issue intersecting health, public health, policy as well as other aspects of society. Examine the fundamentals of health and innovative research outcomes among homeless populations. Identify unique health issues, health care responses, social needs, and strategies for incorporating trauma-informed care into practice with respect to...

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    Microscopy Measurements: Considerations for accurate and precise quantitative microscopy

    Semester: 

    Spring

    Offered: 

    2020

    Course Description

    Fluorescence microscopy can be a very powerful tool for making quantitative spatial and intensity measurements . However, sources of error and imprecision are inherent in every modality of light microscopy and digital image acquisition, and can lead to inaccurate conclusions if left unaddressed. In this nanocourse, we will discuss common sources of inaccuracy and imprecision in quantitative microscopy, and how to identify and address them. In the virtual laboratory exercises, you will learn how to estimate signal-to-noise ratio and...

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    Graduate TF Training in the Biomedical Sciences

    Semester: 

    Spring

    Offered: 

    2021

    This course is an introduction to the skills and frameworks necessary for success as a graduate student teaching fellow (TF). After completing this 6 hour introduction, students will be able to:

    - describe core pedagogy concepts including backwards design, formative assessment, active learning, alignment, and inclusive teaching
    - identify ways these core concepts may influence their work as graduate student TAs
    - demonstrate the ability to apply these concepts to their expected teaching and course-related responsibilities
    - identify classroom management and...

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    Tools & Strategies For Getting Your Manuscript Published

    Semester: 

    Summer

    Offered: 

    2021

     

    In order to get a manuscript published, it’s key to learn the framework of the process, build skills in writing, and find a community of peer editors who can help you catch errors and develop effective ways to articulate the importance of your research. In this Nanocourse, Dr. Marie Bao (BCMP, Harvard Medical School; former Editor-In-Chief of Developmental Cell)...

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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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