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As part of Harvard Medical School's response to COVID-19, HMS Research Computing is now working remotely. All training classes will be held online until further notice, via Zoom meetings. |
Registrations are now managed through the Harvard Training Portal, which requires a Harvard ID (HUID). Those members of the extensive HMS community who do not currently have HUIDs - such as employees at affiliate hospitals, or collaborators from other institutions - may self-register for one as a "Person of Interest" with their faculty member's sponsorship. This form may take several days to process, and is available here:
https://iam.harvard.edu/files/iam/files/sponsored-identity-request-form_v1.pdf
Summer 2021 Part1 Registration is open!
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Class
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Date
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Time
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Location
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Seats
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Training Materials
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Registration (Only click here to register!)
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Intro to R/Bioconductor
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16-Jun-21
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3-5pm
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Virtual
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30
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Intro to MATLAB
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23-Jun-21
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3-5pm
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Virtual
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50
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Intro to Parallel Computing
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30-Jun-21
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3-5pm
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Virtual
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50
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No class
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7-Jul-21
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3-5pm
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Intro to O2
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14-Jul-21
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3-5pm
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Virtual
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30
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Intro to Git + GitHub
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21-Jul-21
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3-5pm
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Virtual
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30
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Intro to Python
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28-Jul-21
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3-5pm
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Virtual
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30
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Spring 2021 (Part 3) Registration is open!
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Medical Image Processing and Deep Learning with MATLAB
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MATLAB helps you gain insight into your image and video data, develop algorithms, and automate image analysis tasks. With just a few lines of MATLAB code, you can apply deep learning techniques and build deep learning models without having to be an expert.
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Join us for a complimentary 3-part webinar series and learn how to:
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Use new apps and features to simplify image data exploration, processing, visualization, and algorithm development
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Apply advanced computer vision techniques in biomedical imaging for object detection, tracking, and feature extraction
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Access the latest models from TensorFlow, Keras, Caffe, PyTorch, and other open-source frameworks using ONNX
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Accelerate your algorithms on NVIDIA® GPUs, clusters, and cloud resources
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Session 1: Medical Image Processing with MATLAB (May 13, 2021)
Session 2: Pixels to Models: Taking Medical Imaging to the Next Level (May 20, 2021)
Session 3: Deep Learning in Medical Imaging (May 27, 2021)
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To learn more about each session and register visit: https://www.mathworks.com/company/events/seminars/medical-image-processing-and-deep-learning-with-matlab.html
Spring 2021
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Class
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Date
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Time
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Location
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Seats
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Material
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(
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Part
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4/23/2021
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1-3p
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Virtual
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48
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R/Biostatistics Part II
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4/30/2021
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1-3p
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Virtual
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48
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R/Biostatistics Part III
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5/7/2021
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1-3p
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Virtual
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48
R/Biostatistics description:
The HMS Research Computing R Biostatistics course is a three-class, advanced instructional course covering the basics of RNA-seq analysis with Bioconductor and the R statistical programming language. Bioconductor provides tools for the analysis and comprehension of all types of high-throughput genomic data. Students should have a beginner's level of proficiency in R programming and an understanding of basic statistical principles before registering for the course.
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3
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Comprehensively commented R scripts are provided to the student (R Biostatistics Files), as the objective of the course is to learn common biostatistical methods used for RNA-Seq analysis. Students are strongly encouraged to use personal laptops for the course.
To be prepared for the classes, students are encouraged to download and install the latest versions of R and RStudio prior to the first class.
R - https://cran.r-project.org/
RStudio - https://rstudio.com/products/rstudio/download/#download
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) Registration is open!
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MATLAB & Simulink Spring 2021 Webinar Series
Please join us for the following spring series of live webinars. We hope you find the information helpful for both teaching and research activities. The series is open to all faculty, researchers and students. We look forward to your attendance.
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Date
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Venue
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February 3rd
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Introduction to MATLAB
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February 17th
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Using MATLAB with Python
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March 3rd
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21 MATLAB Features You Need Now
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March 24th
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Machine Learning with MATLAB
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April 7th
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Systems Modeling and Controls with Simulink & Simscape
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April 21st
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What’s New in MATLAB for Research
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May 5th
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Class | Date | Time | Location | Seats | Training Materials | Registration (Only click here to register!) |
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Intro to O2 | Wednesday, February 3, 2021 | 3-5pm | Virtual | 30 | ||
Intro to Python | Wednesday, February 10, 2021 | 3-5pm | Virtual | 30 | ||
No class | Wednesday, February 17, 2021 | |||||
Intro to Matlab | Wednesday, February 24, 2021 | 3-5pm | Virtual | 50 | ||
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Intro to Git + Github | Wednesday, March 10, 2021 | 3-5pm | Virtual | 30 | ||
No class | Wednesday, March 17, 2021 | |||||
Intermediate O2 | Wednesday, March 24, 2021 | 3-5pm | Virtual | 30 | ||
Intro to Python | Wednesday, March 31, 2021 | 3-5pm | Virtual | 30 | ||
Intro to Parallel Computing | Wednesday, April 7, 2021 | 3-5pm | Virtual | 50 | ||
Intro to R | Wednesday, April 14, 2021 | 3-5pm | Virtual | 30 | ||
Intro to O2 | Wednesday, April 21, 2021 | 3-5pm | Virtual | 30 | ||
No class | Wednesday, April 28, 2021 | |||||
No class | Wednesday, May 5, 2021 | |||||
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Intro to R | Wednesday, May 26, 2021 | 3-5pm | Virtual | 30 | ||
Intro to O2 | Wednesday, June 2, 2021 | 3-5pm | Virtual | 30 | ||
Introduction to Globus Data Transfer and Data Collaboration on O2 | Wednesday, June 9, 2021 | 3-5pm | Virtual | 30 |
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This is a short introduction to Parallel Computing that will include an overview of the basic concepts of parallel programming: from running your job in an embarrassingly parallel way to writing simple shared and distributed memory parallelization codes in different languages. The seminar will cover several examples of actual parallel codes however it will not have any "hands on" components. A basic programming experience (of any language, no parallelization) is preferred in order to better follow the topics presented during the seminar.
Intermediate O2
Intermediate O2 is for current O2 users who would like to brush up on their bash skills, learn more advanced file transfer techniques, and unleash some of the powerful features of the SLURM scheduler.
Intro to Git and GitHub
This course introduces Git and GitHub and covers topics including: Getting Started with Git for version control, Using GitHub Desktop effectively, Collaborating with others on GitHub, and Utilizing GitHub Flow for better workflow. No previous exposure is assumed. We hope attendees will leave the class with the knowledge and tools necessary to start integrating Git into their workflows and excited to begin collaborating on GitHub.
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