Machine Learning & Biostatistics Hackathon 2020

Section outline

• Select section General

  General

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• Select section Useful links and resources

  Useful links and resources

  • Select activity Biostatistics and Machine Learning Lesson Hackathon - GitHub page

    

    Biostatistics and Machine Learning Lesson Hackathon - GitHub page URL
  • Select activity 12 Decisions to run an online Hackathon

    

    12 Decisions to run an online Hackathon URL
  • Select activity Collaborative note-taking using HackMD

    

    Collaborative note-taking using HackMD URL
  • Select activity Markdown cheatsheet

    

    Markdown cheatsheet URL
• Select section Workshop materials

  Workshop materials

  • Select activity Introduction to Machine Learning - SIB

    

    Introduction to Machine Learning - SIB URL
  • Select activity BC2 Introduction to Machine Learning

    

    BC2 Introduction to Machine Learning URL
  • Select activity An Introduction to Machine learning - S. Prabakaran

    

    An Introduction to Machine learning - S. Prabakaran URL
  • Select activity Introduction to Probability and Statistics for Engineers

    

    Introduction to Probability and Statistics for Engineers URL
  • Select activity Galaxy Training Material on Statistics and Machine Learning

    

    Galaxy Training Material on Statistics and Machine Learning URL
  • Select activity Cambridge Coding Academy - GitHub page

    

    Cambridge Coding Academy - GitHub page URL
  • Select activity Cambridge Bioinformatics Training - GitHub

    

    Cambridge Bioinformatics Training - GitHub URL
  • Select activity Basic Statistics and Data Handling

    

    Basic Statistics and Data Handling URL
  • Select activity ESCI Web Dances

    

    ESCI Web Dances URL
  • Select activity Seeing Theory

    

    Seeing Theory URL
• Select section Lesson templates

  Lesson templates

  • Select activity The Turing Way

    

    The Turing Way URL

    Notes: Uses JupyterBook, in GitHub looks like this.

  • Select activity The Carpentries Template

    

    The Carpentries Template URL

    Notes: Custom created template.

  • Select activity The Open Science Training Handbook

    

    The Open Science Training Handbook URL

    • Notes: Based on Gitbook

  • Select activity Open Science - Open Data - Open Source (P. Fernandes)

    

    Open Science - Open Data - Open Source (P. Fernandes) URL

    • Notes: Based on Gitbook

  • Select activity Other? (EG jekyll templates)

    Other? (EG jekyll templates)

• Select section Curriculum Development

  Curriculum Development

  Reverse Instructional Design

  • based on research summarised in The Carpentries Instructor Training
  • determine target audience
  • determine practical skill(s) they need to learn
  • create concept maps to guide curriculum design
  • design exercises to assess learner progress towards objectives*
  • write connecting material*

  * It's not expected to reach this point during day #1
• Select section Learner's Profiles

  Learner's Profiles

  • Select activity The Carpentries Instructor Training Curriculum

    

    The Carpentries Instructor Training Curriculum URL
  • Select activity Learner Profile Example (from Carpentries Instruct...

    Learner Profile Example (from Carpentries Instructor Training Curriculum)

    João is an agricultural engineer doing his masters in soil physics. His programming experience is a first year programming course using C. He was never able to use this low-level programming in his activities, and never programmed after the first year.

    His work consists of evaluating physical properties of soil samples from different conditions. Some of the soil properties are measured by an automated device that sends logs in a text format to his machine. João has to open each file in Excel, crop the first and last quarters of data values, and calculate an average.

    Software Carpentry will show João how to write shell scripts to count the lines and crop the right range for each file, and how to use R to read these files and calculate the required statistics. It will also show him how to put his programs and files under version control so that he can re-run analyses and figure out which results may have been affected by changes.

    
    
• Select section Concept Maps

  Concept Maps

  • Select activity The Carpentries Concept Maps

    

    The Carpentries Concept Maps URL
  • Select activity ML-Hackathon-Concept-Maps (Google Slides presentation for the hackathon)

    

    ML-Hackathon-Concept-Maps (Google Slides presentation for the hackathon) URL

    Create your slides here.
    
• Select section Learning Objectives and Outcomes

  Learning Objectives and Outcomes

  • Select activity Teaching Tech Together handbook - objectives and outcomes

    

    Teaching Tech Together handbook - objectives and outcomes URL
  • Select activity A learning objective is what a lesson strives to a...

    A learning objective is what a lesson strives to achieve. A learning outcome is what it actually achieves, i.e. what learners actually take away. The role of summative assessment is therefore to compare learning outcomes with learning objectives.