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CodeRefinery workshop

CodeRefinery workshop

The main focus is on using Git for efficiently writing, maintaining research software, and practices for scientific software development.

Course Description

In this course, you will become familiar with tools and best practices for scientific software development. This course will not teach a programming language, but we teach the tools you need to do programming well and avoid common inefficiency traps. The tools we teach are practically a requirement for any scientist that has to do their own programming. The main focus is on using Git for efficiently writing and maintaining research software.

This is an informal and interactive event with type-along lessons, live coding, and exercises. Learners are divided into exercise teams for interactivity - register with a friend!

The course will cover: Introduction to version control with Git, collaborative distributed version control, FAIR data, social coding and open software, Jupyter, documentation, software testing, and modular code development.

More information can be found here

Study Characteristics

  • CodeRefinery workshop

    Course Description

    In this course, you will become familiar with tools and best practices for scientific software development. This course will not teach a programming language, but we teach the tools you need to do programming well and avoid common inefficiency traps. The tools we teach are practically a requirement for any scientist that has to do their own programming. The main focus is on using Git for efficiently writing and maintaining research software.

    This is an informal and interactive event with type-along lessons, live coding, and exercises. Learners are divided into exercise teams for interactivity - register with a friend!

    The course will cover: Introduction to version control with Git, collaborative distributed version control, FAIR data, social coding and open software, Jupyter, documentation, software testing, and modular code development.

    More information can be found here

    Study Characteristics

    • Language: English
    • ECTS: 1
    • Start date: 21:03:2023
    • End date: 30:03:2023
    • Self paced: no
    • Available to: PhD students VU |  Academic staff VU  |  All VU employees
    • Graduate school: all
    • Discipline: all
    • Minimum number of students: 5
    • Maximum number of students: 20
    • External course: https://coderefinery.github.io/2023-03-21-workshop/
    • Total course duration in hrs.: 28
    • Number of lessons: 8 (version control with Git, collaborative distributed version control, FAIR data, social coding and open software, Jupyter, documentation, software testing, and modular code development)
    • Anticipated hours of study: no additional study besides course itself
    • Sign up period: (09:02:2023) – (14:03:2023)
    • Admission criteria: Module 2 is advised for PhD candidates using qualitative research methods or a combination of qualitative and quantitative methods. Module 1: for Quantitative researchers, TBA
    • Concluding assessment: No
    • With Certificate: no
    • Email for more information: m.vermaas@vu.nl, s.van.de.sandt@vu.nl
    • Roster/schedule info:

    Day 1 (Tue, Sep 21)

    Day 2 (Wed, Sep 22)

    Day 3 (Thu, Sep 23)

    Day 4 (Tue, Sep 28)

    Day 5 (Wed, Sep 29)

    • 8:50 - 9:00 connecting time, icebreaker
    • 9:00 - 10:45 Jupyter (TBA)
    • 10:45 - 12:30 Documentation (TBA)

    Day 6 (Thu, Sep 30)

    12:15 - 12:30 Concluding remarks and where to go from here (TBA)

M. Vermaas, S. van de Sandt

m.vermaas@vu.nl, s.van.de.sandt@vu.nl

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