Course Overview
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover an introduction to The Shell, Python and R. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover an introduction to The Shell, Python and R. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Intended Audience
UCT Computational Biology Honour’s cohort + anyone else from within UCT Health Sciences who may be interested
UCT Computational Biology Honour’s cohort + anyone else from within UCT Health Sciences who may be interested
Keywords: Carpentries, programming, coding, novice, R, Python, linux
Skill level of training:
Beginner
Language: English
Credential awarded: No credential awarded
Type of training: Online
Venue of the course: Online via Zoom; link will be communicated to those who are accepted.
Dates for the course:
Course organisers: H3ABioNet, Verena Ras, Lyndon Zass, Nicola Martin, Darren Martin
Participation: The course is available to anyone who meets the requirements.
Course Sponsors: H3ABioNet
Course objectives
Classroom applications
Registration for classrooms opens:
Thu, 01/01/1970
Registration for classrooms closes:
Thu, 01/01/1970
Notification date for successful classrooms:
Thu, 01/01/1970
Maximum number of participants that may be accepted per classroom will be
capped at
Participant applications
Registration for participants opens:
Thu, 01/01/1970
Registration for participants closes:
Thu, 01/01/1970
Participant registration link:
Syllabus and Tools
Please see workshop website: https://verena90.github.io/2022-03-14-online-UCT_Med/
Prerequisites
As this is presented at a novice level, no prerequisites are required but you will need to have access to a laptop where you are able to install the required software (R, Python, shell terminal). You will also need good internet access to ensure you are able to be online for the full course.
Course limitations
For more information, please visit
Training material availability
Training materials used for this course were not directly produced by H3ABioNet but may be accessed here: https://verena90.github.io/2022-03-14-online-UCT_Med/. Please note, these materials may be governed by different sharing/re-use policies, and you are encouraged to follow the policies of the external providers regarding material re-use and/or sharing.
