config.yaml

#------------------------------------------------------------
# Values for this lesson.
#------------------------------------------------------------

# Which carpentry is this (swc, dc, lc, or cp)?
# swc: Software Carpentry
# dc: Data Carpentry
# lc: Library Carpentry
# cp: Carpentries (to use for instructor training for instance)
# incubator: The Carpentries Incubator
carpentry: 'university_of_sheffield'

# Overall title for pages.
title: 'Introduction to Matlab 1'

# Date the lesson was created (YYYY-MM-DD, this is empty by default)
created: '2024-09-12'

# Comma-separated list of keywords for the lesson
keywords: 'matlab, data, introduction'

# Life cycle stage of the lesson
# possible values: pre-alpha, alpha, beta, stable
life_cycle: 'pre-alpha'

# License of the lesson materials (recommended CC-BY 4.0)
license: 'CC-BY 4.0'

# Link to the source repository for this lesson
source: 'https://github.com/christopher-wild/Matlab_Course_101'

# Default branch of your lesson
branch: 'main'

# Who to contact if there are any issues
contact: 'research-it@sheffield.ac.uk'

# Navigation ------------------------------------------------
#
# Use the following menu items to specify the order of
# individual pages in each dropdown section. Leave blank to
# include all pages in the folder.
#
# Example -------------
#
# episodes:
# - introduction.md
# - first-steps.md
#
# learners:
# - setup.md
#
# instructors:
# - instructor-notes.md
#
# profiles:
# - one-learner.md
# - another-learner.md

# Order of episodes in your lesson
episodes:
- what-is-matlab.md
- matlab-layout.md
- creating-variables.md
- working-with-variables.md

# Information for Learners
learners:

# Information for Instructors
instructors:

# Learner Profiles
profiles:

# Customisation ---------------------------------------------
#
# This space below is where custom yaml items (e.g. pinning
# sandpaper and varnish versions) should live


carpentry_description: Learning MATLAB is a valuable asset for enhancing research
  due to its specialised capabilities for data analysis, numerical simulation, and
  algorithm development. Proficiency in MATLAB equips researchers with a versatile
  skill set applicable across disciplines, fostering innovation and efficient problem-solving.
  Its industry relevance also opens doors to diverse career opportunities.
varnish: RSE-Sheffield/uos-varnish