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Internship Curriculum |
A training curriculum for the Internship program at ICIPE. |
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{%capture curriculum%}
- Onboarding and general overview of MBBU
- Introduction to collaborative documents - Slack
- Introduction to GitHub
- Purpose roadmap, objectives and goals
- Data management and reproducible tools
- Introduction to Unix
- Shell Scripting and Personality & Motivation
- Intro to Bioinformatics and Leadership/Leadeship attributes/LeadershipStyles
- Intro to NGS: Sequencing and file formats
- Git on the commandline and Communication and presentation skills
- Python scripting
- Introduction to Python and Reproducible research tools (Miniconda, Jupyter and Rmarkdown)
- More python
- More python
- Interns presentation on a topic of interest and Feedback and conflict resolution
- Nextflow, Singularity & Docker and Career planning and peer mentoring
- Nextflow & Docker
- Nextflow & Docker
- Phylogenetics
- Introduction to HPC
- Intro to R
- Introduction to Data Science and Machine Learning
- Introduction to Data Science and Machine Learning
- Introduction to Data Science and Machine Learning
- Soft Skills:
- Cover letter (motivation) and CV writing: make a mock application to EANBiT
- Presentation skills
- Mock interview
Work on reproducing a paper
The interns will be assigned to a range of mini projects which the will work on to build on different skills acquired from week 1 to week 7.
- The interns will be expected to attend other adhoc trainings organized by MBBU or other organization which are deemed important for their growth.
- The interns will self organize every day stand up meeting and make a presentation of a new concept learned within the Bioinformatics space.
- The interns will be expected to participate in journal club and Monday morning meetings.
- There shall be a code/progress review every Friday of the week.
- The interns will be expected to write a mid-internship and end of intership reports documenting their journey.
- Pre Internship Survey
- Post Internship Survey
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{{curriculum | markdownify }}