Introduction to Project Period and Exam
You made it!
That was the first part of the course
A total of 9 labs of 4 hours + preparation covering the tidyverse toolbox
You’ve put in a lot of hours!
I know it has been intense!
But you made it - Well done!
Now for the key part of the course - Projects!
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Project Groups
You will be working in the groups assigned from the beginning of the course
IMPORTANT: All groups members are responsible for all parts of the project!
Note, completing the project is considered your exam preparation
Project as a Collaborative effort
As per the course description at the DTU course base: Active participation in the group work and timely submission of project and code base are both indispensable prerequisites for exam participation.
This means, that each group member is expected to:
- Generally participate actively in the group project
- Take responsibility for solving assigned tasks within the project
- Write and review code and perform commit-/push-/pulls to the project GitHub repository
- Meet and discuss actively with the group members
- Spend 9-10h per week on the project for the full 3 week project period
Bio Data Science is a collaborative effort, which is reflected in the design of the project module of this course!
Expected time usage
As per the rules for the European Credit Transfer System (ECTS) points:
-1 credit equals 28 hours - Therefore, for a 5-person group working for 3 weeks, the expected total project hours is ~150 - Setup your collaborative project and this will be more than sufficient to create a full bio data science project - Note, for lab 13, you workload will be a ~10min. presentation therefore the hours for this lab is included.
Project Description
Aim
The aim with the Project module of the course is to allow you to independently work with the course elements, you have been exposed to during the first 9 weeks of teaching. Here, you will synthesise the entire bio data science cycle, thereby internalising the course elements. Moreover, you are to:
- Use the tools you have learned in the course and “design and execute a bio data science project focusing on collaborative coding and reproducibility, incl. independently using online resources to seek information about application and technical details of state-of-the-art data science tools”
Recall the “Data Science Cycle”
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Project Requirements
Organisation
Your project must strictly adhere to the organisation illustrated below:
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Important: This entails, that the entire project as put on GitHub, can be cloned and then executed end-to-end
Project Requirements
Data
First and foremost, you must find a data set you can work with in the project!
It must be based on a bio data set
Start out as “dirty” i.e. a completely clean / tidy and analysis-ready data set will not allow you to demonstrate, that you have met the course learning objectives
It is advisable, that the data is of limited size, so you do not risk time waste due to long runtimes
Note, you should demonstrate ability to extract biological insights, but at the same time mind that the focus should be on demonstrating that you master the data science toolbox according to course aim and learning objectives
Remember, the process is the product!
Naturally, you cannot reuse the data we have worked with during the exercise labs
Project Requirements
Presentation
A 10-slides-in-10-mins presentation, possibly followed by a few questions
Follow the IMRAD standard scientific structure:
Introduction, Materials and Methods, Results And Discussion
With a technical focus, but minding to communicate which-ever biological insights you arrived at
Should not include all your code, but rather focus on the broader picture and include data summaries and visualisations
Created using Quarto Presentation, just as the course slides are
NOTE: This final presentation in HTML-format must be zipped and uploaded to DTU Learn before deadline, so we can check the GitHub version is identical
Project Supervision
As a point of reference, this project is part of the overall assessment and you will therefore have limited access to supervision
Think of the project, as a long take-home-assignment
I highly encourage the use of Piazza for questions, which will be monitored by the teaching team
Also, a rather comprehensive list of Project FAQ have been compiled, so be sure to check that out on the course site!
I recommend using your course Quarto documents for reference
Also, perhaps you can get input on the Posit Community Pages
