Poster abstracts
Final project – Poster presentation 16 June 2026
Based on a topic from your own research:
Select data which is adequate for a poster presentation,
Using the tools introduced in the course, analize and visualize your data,
Select and prepare figures to include in your poster,
Design your poster.
The majority of the figures in your poster should be generated with the Python tools introduced in the course and using Jupyter notebooks, but you are free to use Python modules beyond those introduced in the course.
Required poster size: A0
Homework 1 – Notebook presentation 13 April 2026
Select data that you are working on and prepare a Jupyter notebook with the following sections:
Markdown cells briefly describing the data generation process,
Code cells:
Read in the data,
Perform your field-specific data analysis (e.g. statistics, fitting, integration, etc.),
Select a chart/visualization which is best-suited for your data and plot using routines from matplotlib,
The figure should follow best practices for scientific data visualization (Lecture 4),
Markdown cells with some conclusions that you can draw based on the graph.
5 – 10 min presentation of your notebook, 13 April.
Poster abstract – email me your title and abstract by 19 May 2026
Homework 2 – Notebook presentation 26 May 2026
Select a multivariate dataset or multiple-variable function that you are working on and prepare a Jupyter notebook with the following sections:
Markdown cells briefly describing the data generation process,
Code cells:
Read in the data,
Perform your field-specific data analysis – if appropriate use pandas,
Select a chart/visualization which is best-suited for your data and plot using routines from matplotlib or pandas,
The figure should follow best practices for scientific data visualization (Lecture 4),
Markdown cells with some conclusions that you can draw based on the graph.
5 – 10 min presentation of your notebook, 26 May.