Visualization of Network Science
Need for the project: The goal of this project is to create a pool of visualizations to promote the understanding of network science. This area of applied mathematics has recently seen a boost in both research and teaching. Unfortunately, mathematical theories are often challenging to understand. Similarly, many students struggle to obtain an intuition for empirical datasets.
Aims and objectives: The visualizations that are developed within this project, illustrate theories and data sets in a graphical way. All material will be available online and can be easily included in lectures, summer schools, and public-outreach activities such as the mathematics enrichment circles and UCC open days. They also provide a visual basis for a better student understanding in periods of self-study.
Expected outcomes: An online collection of visualizations will be created, embedded in recently created lectures and designed for students’ self-study outside the classroom. Furthermore, the project will enhance the knowledge and intuitive understanding in a hot area of data science desired or of great interest to current employers increasing students’ employability.
Duration: academic years 2019/2020 and 2021/2022.
This workshop is supported by the Office of the Vice-President for Learning and Teaching in the framework of Strategic Alignment of Teaching and Learning Enhancement Funding in Higher Education 2019 and National Form for the Enhancement of Teaching and Learning in Higher Education.