This is the only website where to find learning material about the course. The website will be updated regularly thoughout the course with the latest slides and tutorial information. Learn will be used for assignments only! Bookmark this page.
The course aims to provide a general understanding of how to use data visualizations in your work and how to be critical about it. The course has three specific learning outcomes which you assignments will be marked against.
The course teaches:
Course assignments will require you to find a data set you would like to work with during the course. Students are free to chose the data set they would like to work with. If you are not sure about the data you chose, talk to me after the lecture. Student work around data on climate change can enter a competition for a possible public exhibition/conference in November, associated to the COP26 in Glasgow. Data can come from any source as long as privacy and copy rights are respected: the internet, an external collaborator, the student’s own research, another course the student is taking, personally collected data.
This course has 11 lectures, 5 tutorials and 2 assignments. Any lecture is 2h, including 90min lecturing, a 10min break, and 20min for question and answering. Each course week comes with a small home work which should not take more than XX h.
There are 2 assignments, both need to be handed in. There is no written exam. Students will work individually for assignment Assignment 1 and in groups of 3 for Assignment 2.
A detailed description and slides for each lecture is found here
|Jan, 13||1||Foundations I: Introduction to Data Vis||—||—|
|Jan, 20||2||Foundations II: Visualization design||T1: Critique+Redesign||—|
|Jan, 27||3||Foundations III: Tools for data visualizations||—||—|
|Feb, 03||4||Techniques: Visualizing Statistical and Multivariate Data||T2: Challenge+Design||—|
|Feb, 10||5||Techniques: Multivariate data and Trees||—||Assignment 1|
|Feb, 17||-||Week of creative learning||—||—|
|Feb, 24||6||Techniques: Networks and Geography||T3: Data and Tools||—|
|Mar, 02||7||Techniques: Temporal and Interaction||—|
|Mar, 09||8||Advanced: Storytelling||T4: Storytelling||—|
|Mar, 16||9||guest lecture||—||—|
|Mar, 23||10||Advanced: Evaluating vis||T5: Evaluation + Open Atelier||—|
|Mar, 30||11||Topic Lecture||—||Assignment 2|