Class materials for ECS273 Visual Analytics in Winter 2023.
- Lecture Time: 4:40-6:00pm Tuesday and Thursday
- Location: TBA
- Instructor: Kwan-Liu Ma
- Teaching Assistant: Yun-Hsin Kuo
- TA Office Hours: Tuesdays 2-4pm (Zoom)
Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Students will learn and practice how to design, realize, and evaluate visual analytics methods integrating interactive visualization, statistical analysis methods, machine learning, and high-performance computing techniques for solving complex data analysis problems found in real-world applications. The class is formatted as a research seminar. Each week, students will read papers and present the papers in class for discussion. There will be one final project consisting of tasks including literature study, writing and presenting the project proposal, creating a software implementation to demonstrate a visual analytics design for data-driven problem solving or decision making, writing a project report, and presenting the project to the instructor and other students.
Prerequisites: ECS163/ECS175 (with ECS170/171 helpful) or equivalent
There are one assignment and one final project. Please find all the materials, including descriptions, tutorials, guidelines, and coding templates, from the folders in this GitHub repository.
Under the Pages section on Canvas, you can find pointers for certain data types that cover example datasets as well as relevant analytical and visualization techniques.
Here is a list of other resources that may be helpful for the assignment and final project.