This course will focus on demystifying scientific figures and graphs. We will practice interpreting graphical data, and learn skills to create our own graphs and figures to describe data. We will cover basic statistics and the foundations of data science. We will also learn principles of graphic design, programming, and practice using graphical software. One goal will be for you to leave knowing how to make polished and descriptive figures.
An interactive computer lab component will be featured in most lessons, allowing you to practice applying concepts. This course includes an academic project that you will work on over the two weeks and present on the final day to your peers. The academic project will be designed according to your individual interests and completed by applying skills learned during the course. This course’s flexibility allows you to explore what you care about within the context of the lessons. It is designed to build and practice often-neglected graphical skills that will be tremendously important as you continue within your academic career.
By the end of this course, you will have gained experience with the following:
• Data science principles
• Basic Programming for Data Science (Python)
• Graphic Design
• Experience with vector software such as Adobe Illustrator
All students are welcome and should have an interest in graphic design and science. Experience or exposure to Algebra will be helpful. This course recommends a laptop for course-related programming, games/simulations, etc. Please note that some devices (e.g., Chromebooks) do not allow software downloads onto a desktop and so will not accommodate the specific needs of this course. If you have questions about this requirement please reach out to [email protected]
Online sections of Pre-College courses are offered in one of the following modalities: Asynchronous, Mostly asynchronous, or Blended. Please review full information regarding the experience here.