Data Programming

The world has become data-driven. Domain scientists and industry increasingly rely on data analysis to drive innovation and discovery; this reliance on data is not only restricted to science or business, but also is crucial to those in government, public policy, and those wanting to be informed citizens. As the size of data continues to grow, everyone will need to use powerful tools to work with that data.

CSE 160 is an introductory programming class that meets this need. You will learn to write small programs in Python to solve real-world problems in science, engineering, business, and other fields. This will be useful in your classes, research, and jobs.

In this course:

1. You will learn computational problem-solving. If given a data source and problem description, you will be able to write a complete, useful program to solve the problem.
2. You will learn Python, a popular and general-purpose programming languages that includes libraries for data manipulation, scientific computing, and visualization.
3. Assignments will use real datasets from fields such as biology, government, social networks, and more.

There are no prerequisites to this course other than high school math. We assume that you are familiar with basic computer usage (running applications, editing documents, etc).

This course does not assume any previous programming experience. If you have taken CSE 143 or any 300-level class, you will not receive credit for taking CSE 160. For those who have taken 142 or have had some experience with programming, CSE 163 may be a better class choice.