Website for winter 2016
Website for spring 2015
Website for winter 2014
Website for winter 2013
Website for summer 2012, postmortem of summer 2012 offering
SIGCSE 2014 paper, SIGCSE 2015 paper
For Resources for instructors, email Michael Ernst

Computational methods permeate the sciences, engineering, and the humanities. A successful professional needs a basic knowledge of computer programming in order to perform practical data analysis. “Introduction to Data Programming with Applications” meets this need.

In this class:

• You will learn computational problem-solving. After the class, if you are given a data source and a problem description, you will be able to write a complete, useful program to solve the problem.
• You will learn Python, a popular and easy-to-use general-purpose programming language that includes excellent libraries for data manipulation, scientific computing, and visualization.
• Assignments will use real datasets from astronomy, biology, linguistics, oceanography, open government, social networks, and more. You will see that it is easy to process, and that doing so yields insight.
• You will have a lot of fun!

Prerequisites: high-school math. No other prerequisites.
The class is intended for people who do not yet know how to program. You may not register for it if you have taken any 300-level CSE class. Enrollment preference will be given to those who have not taken CSE 143. If you are a direct-admit CSE major, you may take this class in place of CSE 142, but you will need an add code.
Add codes are controlled by the CSE undergrad advisors (ugrad-advisor@cs.washington.edu), not by the instructor.

This class is useful on its own: by the end you will be able to write complete, useful programs. This class can also serve as a prerequisite for CSE 143 or CSE 143X, for those who may wish to take more programming classes in the future.

Instructors: Michael Ernst, Ruth Anderson

Books: See the syllabus. Buy your books well in advance, because they are not stocked by the University Book Store.