Sample Syllabi

Repository of notebooks, cheatheets, various data sets and other materials used for the 2019 Computational Journalism Class, a course that brings together journalism, design, media studies, and technical disciplines to understand the various threats to journalism and media, and attempt to address these challenges using technical and computational methods and techniques

A hands-on, research-level introduction to the areas of computer science that have a direct relevance to journalism, and the broader project of producing an informed and engaged public. The course studies two big ideas: the application of computation to produce journalism (such as data science for investigative reporting), and journalism about areas that involve computation (such as the analysis of credit scoring algorithms.)

Repository of notebooks, cheatheets, various data sets and other materials used for the 2018 Computational Journalism Class, a course that brings together journalism, design, media studies, and technical disciplines to understand the various threats to journalism and media, and attempt to address these challenges using technical and computational methods and techniques

Introduction to the ins and outs of the Python programming language. Annotated how-tos and worked out examples on cleaning, parsing and processing data, basic visualization and mapping, and how to use public resources such as Google and StackOverflow to build self-reliance.

A course on algorithms used in journalism, for beginning Python programmers. Taught at the Lede program, Columbia Journalism School, summer 2018 by Jonathan Stray.

Introduction to the ins and outs of the Python programming language. Annotated how-tos and worked out examples on cleaning, parsing and processing data, basic visualization and mapping, and how to use public resources such as Google and StackOverflow to build self-reliance.

Machine learning and data science are integral to processing and understanding large data sets. These notes are for Algorithms, a Summer 2017 course for the Lede Program at Columbia University Graduate School of Journalism.

Through the introduction of the database language/application postgreSQL and the programming language Python, the course explores the varieties data types, structures and architectures along with the modes of thinking and kinds of knowledge that flow from working with data