Teaching and open learning materials from the Data Lab at Syracuse University. Almost everything here is free to use — our textbook, all of its lecture slides, six conference tutorials, and the datasets behind the exercises. Instructors are welcome to adapt any of it; please cite the source.
Courses
Graduate and undergraduate courses taught in Syracuse University’s Department of Electrical Engineering and Computer Science, with sample topics: Introduction to Data Science, Analytical Data Mining, Machine Learning with Graphs, Spectral Graph Theory, Social Media Mining, and Network Science, plus undergraduate courses in systems and network programming, probability and statistics, and fundamentals of computing.
Conference Tutorials
Six survey-style tutorials presented at KDD, TheWebConf, WSDM, SDM, and ICDM, with slides where they are hosted. Topics: fake news detection, interpretable network representations, and noise enhancement. These are the quickest route into a research area.
Textbook & Lecture Slides
Social Media Mining: An Introduction (Cambridge University Press) — used in 100+ courses across 30+ countries and translated into Chinese and Farsi. The complete text is free to read online or download, and lecture slides for all ten chapters are available in both PowerPoint and PDF.
Other Learning Resources
- fake-news.site — a living companion to our fake news survey: a self-guided tutorial, the GUIDE research atlas, curated papers, and datasets.
- WebShapes — upload a network and watch it become a 3D shape. A good classroom demo for graph structure and sampling.
- datasets.syr.edu — 19 social network datasets, 19M+ nodes and 169M+ edges across seven kinds of platforms, for coursework and projects.
- github.com/SUDataLab — code and data releases.
- Theses & dissertations — full-text PhD and MS theses written in the lab, a useful model if you are starting one of your own.
Thinking about studying with us? See prospective students — we almost always accept undergraduate and MS students as volunteer research assistants.