During this seminar, we will explore Mathematica’s use for a wide variety of practical and theoretical applications across a variety of disciplines – from exploring random walks to social network analysis. Attendees will not only see new features in Mathematica 9, but will also receive examples of this functionality to begin using immediately. No Mathematica experience is required, and students are encouraged to attend and bring questions that they would like us to address.
Date: Thursday, April 24
Time: 4:30 PM – 5:30 PM (including Q&A, refreshments at 4:15 PM)
Place: Allbritton 311
The Quantitative Analysis Center has added several new courses for the fall and spring semesters: one on data science, and four courses on GIS (Geographical Information Systems – above image).
These courses are:
QAC 211, Fall 2013: Digging the Digital Era: A Data Science Primer – A course in which students use R to access, organize, and analyze data through small projects to illustrate the application of techniques, and will also complete a semester-long project accessing and using data from Twitter to answer a research question. (Tuesday and Thursday, 1:10 – 2:30)
E&ES 322 and 324, Fall 2013: Introduction to GIS and GIS Service Learning Laboratory – A class and lab that must be taken in conjunction with one another. Students will use GIS (geographical information systems, tools that organize, analyze, and display spatial data). GIS is used in the class with a focus on how it can be used practically. In the lab component, students work together using GIS to answer local questions about environmental problems. No prior GIS experience is necessary. (Wednesday and Friday, 2:40 – 4:00, and Thursday, 1:10 – 4:00)
Spring courses past the jump: