DataBase and Data Mining
Synopsis
Databases and Data Mining in Astronomy.Astronomy is becoming ever more a data intensive science and preparing, interacting with and using databases and mining large data sets are core skills for astronomers of the future. This course will follow two strands. In one we will cover the SQL query language both for interaction with databases and for creating them with particular emphasis being placed on using the SDSS databases and their derivatives. The second strand focuses on data mining techniques among others, principal component analysis, density estimation, classification techniques and neural networks. The focus of the course is practical and will be structured around a number of practical tasks.
Additional information
| Lecturer | Dr. J. Brinchman | |
| Assistant | MSc M. (Mehr) Kazandijan | |
| Target group | Master students | |
| Prerequisites | ||
| Period | Fall 2011, see Master schedule | |
| Programme Form | Lectures & Practical Classes | |
| Examination | Written project | |
| Level/Appreciation | 500 (3 EC) | |
| More information at | course website | |
| last update 1 July 2011 |