Admission requirements
None.
Description
The course will present fundamental notions in statistics and specific statistical techniques with applications to astronomical research. The topics covered are the basics of probability theory, point estimation, confidence intervals, hypothesis testing, regression, and others. Methods will be illustrated using the statistical software package R.
Course objectives
The course aims at familiarizing students with statistical techniques with applications to astronomical research.
Timetable
See BSc schedules.
Mode of instruction
Lectures and exercise classes.
Assessment method
Homework assignments (30%) and written exam (70%).
See Exam schedule.
Blackboard
Lecture notes, additional readings and assignments will be provided on Blackboard. To have access, you need an ULCN account. More information:
Reading list
All of Statistics. Larry Wasserman, Carnegie Mellon University. ISBN: 978-0387402727. Corrected second printing, 2005.
Handouts.
Registration
Via uSis.
More information about signing up for your classes at the Faculty of Science can be found here
Exchange and Study Abroad students, please see the Prospective students website for information on how to apply.
Contact information
Lecturer: Dr. S. (Shota) Gugushvili
Assistant:
Course website: Statistiek AN
Remarks
None.