75 euros. More information
Master’s Programme in Atmospheric Sciences is responsible for the course.
Module where the course belongs to:
- ATM300 Advanced Studies in Atmospheric Sciences
- Study Track in Aerosol Physics
- Study track in Biogeochemical Cycles
- Study Track in Geophysics of the Hydrosphere
- Study Track in Atmospheric Chemistry and Analysis
- Study Track in Remote Sensing
- Study Track in Meteorology
The course is available to students from other degree programmes.
The competences can be further developed by taking the course
ATM309 Analysis of atmosphere-surface interactions and feedbacks.
Upon completing the course, the student:
- understands the concept and applicability of statistical tests and p-values and is able to apply them to a given dataset;
- is able to perform fundamental statistical analysis of a given dataset;
- is able to produce clear programming code.
The course will be lectured every year in the I period.
- programming basics: functions, code organization & style, simple optimization, debugging, different ways to do IO
- basics of statistics: distributions, cont. & disc., parameters, histograms
- tests and their related concepts, hypothesis tests & p-value
- fitting: linear fits, polynomial & other non-linear fits, interpolation & extrapolation
- PCA, factor analysis & clustering
time series: data models
The material will be provided during the course.
Weekly exercises and lectures.
Final grade is based on exercises (1/2) and final exam (1/2), and 45% of total points needed to pass.
This course has special arrangements during autumn 2020:
The course will be taught over periods 1 and 2, starting on Sept 14.
The course consists of three parts:
1. Lecture videos for each section
2. Exercises for each section
3. Then there is a larger course work at the end of the course
All three parts need to be completed for passing the course.
First part you complete by just watching the videos. For the second and third one, detailed instructions are given on the course page on Digicampus: https://digicampus.fi/enrol/index.php?id=129
1. No final exam.
2. Assessment of the course is done on a scale of 0 (fail) to 5 (excellent).
3. Assessment are done based on evaluation matrix and
4. used practices include self-evaluation, peer evaluation (based on peer work in exercises and course work) and assessment by the teacher (based on course work).and the final grade will be Passed/Failed (according to >50% course mark)
Lectures mondays 14.9. - 7.12.2020, 14-16