- Lectures: Pauliina Ilmonen, pauliina.ilmonen(a)aalto.fi
- Lectures on Wednesdays and Thursdays 13.9., 14.9., 20.9., 21.9., 27.9., 28.9., 4.10., 5.10., 29.11., and 30.11. at 16.15-18.00 (Y124 hall E, Otakaari 1)
- Exercises: Niko Lietzén, niko.lietzen(a)aalto.fi
- Weekly exercises Group 1 on Wednesdays 11.10., 18.10., 1.11., 8.11., and 15.11. at 16.15-18.00 (U351, Otakaari 1)
- Weekly exercises Group 2 on Thursdays 12.10., 19.10., 2.11., 9.11., and 16.11. at 16.15-18.00 (U344, Otakaari 1)
This course is an introduction to experimental and statistical methods in biological sciences. The goal is to learn the basics of common simple data analysis techniques and to use the methods in practice. Software R is used in the exercises of this course. The topics of the course are population and sample, descriptive statistics, visualization, statistical testing, anova, dependence and linear regression.
How to pass this course:
You are expected to:
Attend the lectures and be active - not compulsory, no points, but highly recommended. The first lecture is on Wednesday 13.9.
Submit your homework assignments on time - THIS IS COMPULSORY - max 6 points. (Homework problems will be given later under assignments.)
Take the exam - max 24 points. (Note that if you have not submitted your homework assignments on time, you will automatically get 0 points from the exam.)
Participate to exercises - not compulsory, but highly recommended. Homework problems are reasonably easy to solve, if you have attended the exercise sessions, but otherwise homework problems can be quite challenging.
Max total points = 24 + 6 = 30: You need at least 15 points to pass the course.