Elementary introduction to probability; Bayes' theorem; counting experimants, discrete random variables; measurement experiments and continuous random variables; random samples and sample statistics; and their properties; moment estimators, maximum likelihood estimators, bayes estimators; confidence intervals and credible intervals; linear models and regression.
The course is based on the book "Wahrscheinlichkeitsrechnung und Statistik für Studierende der Physik" which can be downloaded from:
http://bookboon.com/de/wahrscheinlichkeitsrechnung-und-statistik-ebook
In addition:
Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, Academic Press