WS 2022/23



Tuesday, 10 a.m. - 12 a.m., M1
Friday, 10 a.m. - 12 a.m., M1
Lecturer:  Prof. Chiranjib Mukherjee
Assistance:  Konstantin Recke
QISPOS: The course in the course overview
The tutorial in the course overview
Course syllabus: This lecture provides an introduction to mathematical probability theory. Among other topics, discrete and general probability spaces, conditional probabilities and independence as well as expectations and variances will be discussed. For sums of independent random variables a law of large numbers as well as a central limit theorem will be proven.
Learnweb: Please enroll in the Learnweb course for this lecture.
Course assessment: Written exam (date, time and place: see the learnweb course).