Probability Theory  104222





Lecture 
Exercise 
Laboratory 
Project or Seminar 
House Work 
Weekly Hours 
3 
1 


8 

Determination of the grade according to progress during the semester and a final examination.
Prerequisites:




Calculus 2M 
104032



or



Infinitesimal Calculus 2 
104281



Overlapping Courses:




Probability (Ie) 
094411






Probability (Advanced) 
094412






Probability (Ae) 
094417






Int.to Probability and Statistics 
094481






Introduction to Probability H 
104034


Probability Spaces, Events, Axioms of Probability. Combinatorics, Dependent and Independent Events, Conditional Probability, Bayes' Theorem. Random Variables  Continuous and Discrete. Distribution Functions and Density Functions. Expectation, Variance and Higher Moments. Classical Probability Distributions. Chebyshev'S Inequality. Sums of Independent Random Variables, the Weak Law of Large Numbers and An Application to Weierstrass' Approximation Theorem. Random Vectors, Conditional Expectation and the Curve of Regression. Generating Functions. the Central Limit Theorem. Random Walks.
Times and places of examinations
02/2018
20182019 Spring Semester
examination time 
day 
date 
Season 

Monday 
08.07.2019 
à 

Thursday 
03.10.2019 
á 
Timetable to semester 02/2018
20182019 Spring Semester
Room 
Building 
Hour 
day 
Lecturer 
Exercise Lecture 
no. 
Registering Group 
306 
Ullman 
12:3013:30 
Sunday 
Full Professor Holzman Ron 
Lecture 
10 
11 
306 
Ullman 
08:3010:30 
Monday 
306 
Ullman 
12:3013:30 
Monday 
Ms. Pat Nika 
Exercise 
11 
Created in 16/02/2019 Time 01:35:19