LHC beauty

Erazmus

Introduction to Probability, Statistics and Data Handling - summer semester 2018

NEWS

  • This course consists of the lecture, tutorial and laboratory.
  • The slides of the lecture can be found in Tomasz Szumlak's web page
  • To pass the course you need to attend the tutorial and laboratory, pass the final test and write the lab report. It is rather impossible to pass the course without listening to the lectures.
  • If you want to learn more, see the course: here and especially the textbook.

TUTORIALS and LABORATORIES
Thusrday 9:40-11:10 D10, room 225
7.03 Basic Definition and Concepts
Tutorial_1.pdf
14.03 Conditional Probability, Bayes Theorem
Tutorial_2.pdf
21.03 Random variable, probability distribution
Tutorial_3.pdf Tutorial_2.pdf cont.
28.03 Continuous random variable
Tutorial 3 cont. + test
4.04 Joint distributions
Tutorial_4.pdf
11.04 Normal and Binomial distribution Tutorial_5.pdf
Statistical Tables
18.04 Normal and Binomial distribution
Tutorial_5.pdf
25.04 More practise + test: Tutorial_6.pdf
9.05 Confidence intervals Tutorial_7.pdf
16.05 Hypothesis testing Tutorial_8.pdf
23.05 9:40 Laboratory (lab 207, D10) Lab_1.pdf
30.05 9:40 Laboratory (207, D10) Lab_2.pdf
6.06 9:40 Laboratory (207, D10) Lab_3.pdf
26.06 Final test
------------------------------------------------