LHC beauty

Computer Science

Introduction to Probability, Statistics and Data Handling - summer semester 2020

NEWS

  • Starting from 26.03 the tutorial will be held on-line EACH week at 1 pm at AGH UPEL: this site. Please, solve and send me at least 4 out of five problems from the Assigments for every meeting.
  • 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 OpenStax textbook.

TUTORIALS
Thursday 13-14:30 D10, room 225
27.02 Basic Definition and Concepts
Tutorial_1.pdf
5.03 Conditional Probability, Bayes Theorem
Tutorial_2.pdf
26.03 Random variable, probability distribution
Tutorial_3.pdf Solutions: Tutorial_3 notes.
2.04 Joint distributions
Tutorial_4.pdf Solutions: Tutorial_4 notes.
9.04 Normal and Binomial distribution
Tutorial_5.pdf Solutions: Tutorial_5 notes.
Statistical Tables
16.04 Covariance Matrix and Error propagation notes_nDRV.pdf
Central Limit Theorem Tutorial_6.pdf
7.05 Confidence intervals and Hypothesis testing Tutorial_7.pdf
Homework (dealine is 21st of May, upload into UPEL) is here!
28.05 Test on-line (UPEL)
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