AGH University of Krakow, Poland

Introduction to probability, statistics, and data handling

Lectures

Lectures are held in room D10 room 225 building D10 (Reymonta 19).

• What is a statistic for? Conditional probability Lecture
• Random variable Lecture
• Bernouli, Poisson and Gaussian distributions Lecture Statistical tables
• Law of large numbers, Chebyshev Inequality, Central Limit Theorem Lecture
• Confidence intervals Lecture
• Point estimation Lecture
• Hypothesis testing Lecture
• Tests for means and variance cont. Lecture
• Curve fitting and regression Lecture
• Point estimation cont. (MMM MLS, MML) Lecture
• Error Propagation Formula, PCA Lecture
• Exam (requirement: positive grade from the tutorial) 29th of January 2026
• Retake exam: 5th of February 2026
• Final Grade is calculated as: 0.3 Tutorial + 0.2 Laboratory + 0.5 Exam + lecture activity

Tutorials

You can find assignments in the MS Teams group

Texbook:

• Introductory Statistics, OpenStax Access online
• A modern introduction to Probability and Statistics F.M. Dekking, C. Kraaikamp, H.P. Lopuhaa, L.E. Meester, Springer 2005

Contact

Course coordinator: dr hab. inż. Agnieszka Obłąkowska-Mucha, prof AGH D11 room 110 mail
Assistant M.Sc. Saliha Bashir D11 room 106 mail
ul. Kawiory 26a, 30-055 Kraków
AGH University of Kraków, Poland
Faculty of Physics and Applied Computer Science