Probabilistic Structures
Course code
old course code
Course title in Estonian
Tõenäosuslikud struktuurid
Course title in English
Probabilistic Structures
ECTS credits
approximate amount of contact lessons
Teaching semester
Assessment form
lecturer of 2019/2020  Autumn semester
õppejõud on määramata
lecturer of 2019/2020  Spring semester
lecturer not assigned
Course aims
The goal of the subject is:
to offer an introductory overview of the main probabilistic methods together with their most important applications; to teach students to use the most common probabilistic methods.
Brief description of the course
Basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression, correlation.
Attending lectures is a prerequisite of the learning process.

Independent work
Independent work includes work with the textbooks and lecture notes, solving the exercises.
Learning outcomes in the course
After passing this course the student:
knows main notions of probabilistic methods;
is familiar with the main methods and their applications,
is able to solve the standard exercises.

Assessment methods
Classroom tests and exam.
dots Alar Leibak
Study literature
Pärna, K.; Tõenäosusteooria algkursus, 2013, Tartu Ülikooli Kirjastus, Tartu.
Ross, S. M.; A First Course in Probability, 2002, Prentice-Hall Inc, New Jersey.
Learning materials and computer program examples:

Replacement literature
J. Gurski, Tõenäosusteooria ja matemaatilise statistika elemendid (olemas ka vene k.). Tallinn, 1986.
Ross, S. M. (2002) A first course in probability. Prentice Hall.