Introduction to Probability

Course code

MLM6506.DT

old course code

Course title in Estonian

Tõenäosusteooria algkursus

Course title in English

Introduction to Probability

ECTS credits

4.0

Assessment form

Examination

lecturer of 2024/2025 Autumn semester

Tõnu Tõnso (language of instruction:Estonian)

lecturer of 2024/2025 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

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.

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, limit theorems.

Attending lectures is a prerequisite of the learning process.

Attending lectures is a prerequisite of the learning process.

Learning outcomes in the course

Upon completing the 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.

- knows main notions of probabilistic methods;

- is familiar with the main methods and their applications;

- is able to solve the standard exercises.

Teacher

Tõnu Tõnso

Study programmes containing that course

Swedish Philology (GRR3B/19.HT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)

Integrated Natural Sciences (MLLB/24.LT)

Integrated Natural Sciences (MLLB/23.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Integrated Natural Sciences (MLLB/22.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Integrated Natural Sciences (MLLB/21.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Integrated Natural Sciences (MLLB/20.LT)

Integrated Natural Sciences (MLLB/19.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/24.DT)

Integrated Natural Sciences (MLLB/24.LT)

Integrated Natural Sciences (MLLB/23.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Integrated Natural Sciences (MLLB/22.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Integrated Natural Sciences (MLLB/21.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Integrated Natural Sciences (MLLB/20.LT)

Integrated Natural Sciences (MLLB/19.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)