Probabilistic Structures

Course code

MLM6400.DT

old course code

Course title in Estonian

Tõenäosuslikud struktuurid

Course title in English

Probabilistic Structures

ECTS credits

6.0

Assessment form

Examination

lecturer of 2022/2023 Spring semester

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

lecturer of 2023/2024 Autumn 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, hypothesis testing, confidence intervals, and linear regression, correlation.

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

dots Alar Leibak

The course is a prerequisite

Study programmes containing that course

Primary School Teacher (KAKLI/16.HR)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Primary School Teacher (KAKLI/15.HR)

Computer Science (IFIFB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Integrated Natural Sciences (MLLB/16.LT)

Integrated Natural Sciences (MLLB/15.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/12.DT)

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

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Primary School Teacher (KAKLI/15.HR)

Computer Science (IFIFB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Integrated Natural Sciences (MLLB/16.LT)

Integrated Natural Sciences (MLLB/15.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/12.DT)

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