Probability and information theoryLaajuus (5 cr)
Code: IT00EC04
Credits
5 op
Teaching language
- English
Objective
You know the basic concepts of probability and information theory. You are able to make decisions by means of random variables and probability distributions. You are able to apply information theory in the field of information technology.
Content
What do sample space and random variable mean and how is probability defined?
Which kind of predefined distributions are there for random variables?
What is meant by information theory?
What is meant by maximum entropy principle?
How are probability and information theory applied in information technology and decision-making?
Qualifications
Attending the course requires basic knowledge of sets, Boolean algebras and calculus.
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Mikkeli Campus
Teaching languages
- English
Seats
1 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Jari Kortelainen
Teacher in charge
Jari Kortelainen
Groups
-
ITMI21SPInformation technology, full-time studies
Objective
You know the basic concepts of probability and information theory. You are able to make decisions by means of random variables and probability distributions. You are able to apply information theory in the field of information technology.
Content
What do sample space and random variable mean and how is probability defined?
Which kind of predefined distributions are there for random variables?
What is meant by information theory?
What is meant by maximum entropy principle?
How are probability and information theory applied in information technology and decision-making?
Opiskelumateriaali
To be settled at the course kick off.
Yksilölliset oppimisväylät
Scheduled track:
You participate in lectures and exercises according to the weekly schedule.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.
TKI ja työelämäyhteistyö
To be settled at the course kick off.
Tentit ja muut määräajat
To be settled at the course kick off.
Opiskelijan työmäärä
135 h
Evaluation scale
1-5
Assessment methods and criteria
To be settled at the course kick off.
Qualifications
Attending the course requires basic knowledge of sets, Boolean algebras and calculus.
Enrollment
07.11.2022 - 18.11.2022
Timing
09.01.2023 - 28.04.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Jari Kortelainen
Teacher in charge
Jari Kortelainen
Groups
-
ITMI20SPInformation technology, full-time studies
Objective
You know the basic concepts of probability and information theory. You are able to make decisions by means of random variables and probability distributions. You are able to apply information theory in the field of information technology.
Content
What do sample space and random variable mean and how is probability defined?
Which kind of predefined distributions are there for random variables?
What is meant by information theory?
What is meant by maximum entropy principle?
How are probability and information theory applied in information technology and decision-making?
Opiskelumateriaali
To be settled at the course kick off.
Yksilölliset oppimisväylät
Scheduled track:
You participate in lectures and exercises according to the weekly schedule.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.
TKI ja työelämäyhteistyö
To be settled at the course kick off.
Tentit ja muut määräajat
To be settled at the course kick off.
Opiskelijan työmäärä
135 h
Evaluation scale
1-5
Assessment methods and criteria
To be settled at the course kick off.
Qualifications
Attending the course requires basic knowledge of sets, Boolean algebras and calculus.