Skip to main content

Probability and information theory (5 cr)

Code: IT00EC04-3001

General information


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

Department of Information Technology

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

  • ITMI20SP
    Information 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.