Probability and information theory (5 cr)
Code: IT00EC04-3001
General information
- Enrollment
-
07.11.2022 - 18.11.2022
Registration for the implementation has ended.
- Timing
-
09.01.2023 - 28.04.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- 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
-
ITMI20SPInformation technology, full-time studies
- Course
- IT00EC04
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?
Course material
To be settled at the course kick off.
Study forms and methods
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.
RDI and work-related cooperation
To be settled at the course kick off.
Timing of exams and assignments
To be settled at the course kick off.
Student workload
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.