Probability and information theory (5 cr)

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?

Evaluation

Students can
a. use professional vocabulary and concepts in an expert way in different situations.
e. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.

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.