Study Guide

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?

Materials

To be settled at the course kick off.

Teaching 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.

Employer connections

To be settled at the course kick off.

Exam schedules

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.