650.000 (20W) Fundamentals of Artificial Intelligence and Cybersecurity

Wintersemester 2020/21

Registration deadline has expired.

First course session
06.10.2020 09:00 - 11:00 online Off Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Fundamentals of Artificial Intelligence and Cybersecurity
Type Lecture - Course (continuous assessment course )
Course model Online course
Hours per Week 3.0
ECTS credits 4.0
Registrations 12 (30 max.)
Organisational unit
Language of instruction English
Course begins on 06.10.2020
eLearning Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

The aim of this course is to provide the students with the basic knowledge of mathematics, statistics and probability theory that will be required to follow the different courses on cybersecurity and AI. 

Course content

The topics included in this course are: discrete probability distributions, conditional distribution independence, random variables, moments of random variables (additional contents if there is time), vector and matrix arithmetic, properties of inverse and orthogonal matrices, properties of eigenvalues and eigenvectors, properties of singular value decomposition. 

The course will also focus on applications of some mathematical and statistical techniques in selected areas of cybersecurity and AI/machine learning. 

Literature

References to the recommended books and literature necessary for this course will be given on the course moodle page. 

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Examination methodology

Performance of the students will be evaluated through moodle quizzes. The details of the quizzes and other relevant information will be announced on course moodle page. 

Examination topic(s)

The topics of the quizzes will be same as the topics covered in the lectures. 

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Master's degree programme Artificial Intelligence and Cybersecurity (SKZ: 993, Version: 20W.1)
    • Subject: Foundations of Artificial Intelligence and Cybersecurity (Compulsory subject)
      • 1.1 Fundamentals of Artificial Intelligence and Cybersecurity ( 0.0h VC / 4.0 ECTS)
        • 650.000 Fundamentals of Artificial Intelligence and Cybersecurity (3.0h VC / 4.0 ECTS)
          Absolvierung im 1. Semester empfohlen

Equivalent courses for counting the examination attempts

Wintersemester 2023/24
  • 650.000 VC Fundamentals of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)
Wintersemester 2022/23
  • 650.000 VC Fundamentals of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)
Wintersemester 2021/22
  • 650.000 VC Fundamentals of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)