650.000 (21W) Fundamentals of Artificial Intelligence and Cybersecurity
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Fundamentals of Artificial Intelligence and Cybersecurity
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Blended-Learning-Lehrveranstaltung
- Online-Anteil 80%
- Semesterstunde/n 3.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 21 (30 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 05.10.2021
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
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.
Lehrmethodik inkl. Einsatz von eLearning-Tools
Online lectures, lecture videos ( Information about them will communicated to the students via the course moodle page.)
Note that depending on the number of students who can be present for in person lectures we may decide to switch to online mode of teaching (instead of hybrid mode).
Inhalt/e
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 cryptology.
Literatur
References to the recommended books and literature necessary for this course will be given on the course moodle page.
Prüfungsinformationen
Prüfungsmethode/n
Performance of the students will be evaluated through moodle quizzes. The details of the quizzes including their schedule and other relevant information will be announced on course moodle page.
Prüfungsinhalt/e
The topics of the quizzes will be same as the topics covered in the lectures.
Beurteilungskriterien/-maßstäbe
Written online quizzes.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
-
Fach: Foundations of Artificial Intelligence and Cybersecurity
(Pflichtfach)
-
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
-
1.1 Fundamentals of Artificial Intelligence and Cybersecurity (
0.0h VC / 4.0 ECTS)
-
Fach: Foundations of Artificial Intelligence and Cybersecurity
(Pflichtfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
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 2020/21
- 650.000 VC Fundamentals of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)