650.000 (21W) Fundamentals of Artificial Intelligence and Cybersecurity
Overview
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 Blended learning course
- Online proportion 80%
- Hours per Week 3.0
- ECTS credits 4.0
- Registrations 21 (30 max.)
- Organisational unit
- Language of instruction English
- Course begins on 05.10.2021
- eLearning Go to Moodle course
Time and place
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.
Teaching methodology including the use of 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).
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 cryptology.
Literature
References to the recommended books and literature necessary for this course will be given on the course moodle page.
Examination information
Examination methodology
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.
Examination topic(s)
The topics of the quizzes will be same as the topics covered in the lectures.
Assessment criteria / Standards of assessment for examinations
Written online quizzes.
Grading scheme
Grade / Grade grading schemePosition 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
-
1.1 Fundamentals of Artificial Intelligence and Cybersecurity (
0.0h VC / 4.0 ECTS)
-
Subject: Foundations of Artificial Intelligence and Cybersecurity
(Compulsory subject)
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 2020/21
- 650.000 VC Fundamentals of Artificial Intelligence and Cybersecurity (3.0h / 4.0ECTS)