650.040 (22S) Advanced Topics in Artificial Intelligence 1

Sommersemester 2022

Registration deadline has expired.

First course session
09.05.2022 13:00 - 18:00 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 Advanced Topics in Artificial Intelligence 1
Type Lecture - Course (continuous assessment course )
Course model Online course
Hours per Week 4.0
ECTS credits 6.0
Registrations 6 (30 max.)
Organisational unit
Language of instruction English
Course begins on 09.05.2022
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

All the aims of the course "Selected Topics in Machine Learning".

Plus, being able to develop a project based on the concepts seen in the course (mainly using Inductive Logic Programming systems).

Teaching methodology including the use of eLearning tools

Classroom instructions mixed with practical exercises.

Course content

This class covers the same contents of "Selected Topics in Machine Learning (626.017)", plus further lectures on practical applications.

The extra lectures aim to support the students in developing an advanced project.

The concepts needed to develop the project (knowledge of Prolog, Inductive Logic Programming, etc.) will be taught in class.

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.

Modified examination information (exceptional COVID-19 provisions)

The written exam will be held in presence at the end of the lecture period if the COVID-19 situation has sufficiently improved by then, or a virtual exam will be organized otherwise.

The project will be presented online on the 27th of June.

Examination methodology

Written exam (from "Selected Topics in Machine Leaning"), plus project presentation.

Examination topic(s)

For the written exam: all the theoretical concepts in "Selected Topics in Machine Leaning".

For the project: Inductive Logic Programming. Possible tools for implementation will be illustrated during the project lessons.

Assessment criteria / Standards of assessment for examinations

Correctness and comprehensiveness of the answers for the written exam. 

Correctness, performance and clarity of the project developed.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Master's degree programme Artificial Intelligence and Cybersecurity (SKZ: 993, Version: 20W.1)
    • Subject: Specialisation in Artificial Intelligence and Cybersecurity (Compulsory elective)
      • 4.1 Advanced Topics in Artificial Intelligence 1 ( 0.0h VC / 6.0 ECTS)
        • 650.040 Advanced Topics in Artificial Intelligence 1 (4.0h VC / 6.0 ECTS)
          Absolvierung im 2., 3. Semester empfohlen

Equivalent courses for counting the examination attempts

This course is not assigned to a sequence of equivalent courses