650.040 (21S) Advanced Topics in Artificial Intelligence 1

Sommersemester 2021

Registration deadline has expired.

First course session
24.05.2021 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 11 (30 max.)
Organisational unit
Language of instruction English
possible language(s) of the assessment English
Course begins on 24.05.2021
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.
List of events is loading...

Course Information

Intended learning outcomes

All the aims of the course "Selected Topics in Machine Learning (626.017)".

Plus, being able to develop a project based on the concepts seen in the course (mainly using logic programming systems, like Prolog).

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, which applies the course concepts for AI problems (e.g., planning, search, etc.).

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 28th 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: it has to cover the topics of "Selected Topics in Machine Leaning". Possible tools for implementation to use are 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