650.040 (21S) Advanced Topics in Artificial Intelligence 1
Overview
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
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
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 schemePosition 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
-
4.1 Advanced Topics in Artificial Intelligence 1 (
0.0h VC / 6.0 ECTS)
-
Subject: Specialisation in Artificial Intelligence and Cybersecurity
(Compulsory elective)