650.040 (22S) Advanced Topics in Artificial Intelligence 1
Overview
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- 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
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
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 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)