623.630 (24S) Seminar in Artificial Intelligence
Overview
- Lecturer
- Course title german Seminar in Artificial Intelligence
- Type Seminar (continuous assessment course )
- Course model Blended learning course
- Online proportion 30%
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 6 (25 max.)
- Organisational unit
- Language of instruction Englisch
- Course begins on 07.03.2024
- eLearning Go to Moodle course
Time and place
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Course Information
Intended learning outcomes
The participants
deepen their skills and proficiency in the research and study of scientific and technical literature
- learn to get an overview of a given topic, to structure and to summarize it as well as to extract the essentials
- learn to distinguish between scientifically and technically sound works and less reliable or meaningful publications by critically studying literature
- improve their presentation skills
- expand their knowledge in selected areas of semantic systems and related research areas
Teaching methodology including the use of eLearning tools
seminar-like: presentations, discussions
Course content
current topics in artificial intelligence
Prior knowledge expected
Introductory courses in artificial intelligence
Curricular registration requirements
Literature
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.
Examination methodology
Assessment based on oral and written parts
Examination topic(s)
Presentations, giving feedback, writing reviews and a final paper
Assessment criteria / Standards of assessment for examinations
Quality of presentation and final paper, giving feedback, writing reviews.
The use of artificial intelligence tools is generally prohibited in the entire work and writing process for teaching and learning didactic reasons.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Informatics
(SKZ: 911, Version: 19W.2)
-
Subject: Artificial Intelligence
(Compulsory elective)
-
Seminar (
2.0h SE / 4.0 ECTS)
- 623.630 Seminar in Artificial Intelligence (2.0h SE / 4.0 ECTS) Absolvierung im 3. Semester empfohlen
-
Seminar (
2.0h SE / 4.0 ECTS)
-
Subject: Artificial Intelligence
(Compulsory elective)
- Master's degree programme Artificial Intelligence and Cybersecurity
(SKZ: 993, Version: 20W.1)
-
Subject: Specialisation in Artificial Intelligence and Cybersecurity
(Compulsory elective)
-
Fachlich relevante Lehrveranstaltungen (
0.0h XX / 34.0 ECTS)
- 623.630 Seminar in Artificial Intelligence (2.0h SE / 4.0 ECTS) Absolvierung im 2., 3. Semester empfohlen
-
Fachlich relevante Lehrveranstaltungen (
0.0h XX / 34.0 ECTS)
-
Subject: Specialisation in Artificial Intelligence and Cybersecurity
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Sommersemester 2022
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)
-
Sommersemester 2021
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 623.630 SE Seminar in Semantic Systems (2.0h / 4.0ECTS)