Vorlesungsverzeichnis - Master of Science - Cognitive Systems: Language, Learning and Reasoning Prüfungsversion Wintersemester 2014/15 ...
←
→
Transkription von Seiteninhalten
Wenn Ihr Browser die Seite nicht korrekt rendert, bitte, lesen Sie den Inhalt der Seite unten
Vorlesungsverzeichnis
Master of Science - Cognitive Systems: Language,
Learning and Reasoning
Prüfungsversion Wintersemester 2014/15
Sommersemester 2021
Inhaltsverzeichnis
Inhaltsverzeichnis
Abkürzungsverzeichnis 4
Compulsory Module.............................................................................................................................................. 5
BM1 - Advanced Natural Language Processing 5
BM2 - Machine Learning and Data Analysis 5
86373 VU - Intelligente Datenanalyse & Maschinelles Lernen I 5
BM3 - Advanced Problem Solving Techniques 5
88616 KU - Advanced Problem Solving Techniques 5
88617 DF - Advanced Problem Solving Techniques 6
IM1 - Individual Research Module 6
85885 PR - Individual Research 6
Elective Modules....................................................................................................................................................6
FM1 - Foundations of Mathematics 6
FM2 - Foundations of Computer Science 6
FM3 - Foundations of Linguistics 6
AM11 - Current Topics in Computational Linguistics 1 6
85862 DF - Human-Robot Interaction: Computational and Psychological perspectives 6
85863 DF - Deep Learning for NLP 7
85884 VS - Atelier in Experimental and Computational Phonology 7
85888 S - Text Mining in the Social Sciences 7
86845 S - Doing Science and Conducting Research 8
AM12 - Current Topics in Computational Linguistics 2 8
85862 DF - Human-Robot Interaction: Computational and Psychological perspectives 8
85863 DF - Deep Learning for NLP 8
85884 VS - Atelier in Experimental and Computational Phonology 8
85888 S - Text Mining in the Social Sciences 9
86845 S - Doing Science and Conducting Research 9
AM21 - Current Topics in Machine Learning 1 9
86254 VS - Bayesian statistical inference 2 9
86845 S - Doing Science and Conducting Research 9
89026 PR - Individuelles Praktikum 2 10
89027 PR - Individuelles Praktikum 1 10
AM22 - Current Topics in Machine Learning 2 10
86254 VS - Bayesian statistical inference 2 10
86845 S - Doing Science and Conducting Research 10
89026 PR - Individuelles Praktikum 2 10
89027 PR - Individuelles Praktikum 1 11
AM31 - Current Topics in Computational Intelligence 1 11
86432 S - Current Topics in Computational Intelligence 11
86433 DF - Multi-agent path finding 11
87858 S - Cognitive and Sensorimotor Development 11
2
Abkürzungen entnehmen Sie bitte Seite 4
Inhaltsverzeichnis
AM32 - Current Topics in Computational Intelligence 2 12
86432 S - Current Topics in Computational Intelligence 12
86433 DF - Multi-agent path finding 12
87858 S - Cognitive and Sensorimotor Development 12
Project Seminar....................................................................................................................................................13
PM1 - Project in Computational Linguistics 13
85868 S - Project Seminar: Building an Interactive Language and Vision Bot 13
88566 S - Cooperative Task-Solving with an Embodied Artificial Agent 14
PM2 - Project in Machine Learning 14
85868 S - Project Seminar: Building an Interactive Language and Vision Bot 14
88566 S - Cooperative Task-Solving with an Embodied Artificial Agent 15
89026 PR - Individuelles Praktikum 2 15
89027 PR - Individuelles Praktikum 1 15
PM3 - Project in Computational Intelligence 15
86429 PJ - Intelligent Logistics Technology 15
86430 PJ - Solver Construction 16
86431 PJ - Declarative Problem Solving 17
Glossar 19
3
Abkürzungen entnehmen Sie bitte Seite 4Abkürzungsverzeichnis
Abkürzungsverzeichnis
Veranstaltungsarten Andere
AG Arbeitsgruppe N.N. Noch keine Angaben
B Blockveranstaltung n.V. Nach Vereinbarung
BL Blockseminar LP Leistungspunkte
DF diverse Formen SWS Semesterwochenstunden
EX Exkursion
Belegung über PULS
FP Forschungspraktikum
FS Forschungsseminar PL Prüfungsleistung
FU Fortgeschrittenenübung
PNL Prüfungsnebenleistung
GK Grundkurs
KL Kolloquium SL Studienleistung
KU Kurs
LK Lektürekurs L sonstige Leistungserfassung
OS Oberseminar
P Projektseminar
PJ Projekt
PR Praktikum
PU Praktische Übung
RE Repetitorium
RV Ringvorlesung
S Seminar
S1 Seminar/Praktikum
S2 Seminar/Projekt
S3 Schulpraktische Studien
S4 Schulpraktische Übungen
SK Seminar/Kolloquium
SU Seminar/Übung
TU Tutorium
U Übung
UN Unterricht
UP Praktikum/Übung
V Vorlesung
VE Vorlesung/Exkursion
VP Vorlesung/Praktikum
VS Vorlesung/Seminar
VU Vorlesung/Übung
WS Workshop
Veranstaltungsrhytmen
wöch. wöchentlich
14t. 14-täglich
Einzel Einzeltermin
Block Block
BlockSa Block (inkl. Sa)
BlockSaSo Block (inkl. Sa,So)
4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Vorlesungsverzeichnis
Compulsory Module
BM1 - Advanced Natural Language Processing
Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten
BM2 - Machine Learning and Data Analysis
86373 VU - Intelligente Datenanalyse & Maschinelles Lernen I
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
Alle V Mo 10:00 - 12:00 wöch. Online.Veranstalt 12.04.2021 Prof. Dr. Tobias Scheffer
1 U Mi 10:00 - 12:00 wöch. Online.Veranstalt 14.04.2021 Prof. Dr. Tobias Scheffer
2 U Do 12:00 - 14:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Tobias Scheffer
3 U Fr 14:00 - 16:00 wöch. Online.Veranstalt 16.04.2021 Prof. Dr. Tobias Scheffer
Kommentar
Die Veranstaltung beschäftigt sich mit Algorithmen, die aus Daten lernen können. Algorithmen des maschinellen Lernens
gewinnen aus Daten Modelle, mit denen sich dann Vorhersagen über das beobachtete System treffen lassen. Anwendungen
für Datenanalyse-Verfahren erstrecken sich von der Vorhersage von Kreditrisiken über die Auswertung astronomischer
Daten bis zu persönlichen Musikempfehlungen. Die Veranstaltung setzt sich aus einem Vorlesungs- und einem Projektteil
zusammen. Der Vorlesungsteil vermittelt die Grundlagen des maschinellen Lernens. Im Projektteil werden anwendungsnahe
Aufgaben eigenständig in Python bearbeitet.
Leistungsnachweis
Projektaufgabe, Klausur oder mündliche Prüfung
Leistungen in Bezug auf das Modul
PNL 555813 - Intelligent Data Analysis (unbenotet)
BM3 - Advanced Problem Solving Techniques
88616 KU - Advanced Problem Solving Techniques
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF N.N. N.N. Block N.N. N.N. Javier Romero Davila,
Francois Laferriere, Prof.
Dr. Torsten Schaub,
Etienne Tignon
Zulassung, Raum und Zeit nach Absprache
Kommentar
Zulassung nach Absprache
Medium practical assignment accompanying the course, and preferably accomplished in a small group of preferably two
persons
Leistungsnachweis
Successfully accomplished medium assignment, including report and presentation
Leistungen in Bezug auf das Modul
PNL 555914 - Projekt (unbenotet)
5
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
88617 DF - Advanced Problem Solving Techniques
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF N.N. N.N. Block N.N. N.N. Javier Romero Davila,
Francois Laferriere, Prof.
Dr. Torsten Schaub,
Etienne Tignon
Zulassung, Raum und Zeit nach Absprache
Kommentar
Zulassung nach Absprache
Leistungsnachweis
Successfully accomplished assignments
Leistungen in Bezug auf das Modul
PNL 555913 - Praktikum (unbenotet)
IM1 - Individual Research Module
85885 PR - Individual Research
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Manfred Stede
Kommentar
This is the course where your IRM is to be registered if it is supervised by Prof. Stede or one of his team members.
Elective Modules
FM1 - Foundations of Mathematics
Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten
FM2 - Foundations of Computer Science
Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten
FM3 - Foundations of Linguistics
Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten
AM11 - Current Topics in Computational Linguistics 1
85862 DF - Human-Robot Interaction: Computational and Psychological perspectives
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF Di 14:15 - 15:45 wöch. Online.Veranstalt 13.04.2021 Prof. Dr. David
Schlangen
6
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Kommentar
This seminar -- jointly given together with Psychology department and also open to the MSc "embodied cognition" -- will
provide an introduction to the field of "human/robot interaction", from a psychological perspective (what kinds of processes
do humanoid robots trigger in humans? how can they be used for psychological studies?) as well as from a natural language
processing perspective (how can verbal communication be modelled with such robots? which particular demands does such a
situated interaction setting put on the language processing?).
This will be a reading- and presentation-based class, and it will be expected that all participants present at least one topic.
The seminar will be held online. The link to join the first meeting (April 13th, 2pm - 4pm) will be posted here in time.
Leistungen in Bezug auf das Modul
PL 822211 - Vorlesung oder Seminar (benotet)
85863 DF - Deep Learning for NLP
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF Di 16:00 - 18:00 wöch. Online.Veranstalt 13.04.2021 Dr. Sharid Indhira
Loáiciga Sánchez
Leistungen in Bezug auf das Modul
PL 822211 - Vorlesung oder Seminar (benotet)
85884 VS - Atelier in Experimental and Computational Phonology
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mi 08:00 - 10:00 wöch. Online.Veranstalt 14.04.2021 Dr. phil. Manfred
Pastätter
Links:
https://moodle2.uni-potsdam.de/course/view.php?id=28907
Kommentar
This course will be held remotely and synchronous . The virtual seminar room will be announced on Moodle.
Please get enrolled in the Moodle course page (follow link above):
Course full name: Pastätter,M.: Atelier in Experimental and Computational Phonology
Course short name: SoSe21_Atelier
Enrolment key: SoSe21_Atelier
Leistungen in Bezug auf das Modul
PL 822211 - Vorlesung oder Seminar (benotet)
85888 S - Text Mining in the Social Sciences
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VS Do 16:00 - 18:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Manfred Stede
Kommentar
We study the role of "text as data" in the Political Sciences (as one prominent case of Social Sciences) and compare their
typical research paradigms to those that are common in the CompLinguistics/NLP community. Text genres of interest will
include parliamentary debate, party manifestos, public documents from NGOs, etc. Prominent methods that we will cover are
the analysis of sentiment and argument, topic modeling, and "scaling", i.e. mapping documents to scales like the "left-right
spectrum". The course has two parts: In phase 1 we read papers, to get acquainted with the PolSci research perspectives,
and in phase 2 students will work on term projects; these can be either software projects or empirical studies.
NOTICE: An info sheet, including the zoom link for the sessions, will be emailed to PULS-registered students on Tuesday April
14th.
Leistungsnachweis
Term project (possibly in groups), either a software project or an empirical study
7
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Leistungen in Bezug auf das Modul
PL 822211 - Vorlesung oder Seminar (benotet)
86845 S - Doing Science and Conducting Research
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 10:00 - 12:00 wöch. Online.Veranstalt 12.04.2021 Brielen Maira Madureira
Lasota
Links:
Course homepage https://briemadu.github.io/science-and-research/
Moodle page https://moodle2.uni-potsdam.de/course/view.php?id=27585
Leistungen in Bezug auf das Modul
PL 822211 - Vorlesung oder Seminar (benotet)
AM12 - Current Topics in Computational Linguistics 2
85862 DF - Human-Robot Interaction: Computational and Psychological perspectives
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF Di 14:15 - 15:45 wöch. Online.Veranstalt 13.04.2021 Prof. Dr. David
Schlangen
Kommentar
This seminar -- jointly given together with Psychology department and also open to the MSc "embodied cognition" -- will
provide an introduction to the field of "human/robot interaction", from a psychological perspective (what kinds of processes
do humanoid robots trigger in humans? how can they be used for psychological studies?) as well as from a natural language
processing perspective (how can verbal communication be modelled with such robots? which particular demands does such a
situated interaction setting put on the language processing?).
This will be a reading- and presentation-based class, and it will be expected that all participants present at least one topic.
The seminar will be held online. The link to join the first meeting (April 13th, 2pm - 4pm) will be posted here in time.
Leistungen in Bezug auf das Modul
PL 822311 - Vorlesung oder Seminar (benotet)
85863 DF - Deep Learning for NLP
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 DF Di 16:00 - 18:00 wöch. Online.Veranstalt 13.04.2021 Dr. Sharid Indhira
Loáiciga Sánchez
Leistungen in Bezug auf das Modul
PL 822311 - Vorlesung oder Seminar (benotet)
85884 VS - Atelier in Experimental and Computational Phonology
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mi 08:00 - 10:00 wöch. Online.Veranstalt 14.04.2021 Dr. phil. Manfred
Pastätter
Links:
https://moodle2.uni-potsdam.de/course/view.php?id=28907
Kommentar
This course will be held remotely and synchronous . The virtual seminar room will be announced on Moodle.
Please get enrolled in the Moodle course page (follow link above):
Course full name: Pastätter,M.: Atelier in Experimental and Computational Phonology
Course short name: SoSe21_Atelier
Enrolment key: SoSe21_Atelier
8
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Leistungen in Bezug auf das Modul
PL 822311 - Vorlesung oder Seminar (benotet)
85888 S - Text Mining in the Social Sciences
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VS Do 16:00 - 18:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Manfred Stede
Kommentar
We study the role of "text as data" in the Political Sciences (as one prominent case of Social Sciences) and compare their
typical research paradigms to those that are common in the CompLinguistics/NLP community. Text genres of interest will
include parliamentary debate, party manifestos, public documents from NGOs, etc. Prominent methods that we will cover are
the analysis of sentiment and argument, topic modeling, and "scaling", i.e. mapping documents to scales like the "left-right
spectrum". The course has two parts: In phase 1 we read papers, to get acquainted with the PolSci research perspectives,
and in phase 2 students will work on term projects; these can be either software projects or empirical studies.
NOTICE: An info sheet, including the zoom link for the sessions, will be emailed to PULS-registered students on Tuesday April
14th.
Leistungsnachweis
Term project (possibly in groups), either a software project or an empirical study
Leistungen in Bezug auf das Modul
PL 822311 - Vorlesung oder Seminar (benotet)
86845 S - Doing Science and Conducting Research
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 10:00 - 12:00 wöch. Online.Veranstalt 12.04.2021 Brielen Maira Madureira
Lasota
Links:
Course homepage https://briemadu.github.io/science-and-research/
Moodle page https://moodle2.uni-potsdam.de/course/view.php?id=27585
Leistungen in Bezug auf das Modul
PL 822311 - Vorlesung oder Seminar (benotet)
AM21 - Current Topics in Machine Learning 1
86254 VS - Bayesian statistical inference 2
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VS Fr 10:00 - 12:00 wöch. Online.Veranstalt 16.04.2021 Prof. Dr. Shravan
Vasishth
Kommentar
To take part in this course, please enroll over moodle:
https://moodle2.uni-potsdam.de/course/view.php?id=28661
Enrollment key: SU2021
Leistungen in Bezug auf das Modul
PL 822411 - Vorlesung oder Seminar (benotet)
86845 S - Doing Science and Conducting Research
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 10:00 - 12:00 wöch. Online.Veranstalt 12.04.2021 Brielen Maira Madureira
Lasota
9
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Links:
Course homepage https://briemadu.github.io/science-and-research/
Moodle page https://moodle2.uni-potsdam.de/course/view.php?id=27585
Leistungen in Bezug auf das Modul
PL 822411 - Vorlesung oder Seminar (benotet)
89026 PR - Individuelles Praktikum 2
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
2 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822411 - Vorlesung oder Seminar (benotet)
89027 PR - Individuelles Praktikum 1
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822411 - Vorlesung oder Seminar (benotet)
AM22 - Current Topics in Machine Learning 2
86254 VS - Bayesian statistical inference 2
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VS Fr 10:00 - 12:00 wöch. Online.Veranstalt 16.04.2021 Prof. Dr. Shravan
Vasishth
Kommentar
To take part in this course, please enroll over moodle:
https://moodle2.uni-potsdam.de/course/view.php?id=28661
Enrollment key: SU2021
Leistungen in Bezug auf das Modul
PL 822511 - Vorlesung oder Seminar (benotet)
86845 S - Doing Science and Conducting Research
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 10:00 - 12:00 wöch. Online.Veranstalt 12.04.2021 Brielen Maira Madureira
Lasota
Links:
Course homepage https://briemadu.github.io/science-and-research/
Moodle page https://moodle2.uni-potsdam.de/course/view.php?id=27585
Leistungen in Bezug auf das Modul
PL 822511 - Vorlesung oder Seminar (benotet)
89026 PR - Individuelles Praktikum 2
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
2 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822511 - Vorlesung oder Seminar (benotet)
10
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
89027 PR - Individuelles Praktikum 1
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822511 - Vorlesung oder Seminar (benotet)
AM31 - Current Topics in Computational Intelligence 1
86432 S - Current Topics in Computational Intelligence
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Di 12:00 - 14:00 wöch. Online.Veranstalt 20.04.2021 Prof. Dr. Torsten Schaub,
Javier Romero Davila,
Etienne Tignon
Kommentar
As its name suggestions, this power seminar deals with currently hot topics in Artificial Intelligence, and has hence a varying
conents each semester
Check the moodle page and join us at the first event to learn more about it!
Bemerkung
ATTENTION! This course was merged into the course "Multi-agent path-finding"
Leistungen in Bezug auf das Modul
PL 556111 - Vorlesung oder Seminar (benotet)
86433 DF - Multi-agent path finding
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VU Mo 14:00 - 16:00 wöch. Online.Veranstalt 19.04.2021 Prof. Dr. Torsten Schaub,
Etienne Tignon
Leistungen in Bezug auf das Modul
PL 556111 - Vorlesung oder Seminar (benotet)
87858 S - Cognitive and Sensorimotor Development
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VO Mi 12:15 - 13:45 Einzel Online.Veranstalt 21.04.2021 Elena Kulkova
1 B N.N. 10:00 - 18:00 Block Online.Veranstalt 26.07.2021 Elena Kulkova
Links:
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mspsy20122/lehrveranstaltung/k32010-e.html
for M.Sc. in Psychology (as of
Winter 2012/13)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mscog20142/lehrveranstaltung/k32010-e.html
for M.Sc. in Cognitive
Systems: Language, Learning
and Reasoning (as of Winter
2014/15)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mscse20162/lehrveranstaltung/k32010-e.html
for M.Sc. in Cognitive
Sciences (as of Winter
2016/17)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/msmac20192/lehrveranstaltung/k32010-e.html
for M.Sc. in Mathematics (as
of Winter 2019/20)
Kommentar
Normal registration through PULS - Module-based seat allocation, enrollment by the instructor
11
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Lerninhalte
To see course content, grading, literature, seat assignment, seat limits, enrollment, prerequisites, notes, and other course
information in English or in German follow the link to your study program in Additional Links
Kurzkommentar
Sessions: week-long course with preparatory meeting - Course sessions online
Zielgruppe
M.Sc. in Psychology, M.Sc. in Cognitive Systems: Language, Learning and Reasoning, M.Sc. in Cognitive Sciences, M.Sc. in
Mathematics
Leistungen in Bezug auf das Modul
PL 556111 - Vorlesung oder Seminar (benotet)
AM32 - Current Topics in Computational Intelligence 2
86432 S - Current Topics in Computational Intelligence
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Di 12:00 - 14:00 wöch. Online.Veranstalt 20.04.2021 Prof. Dr. Torsten Schaub,
Javier Romero Davila,
Etienne Tignon
Kommentar
As its name suggestions, this power seminar deals with currently hot topics in Artificial Intelligence, and has hence a varying
conents each semester
Check the moodle page and join us at the first event to learn more about it!
Bemerkung
ATTENTION! This course was merged into the course "Multi-agent path-finding"
Leistungen in Bezug auf das Modul
PL 556211 - Vorlesung oder Seminar (benotet)
86433 DF - Multi-agent path finding
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VU Mo 14:00 - 16:00 wöch. Online.Veranstalt 19.04.2021 Prof. Dr. Torsten Schaub,
Etienne Tignon
Leistungen in Bezug auf das Modul
PL 556211 - Vorlesung oder Seminar (benotet)
87858 S - Cognitive and Sensorimotor Development
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 VO Mi 12:15 - 13:45 Einzel Online.Veranstalt 21.04.2021 Elena Kulkova
1 B N.N. 10:00 - 18:00 Block Online.Veranstalt 26.07.2021 Elena Kulkova
12
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Links:
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mspsy20122/lehrveranstaltung/k32010-e.html
for M.Sc. in Psychology (as of
Winter 2012/13)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mscog20142/lehrveranstaltung/k32010-e.html
for M.Sc. in Cognitive
Systems: Language, Learning
and Reasoning (as of Winter
2014/15)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/mscse20162/lehrveranstaltung/k32010-e.html
for M.Sc. in Cognitive
Sciences (as of Winter
2016/17)
complete course information http://lehre.psych.uni-potsdam.de/klv/s2021s/msmac20192/lehrveranstaltung/k32010-e.html
for M.Sc. in Mathematics (as
of Winter 2019/20)
Kommentar
Normal registration through PULS - Module-based seat allocation, enrollment by the instructor
Lerninhalte
To see course content, grading, literature, seat assignment, seat limits, enrollment, prerequisites, notes, and other course
information in English or in German follow the link to your study program in Additional Links
Kurzkommentar
Sessions: week-long course with preparatory meeting - Course sessions online
Zielgruppe
M.Sc. in Psychology, M.Sc. in Cognitive Systems: Language, Learning and Reasoning, M.Sc. in Cognitive Sciences, M.Sc. in
Mathematics
Leistungen in Bezug auf das Modul
PL 556211 - Vorlesung oder Seminar (benotet)
Project Seminar
PM1 - Project in Computational Linguistics
85868 S - Project Seminar: Building an Interactive Language and Vision Bot
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Do 10:00 - 12:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. David
Schlangen, Philipp
Sadler
Kommentar
In this project seminar we will build an interactive system that can serve as the "eyes" of the user, through which the user can
investigate a virtual environment. More specifically, the goal is to use (and potentially improve) current deep learning-based
models that can describe images, in the context of an interactive system that is controlled with verbal (written) commands.
The students will gain familiarity with current state-of-the-art models in Language and Vision (a field at the intersection
between computer vision and natural language processing), as well as approaches to modelling dialogue. A particular feature
will be the emphasis on actually deploying these models in an interactive setting.
The project will be group work, with the division of tasks to be determined in the first meetings. (The meetings will be remote,
and the work has to be coordinated remotely as well.)
The first meeting will take place on April 15, 10-12am, via Zoom;
https://uni-potsdam.zoom.us/j/62000158597 (pass code: 70925317 )
13
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Leistungen in Bezug auf das Modul
PL 822611 - Seminar (benotet)
88566 S - Cooperative Task-Solving with an Embodied Artificial Agent
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 12:00 - 14:00 wöch. Online.Veranstalt 12.04.2021 Dr. Maike Paetzel-
Prüsmann
Kommentar
”Alexa, can you help me assemble this shelf?” Interactions like these are still far from the scientific reality and that’s not merely
because robotic hardware development is still lacking behind. The amount of
reasoning and human-robot cooperation that is required to solve this task is complex: The robot needs to understand what
a shelf is, what needs to be done to assemble one, observe what the human is doing and infer what actions could best
support the human in the given task. The aim of this project is to get an understanding of the complexity of such human-agent
collaboration from a practical and theoretical perspective. To abstract from the challenges of robotic hardware, we will use
Minetest (an open-source version of Minecraft) as a testbed in this course. Given a simple embodied Minetest agent, your
task will be to write a dialogue- and action-system for this agent that is able to perform meaningful tasks by listening to the
commands and observing the actions of the human player. The project work will be performed in teams and the focus of each
project, as well as the collaborative task to perform, can be decided freely by each team. The practical project work will be
enhanced by a series of seminar talks and paper discussions to get a better understanding of the fundamentals of embodied
interaction.
Voraussetzung
To follow the course, you need to have completed your Basic Modules and have a solid foundation in programming, ideally in
Python.
Bemerkung
The weekly meetings take place on Zoom: https://uni-potsdam.zoom.us/j/63968682642 (Passcode: 67347105)
The first meeting is Monday, April 12th at 12:15 on Zoom. If you want to join the project, please make sure to be present
during the first session or write me an e-mail if you cannot make it.
Leistungen in Bezug auf das Modul
PL 822611 - Seminar (benotet)
PM2 - Project in Machine Learning
85868 S - Project Seminar: Building an Interactive Language and Vision Bot
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Do 10:00 - 12:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. David
Schlangen, Philipp
Sadler
Kommentar
In this project seminar we will build an interactive system that can serve as the "eyes" of the user, through which the user can
investigate a virtual environment. More specifically, the goal is to use (and potentially improve) current deep learning-based
models that can describe images, in the context of an interactive system that is controlled with verbal (written) commands.
The students will gain familiarity with current state-of-the-art models in Language and Vision (a field at the intersection
between computer vision and natural language processing), as well as approaches to modelling dialogue. A particular feature
will be the emphasis on actually deploying these models in an interactive setting.
The project will be group work, with the division of tasks to be determined in the first meetings. (The meetings will be remote,
and the work has to be coordinated remotely as well.)
The first meeting will take place on April 15, 10-12am, via Zoom;
https://uni-potsdam.zoom.us/j/62000158597 (pass code: 70925317 )
14
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Leistungen in Bezug auf das Modul
PL 822711 - Seminar (benotet)
88566 S - Cooperative Task-Solving with an Embodied Artificial Agent
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 S Mo 12:00 - 14:00 wöch. Online.Veranstalt 12.04.2021 Dr. Maike Paetzel-
Prüsmann
Kommentar
”Alexa, can you help me assemble this shelf?” Interactions like these are still far from the scientific reality and that’s not merely
because robotic hardware development is still lacking behind. The amount of
reasoning and human-robot cooperation that is required to solve this task is complex: The robot needs to understand what
a shelf is, what needs to be done to assemble one, observe what the human is doing and infer what actions could best
support the human in the given task. The aim of this project is to get an understanding of the complexity of such human-agent
collaboration from a practical and theoretical perspective. To abstract from the challenges of robotic hardware, we will use
Minetest (an open-source version of Minecraft) as a testbed in this course. Given a simple embodied Minetest agent, your
task will be to write a dialogue- and action-system for this agent that is able to perform meaningful tasks by listening to the
commands and observing the actions of the human player. The project work will be performed in teams and the focus of each
project, as well as the collaborative task to perform, can be decided freely by each team. The practical project work will be
enhanced by a series of seminar talks and paper discussions to get a better understanding of the fundamentals of embodied
interaction.
Voraussetzung
To follow the course, you need to have completed your Basic Modules and have a solid foundation in programming, ideally in
Python.
Bemerkung
The weekly meetings take place on Zoom: https://uni-potsdam.zoom.us/j/63968682642 (Passcode: 67347105)
The first meeting is Monday, April 12th at 12:15 on Zoom. If you want to join the project, please make sure to be present
during the first session or write me an e-mail if you cannot make it.
Leistungen in Bezug auf das Modul
PL 822711 - Seminar (benotet)
89026 PR - Individuelles Praktikum 2
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
2 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822711 - Seminar (benotet)
89027 PR - Individuelles Praktikum 1
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PR N.N. N.N. wöch. N.N. N.N. Prof. Dr. Tobias Scheffer
Leistungen in Bezug auf das Modul
PL 822711 - Seminar (benotet)
PM3 - Project in Computational Intelligence
86429 PJ - Intelligent Logistics Technology
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PJ Mo 12:00 - 14:00 wöch. Online.Veranstalt 26.04.2021 Prof. Dr. Torsten Schaub,
Javier Romero Davila,
Francois Laferriere,
Etienne Tignon
15
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Links:
moodle https://moodle2.uni-potsdam.de/course/view.php?id=23470
Kommentar
In this project, student teams build software systems addressing problems in warehouse logistics using problem solvers for
answer set programming
Voraussetzung
Knowledge in answer set programming (and python).
Leistungsnachweis
Implementation, evaluation, presentation, and documentation.
Bemerkung
Offline communication is conducted primarily via the associated moodle page.
Announcements are also made through the email list of registered students in puls.
Questions can be address to krprojects@lists.cs.uni-potsdam.de .
Lerninhalte
On individual basis.
Kurzkommentar
Joint kick-off event for all projects of the professorship Knowledge Processing and Information Systems as announced in
course catalog of the department and the associated moodle page.
Zielgruppe
Students interested in applying AI-techniques in logistics
Leistungen in Bezug auf das Modul
PL 556311 - Seminar (benotet)
86430 PJ - Solver Construction
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PJ Mo 12:00 - 14:00 wöch. Online.Veranstalt 26.04.2021 Javier Romero Davila,
Francois Laferriere, Prof.
Dr. Torsten Schaub,
Etienne Tignon
Links:
moodle https://moodle2.uni-potsdam.de/course/view.php?id=23470
Kommentar
In this project, student teams build their own problem solvers (or components thereof) based on modern constraint technology.
Foremost this concerns ASP solving technology but equally well that of SAT, PB and related areas.
Voraussetzung
Good knowledge in ASP and/or SAT technology and python and/or C++
Literatur
• Answer Set Solving in Practice by Martin Gebser, Roland Kaminski, Benjamin Kaufmann, and Torsten Schaub
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan and Claypool
16
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Leistungsnachweis
Implementation, evaluation, presentation, and documentation
Bemerkung
Offline communication is conducted primarily via the associated moodle page.
Announcements are also made through the email list of registered students in puls.
Questions can be address to krprojects@lists.cs.uni-potsdam.de .
Lerninhalte
On individual basis
Kurzkommentar
Joint kick-off event for all projects of the professorship Knowledge Processing and Information Systems as announced in
course catalog of the department and the assiciated moodle page
Zielgruppe
Students interested in high-end programming
Leistungen in Bezug auf das Modul
PL 556311 - Seminar (benotet)
86431 PJ - Declarative Problem Solving
Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft
1 PJ Mo 12:00 - 14:00 wöch. Online.Veranstalt 26.04.2021 Francois Laferriere,
Javier Romero Davila,
Prof. Dr. Torsten Schaub
Links:
moodle https://moodle2.uni-potsdam.de/course/view.php?id=23470
Kommentar
In this project, student teams build software systems whose core consists of problem solvers for combinatorial (optimization)
problems, like answer set programming
Voraussetzung
Good knowledge in ASP and/or SAT.
Leistungsnachweis
Implementation, evaluation, presentation, and documentation
Bemerkung
Offline communication is conducted primarily via the associated moodle page.
Announcements are also made through the email list of registered students in puls.
Questions can be address to krprojects@lists.cs.uni-potsdam.de. krprojects@lists.cs.uni-potsdam.de
Lerninhalte
On individual basis
17
Abkürzungen entnehmen Sie bitte Seite 4Master of Science - Cognitive Systems: Language, Learning and Reasoning - Prüfungsversion Wintersemester 2014/15
Kurzkommentar
Joint kick-off event for all projects of the professorship Knowledge Processing and Information Systems as announced in
course catalogue of the department and the associated moodle page
Zielgruppe
MSc students who want to deepen their practical knowledge in declarative modelling techniques and their application
Leistungen in Bezug auf das Modul
PL 556311 - Seminar (benotet)
18
Abkürzungen entnehmen Sie bitte Seite 4Glossar
Glossar
Die folgenden Begriffserklärungen zu Prüfungsleistung, Prüfungsnebenleistung und Studienleistung gelten im Bezug auf
Lehrveranstaltungen für alle Ordnungen, die seit dem WiSe 2013/14 in Kranft getreten sind.
Prüfungsleistung Prüfungsleistungen sind benotete Leistungen innerhalb eines Moduls. Aus der Benotung
der Prüfungsleistung(en) bildet sich die Modulnote, die in die Gesamtnote des Studiengangs
eingeht. Handelt es sich um eine unbenotete Prüfungsleistung, so muss dieses ausdrücklich
(„unbenotet“) in der Modulbeschreibung der fachspezifischen Ordnung geregelt sein. Weitere
Informationen, auch zu den Anmeldemöglichkeiten von Prüfungsleistungen, finden Sie unter
anderem in der Kommentierung der BaMa-O
Prüfungsnebenleistung Prüfungsnebenleistungen sind für den Abschluss eines Moduls relevante Leistungen, die
– soweit sie vorgesehen sind – in der Modulbeschreibung der fachspezifischen Ordnung
beschrieben sind. Prüfungsnebenleistungen sind immer unbenotet und werden lediglich
mit "bestanden" bzw. "nicht bestanden" bewertet. Die Modulbeschreibung regelt, ob
die Prüfungsnebenleistung eine Teilnahmevoraussetzung für eine Modulprüfung oder
eine Abschlussvoraussetzung für ein ganzes Modul ist. Als Teilnahmevoraussetzung
für eine Modulprüfung muss die Prüfungsnebenleistung erfolgreich vor der Anmeldung
bzw. Teilnahme an der Modulprüfung erbracht worden sein. Auch für Erbringung einer
Prüfungsnebenleistungen wird eine Anmeldung vorausgesetzt. Diese fällt immer mit
der Belegung der Lehrveranstaltung zusammen, da Prüfungsnebenleistung im Rahmen
einer Lehrveranstaltungen absolviert werden. Sieht also Ihre fachspezifische Ordnung
Prüfungsnebenleistungen bei Lehrveranstaltungen vor, sind diese Lehrveranstaltungen
zwingend zu belegen, um die Prüfungsnebenleistung absolvieren zu können.
Studienleistung Als Studienleistung werden Leistungen bezeichnet, die weder Prüfungsleistungen noch
Prüfungsnebenleistungen sind.
19Impressum
Herausgeber Rechtsform und gesetzliche Vertretung
Am Neuen Palais 10 Die Universität Potsdam ist eine Körperschaft des Öffentlichen Rechts. Sie wird
14469 Potsdam gesetzlich vertreten durch Prof. Oliver Günther, Ph.D., Präsident der Universität
Potsdam, Am Neuen Palais 10, 14469 Potsdam.
Telefon: +49 331/977-0
Fax: +49 331/972163 Zuständige Aufsichtsbehörde
E-mail: presse@uni-potsdam.de Ministerium für Wissenschaft, Forschung und Kultur des Landes Brandenburg
Internet: www.uni-potsdam.de Dortustr. 36
14467 Potsdam
Umsatzsteueridentifikationsnummer
DE138408327 Inhaltliche Verantwortlichkeit i. S. v. § 5 TMG und § 55 Abs. 2
RStV
Layout und Gestaltung Referat für Presse- und Öffentlichkeitsarbeit
jung-design.net Referatsleiterin und Sprecherin der Universität
Silke Engel
Druck Am Neuen Palais 10
13.9.2021 14469 Potsdam
Telefon: +49 331/977-1474
Fax: +49 331/977-1130
E-mail: presse@uni-potsdam.de
Die einzelnen Fakultäten, Institute und Einrichtungen der Universität Potsdam sind für die Inhalte und Informationen ihrer
Lehrveranstaltungen zuständig.puls.uni-potsdam.de
Sie können auch lesen
