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---
layout: course
title: AI 1/2 Systems Project
instructors:
- mkohlhase
- jfschaefer
semesters:
- WS21/22
- WS22/23
- WS23/24
- WS24/25
- SS22
- SS23
- SS24
- SS25
- SS26
---
##### AI-1 and AI-2 systems project
The AI systems projects are designed to provide hands-on experience for the topics covered in the AI lectures.
The AI-1 Systems Project focuses on the symbolic methods discussed in the [AI-1 lecture](https://kwarc.info/courses/ai1/) (search, SAT solving, semantic web, planning, ...)
and the AI-2 Systems Project focuses on the subsymbolic methods covered by the [AI-2 lecture](https://kwarc.info/courses/ai2/) (Bayesian networks, (hidden) markov problems, machine learning, ...).
Each AI systems project is worth 10 ECTS.
Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies.
If you need two projects, you can also take both, but you cannot start both at the same time.
**Requirements:** There are no formal requirements, but we strongly recommend
that you either have taken the AI lecture or will take it in parallel.
Furthermore, you should have substantial programming experience (the programming language is not important) because you will have to program a lot.
In particular, the AI systems project is not a programming course, i.e. we expect that you are already proficient.
##### What happens in the project?
The project will consist of several large problems (≈6), which you will work on individually or in small teams.
Each problem will require a substantial amount of programming work - after all the project is worth 10 ECTS.
You can take a look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/) to get a first impression.
The first problem is a warm-up problem, which you have to solve alone, so that you can judge whether the project works for you.
The remaining problems are intended to be solved in teams of size 2.
Furthermore, you will have to write a report on one of the problems and have a small presentation (or rather, a section of a presentation together with other people).
The details will be discussed in the admin meeting.
##### Sign-up
You can sign up for the AI systems project via [StudOn](https://www.studon.fau.de/crs6243066.html)
(sign-up is independent of whether you are interested in the AI-1 or AI-2 systems project).
You will probably be placed on a waiting list (this is normal; demand is high). We first accept people from the waiting list of the previous semester, so the course may already be fuller than indicated.
However, we will regularly accept new people throughtout the semester,
whenever students have finished or dropped out.
The project is designed in a way that you can join at any point, including in the middle of the semester.
In that case your project would simply continue for a while after the semester ends.
**Important: Make sure to regularly check if you have been admitted (you should also get an email notification).
If you miss some of the early deadlines, we assume that you are not interested in the project and will remove you to give other students a chance.**
##### Timeline
The project timeline is quite flexible:
* You can request to join the project at any time, and at regular intervals we will admit new people (the capacity is limited, so you might have to wait).
* Once we have admitted you, we will have an admin meeting, in which we will discuss more details about the project.
Check the StudOn forum for information on the time of the next admin meeting.
Afterwards, you should follow the onboarding guide (posted on StudOn).
You can still drop the project later on.
* Then you can get started with the warm-up problem.
The warm-up problem has to be solved individually and is a requirement to take the project.
It is also an opportunity for you to see if the project works for you. You can still decide to drop the project after starting the warm-up problem.
* Once you have solved the warm-up problem, you can sign up to solve the other ≈5 problems. These are intended to be solved in teams of size two,
but currently we also allow teams of size one (that might change at any point though).
Each problem is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
* You will have to give a presentation on one of the problems. We will use some sort of sign-up process for that as well.
* You will have to write a report on one of the problems (can be the one you present). Furthermore, we will simulate double-blind peer review,
which means that you will have to write 3 anonymous reviews for other students' reports.
**Important:**
You will have to take initiative to finish the project.
That means actively following the announcements (e.g. about new problems or available presentation slots), making sure that you sign up for problems and reach out if you need anything.
Simply joining the StudOn course is not enough.
**As the number of spaces in the project is limited, we will remove students from the project who do not finish the on-boarding procedure in time or who do not submit a preliminary solution to the warm-up problem on time.**
If you have been removed, you can join the waiting list again.
##### It's different from "Projekt zur Künstlichen Intelligenz"
You might also find references to "Projekt zur Künstlichen Intelligenz (P KI)".
Despite the similar names, they are very different:
The systems project (as described on this page) is organized more like a course, parallel to the AI lecture,
and every student will work on the same set of problems.
"P KI", on the other hand, is an individual research project with the kwarc group.
In the AI Master you need two projects, so you could even take both (then taking the systems project first is probably a good idea).
##### Contact
If you have any questions, feel free to send an email to `"jan frederik schaefer".replace(' ', '.') + "@fau.de"`.
Note that sending an email will not get you accepted into the project faster.
You can also join [our public AISysProj matrix room](https://matrix.to/#/#aisysproj-non-members:fau.de).
Matrix is a communications platform that is supported by FAU. We will use it to communicate during the AI systems project.
You can find instructions for joining Matrix at FAU [here](https://www.anleitungen.rrze.fau.de/serverdienste/matrix-an-der-fau/erste-schritte/) (only in German, unfortunately).
---
layout: course
title: Informatische Werkzeuge in den Geistes- und Sozialwissenschaften IWGS-I
instructors:
- mkohlhase
semesters:
- WS18/19
- WS19/20
- WS20/21
- WS21/22
- WS22/23
- WS23/24
- WS24/25
- WS25/26
---
Diese Vorlesung ist der erste Teil einer zwei-semestrigen Einführung.
Das Ziel dieser Vorlesung ist es, Studenten einen Überberblick über die informatischen
Werkzeuge für die Geistes- und Sozialwissenschaften zu geben, sowie intuitiv ihre
Arbeitsweisen und Prinzipien zu erklären. Studenten sollen für die aufkommenden „Digitalen
Geistesund Sozialwissenschaften“ ermächtigt werden. Im Gegensatz zu normalen
Informatikvorlesungen, die primär die mathematischen Grundlagen und Berechnungskonzepte
einführen, die langfristig notwendig sind, die Informatik voll zu verstehen, wollen wir in
dieser Vorlesung Methoden und Werkzeuge einführen, die kurzfristig – am besten unmittelbar
– nützlich werden und so zu motivierenden Erfolgserlebnissen führen. Damit wollen wir den
„Programmierschock“ (das Gehirn hört auf zu arbeiten sobald von Programmen die Rede ist)
verhindern, der so häufig bei Geistes- und Sozialwissenschaftlern auftritt.
Themen in in IWGS-1
* programming in python (main tool in IWGS)
* systematics and culture of programming
* program and control structures
* basic data strutures like numbers and strings, character encodings, unicode, and
regular expressions
* digital documents and document processing
* text files
* markup systems, HTML, and CSS
* Data bases and Data Storage
* Entity Relationship diagrams,
* CRUD operations, and DB querying
* XML and JSON for file-based data storage
* Web technologies for interactive documents and applications
* Internet infrastructure: web browsers and servers
* PHP, dynamic HTML, Javascript, HTML forms
* Web Application Project (design your own!)
Die Kursmaterialien (z.B. [Course Notes](http://kwarc.info/teaching/IWGS/notes.pdf) oder
[Aufgaben](http://kwarc.info/teaching/IWGS/assignments.pdf), aber auch alte Klausuren)
finden sich in [hier](http://kwarc.info/teaching/IWGS/).
Diskussionen finden auf dem
[Studon Forum IWGS](https://www.studon.fau.de/frm2319978.html) statt. Dies ist
eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
schnell auf Fragen zu antworten. Also das Forum abonnieren!
---
layout: course
title: Informatische Werkzeuge in den Geistes- und Sozialwissenschaften IWGS-II
instructors:
- mkohlhase
semesters:
- SS19
- SS20
- SS21
- SS22
- SS23
- SS24
- SS25
---
Diese Vorlesung ist der zweite Teil einer zwei-semestrigen Einführung
([IWGS-1](/courses/iwgs1/)
Das Ziel dieser Vorlesung ist es, Studenten einen Überberblick über die informatischen
Werkzeuge für die Geistes- und Sozialwissenschaften zu geben, sowie intuitiv ihre
Arbeitsweisen und Prinzipien zu erklären. Studenten sollen für die aufkommenden „Digitalen
Geistesund Sozialwissenschaften“ ermächtigt werden. Im Gegensatz zu normalen
Informatikvorlesungen, die primär die mathematischen Grundlagen und Berechnungskonzepte
einführen, die langfristig notwendig sind, die Informatik voll zu verstehen, wollen wir in
dieser Vorlesung Methoden und Werkzeuge einführen, die kurzfristig – am besten unmittelbar
– nützlich werden und so zu motivierenden Erfolgserlebnissen führen. Damit wollen wir den
„Programmierschock“ (das Gehirn hört auf zu arbeiten sobald von Programmen die Rede ist)
verhindern, der so häufig bei Geistes- und Sozialwissenschaftlern auftritt.
Themen in in IWGS-1
tba
Die Kursmaterialien (z.B. [Course Notes](http://kwarc.info/teaching/IWGS/notes.pdf) oder
[Aufgaben](http://kwarc.info/teaching/IWGS/assignments.pdf), aber auch alte Klausuren)
finden sich in [hier](http://kwarc.info/teaching/IWGS/).
Diskussionen finden auf dem
[Studon Forum IWGS](https://www.studon.fau.de/frm2319978.html) statt. Dies ist
eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
schnell auf Fragen zu antworten. Also das Forum abonnieren!
......@@ -3,9 +3,16 @@ layout: course
title: Logik-Basierte Sprachverarbeitung (LBS)
instructors:
- mkohlhase
- dmueller
- jfschaefer
semesters:
- WS17/18
- WS18/19
- WS19/20
- WS20/21
- WS21/22
- WS22/23
- WS23/24
- WS24/25
---
Dieser Kurs behandelt Grundlagen der logikbasierten Sprachverarbeitung - Syntax,
......@@ -24,7 +31,12 @@ Die Vorlesung
aus dem vorhergehenden Sommer-Semester ist sehr hilfreich für den praktischen Teil, aber
keine notwendige Voraussetzung.
Die Kursmaterialien (wichtig vor allem die
[course notes](https://kwarc.info/teaching/LBS/notes.pdf), aber auch Hausaufgaben)
finden sich [hier](https://kwarc.info/teaching/LBS/). Die Resourcen des LBS Labs sind
im [LBS Lab Repository](https://gl.mathhub.info/Teaching/LBS) auf [MathHub](http://mathhub.info).
Diskussionen finden auf dem
[FSI Forum LBS](https://fsi.cs.fau.de/forum/152-Logik-Basierte-Sprachverarbeitung) statt. Dies ist
StudOn-Forum statt. Dies ist
eine wichtige Quelle von Rat und Tat. Wir bemühen uns, auf dem Forum präsent zu sein, und
schnell auf Fragen zu antworten. Also das Forum abonnieren!
---
layout: course
title: Seminar for mathematical data
instructors:
semesters:
- SS20
---
This seminar grew out of the planned April 2020 [bilateral](https://kwarc.info/projects/mdh/)
workshop on mathematical data from Ljubljana to an online setting.
The main goal is to build and interconnect the community of people
interested in data generated within mathematical research as well as data related
to mathematics in other ways.
The seminar will aim for a relaxed atmosphere and shorter talks, with plenty of
time for discussion.
- Time: Fridays, 14:00-15:30 (12:00-13:30 UTC)
- Zoom ID of the seminar will be posted with each announcement.
Announcements will be posted on the [KWARC mathematical data mailing list](http://lists.informatik.uni-erlangen.de/mailman/listinfo/math-data).
### Upcoming seminars:
#### ICMS discussion
- *Time*: Friday, July 24, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom, ID 933 8933 3092
- *Speaker*: roundtable
**Abstract.** We will discuss talks and discussions from the International Congress on Mathematical Software,
especially the two sessions related to data in mathematics.
### Past seminars:
##### The Knowledge of Mathematics
- *Time*: Friday, July 3, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom ID: 960 8031 7108
- *Speaker*: Patrick Ion (Mathematical Reviews (retd.), University of Michigan, Ann Arbor, MI)
**Abstract.** Mathematics is a body of knowledge, and it has many representations. A
library is traditionally a repository of materials that provide access to knowledge.
The idea of a universal library, or of one just for mathematics, has long been an
obvious one. In the modern day (last century or so) it has come up again from
time to time with each new technological change and notion of representing
mathematics. Working forward from a resolution of the International Mathematical
Union in 2006 efforts have been under taken to realize a Global Digital Mathematics Library. As part of this an International Mathematical Knowledge Trust has been
founded. I will speak of grand plans, small successes and enormous challenges
that remain in describing some of recent GDML/IMKT activity. This will be from
the point of view I've acquired as a result of watching the field from
Math Reviews (MR) for 30 years or so, being involved with TeX and databases
at MR and with creation of MathML, as well as trying to understand a little bit
of specific subjects (quantum field theory and statistical mechanics, hyperfunctions,
non-commutative geometry, quantum stochastic processes---i.e., anti-Gauss: "multa sed immatura")
##### The Role of Data in Discrete Mathematics
- *Time*: Friday, June 19, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom ID: 973 9039 7028
- *Speaker*: Gabe Cunningham (University of Massachusetts Boston)
**Abstract.** In mathematics, a well-chosen example can help guide our intuition or
illustrate the edge-cases of our definitions.
When studying discrete objects, we can go for quantity over quality and generate
all examples of objects satisfying certain properties and up to a certain size.
How can we actually use this data for doing mathematics?
What are the barriers that prevent us from making better use of data?
In this talk, I will describe the role that data has played in my own research.
I will highlight the data repositories that currently exist in my community,
and I will discuss why I think better tools are needed and why they wouldn't ever be made without MathDataHub.
Finally, I will talk briefly about some work in progress with Katja Berčič and Jukka Kohonen
toward developing some new data sets and a Sage package to help my research community.
##### Big Math and the One-Brain Barrier -- The Tetrapod Model of Mathematical Knowledge
- *Time*: Friday, June 5, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom ID: 939 0067 6059
- *Speaker*: Michael Kohlhase (FAU)
**Abstract.** In this talk I will present an information model for doing mathematics,
which posits that humans very efficiently integrate five aspects of mathematics:
inference, computation, concretization, narration, and organization.
The challenge for mathematical software systems is to integrate these five aspects in the same way humans do.
The Tetrapod model has cristallized out of almost two decades of work on
mathematical knowledge representation and permeates the work of the KWARC group.
The model is relevant to the MathDataHub effort as it will guide the further development
of the MathHub system (MathDataHub is seen as the concretization facet of MathHub).
##### MathDataHub - your dataset, but FAIR
- *Time*: Friday, May 22, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom ID: 998 0468 1137
- *Speaker*: Tom Wiesing (FAU)
- [Slides](https://kwarc.info/people/twiesing/pubs/slides/2020_05_22_mdh.pdf)
**Abstract.** MathDataHub provides dataset hosting and a searchable interface for the hosted dataset.
It was developed by Katja Berčič, Michael Kohlhase, Florian Rabe, and Tom Wiesing.
In this talk I will give a basic introduction and overview of the system.
##### An overview of mathematical data (Welcome to the seminar)
- *Time*: Friday, May 8, 2020 from 14:00 to 15:30 (Central European Summer Time, UTC+2)
- *Location*: online at Zoom ID: 995-5145-1656
- *Speaker*: Katja Berčič (FAU)
**Abstract.** I will present some of the topics that are relevant for data in
mathematics: the state of the art, technical and theoretical issues that arise,
as well as broader trends in scientific research data.
......@@ -3,6 +3,7 @@ layout: default
title: Former Courses
permalink: /courses/former/
---
The courses given by the KWARC group in the last semesters:
{% assign courses = site.pages | where: "layout", "course" | sort: "title" %}
{% assign semesters = site.semesters.former | reverse %}
......@@ -12,11 +13,11 @@ permalink: /courses/former/
{% if offers.size > 0%}
<ul class="collection with-header">
<li class="collection-header"><h5>{% include semester.html %}</h5></li>
<li class="collection-header"><h5>{% include semester.html semester=semester %}</h5></li>
{% for item in offers %}
{% include course.html %}
{% include course.html item=item %}
{% endfor %}
</ul>
{% endif %}
{% endfor %}
\ No newline at end of file
{% endfor %}
---
layout: default
title: Current Courses ({{site.current}})
title: KWARC - Current Courses
permalink: /courses/
---
{% assign courses = site.pages | where: "layout", "course" | sort: "title" %}
The courses given by the KWARC group in the current semester: {{site.semesters.current}}
<ul class="collection">
{% for item in courses %}
{% if item.semesters contains site.semesters.current %}
{% include course.html %}
{% include course.html item=item %}
{% endif %}
{% endfor %}
</ul>
---
layout: default
title: Upcoming Courses ({{site.upcoming}})
title: Upcoming Courses
permalink: /courses/upcoming/
---
The courses in the upcoming semester: {{site.upcoming}}
{% assign courses = site.pages | where: "layout", "course" | sort: "title" %}
<ul class="collection">
{% for item in courses %}
{% if item.semesters contains site.semesters.upcoming %}
{% include course.html %}
{% include course.html item=item %}
{% endif %}
{% endfor %}
</ul>
---
layout: default
title: Vertiefungsgebiet Künstliche Intelligenz
title: Vertiefungsgebiet KI
---
<table>
<tr>
<th>Studiengang</th>
<th>Sem</th>
<td colspan="2">Bachelor</td>
<td colspan="4">Master</td>
</tr>
<tr>
<th>Empfohlenes Semester</th>
<td/>
<td>5</td><td>6</td><td>1</td><td>2</td><td>3</td><td>4</td>
</tr>
<tr>
<th>Grundlagen-Vorlesung</th>
<th>(WS)</th>
<td colspan="3" style="border-style:solid">
<a href="/courses/ai1/">Künstliche Intelligenz 1</a>
</td>
......@@ -21,13 +24,23 @@ title: Vertiefungsgebiet Künstliche Intelligenz
</tr>
<tr>
<th>Grundlagen-Vorlesung</th>
<th>(SS)</th>
<td/>
<td colspan="3" style="border-style:solid">
<a href="/courses/ai2/">Künstliche Intelligenz 2</a>
</td>
</tr>
<tr>
<th>Vertiefungs-Vorlesung</th>
<th>(SS)</th>
<td/>
<td colspan="5" style="border-style:solid">
<a href="/courses/wuv/">Wissensrepräsentation und -Verarbeitung</a>
</td>
</tr>
<tr>
<th>Spezial-Vorlesung</th>
<th>(WS)</th>
<td colspan="5" style="border-style:solid">
<a href="/courses/lbs/">Logikbasierte Sprachverarbeitung</a>
</td>
......@@ -35,6 +48,7 @@ title: Vertiefungsgebiet Künstliche Intelligenz
</tr>
<tr>
<th>Spezial-Vorlesung</th>
<th>(SS)</th>
<td/>
<td colspan="5" style="border-style:solid">
<a href="/courses/KRMT/">Wissensrepräsentation &amp; -Verarbeitung für die Mathematik</a>
......@@ -42,17 +56,19 @@ title: Vertiefungsgebiet Künstliche Intelligenz
</tr>
<tr>
<th>Seminar</th>
<th>(SS/WS)</th>
<td colspan="6" style="border-style:solid">
<a href="/courses/wuv/">Wissensrepräsentation &amp; -Verarbeitung</a>
<a href="/courses/swuv/">Wissensrepräsentation &amp; -Verarbeitung</a>
</td>
</tr>
<tr>
<th>Projekt</th>
<th>(SS/WS)</th>
<td colspan="2" style="border-style:solid">
<a href="/courses/AIProj/">KI-Projekt</a>
</td>
<td colspan="4" style="border-style:solid">
<a href="/courses/AIProj/">Master-Projekt zur KI</a>
<a href="/courses/AIProj/">Master-Projekt KI</a>
</td>
</tr>
</table>
......@@ -62,11 +78,13 @@ zwei-semestrige Einführungsvorlesung. Diese gibt eine Einführung und exemplari
Die anderen Veranstaltungen gruppieren sich um die
[Forschungsthemen der KWARC Gruppe](/research/):
* In den beiden Spezialvorlesungen behandeln wir im Wechsel
* In der [Vertiefungsvorlesung "Wissensrepräsentation und -Verarbeitung"](/courses/wuv)
wird grundlagenorientiert die formale Repräsentation von verschiedenen Arten von Wissen
vorgestellt.
* In den beiden Spezialvorlesungen behandeln wir im Wechsel
[Wissensrepräsentation für mathematisches Wissen](/courses/KRMT) und
[Logikbasierte Sprachverarbeitung](/courses/lbs/).
* Im [WuV-Seminar](/courses/wuv) vertiefen wir diese durch Diskussion aktueller Forschungsartikel
* Im [Seminar "Wissensrepräsentation und -Verarbeitung"](/courses/swuv) vertiefen wir diese durch Diskussion aktueller Forschungsartikel
* In den [KI-Projekten](/courses/AIProj/) (Master/Bachelor) können Studenten sich
selbst an Forschungsarbeiten zu diesen Themen versuchen. Themen werden individuell
abgesprochen; eine initiale Liste von Projektthemen [findet sich hier](https://gl.kwarc.info/kwarc/thesis-projects).
This diff is collapsed.
---
layout: course
title: Symbolic NLP Project
instructors:
- mkohlhase
- jfschaefer
semesters:
- WS24/25
---
##### Symbolic NLP Project
This 5 ECTS project is a companion to the [LBS course](https://kwarc.info/courses/lbs/)
which introduces logical models for natural language semantics and inferential processes
for natural language understanding.
The project will be to implement these in state of the art
meta-linguistic/logical/computational frameworks developed at the [KWARC
group]{https://kwarc.info).
##### Organization
The project will start in the third week of classes (so that the LBS course can cover some of the material this project wants to implement) with an admin meeting. Details will be announced.
**Requirements:** There are no formal requirements, but we strongly recommend
that you either have taken the LBS course or will take it in parallel. Furthermore, we
assume that you have a high tolerance for logic and declarative programming.
##### What happens in the project?
We will start with an individual warm-up problem, in which you will implement some of the
components of the NLU waterfall in Prolog as a baseline.
All students have to "pass" the
warm-up problem to alone, so that you can judge whether the project works for you.
The
remaining problems are intended to be solved in teams of size 2.
Furthermore, you will
have to write a report on one of the problems and have a small presentation (or rather, a
section of a presentation together with other people). The details will be discussed in
the admin meeting.
##### Sign-up
You can sign up for the AI systems project via
[StudOn](https://www.studon.fau.de/crs5912728.html).
If you miss some of the early deadlines, we assume that you are not interested in the
project and will remove you to give other students a chance.**
**Important:**
You will have to take initiative to finish the project.
That means actively following the announcements (e.g. about new problems or available presentation slots), making sure that you sign up for problems and reach out if you need anything.
Simply joining the StudOn course is not enough.
**As the number of spaces in the project is limited, we will remove students from the project who do not finish the on-boarding procedure in time or who do not submit a preliminary solution to the warm-up problem on time.**
If you have been removed, you can join the waiting list again.
##### Communication
We will use [our public AISysProj matrix room](https://matrix.to/#/#SymNLProj:fau.de) for
most of the data-to-day communication.
Matrix is a communications platform that is supported by FAU.
You can find instructions for joining Matrix at FAU [here](https://www.anleitungen.rrze.fau.de/serverdienste/matrix-an-der-fau/erste-schritte/) (only in German, unfortunately).
<!-- LocalWords: jfschaefer AISysProj
-->
---
layout: page
title: For Students
menu_title: KWARC For Students
title: KWARC Theses
menu_title: Completed Theses
menu_order: 101
---
The KWARC Group welcomes student involvement in research. If you are interested, please send an e-mail to <michael.kohlhase@fau.de>, or come to our seminars and courses
We have an initial list topics for [theses, or guided research](https://gl.kwarc.info/kwarc/thesis-projects)
* [Ph.D. Theses](https://kwarc.github.io/bibs/phdthesis/)
* [M.Sc Theses](https://kwarc.github.io/bibs/mscthesis/)
* [B.Sc Theses](https://gl.kwarc.info/supervision/BSc-archive) (list incomplete)
---
layout: page
title: Thesis Topics & Projects
menu_title: Thesis Topics & Projects
menu_order: 101
---
The KWARC Group welcomes student involvement in research. If you are interested, please
send an e-mail to [<michael.kohlhase@fau.de>](maito:michael.kohlhase@fau.de), or come to
our seminars and courses.
We have an initial list of topics for
[theses, or guided research](https://gl.kwarc.info/kwarc/thesis-projects) which may suit
you, but you can always [help with our systems](/systems/) or [adopt one of our currently orphaned systems](/systems/orphans/) .
---
layout: course
title: Seminar Wissensrepräsentation und -verarbeitung
title: Course Knowledge Representation and Processing (Wissensrepräsentation und -verarbeitung, WuV)
instructors:
- mkohlhase
- frabe
semesters:
- SS17
- WS17/18
- SS20
- SS21
- WS22/23
---
Dieses Seminar behandelt ausgewählte Themen aus dem Gebiet der Wissensrepräsentation und
-Verarbeitung, mit einem Fokus auf mathematisches Wissen.
Die Vortragsthemen sind sehr unterschiedlich im Schwierigkeitsgrad, sie reichen von
Einführungsthemen für ambitionierte Bachelor-Studenten bis zur Forschungsfront für
Doktoranden. Sie spiegeln recht gut die Forschungsinteressen der
[KWARC Gruppe](http://kwarc.info) wieder. Daher ist dieses Seminar sehr gut geeignet um in
die Arbeitsgruppe einzusteigen (z.B. für eine Promotion). Themen werden mit dem Dozenten
ausgemacht.
This is the homepage of the WuV *lecture*, the *seminar* of the same name is a [separate course](/courses/swuv/).
This module provides a general and foundational introduction into knowledge representation and processing.
Human knowledge pervades all areas not only of computer science, but also of all sciences, and this representing and processing this knowledge
in computer systems is in some sense **the** big challenge and potential of using computers.
Hier ist eine Auswahl für das WS 17/18:
Computer science has recognized multiple aspects of knowledge and has developed dedicated representation languages for them.
Over time these have been specialized massively, and the languages, systems, and communities have drifted apart.
Today they include in particular ontology languages and linked data, programming languages and algorithms, data description languages and databases, logics and proofs, as well as formal natural languages and narrative documents.
|Thema | Literatur | Schwierigkeitsgrad | vergeben? | Termin|
|-----|-------|-----|-------|---------|
| OpenMath & SCSCP | [[1]](http://openmath.github.io/standard) | recht einfach | |
| LF-Einführung ||relativ einfach, aber Logik-lastig| | |
| MitM Foundation | | Formalisierung | | |
| Theory Graphs and Viewer | |einfach |Marcel Rupprecht | |
| Weak Type Theory|[[1]](http://www.macs.hw.ac.uk/~fairouz/forest/papers/journals-publications/kjour.pdf)|relativ einfach, aber Logik-lastig| | |
| MathLang| Kamareddine | | |
| Formula Parsing | Ginev M.Sc. | relativ einfach | |
| Math Parsing in Concise | Pichler M.Sc. | relativ einfach | |
| Virtual Theories | | | Tom Wiesing|
| MitM-based integration of CAS | | | Tom Wiesing|
| Isabelle Type Classes and Locales| | logiklastig| |
| LF + Interection Types | | fortgeschritten| |
| Model Knowledge Representation for HPC | | | Theresa Pollinger| |
| McAllister-Foundation || mit Voldemort's Theorem (schwer) |||
While many of these aspects and languages are studied in depth in individual courses, students often miss an overall perspective that describes these approaches as a whole.
The WuV course uses the general goal of knowledge representation as the big picture motivation to survey, analyze, and compare the different languages and systems.
It introduces all the fundamental concepts both of knowledge representation languages in general and of paradigmatic examples of specialized languages in particular (e.g., OWL, Java, first-order logic, SQL, sTeX).
It places special emphasis on the commonalities, differences, and integration of the approaches and the interoperability of the various systems.
The exercises teach practical aspects including both the implementation of knowledge representation languages from scratch as well as the use of state-of-the-art languages and software systems.
Diskussionen und finden auf dem [FSI Forum WuV](https://fsi.cs.fau.de/forum/151-Seminar-Wissensrepraesentation-und-verarbeitung)
statt. Dies ist eine wichtige Quelle von Ankündigungen sowie Rat und Tat. Wir bemühen uns,
auf dem Forum präsent zu sein, und schnell auf Fragen zu antworten. Also das Forum
abonnieren!
We recommend WuV to Master or 3rd year Bachelor students both as an introductory module before taking other modules in the area Artificial Intelligence as well as a one-off overview of the area.
---
layout: page
title: GI Meeting Deduction and Logic
---
This page was moved [here](../GILogicWorkshops/index.html).
\ No newline at end of file
Joint Logic Workshop: Logic in Computer Science and Deduction Systems
– 26. Jahrestagung FG LogInf und 33. Jahrestreffen FG DedSys (Deduktionstreffen) –
https://kwarc.info/events/GI2020/index.html
Online Workshop hosted by FAU University Erlangen-Nürnberg
Friday, March 26, 2021, whole day event
==========================
= CALL FOR CONTRIBUTIONS =
==========================
== Overview ==
The annual Workshop on Logic in Computer Science (Jahrestagung)
and the annual meeting Deduktionstreffen are the prime activities of the
Interest Group on Logic in Computer Science (FG LogInf) and the
Interest Group on Deduction Systems (FG DedSys) of the
German Society of Informatics (Gesellschaft für Informatik), respectively.
This year, the activities will be organized as a Joint Logic Workshop in order
to foster mutual exchange and to explore potential synergies.
The Joint Logic Workshop is a meeting with an informal and friendly atmosphere,
where everyone (not only the German community) interested in the relevant topics
can report on their work in an accessible setting.
A special focus of the workshop is on young researchers and students,
who are particularly encouraged to present their ongoing research
projects to a wider audience. Another goal of the meeting is to stimulate
networking effects and to foster collaborative research projects.
Because of the ongoing pandemic situation the Joint Loic Workshop had to be cancelled
in 2020 and is now organized as an online event.
Organizational details are published on the event's website.
== Invited speakers ==
We plan to have 1-2 invited talks; details will follow soon.
== Organization ==
We welcome contributions on all theoretical, experimental and applied
aspects of formal logic, reasoning and deduction.
Accepted contributions are presented in a talk of approx. 15-30 minutes
(depending on the overall number of accepted contributions), including
discussion. The implementation of a digital poster session is planned.
The Joint Logic Workshop will also host the annual general assemblies
(Mitgliederversammlungen) of both special interest groups.
The Joint Logic Workshop is kindly hosted by the Theoretical Computer Science
and Knowledge Representation groups at University of Erlangen-Nürnberg (FAU)
and organized by Sergey Goncharov and Florian Rabe.
== Submission ==
Submission is open to everybody interested in logic and/or deduction systems.
Please submit an extended abstract (max. one page) of your contribution to
both Olaf Beyersdorff <olaf.beyersdorff@uni-jena.de> and
Alexander Steen <alexander.steen@uni.lu>.
Submissions will be weakly reviewed to ensure topical fit.
Submission deadline: March 05, 2021
Notification: March 12, 2021
== Scientific Committee ==
Olaf Beyersdorff, University of Jena
Thomas Schneider, University of Bremen
Claudia Schon, University of Koblenz
Alexander Steen, University of Luxembourg
Joint Logic Workshop: Logic in Computer Science and Deduction Systems
– 26. Jahrestagung FG LogInf und 33. Jahrestreffen FG DedSys (Deduktionstreffen) –
https://kwarc.info/events/GI2020/index.html
Online Workshop hosted by FAU University Erlangen-Nürnberg
Friday, March 26, 2021, whole day event
==========================
= CALL FOR PARTICIPATION =
==========================
== Overview ==
The annual Workshop on Logic in Computer Science (Jahrestagung)
and the annual meeting Deduktionstreffen are the prime activities of the
Interest Group on Logic in Computer Science (FG LogInf) and the
Interest Group on Deduction Systems (FG DedSys) of the
German Society of Informatics (Gesellschaft für Informatik), respectively.
This year, the activities will be organized as a Joint Logic Workshop in order
to foster mutual exchange and to explore potential synergies.
The Joint Logic Workshop is a meeting with an informal and friendly atmosphere,
where everyone (not only the German community) interested in the relevant topics
can report on their work in an accessible setting.
Because of the ongoing pandemic situation the Joint Loic Workshop had to be cancelled
in 2020 and is now organized as an online event.
Organizational details are published on the event's website.
== Program ==
The workshop will feature invited talks by Ana Sokolova and Dov Gabbay and 11 contributed talks.
The detailed program is available at https://kwarc.info/events/GI2020/index.html
The Joint Logic Workshop will also host the annual general assemblies
(Mitgliederversammlungen) of both special interest groups.
== Registration ==
Participation is free, but an informal registration is necessary at https://docs.google.com/forms/d/1hF5TgGreilNI6YYEI7b1PbMYNnmxqIgnSKWN6JMOJko
== Scientific Committee ==
Olaf Beyersdorff, University of Jena
Thomas Schneider, University of Bremen
Claudia Schon, University of Koblenz
Alexander Steen, University of Luxembourg
The Joint Logic Workshop is kindly hosted by the Theoretical Computer Science
and Knowledge Representation groups at University of Erlangen-Nürnberg (FAU)
and organized by Sergey Goncharov and Florian Rabe.
File added
File added
---
layout: page
title: GI Meeting Deduction and Logic
---
### Online Meeting in Spring 2021
The meeting took place online on March 26.
The call for contributions is [here](cfp.txt).
The call for participation is [here](cfpart.txt).
The program consisted of 3 sessions of zoom talks each followed with a break in [gather.town](https://gather.town).
#### Session 1: 10:00 - 12:15 (chair: Sergey Goncharov)
* 10:00: Ana Sokolova, **Invited talk**: Algebraic Traces for Probability and Nondeterminism [slides (if any)](sokolova.pdf)
* 10:45: David Fuenmayor, Paraconsistent and paracomplete logics in Isabelle/HOL [slides (if any)](fuenmayor.pdf)
* 11:05: Florian Bruse and Martin Lange and Marco Sälzer, On Finite Convergence of Fixpoints in the Modal Mu-Calculus [slides (if any)](2021/saelzer.pdf)
* 11:25: Ali Farjami, Normative Reasoning: A Computational Challenge [slides (if any)](farjami.pdf)
* 11:45: *break with free discussion in gather.town*
#### Session 2: 13:00 - 15:15 (chair: Claudia Schon)
* 13:00: Dov Gabbay and Ross Horne, **Invited talk**: Analytic Proof Calculi for the Notion of Failure [slides (if any)](gabbay.pdf)
* 13:45: Christoph Benzmüller and David Fuenmayor, Value-oriented Legal Argumentation in Isabelle/HOL [slides (if any)](benzmueller.pdf)
* 14:05: Claudia Schon and Sophie Siebert and Frieder Stolzenburg, Negation in Cognitive Reasoning [slides (if any)](siebert.pdf)
* 14:25: Felix Weitkämper, A new role for finite model theory in statistical relational AI [slides (if any)](weitkaempfer.pdf)
* 14:45: *break with free discussion in gather.town*
#### Session 3: 15:15 - 17:30 (chair: Olaf Beyersdorff)
* 15:15: Marl Joos and Tobias Philipp, Mitigation of Cache Side Channel Attacks with Answer Set Programming [slides (if any)](joos.pdf)
* 15:35: Mario Wenzel, Microlog - Microcontroller programming using Datalog [slides (if any)](wenzel.pdf)
* 15:55: Muhammad Usama Sardar and Christof Fetzer, Understanding Remote Attestation in Intel SGX and TDX via Formal Verification [slides (if any)](sardar.pdf)
* 16:15: Thomas Zeume, Teaching Logic with Iltis [slides (if any)](zeume.pdf)
* 16:35: Lena Katharina Schiffer, Expressive Power of Combinatory Categorial Grammars [slides (if any)](schiffer.pdf)
* 16:55: *break with free discussion in gather.town*
#### Business meetings: 17:30 - 18:30
* 17:30: Business meetings (Mitgliederversammlungen) of the GI groups
----------------------------------------
### Canceled meeting in Fall 2020
The meeting was originally planned to take place in-person in Erlangen from 30.09.2020 to 02.10.2020.
But after discussions among the speakers of the GI groups and the local organizers, it was postponed to Spring 2021 and eventually replaced with an online meeting.