Moses - Advanced Topics in Economics and Computation

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WiSe 2020/21 - WiSe 2023/24.

Module / Version:
#40883 / #2

Validity:
WiSe 2020/21 - WiSe 2023/24

Default display language:
English

Module title:
Advanced Topics in Economics and Computation

Credits:
3

Responsible person:
Brill, Markus

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34352500 FG Effiziente Algorithmen

Prüfungsausschuss:
No information

Kontakt

Office:
TEL 5-1

Contact person:
Thielcke, Christlinde

E-mail address:
brill@tu-berlin.de

Website:

http://www.algo.tu-berlin.de/menue/teaching/

Learning Outcomes

On successful completion, students will be able to: - critically read and evaluate scientific papers from the intersection of economics and computer science - discuss the interplay between concepts from economic theory and computer science - work independently to gain an understanding of published results and proof methods - communicate the central ideas of research papers to non-experts

Content

In recent years, there has been an increasing interest in topics at the intersection of economics and computer science, as witnessed by the rise of research areas such as algorithmic game theory and computational social choice. In this seminar, we will discuss various topics from these interdisciplinary research areas. The current topic will be announced on the website of the research group (http://www.algo.tu-berlin.de/menue/teaching/).

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Advanced Topics in Economics and Computation	SEM		WiSe	No information	2

Workload and Credit Points

Advanced Topics in Economics and Computation (SEM):

Workload description	Multiplier	Hours	Total
Präsenzzeit	15.0	2.0h	30.0h
Vor-/Nachbereitung	15.0	4.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Seminar with talks by the participants. Participants are also required to prepare handouts ("preparation sheets") including exercises.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Succesful participation in the course "Computational Social Choice" (40286) or a similar background.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) presentation	50	oral	30-45 min
(Deliverable assessment) handout	25	written	2-4 pages
(Learning process review) oral consultation	25	oral	19 min

Grading scale

Notenschlüssel »Notenschlüssel 3: Fak IV (3)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt	45.0pt	40.0pt

Test description (Module completion)

According to §47 (2) AllgStuPO the grade will be calculated applying grading key 3 of Fakultät IV.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

see website

Recommended literature
F. Brandt, V. Conitzer, U. Endriss, J. Lang, and A. Procaccia, editors. Handbook of Computational Social Choice. Cambridge University Press, 2016.

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

Blockveranstaltung

Advanced Topics in Economics and Computation