Moses - Data Science for agent-based transport simulations

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Module / Version:
#50921 / #3

Validity:
Seit WiSe 2022/23

Default display language:
English

Module title:
Data Science for agent-based transport simulations

Credits:
3

Responsible person:
Nagel, Kai

Grading:
unbenotet

Type of exam:
Keine Prüfung

Zugehörigkeit

Faculty:
Fakultät V

Institute:
Institut für Land- und Seeverkehr

Area of expertise:
35331900 FG Verkehrssystemplanung und Verkehrstelematik

Prüfungsausschuss:
Verkehrswesen

Kontakt

Office:
KAI 4-1

Contact person:
Rakow, Christian

E-mail address:
lehre@vsp.tu-berlin.de

Website:
No information

Learning Outcomes

The class teaches how to deal with data in the field of transportation. The discussed techniques will be applied to problems in the field of agent-based transport simulations.

Content

The content will be based on portions of two books: "R for Data Science" by Hadley Wickham, and "Geocomputation with R" by Robin Lovelace. The first book describes a comprehensive approach to data science including loading, transforming, and visualizing data sets using the R programming language. The second book focuses on analyzing geographic data, and this course will focus specifically on transport data connected to agent-based transport simulations. There will be a mid-semester project and a final project in which students are expected to present results. This is not a class on the R programming language itself; the course focuses instead on using R as a tool for data science. The class will include but is not limited to the following topics: • Introduction to R • Loading datasets into R • Data visualization • Data transformation • Joining datasets • Geographic data and maps in R • Analyzing spatial data and performing geometric operations The R language, the above books, and all software packages used in the course are free and open-source.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Data Science for agent-based transport simulations	IV		WiSe	English	2

Workload and Credit Points

Data Science for agent-based transport simulations (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	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

This class is highly based on mutual experimenting / lab work. Please bring your own laptop to work with (we might be able to borrow some devices, if required).

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Participants should have at least basic knowledge in computer programming, such as Java/Python programming, for example by participating in the classes "Angewandte Informatik für Ingenieure" or "Multi-agent transport simulation

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

ungraded

Type of exam

No exam

Language

English

Duration/Extent

No information

Test description (Module completion)

approx. 2 presentations per student during the semester.

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

This module is not limited to a number of students.

Registration Procedures

Please be present in the first lecture and check the dates on the ISIS course website.

Recommended literature
No recommended literature given

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
	Planung und Betrieb im Verkehrswesen (M. Sc.)	1	5	WiSe 2022/23	SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous