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Data Science for agent-based transport simulations

3

English

#50921 / #1

WS 2020/21 - WS 2020/21

Fakultät V

SG 12

Institut für Land- und Seeverkehr

35331900 FG Verkehrssystemplanung und Verkehrstelematik

Nagel, Kai

Rakow, Christian

lehre@vsp.tu-berlin.de

POS-Nummer PORD-Nummer Modultitel
2350103 42894 Data Science for agent-based transport simulations

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 the book "Data Science for Transport" by Charles Fox, oriented towards agent-based transport simulations. At the beginning of the semester, the sections of the book will be distributed among the participants. During the semester, the sections will be presented by the participants followed by discussion and experimental work. Everybody should roughly give one of these short talks during the semester, plus take the lead in the corresponding programming lab. The class includes, but is not limited to the following topics: - Python for Data Science Primer - Database Design - Data Preperation - Spatial Data - Machine Learning - Spartial Analysis - Data Visualisation - Big Data

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Data Science for agent-based transport simulations IV WS 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 must have at least basic knowledge in 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:

No information

Module completion

Grading

ungraded

Type of exam

No exam

Language

English

Duration/Extent

No information

Test description (Module completion)

No information

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 reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  available

Literature

Recommended literature
No recommended literature given.

Assigned Degree Programs

This moduleversion is used in the following modulelists:

Verwendungen (2)
Studiengänge: 1 Stupos: 2 Erstes Semester: WS 2020/21 Letztes Semester: WS 2020/21

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

Miscellaneous

No information