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Location & approach

By car

The campus of the Technical University of Dortmund is located near the Dortmund West motorway junction, where the Sauerland line A45 intersects with the Ruhrschnellweg B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the south campus, the Dortmund-Dorstfeld exit on the A40 to the north campus. The university is signposted at both exits.

By bus and train

The S-Bahn station "Dortmund Universität" is located directly on the north campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. The university can also be reached by bus lines 445, 447 and 462. Timetable information can be found on the website of the Rhein-Ruhr transport association, and DSW21 also offers an interactive network map.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, line 2 runs every 5 minutes between Campus North and Campus South. She covers this distance in two minutes.

By plane

From Dortmund Airport you can take the AirportExpress to Dortmund Central Station in around 20 minutes and from there you can take the S-Bahn to the university. Düsseldorf Airport, which is about 60 kilometers away, offers a larger range of international flight connections and can be reached directly by S-Bahn from the university train station.

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Calendar

Location & approach

By car

The campus of the Technical University of Dortmund is located near the Dortmund West motorway junction, where the Sauerland line A45 intersects with the Ruhrschnellweg B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the south campus, the Dortmund-Dorstfeld exit on the A40 to the north campus. The university is signposted at both exits.

By bus and train

The S-Bahn station "Dortmund Universität" is located directly on the north campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen and Duisburg. The university can also be reached by bus lines 445, 447 and 462. Timetable information can be found on the website of the Rhein-Ruhr transport association, and DSW21 also offers an interactive network map.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, line 2 runs every 5 minutes between Campus North and Campus South. She covers this distance in two minutes.

By plane

From Dortmund Airport you can take the AirportExpress to Dortmund Central Station in around 20 minutes and from there you can take the S-Bahn to the university. Düsseldorf Airport, which is about 60 kilometers away, offers a larger range of international flight connections and can be reached directly by S-Bahn from the university train station.

ServicePortal UniMail

ASMo - Adaption of Stochastic Models

The construction of stochastic models requires the analysis and modeling of data using appropriate stochastic distributions and processes. Software support for this task is often fragmented across various tools and libraries. The ASMo tool consolidates this support into a user-friendly environment, simplifying the visualization, analysis, and fitting of stochastic models. ASMo is designed to be easily extendable and provides an open environment for integrating new methods.

Downloads

ASMo v.0.3.0

ASMo for Linux: Python Code
Example Traces: Traces

ASMo is free software, released under the terms of the MIT License.

Run the following commands for Linux (python 3.11 or newer has to be installed):

If not installed do

1) Update Package repo:     sudo apt update
2) Install Python:                   sudo apt install python3
3) Install Pip:                          python -m ensurepip --upgrade
                                                  python get-pip.py
4) Install Python poetry:      pip install poetry

Unzip the downloaded zip file asmo_program.zip and

1) Install dependencies: poetry install
2) Run the application: poetry run asmo
3) Open a local browser instance and call: localhost

Documents

ASMo Manual: will follow soon
ASMo Overview: see publications

Publications

Falko Bause, Andreas Blume, Peter Buchholz, Alexander Puzicha and Alina Timmermann.
Adaption of Stochastic Models (ASMo) - A Tool for Input Modeling -
accepted for QEST 2024, International Conference on Quantitative Evaluation of SysTems,
Calgary, Canada — September 9-13, 2024. (Artifact of Software)

Contact

asmo (at) ls4.cs.tu-dortmund.de