Enrolment options

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

1. Know how to model various planning stages in public transport planning as optimization problems;
2. Understand how problem variants influence complexity;
3. Know how to solve the resulting optimization problems.

Credits: 5

Schedule: 04.09.2024 - 29.11.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Philine Schiewe

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    In this course, the student will learn how to formulate various real-world problems arising in public transport planning as optimization problems. A special focus will be on considering and analysing problems variants and their influence on the complexity of the considered problems. At the end of this course, it is expected that the student will be capable of formulating public transport problems as optimization problems, analyzing their structure and choosing suitable solution methods.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    home exercises and projects

Workload
  • valid for whole curriculum period:

    Lectures and exercises

    Self study: home exercises and projects; remainder for revising content of lectures and exercise sessions and for preparing for the exam

DETAILS

Study Material
  • valid for whole curriculum period:

    Main material: Lecture notes and slides.

    Supplementary bibliography: Gkiotsalitis, Konstantinos. Public Transport Optimization. Springer Nature, 2023.

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    11 Sustainable Cities and Communities

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I - II
    2025-2026 Autumn I - II

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