Enrolment options

MS-E2150 - Discrete Event Simulation D, Lecture, 24.2.2025-4.4.2025

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

Discrete Event Simulation (DES). The course gives basic skills for analysis of queuing phenomena through DES. DES models the system as a sequence of discrete events in time where system state changes. System state is not updated between the events, which allows simulation time to jump directly from event to the next event. This is in contrast to continuous system simulation, where system state changes continuously.

Credits: 5

Schedule: 24.02.2025 - 04.04.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Risto Lahdelma

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:

    Discrete Event Simulation (DES). Simulation of systems including discrete events and queues: random number generation, construction of a model, input models, output data analysis, model validation.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Homework, Project assignment and presentation

Workload

  • valid for whole curriculum period:

    Contact hours (lectures and exercises) 35h.
    Project presentation (preparation and seminar) 3h
    Autonomous studies, including homework and project 90h

DETAILS

Study Material

  • valid for whole curriculum period:

    Law, A.M. ja W.D. Kelton, Simulation Modeling and analysis, McGraw-Hill, 2002.

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    7 Affordable and Clean Energy

    9 Industry, Innovation and Infrastructure

    11 Sustainable Cities and Communities

    12 Responsible Production and Consumption

    13 Climate Action

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV
    2025-2026 No teaching

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

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