Discrete-Event Simulation, 6 credits

Diskret simulering, 6 hp

TNK089

Main field of study

Transportation Systems Engineering

Course level

First cycle

Course type

Programme course

Examiner

Krisjanis Steins

Director of studies or equivalent

Erik Bergfeldt

Education components

Preliminary scheduled hours: 58 h
Recommended self-study hours: 102 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CKTS Communication and Transportation Engineering, M Sc in Engineering 6 (Spring 2017) 1 2 Swedish Norrköping, Norrköping C

Main field of study

Transportation Systems Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Communication and Transportation Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Statistics and Probability.

Intended learning outcomes

The main goal of this course is to provide students with basic knowledge in discrete-event simulation and its use for the analysis of communication, transport, production and service systems. The course also aims at providing practical experience in simulation modeling. After completion of the course the student will be able to:

  • Describe fundamental concepts in discrete-event simulation.
  • List and explain advantages and disadvantages of simulation as analysis tool.
  • Model stochastic input data with probability distributions and assess quality of input models.
  • Build simulation models of production, service and transportation systems
  • Perform analysis with simulation models and draw conclusions from stochastic simulations.

Course content

  • Fundamental concepts in dynamic discrete-event simulation.
  • Setting up a simulation study. Steps in a simulation study.
  • Input modelling.
  • Verification and validation of simulation models.
  • Experimentation and output analysis.
  • Simulation software. Modeling in ARENA.
  • Applications of simulation. Simulation of manufacturing systems.
  • Simulation of communication and transport systems.

    Teaching and working methods

    The course is organized in lectures and computer labs.

    Examination

    LAB1Series of model-building exercises3 creditsU, 3, 4, 5
    TEN1Written examination3 creditsU, 3, 4, 5

    Grades

    Four-grade scale, LiU, U, 3, 4, 5

    Other information

    Supplementary courses:
    Applications of discrete-event simulation

    Department

    Institutionen för teknik och naturvetenskap

    Director of Studies or equivalent

    Erik Bergfeldt

    Examiner

    Krisjanis Steins

    Course website and other links

    http://www2.itn.liu.se/utbildning/kurs/index.html?coursecode=TNK089

    Education components

    Preliminary scheduled hours: 58 h
    Recommended self-study hours: 102 h
Code Name Scope Grading scale
LAB1 Series of model-building exercises 3 credits U, 3, 4, 5
TEN1 Written examination 3 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

There is no course literature available for this course in studieinfo.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X

                            
1.2 Fundamental engineering knowledge (G1X level)
X

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X

                            
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking
X
X

                            
2.4 Attitudes, thought, and learning
X

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context
X

                            
4.3 Conceiving, system engineering and management
X

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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