Syllabus

Title
4268 Mathematical Methods - Queueing Theory
Instructors
Gabriela Kovacova, DPhil
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/20/23 to 03/03/23
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 03/06/23 02:00 PM - 04:30 PM Online-Einheit
Monday 03/13/23 10:00 AM - 12:30 PM TC.5.16
Monday 03/20/23 10:00 AM - 12:00 PM TC.5.16
Monday 03/27/23 10:00 AM - 12:00 PM TC.5.16
Monday 04/17/23 10:00 AM - 12:00 PM TC.5.16
Monday 04/24/23 10:00 AM - 12:00 PM TC.5.16
Monday 05/08/23 10:00 AM - 12:00 PM TC.5.16
Thursday 05/11/23 10:00 AM - 12:00 PM EA.5.034
Monday 05/15/23 10:00 AM - 12:00 PM TC.5.16
Monday 05/22/23 10:00 AM - 12:00 PM TC.5.16
Monday 06/19/23 10:00 AM - 12:00 PM TC.5.16
Contents

In this course, we will learn about the basics of queueing theory, a mathematical approach to studying waiting lines or queues. We will also recap the relevant results regarding probability distributions and random processes.

Queueing theory is a method relevant to the design of shops, offices, hospitals, telecommunication networks, traffic engineering and more.

Learning outcomes

At the end of the course, students should be familiar with the basics of queueing theory.

Attendance requirements

Attendance is compulsory; students can miss 20% of the course units.

Teaching/learning method(s)

The course will be taught in the form of lectures and homework assignments, which will be discussed in the subsequent lectures. Students will be asked to solve some exercises in the programming/statistical language R (or another language of their choice). See The Comprehensive R Archive Network and R Studio.

Assessment

The assessment will consist of

  • homework (30% weight)
  • midterm exam (30% weight)
  • final exam (40% weight)

Students need at least 50% to successfully pass the course.

Prerequisites for participation and waiting lists

STEOP Mathematics and Statistik courses are necessary prerequisites. Prior familiarity with probability theory is recommended.

Readings

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Recommended previous knowledge and skills

LVP Mathematik, VUE Statistik.

Last edited: 2023-02-18



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