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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ISL 4056 SIMULATION TECHNIQUES AND QUEUING THEORY ELECTIVE 3 0 0 4

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI ÖZDEMIR

Offered to

Business Administration Business Administration (Evening)

Course Objective

It is aimed to provide the basic concepts of simulation, statistical information necessary to design and create simulation applications, and basic modeling knowledge and skills related to a simulation software.

Learning Outcomes of the Course Unit

1   To have the concept of simulation and the necessary statistical infrastructure to carry out simulation work 2   Ability to create simulation models of systems 3   Ability to analyze input and output data 4   Ability to use simulation software

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic Concepts of Simulation 2 Probability Distributions and Analysis of Input Data 3 Random Number and Variation Derivation 4 Monte-Carlo Simulation Models and Excel Simulation Applications 5 Introduction to Queuing Theory and Queuing Analysis: Single-Channel Models 6 Queuing Analysis: Multi-Channel Models 7 Computer Aided Simulation Applications 1 8 Computer Aided Simulation Applications 2 9 Computer Aided Simulation Applications 3 10 Computer Aided Simulation Applications 4 11 Student Presentations 1 12 Student Presentations 2 13 Student Presentations 3 14 Student Presentations 4

Recomended or Required Reading

Altiok, T., & Melamed, B. (2010). Simulation modeling and analysis with Arena. Elsevier. Tütek, H., Gümüşoğlu, Ş., & Özdemir, A. (2012). Sayısal yöntemler: yönetsel yaklaşım. Beta.

Planned Learning Activities and Teaching Methods

Theoretical lecture, computer aided teaching, student presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 STT TERM WORK (SEMESTER) 2 MTE MIDTERM EXAM 3 MTEG MIDTERM GRADE STT * 0.50 +MTE * 0.50 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

It will be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 4 4 Preparation for final exam 1 5 5 Preparing assignments 1 10 10 Preparing presentations 1 5 5 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 110

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 LO.2 1 LO.3 1 LO.4 1