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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IENG 418SERVICE SYSTEMS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Introduce students to service systems and the field of queuing models. .
Course Content Introduction the service systems, Basic Concepts, Attributes of Service Systems, Operation Characterestics of Service Systems, Queue Models, Quality Parameters at Service, Analayzing to Services Acording to Quality, Performance and Modelling, Comparison.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1-
1-

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12020
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1KENAN KARAGÜL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IENG 418 SERVICE SYSTEMS 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. KENAN KARAGÜL kkaragul@pau.edu.tr MUH A0226 %70
Goals Introduce students to service systems and the field of queuing models. .
Content Introduction the service systems, Basic Concepts, Attributes of Service Systems, Operation Characterestics of Service Systems, Queue Models, Quality Parameters at Service, Analayzing to Services Acording to Quality, Performance and Modelling, Comparison.
Topics
WeeksTopics
1 Production and Service System definitions and examples and definition of simulation
2 Sciencetific computing languages Matlab, R and Julia
3 Installing the Julia Platform
4 Variables, Types and Operations and Functions
5 Control Flow and Collection Types
6 More on Types, Methods and Modules
7 Metaprogramming
8 I/O, Networking and Parallel Computing
9 Midterm
10 Julia and Optimization Problems and case studies
11 Julia and Optimization Problems and case studies
12 Julia and Optimization Problems and case studies
13 Julia and Optimization Problems and case studies
14 Julia and Optimization Problems and case studies
Materials
Materials are not specified.
Resources
ResourcesResources Language
Getting Started with Julia, Ivo Balbaert, Packt Publishing, ISBN 978-1-78328-479-5, www.packtpub.comEnglish
Mastering Julia, Malcolm Sherrington,Packt Publishing, ISBN 978-1-78355-331-0, www.packtpub.comEnglish
[web-1]: www.julialang.org , [web-2]: http://julialang.org/learning/ , [web-3]:https://juliabox.com/English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes