COURSE UNIT TITLE

: STATISTICAL METHOTS IN MARINE TRANPORTATION MANAGEMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DDD 6047 STATISTICAL METHOTS IN MARINE TRANPORTATION MANAGEMENT ELECTIVE 3 0 0 5

Offered By

Maritime Security, Safety and Environmental Management

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR UMAY ZEYNEP UZUNOĞLU KOÇER

Offered to

Maritime Security, Safety and Environmental Management

Course Objective

The objective of the course is to describe the structure of queue which have been known as waiting line in industrial systems and to define the queuing systems and its applications in maritime transportation. Simple queueing systems, performance measures of these systems with their cost structure will be examined. The students will gain knowledge about the components of simple queuing systems and how to improve such a system performance.

Learning Outcomes of the Course Unit

1   1. To define basic concepts in probability and some simple statistical distributions
2   2. To explain the basic components of queueing systems.
3   2. To explain the basic components of queueing systems.
4   4. To compute the performance measures of the queuing systems which can be modeled either birth-and-death process or not.
5   5. To create a computer program which can compute the measures of effectiveness of simple queuing systems
6   6. To compute the performance measures of the queuing systems via statistical packages.
7   7. To gain an insight in cost structure of queuing systems and making economic interpretations
8   8. To propose new solutions that make the queuing systems to work much more efficient.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts in probability
2 Statistical distributions
3 Basic components of queuing systems
4 The representation of the queuing systems as stochastic process: Birth and death processes
5 Modeling arrival and service processes
6 Kendall-Lee-Taha naotation and M/M/1 queuing model
7 M/M/c queuing model
8 M/M/1/K queuing model
9 M/M/c/K queuing model, Erlang s loss formula
10 The queuing systems that are Markovian but not birth-death type
11 M/Er/1 queuing model
12 Er/M/1 queuing model
13 Batch arrival and batch service in queuing systems
14 Cost structure in queuing systems and Modeling the cost function and strategic decisions

Recomended or Required Reading

Gross D., Haris C.H, Fundamentals of Queuing Theory, Wiley Series, 1998.
Yardımcı kaynaklar:
L. Kleinrock, Queuing Systems- Volume I, Wiley-Interscience, 1975.
H. Taha, Operations Research, McGraw Hill, 7th edition, 2003.
F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, McGraw Hill, 1995

Planned Learning Activities and Teaching Methods

Presentation, lecture, problem solving and homework.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + STT * 0.30 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.30 + RST* 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

umay.uzunoglu@deu.edu.tr
0232 301 85 60

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation for final exam 1 15 15
Preparing presentations 1 5 5
Preparing assignments 1 20 20
Preparation for midterm exam 1 10 10
Preparations before/after weekly lectures 13 2 26
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 121

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.133
LO.233
LO.333
LO.43
LO.533
LO.63
LO.73
LO.83