COURSE UNIT TITLE

: STATISTICAL METHODS FOR MARITIME TRANSPORT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTE 3149 STATISTICAL METHODS FOR MARITIME TRANSPORT ELECTIVE 2 0 0 3

Offered By

Marine Transportation Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR BURAK KÖSEOĞLU

Offered to

Marine Transportation Engineering

Course Objective

After successful completion of the course the students should gain advanced knowledge and skills related to using statistical methods on maritime transportation

Learning Outcomes of the Course Unit

1   Knowledge on "Statistic and Statistical Distributions".
2   Knowledge on "Statistics related to the Maritime Transportation"
3   Knowledge on "Statistical Analysis"
4   Understanding on Statistical Analysis on Maritime Transportation Problems
5   Skill on SPSS Software

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Statistics and the Scientific Method Ott and Longnecker
2 Using Surveys and Experimental Studies to Gather Data Ott and Longnecker
3 Data Description Ott and Longnecker
4 Probability and Probability Distributions Ott and Longnecker
5 The Central Limit Theorem Woodbury
6 Confidence Intervals Woodbury
7 One-Sample Hypothesis Tests Woodbury
8 Mid Term Exam
9 Two-Sample Hypothesis Tests Woodbury
10 F-Tests, Woodbury
11 Chi-Square Tests Woodbury
12 Linear Correlation and Regression Woodbury
13 Nonparametric Tests Woodbury
14 Presentations
15 Presentations
16 Final Exam

Recomended or Required Reading

An Introduction to Statistical Methods and Data Analysis, Sixth Edition, 2010
R. Lyman Ott
Michael Longnecker

An Introduction to Statistics, 2002
George Woodbury

Planned Learning Activities and Teaching Methods

Literature review, case studies, presentation and discussion, computer based learning

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.10 + FINS * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.10 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Knowledge about statistic at undergraduate level, having skills and competencies, research, analysis, interpretation, verbal and written expression, innovation, creativity and entrepreneurial skills and competencies will be evaluated.

Language of Instruction

English

Course Policies and Rules

Students have to attend the 70% of the course program

Contact Details for the Lecturer(s)

0 232 301 88 03
0 532 331 51 31
snas@deu.edu.tr

Office Hours

Tuesday 10 00 : 12 00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparing assignments 1 20 20
Preparation for midterm exam 1 5 5
Preparation for final exam 1 5 5
Preparations before/after weekly lectures 14 1 14
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 76

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.115333
LO.215333
LO.3153333
LO.4355333
LO.515333