COURSE UNIT TITLE

: RISK ANALYSIS IN MARINE TRANSPORTATION ENGINEERING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTE 5006 RISK ANALYSIS IN MARINE TRANSPORTATION ENGINEERING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR SELÇUK NAS

Offered to

Marine Transportation Systems Engineering
Marine Transportation Systems Engineering
MARINE TRANSPORTATION SYSTEMS ENGINEERING

Course Objective

to identify hazards of maritime transport operations, to analyze statistical data marine accidents and types, to examine the distribution types.

Learning Outcomes of the Course Unit

1   to analyze statistical data marine accidents and types, to examine the distribution types.
2   to examine the distribution of statistical analysis of accident data
3   to determine the probability values of the identified hazards to evaluate the effects of the identified hazards
4   to identify risk reduction measures
5   to make cost-benefit analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 International Trade and Shipping
2 Maritime Risk Picture
3 Statistical Risk Monitoring
4 Traffic-Based Models
5 Damage Estimation
6 Risk Analysis Techniques
7 Cost-Benefit Analysis
8 Formal Safety Assessment
9 Mid-term examination
10 Human Factors
11 Accident Analysis
12 Emergency Preparedness
13 Safety Management
14 Project Evaluation

Recomended or Required Reading

Maritime Transportation Safety Management and Risk Analysis Svein Kristiansen, Elsevier Butterworth Heinemann. 2005.

Vaughan, E. (1997) Risk Management John Wiley & Sons Inc, New York.

The Nautical Institute (1999) Managing Risk in Shipping Middlesex.

Molak, V. (1997) Fundamentals of Risk Analysis and Risk Management Lewis Publisher, USA.

Chavas, JP. (2004) Risk Analysis in Theory and Practice Elsevier Butterworth Heinemann. USA

Planned Learning Activities and Teaching Methods

To be announced.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

MD= %25 midterm %15 homework

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

0 532 331 51 31
snas@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 5 65
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Preparing presentations 5 10 50
Midterm 1 2 2
FInal 1 2 2
TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.13555
LO.23555
LO.33555
LO.43555
LO.5553

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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