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Ship machinery (6 cr)

Code: 5031331-3005

General information


Enrollment
06.08.2022 - 04.09.2022
Registration for the implementation has ended.
Timing
05.09.2022 - 16.12.2022
Implementation has ended.
Number of ECTS credits allocated
6 cr
Local portion
6 cr
Mode of delivery
Contact learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
Finnish
Seats
0 - 30
Teachers
Jari Lahtinen
Course
5031331
No reservations found for realization 5031331-3005!

Evaluation scale

H-5

Content scheduling

Ship main machineries.

Ask separate course presentation (jari.lahtinen@turkuamk.fi)

Objective

In the end of the course student has learnt ship main machineries and their purpose of use. Student is skilful enough to dimension and select cargo ship propulsion machinery main components on basic level. Student has an understanding of engine room layout and machinery specific regulation.

Content

The tasks of different ship machineries are studied.
During the studies cargo ship engine room general arrangement is educated and excursion to existing ship is arranged. Students design engine room layout for their reference ship. Shaft line drawing for the same ship will be created and components selected. The design work and calculations will be reported.
Latest machinery development trends future machinery regulation are discussed.

Materials

Learning material will be available in ITS-system.

Teaching methods

Learning by doing

Exam schedules

-Week 49
-First additional exam in January 2023
-Second additional exam in May 2023

Pedagogic approaches and sustainable development

Interactive pedagogy

Completion alternatives

Equal knowledge gained elsewhere

Student workload

162 working hours

Evaluation methods and criteria

Both practical work and exam will be evaluated with equal weight in final assessment.

Failed (0)

Points < 35 %

Assessment criteria, satisfactory (1-2)

1) 35 % < points < 48 %
2) 48 % < points < 61 %

Assessment criteria, good (3-4)

3) 61 % < points < 74 %
4) 74 % < pointst < 87 %

Assessment criteria, excellent (5)

87 % < points

Further information

Jari M. Lahtinen, +358505985

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