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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ETE 3017 PHYSICAL MODELS ELECTIVE 2 0 0 4

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

Offered to

Computer Engineering Electrical and Electronics Engineering

Course Objective

Acquisition of the fundamentals of Dimensional Analysis and Physical Models. Familiarisation with experimental studies.

Learning Outcomes of the Course Unit

1   to obtain dimensionless parameters by using various methods. 2   to acquire the basic laws related to physical models. 3   to design the appropriate physical model for a given engineering problem. 4   to carry out required experiments on the physical model. 5   conversion of the experimental results to their real values (in prototype).

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Use of the physical models- Dimensional Analysis 2 Rayleigh method Illustrative examples 3 Buckingham method - Illustrative examples 4 Introduction to the Models theory Similarity Laws 5 Models of Reynolds and Froude Illustrative examples 6 Distorted models Illustrative examples 7 Laboratory work 8 Laboratory work 9 Laboratory work 10 Laboratory work 11 Laboratory work 12 Mid-term examination 13 Laboratory work 14 General evaulation

Recomended or Required Reading

`Laboratuar Uygulamalı Fiziksel Modeller , M.Ş. Güney, A.Ö. Aksoy, M. Doğan, DEÜ Müh. Fak. Yayınları No:332, Izmir, 2011. (explained in English) Textbook(s):`Theory of Hydraulic Models , M.S. Yalın, The Macmillan Press Ltd, UK, 1971.

Planned Learning Activities and Teaching Methods

The chapters involved in the text book prepared in accordance with the course objective are treated. The six study groups formed with the students of different curriculum realise in turn the laboratory works during six weeks. They submit their report after each relevant experiment

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparation for final exam 1 15 15 Preparation for midterm exam 1 10 10 Preparing assignments 6 6 36 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 93

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 4 4 2 3 1 LO.2 2 2 3 LO.3 5 3 3 3 3 LO.4 2 3 3 5 LO.5 2 2 3 3 5