COURSE UNIT TITLE

: PHYSICAL OCEANOGRAPHIC METHODS II DATA ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PHO 5032 PHYSICAL OCEANOGRAPHIC METHODS II DATA ANALYSIS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ERDEM SAYIN

Offered to

PHYSICAL OCEANOGRAPHY

Course Objective

The aim of the course is to introduce the modern data analysis tools to oceanographers via the oceanographic data. The course is covering a wide range of data analysis methods for the practical use by using different data sets. The other objective of this course is to teach the modern data analysis techniques in ocean sciences.

Learning Outcomes of the Course Unit

1   Students will be able to handle hydrographic data
2   Familiar to the method of data analysis
3   Able to manage data and deal with data quality
4   Presentation of the data
5   Time series analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to data analysis
2 Hydrographic data processing Filtering, conversion, averaging and derivation
3 Dynamic data processing
4 Data management Data inventory Metadata
5 Data quality and standardization Error handing
6 Midterm
7 Data presentation and analyses of seawater properties
8 Vertical profiles and sections
9 Horizontal maps
10 Determination of water mass T-S Diagrams
11 Spatial analysis
12 Time series presentation Spectral analysis
13 Fourier analysis
14 Wind analysis

Recomended or Required Reading

Textbook(s): :
Data Analysis Methods in Physical Oceanography. W. J. Emery (Author), Richard E. Thomson (Author)

Supplementary Book(s):
Datenanalyse, 1992, Wissenschaftverlag, Mannheim, 650p., Brandt, S.

Materials:
Numerical Recipies, Cambridge University Press, 1986. Press, W. H. , B. P. Flannery, S. A. Teukolsky & W. T. Vetterling

Planned Learning Activities and Teaching Methods

The methods of instrumentation will be explained conventionally. The programs that are needed will be shown using computer by the application of some methods.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


*** 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)

Prof. Dr. Erdem Sayın
Dokuz Eylul University, Institute of Marine Sciences and Technology
erdem.sayin@deu.edu.tr

Office Hours

will be announce at the first lecture

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Tutorials 13 1 13
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparation for quiz etc. 1 40 40
Preparing presentations 1 10 10
Reading 10 3 30
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 171

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1421412212221
LO.2432322222231
LO.3211232432231
LO.4111241312114
LO.5131111111111

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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