COURSE UNIT TITLE

: SIGNAL PROCESSING IN MARINE SCIENCES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PHO 5037 SIGNAL PROCESSING IN MARINE SCIENCES 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 ŞÜKRÜ TURAN BEŞIKTEPE

Offered to

PHYSICAL OCEANOGRAPHY

Course Objective

The goal of this class is to provide a systematic training of fundamental time series data analysis skills used in physical oceanography. In order to interpret events that registered in oceanographic time series measurements, main techniques, both in the space, time and spectral domain will be provided to the students with a hands on experience. Concepts and mathematical methods to understand and to use these methods will be based on real oceanographic problems.

Learning Outcomes of the Course Unit

1   to be able to calculate the Fourier series of periodic signals
2   to be able to calculate the auto-correlation function and the power spectrum of stationary random processes
3   to understand windowing and filtering concepts and able to apply these concepts to real data
4   to determine the Cross-correlation function and the cross spectrum between the two signals
5   to be able to detect physical processes at different time scales by applying signal processing techniques to data collected from the seas

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 overview of time series analysis
2 Introduction to programming in matlab
3 Fourier analysis
4 Linear systems
5 Signal digitizing
6 Windows, filter design and applications
7 Mid-term
8 Autocorrelation
9 Lagged-product spectrum analysis
10 Rotary spectral analysis
11 Spectral analysis of ocean currents
12 Application of spectral techniques to oceanographic
13 Presentation and discussions of projects
14 Application of spectral techniques to case studies

Recomended or Required Reading

Time series analysis in meteorology and climatology (Claude Duchon and Robert Hale) 2012
Emery, W.J. and R.E. Thompson, 2001. Data analysis methods in physical oceanography, 2nd ed., Elsevier Science, Amsterdam, Netherlands, 658 pp.

Planned Learning Activities and Teaching Methods

Lectures will be held as presentations and practical hands-on exercises using matlab

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. Şükrü T. Beşiktepe
Dokuz Eylul Üniversitesi, Deniz Bilimleri ve Teknolojisi Enstituüsü
sukru.besiktepe@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 12 3 36
Preparations before/after weekly lectures 12 6 72
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 1 50 50
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 197

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1531131111411
LO.2531131111411
LO.3535131113411
LO.4535131111411
LO.5535134315514

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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