COURSE UNIT TITLE

: DATA ANALYSIS IN MARINE GEOLOGY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DJJ 5041 DATA ANALYSIS IN MARINE GEOLOGY ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

MARINE GEOLOGY AND GEOPHYSICS
MARINE GEOLOGY AND GEOPHYSICS

Course Objective

Geophysical data processing is the use of computers for the analysis of geophysical data (more so for the marine geophysical data). Such a massive amount of data require both statistical reduction and the ability to compute theorical solutions in many parametre earth models. Geophysical data processing begins with the syudy of the sampled time from of filter theory and spectral analysis. Basic concepts of resolving power, statistics, matrices and course the least squares will be considered in the context of this course.

Learning Outcomes of the Course Unit

1   Having information about data analysis in marine geophysics.
2   Applying methods towards information about application.
3   Learning teoric and practice applications of data processing programs in data analysis.
4   Gaining experience marine data processing programs.
5   Having skill for applying engineering studies by submarine construction structures.
6   Investigation of submarine faults and doing seismicity studies to aim determine young tectonic structures and having skill evaulate original results.
7   Taking part at the original studies by using available hardware, software and informatic technologies.
8   Using available hardware and software with ARGE projects.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Purpose of data analysis
2 Review of elementary statistics (Probability. Testing of normal populations: t- test, F- test, x² - test. Analysis of variance)
3 Analysis of squances of data (Equal spacing or interpolation, Regressions, filtering, Series of events).
4 Analysis of map data (Conturing, Trend surfeces, Moving averages and Kriging)
5 Analysis of Multivariant data
6 Review of matrices and Transforms (Z transform)
7 Mid-term exam
8 Fourier transform
9 Laplace transform
10 Hilbert transform
11 Autocorrelation-Crosscorelation
12 Filtering, Convolution, Deconvolution
13 Data modeling
14 Final Exam

Recomended or Required Reading

Materials: Fundamentals of Geophysical Data Processing by Jon F. Claerbout.
Davies, Mcgraw-Hill Book Company, 1979.
Programs: Data processing program

Planned Learning Activities and Teaching Methods

1. Lessons
Lecturer leads students for giving answer to questions and want to present their opinions about lesson content. Lessons are for assessment done on environment of informations are about sample data analizing. data collecting and
2. Review Sessions and Class Discussions
Review Sessions will be carried out by lecturer on the last time of lesson at the every week. Homeworks and presentations that done by students will generate base of problems at this sessions. With this, attendance to class discussions of students will encourage.
3. Computer Applications
In the computer applications, data processing program will be introduced for executing data interpretations.Informations are about using of this softwares will be provided by using class applications are related to data interpretation, discussions and resource books that related to data processing method.

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

Exams will measure skill that is assessment of information about ocean structures. Every exams will contain class material and include assessment are about homework. Studying on the problems and understand these problems of students, there is a condition for completing lesson with success. Preparing presentations about any topic that is related to lesson content and make discussion these presentation in the classroom will be developed their skills about attendance and interpretation to lesson of students.

Assessment Criteria

1. One main topic of every a section will take part in the exams. One or more questions for every a topic will ask to students. Point assessment of exam questions will substantiate by point system that lecturer determines.
2. Extraction point of student attendance will be depended on situation of attendance to lessons, quality of answers to questions which asked by lecturer during lesson and attendance by students for creating education environment.
3. Good attendance for notes that been between two notes will sustain notes to maximum level.
4. Understandable of topic and correction of data assessment results will evaluate through presentation which related to lesson content.

Language of Instruction

Turkish

Course Policies and Rules

1. It is imperative to attendance for lesson is percentage of seventy.
2. Any plagiarism interference is resultedby actual disciplinary punishment.
3. No attendance to lesson won t evaluate as a excuse for doing homework late or presentation.

Contact Details for the Lecturer(s)

Bakü Boulevard No:100 Inciraltı/IZMIR
Tel: 0232 278 55 65/ 157
Faks: 0232 278 50 82

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 6 6
Preparation for final exam 1 12 12
Preparing assignments 8 5 40
Preparing presentations 5 5 25
Reading 11 3 33
Final 1 1,5 2
Midterm 1 1,5 2
TOTAL WORKLOAD (hours) 176

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.13234222222334
LO.24335443333434
LO.33234223222245
LO.45555443333435
LO.53224342222334
LO.63113332225434
LO.73112223124544
LO.83224112223545