COURSE UNIT TITLE

: SEISMOLOGY APPLICATIONS WITH PYTHON

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
JEF 3632 SEISMOLOGY APPLICATIONS WITH PYTHON ELECTIVE 2 0 0 4

Offered By

Geophysical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR NIHAL AKYOL

Offered to

Geophysical Engineering

Course Objective

To set up background information about the use of Python programming language in seismology. Acquiring basic-level skills in the use of open-source Python tools in seismology.

Learning Outcomes of the Course Unit

1   1. Capability to utilize fundamental Python programming language concepts,
2   2. To understand the Python programming language's application domains in seismology,
3   3. Acquisition and utilization of seismological data via the Python programming language,
4   4. Ability to write accurate commands in the Python programming language,
5   5. Ability to solve seismological problems with Python programming.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1. Introduction to Python programming language
2 2. Data types, variables and operators
3 3. Functions and modules in Python
4 4. Index and slicing operations in Python
5 5. Logical statements and loops
6 6. Numpy, SciPy, Matplotlib and pandas scientific libraries
7 7. Basic Seismological Concepts. What is seismological data Introduction to seismological data analysis
8 8. Seismological data analysis with Python: Reading and processing seismograms
9 9. Seismological data analysis with Python: Waveform plotting
10 10. Seismological data analysis with Python: Seismogram filtering
11 11. Seismological data analysis with Python: Earthquake spectrum concept
12 12. Seismological data analysis with Python: Drawing graphs and maps
13 13. Exercise I: Locating an earthquake with Python
14 14. Exercise II: Earthquake magnitude calculation with Python

Recomended or Required Reading

Textbook(s):
- Python Recipes for Earth Sciences, Martin H. Trauth, Springer, 2022.
- Introduction to Python in Earth Science Data Analysis, Maurizio Petrelli, Springer, 2021.

Supplementary Book(s):
- Routine Data Processing in Earthquake Seismology, Jens Havskov & Lars Ottemoller, 2010.

Planned Learning Activities and Teaching Methods

Lecture/presentation, to prepare homework, midterm exam, final exam

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


Further Notes About Assessment Methods

None

Assessment Criteria

Midterm: %30 (LO 1-2-3)
Homework assignments: %20 (LO 3-4-5)
Final: %50 (LO 1-2-3-4-5)

Language of Instruction

Turkish

Course Policies and Rules

Midterm, homework assignments, and Final exams are essential in determining the grade of the course and attendance is obligatory.

Contact Details for the Lecturer(s)

Dr. T. Özgür KURTULMUŞ
Dokuz Eylul University, Engineering Faculty, Department of Geophysical Engineering,
Tınaztepe Campus, 35160 Buca, Izmir
Office Phone: +90 (232) 301 72 81
e-mail: ozgur.kurtulmus@deu.edu.tr

Office Hours

Monday between 14.00 and 16.00

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 8 8
Preparation for final exam 1 10 10
Preparing assignments 4 3 12
Preparing presentations 0 0 0
Midterm 1 2 2
Final 1 2 2
Project Final Presentation 0 0 0
TOTAL WORKLOAD (hours) 90

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.143
LO.243
LO.345
LO.42454
LO.555524