COURSE UNIT TITLE

: STATISTICAL APPLICATIONS IN GEOPHYSICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GPE 5001 STATISTICAL APPLICATIONS IN GEOPHYSICS ELECTIVE 2 0 0 5

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYÇA ÇIRMIK

Offered to

Geophysical Engineering
GEOPHYSICAL ENGINEERING

Course Objective

To have knowledge about the importance of probability and statistical methods in geophysical engineering.
They learn to use working principles that have a stochastic characteristic.
To be knowledgeable about what type of mathematical data the Geophysical Engineer is interested in.
To have knowledge about random data describing geophysical data.
To learn the principles of describing random data.
To have basic knowledge about underground modeling studies using data obtained from geophysical studies.
Having knowledge about how to make these models with least mistakes using statistical concepts

Learning Outcomes of the Course Unit

1   Ability to analyze the data of geophysics
2   Defining the data defined in the General properties
3   Defining the random data
4   Ability to analyze the importance of the random data to be used in investigations in geophysics
5   The ability to make the assessment and interpretation of geophysical data
6   Ability to analyze do statistics in the context of the geophysical studies
7   Defining the raw data of geophysics
8   the ability to earn to analyze the data of geophysics
9   To gain problem solving skills by using statistical and probability concepts in geophysical engineering.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General Introduction of Geophysical methods
2 General presentation of the geophysical data
3 The defined data
4 The random data
5 the relationship between the defined data and random data
6 Introduction to istastik methods
7 the mean value and standard deviation
8 Midterm Exam
9 correlation coefficient
10 Normalized probability distribution
11 binomial probability distribution
12 poisson probability distribution
13 How to use statistical methods inf geophysical studies
14 geophysical data processing techniques used in studies
15 homework overview

Recomended or Required Reading

Main Book: Jeofizikte Veri Işlem 1. Prof. Dr. nezihi Canıtıez itü yayınları.
The Book Help : current articles

Planned Learning Activities and Teaching Methods

course, midterm exam, homework and 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 * 0.25 + ASG * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + FIN * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Homework % 25 (LO1, LO2, LO3,LO4, LO5,LO6,LO7,LO8, LO9)
Midterm Exam % 25 (LO1, LO2, LO3,LO4, LO5,LO6,LO7,LO8, LO9)
Final Exam %50 (LO1, LO2, LO3,LO4,LO5,LO6,LO7,LO8, LO9)

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ayca.cirmik@deu.edu.tr

Office Hours

wednesday 13:30-14:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Course Lecture 14 2 28
Preparation for final exam 1 15 15
Preparations before/after weekly lectures 14 4 56
Preparing homework 3 6 18
Preparation for midterm exam 1 3 3
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 124

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.144111
LO.244111
LO.344111
LO.445111
LO.545511
LO.643311
LO.74
LO.833
LO.9