# COURSE UNIT TITLE

: DATA ANALYSIS AND STATISTICAL INFERENCE

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EES 5049 DATA ANALYSIS AND STATISTICAL INFERENCE 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 DOĞAN YAŞAR

#### Offered to

ENVIRONMENTAL EARTH SCIENCES
ENVIRONMENTAL EARTH SCIENCES-NON THESIS

#### Course Objective

Several problems encountered in various branches of engineering relate to natural
processes which are governed by the laws of chance and which, therefore, are subject to
uncertainty. Such problems can only be studied by the use of probability theory and
mathematical statistics to take into account the uncertainty so that reliable and
economic solutions can be achieved. Probability theory and mathematical statistics
comprise the analysis of data observed on the uncertain processes, where the objective
is the extraction of information from data by statistical inference. This course is
intended to introduce the basic and essential concepts in data analysis, to present the
techniques used and to discuss the application of these techniques to natural processes
on various examples.

#### Learning Outcomes of the Course Unit

 1 understand the techniques used and discuss the application of these techniques to 2 introduce the basic and essential concepts in data analysis

Face -to- Face

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#### Course Contents

 Week Subject Description 1 Introduction to Statistical and Probability Methods 2 Characteristics of Random Processes 3 Random Variables and Their Distributions 4 Basic Concepts of Probability Theory 5 Methods of Parameter Estimation 6 Frequency Analysis 7 Probability Distributions 8 Probability Distributions and Tests of Goodness of Fit 9 I. MIDTERM EXAM 10 Sampling Theory and Decision Making (Hypothesis Testing) 11 Correlation and Regression Analyses 12 Correlation and Regression Analyses 13 II. MIDTERM EXAM 14 Presentation of Assignments and Evaluation

Walpole, R.E. & Myers, R.H. (1990): Probability and Statistics for Engineers and
Scientists (4th ed.). MacMillan Publishing Company, New York, 765 s.

#### Planned Learning Activities and Teaching Methods

Homeworks and presentations

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

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English

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