COURSE UNIT TITLE

: INTRODUCTION TO STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
INŞ 2011 INTRODUCTION TO STATISTICS COMPULSORY 3 0 0 4

Offered By

Civil Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR YALÇIN ÖZDEMIR

Offered to

Civil Engineering
Civil Engineering (Evening)

Course Objective

Data analysis and evaluation in engineering. Assessment of probability structures of random variables, assessment of risk and uncertainty, information transfer.

Learning Outcomes of the Course Unit

1   To get knowledge of basic statistics,
2   Using statistical methods, data, calculate basic statistics,
3   Understand the concept of probability, to solve problems based on the probability,
4   To interpret the results of an engineering problem by doing a frequency analysis of the data,
5   By correlation analysis between the two data series, to calculate the linear relationship between them.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General Introduction, Purpose of the lecture, references
2 Frequency Distribution
3 The Definition and laws of probability
4 Probability density and cumulative probability
5 Distributions of one variable
6 Distributions with dual variables
7 I. MIDTERM EXAM
8 Expected Values
9 Discrete probability distribution functions
10 Continuous probability distribution functions
11 II. MIDTERM EXAM
12 Correlation and Regression Analysis
13 Regression Analysis
14 General assessment

Recomended or Required Reading

Textbook(s): Bayazıt, Oğuz(Yeğen): Mühendisler Için Istatistik. Birsen yayınevi.

References: Hines, Montgomery, Goldman, Borror. Probability and Statistics in Engineering. Wiley.

Materials: written and oral narratives.

Planned Learning Activities and Teaching Methods

Books, lecture notes, midterm exams, final exam.

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 (RESIT) MTE * 0.50 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Learning Outcomes are evaluated by the mid-term and final exams.

Language of Instruction

Turkish

Course Policies and Rules

Attandance will be evaluated.

Contact Details for the Lecturer(s)

Prof.Dr. Turkay BARAN: turkay.baran@deu.edu.tr
Asst.Prof.Dr. Gülay ONUŞLUEL GÜL : gulay.onusluel@deu.edu.tr
Asst.Prof.Dr. Ali GÜL: ali.gul@deu.edu.tr
Lec. Dr. Yalçın ÖZDEMIR: yalcin.ozdemir@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for final exam 1 10 10
Preparation for final exam 1 15 15
Preparation for midterm exam 2 4 8
Preparation for midterm exam 2 10 20
Preparations before/after weekly lectures 12 1 12
Final 1 2 2
Midterm 2 2 4
TOTAL WORKLOAD (hours) 107

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14
LO.24
LO.343
LO.45
LO.55

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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