COURSE UNIT TITLE

: PROBABILITY AND STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
UKY 8035 PROBABILITY AND STATISTICS ELECTIVE 3 0 0 6

Offered By

Quality Management Non-thesis (Distance Learning)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ISTEM KÖYMEN

Offered to

Quality Management Non-thesis (Distance Learning)

Course Objective

To be able to collect data in the field of quality management using appropriate methods, to perform statistical evaluations, to interpret the results, to develop skills in using statistical outcomes, to enhance statistical reasoning, and to support these abilities with statistical programming languages.

Learning Outcomes of the Course Unit

1   1- To understand the definition and subject of statistics and its relationship with disaster management
2   2- To explain measures of tendency and measures of variation.
3   3- To classify variables according to their characterictics
4   4- To represent and interpret a data set graphically
5   5- To perform and interpret basic statistical analyses
6   6- To define fundamental concepts related to the science of statistics.
7   7- To solve and interpret problems with tos port of programming languages

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Variation concept and quality
2 Basic concepts (population, parameter, sample etc.)
3 summarizing and presenting data
4 measures of location
5 measures of dispersion and skewness
6 Acquires up-to-date, theoretical, and applied knowledge in the field of statistics.
7 2- Identifies and solves problems in the field of quality management using statistical methods.
8 3- Utilizes analytical thinking skills..
9 4- Applies computer software and programming knowledge effectively at a level to proficiently use the science of statistics.
10 5-Collects, analyzes, and interprets data, determining appropriate statistical methods.
11 6-Identifies statistical problems and develops evidence-based and research-driven solutions

Recomended or Required Reading

Işletme ve iktisat için istatistik Paul newbold
Statistical Quality Control -- Montgomery
R ile Istatistiksel Analiz ve Programlama, Nobel Akademik Yayıncılık, Hasan Bulut
R ile Veri Analizi, Istatistik, Modelleme,Uygulama, Sentez Yayıncılık, Hakan Emekçi,Suat Altan, Seçkin Yayıncılık

Planned Learning Activities and Teaching Methods

Lecture Method, Question-Answer Method, Discussion Method and Problem Solving Method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + STT * 0.30 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.30 + RST* 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Istem Köymen- istem.koymen@deu.edu.tr

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 3 42
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing assignments 14 4 56
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1343
LO.2343
LO.33443
LO.4343
LO.5343
LO.6343
LO.7333333

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

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