COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistical Research Methods * ENM   248 4 3 3 4

Prerequisites and co-requisites Yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Asst.Prof.Dr. Ebru YILMAZ
Instructors
Dr. Öğr. ÜyesiEBRU YILMAZ1. Öğretim Grup:A
 
Assistants
Goals
The purpose of this course is to study basic statistical research methods used in some research and works.
Content
Statistical applications in engineering, Data collection and analysis methods, Probability distributions, Confidence intervals, Hypothesis tests, Experimental design, Analysis of variance, Regression modeling.

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Has sufficient background on topics related to mathematics, physical sciences and industrial engineering.
X
2
Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods.
X
3
Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems .
X
4
Gains ability to choose and apply methods and tools for industrial engineering applications.
X
5
Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions.
X
6
Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team.
X
7
Can access information and to search/use databases and other sources for information gathering.
X
8
Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously.
X
9
Can use computer software in industrial engineering along with information and communication technologies.
X
10
Can use oral and written communication efficiently.
X
11
Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession.
X
12
Has a conscious understanding of professional and ethical responsibilities.
X
13
Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice.
X
14
Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering.
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Statistical applications in engineering Reading the resources related to the section
2 Data collection and analysis methods Reading the resources related to the section
3 Data collection and analysis methods Reading the resources related to the section
4 Probability distributions Reading the resources related to the section
5 Probability distributions Reading the resources related to the section
6 Confidence intervals Reading the resources related to the section
7 Confidence intervals Reading the resources related to the section
8 Mid-Term Exam The preparation for the mid-term exam
9 Hypothesis tests Reading the resources related to the section
10 Hypothesis tests Reading the resources related to the section
11 Experimental design Reading the resources related to the section
12 Experimental design Reading the resources related to the section
13 Analysis of variance Reading the resources related to the section
14 Analysis of variance Reading the resources related to the section
15 Regression modeling Reading the resources related to the section
16-17 Term Exams The preparation for the final exam

Recommended or Required Reading
Textbook
Additional Resources
1. MONTGOMERY, D.C., RUNGER, G.C., and HUBELE, N.F., 2011, Engineering Statistics (Fifth Edition), John Wiley & Sons, Inc.2. AKDENİZ, F., 1996, Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa