GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ENGINEERING STATISTICS/IE208
Course Title: ENGINEERING STATISTICS
Credits 3 ECTS 5
Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Ability to use appropriate statistical technique as a decision-making tool in uncertain environments
 -- MODE OF DELIVERY
  This course is delivered only by face-to-face training.
 --WEEKLY SCHEDULE
1. Week  INTRODUCTION: Basic concepts related to statistics, Data collection and editing.
2. Week  CENTRAL TENDENCY MEASURES: Mean, median, mode, etc.
3. Week  MEASURES OF VARIATION: Range, Average Deviation , Variance, Skewness
4. Week  SOME IMPORTANT CONTINUOUS DISTRIBUTIONS: Normal and Student-t distribution
5. Week  SOME IMPORTANT CONTINUOUS DISTRIBUTIONS: Chi-square and F distribution
6. Week  ESTIMATION AND INTERVAL ESTIMATION: Point estimation and properties, Population parameters, interval estimation for mean.
7. Week  INTERVAL ESTIMATION: Variance and proportion estimation for Population parameters
8. Week  INTERVAL ESTIMATION: Variance and proportion estimation for Population parameters
9. Week  STATISTICAL HYPOTHESIS AND TEST OF HYPOTHESIS:Test of Hypothesis for one population mean, variance and proportion.
10. Week  STATISTICAL HYPOTHESIS AND TEST OF HYPOTHESIS:Test of Hypothesis for comparing two population's mean, variance and proportion.
11. Week  NON-PARAMETRIC TESTS: Tests of Goodness of Fit and Independence
12. Week  CORRELATION: Pearson Correlation Coefficient, test of correlation coefficient
13. Week  REGRESSION: Types of regression, Simple Linear and Multiple Regression
14. Week  ANALYSIS OF VARIANCE (ANOVA)
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
9
20
 Application
0
0
 Projects
1
10
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
1
10
 Searching in Internet and Library
10
1
10
 Material Design and Implementation
0
 Report Preparing
10
2
20
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
2
10
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
122
 TOTAL WORKLOAD / 25: 
4.88
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purposeX
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individually
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .
 -- NAME OF LECTURER(S)
   (Doç. Dr. Hakan ÇERÇİOĞLU , Dr. İbrahim Yılmaz)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/cercioglu , https://aybu.edu.tr/muhendislik/endustri/custom_page-294-akademik-kadro.html)
 -- EMAIL(S) OF LECTURER(S)
   (cercioglu@gazi.edu.tr , iyilmaz@ybu.edu.tr)