GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
TECHNOMETRICS/5021336
Course Title: TECHNOMETRICS
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Know How to make a research. It plans dependent and independent variables
To make the statistical analysis of the research and test data for industrial experiment
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Strategy of Experimentation, Some typical applications of experimental design, Basic principles, Guidelines for designing experiments,.
2. Week  Basic statstical concepts, Sampling and sampling distributions, Hypotesis testing, Choice of sampling size, Confidence intervals,
3. Week  Introduction, Basic principles of statistics (variance, Standard deviation, Standard error, Normal population, T-test)
4. Week  Experiments width a single factor: The analysis of variance,Analysis of fixed effects model.
5. Week  Randomized complete block design, Statistical analysis of RCBD, Model adequacy checking, Estimating model parameters
6. Week   Factorials designs, The two factor factorial design, Statistical analysis of the fixed effect model,
7. Week  2k faktorial design, Blocking a replicated 2k factorial design, Confounding the 2k factorial design, Partial confounding.
8. Week  Two level fractional factorial design, The one-half fraction of the 2k design, The one-quarter fraction of the 2k design,
9. Week  A Regresyon model, comparisons among treatment means, graphical comparisons of means, contrasts, orthogonal contrast,
10. Week  Hypothesis testing in multiple regression, test for significance of regression, test on induvidual regression coefficients and groups of coefficients,
11. Week  Introduction to response surface methodology, The method of steepest ascent, Analysis of a second order respons surface,
12. Week  Normal dışı cevaplar ve transformasyonlar, Transformasyon seçimi: Box-cox yöntemi, Generalleştirilmiş lineer model.
13. Week  Using SAS and JMP statistical software packages and problem solving.
14. Week   Response surface method, fullfactorial design, Taguchi design, S/N ratio, L4, L9, L27, L81 designs
15. Week  Factor analysis, Correlation matrix, Reproduced correlation matrix, Residual correlation matrix
16. Week  Practises and exam.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
10
 Assignment
2
10
 Application
4
10
 Projects
0
0
 Practice
0
0
 Quiz
4
10
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- 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
8
2
16
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
10
2
20
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
12
2
24
 Final Exam and Preperation for Final Exam
14
2
28
 Other (should be emphasized)
14
2
28
 TOTAL WORKLOAD: 
178
 TOTAL WORKLOAD / 25: 
7.12
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Muammer Nalbant)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/site/nalbant)
 -- EMAIL(S) OF LECTURER(S)
   (nalbant@gazi.edu.tr)