

Course Information
Course Unit Title 
: 
Advanced Statistical Methods and Applications 
Course Unit Code 
: 
01KMM534 
Type of Course Unit 
: 
Optional 
Level of Course Unit

: 
Second Cycle 
Year of Study

: 
Preb 
Semester

: 
255.Semester 
Number of ECTS Credits Allocated

: 
6,00 
Name of Lecturer(s) 
: 


Course Assistants 
: 


Learning Outcomes of The Course Unit 
: 
Setting up and demonstration of programs used for data analysis in several processes of chemical engineering

Mode of Delivery 
: 
FaceToFace

Prerequisities and Corequisities Courses 
: 
Unavailable

Recommended Optional Programme Components 
: 
Unavailable

Course Contents 
: 
Setting up and demonstration of programs used for data analysis in chemical engineering, usage in engineering applications, conversion of experimental data to mathematical models, establishment of coordination and usage of model values and experimental values, uncertainty of measurement, introduction of statistical concepts which can be used in experiment design, Presenting and summarizing data, Estimating data parameters, parametric test of hypothesis, statistical classification, data registration, data structure analysis, Probability theory, distributions

Languages of Instruction 
: 
TurkishEnglish

Course Goals 
: 
To get a knowledge on statistical methods and their applications

Course Aims 
: 
Formation of a background of statistical methods in order to use them in their own research studies.

WorkPlacement 

Classes of Chemical Engineering Department


Recommended or Required Reading
Textbook

: 
D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

Additional Resources

: 
Resource Books: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005. 2. R. H. Meyers, ?Response Surface Methodology; Process and Product Optimization Using Designed Experiments?, Wiley Series in Probability and Statistics, 2002. 3. Irwin Miller and Marylees Miller, "John E. Freund's Mathematical Statistics", Sixth Edition, Prentice Hall,Inc.,NJ,1999. 4.. D.C. Monthgomery and G.C. Runger, " Applied Statistics and Probability for Engineers", John Wiley &Sons, Inc. 1994. 5. Joaquim P. Marques de Sá Applied Statistics Using SPSS, STATISTICA, MATLAB and R 2007 6. J.W.Barnes, "Statistical Analysis for Engineers and Scientists", McGrawHill,1994.

Material Sharing
Documents

: 
Internet, articles, books

Assignments

: 
Experimental data given during the course

Exams

: 
1 Midterm, 1 Final

Additional Material

: 
None


Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)


ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.

Activity

:


Course Duration (Excluding Exam Week)

:


Time Of Studying Out Of Class

:


Homeworks

:


Presentation

:


Project

:


Lab Study

:


Field Study

:


Visas

:


Finals

:


Workload Hour (30)

:


Total Work Charge / Hour

:


Course's ECTS Credit

:



Assessment Methods and Criteria
Studies During Halfterm

: 

Visa

: 

Quiz

: 

Homework

: 

Attendance

: 

Application

: 

Lab

: 

Project

: 

Workshop

: 

Seminary

: 

Field study

: 




TOTAL

: 

The ratio of the term to success

: 

The ratio of final to success

: 

TOTAL

: 


Weekly Detailed Course Content
Week

Topics

1

Introduction of the course and resources


Study Materials: None

2

Setting up the programs of the course


Study Materials: Internet

3

Conversion of experimental data to mathematical models


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

4

Establishment of coordination and usage of model values and experimental values


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

5

Uncertainty of measurement, introduction of statistical concepts which can be used in experiment design


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

6

Midterm



7

Presenting and summarizing data, Estimating data parameters


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

8

Parametric test of hypothesis


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

9

Statistical classification


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

10

Data registration, data structure analysis,


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

11

Probability theory


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

12

Distributions


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

13

Case studies


Study Materials: D.C. Montgomery, ?Design and Analysis of Experiments?, 6th Edition, John Wiley and Sons Inc., 2005.

14

Final



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