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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 : Face-To-Face
Prerequisities and Co-requisities 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 : Turkish-English
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", McGraw-Hill,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 :
Number Duration Total  
Course Duration (Excluding Exam Week) :
12 3 36  
Time Of Studying Out Of Class :
0 0 0  
Homeworks :
0 0 0  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 3 3  
Finals :
1 3 3  
Workload Hour (30) :
30  
Total Work Charge / Hour :
0  
Course's ECTS Credit :
0      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 100
Quiz :
0 0
Homework :
0 0
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
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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