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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
STATISTICAL EXPERIMENT DESIGN AND DATA PROCESS CEM 502 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Prof.Dr. SAİM ÖZDEMİR
Dersi Verenler Prof.Dr. SAİM ÖZDEMİR
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Temel Öğretim
Dersin Amacı
The primary course objective is to provide graduate students and researcher in the engineering and basic sciences with a thorough conceptual and practical understanding of statistical analysis and experimental design and to develop the ability to use the statistical software to analyse and interpret the results correctly.
Dersin İçeriği
Basic concepts of statistics; testing hypotheses and goodness of fit, standard deviation, standard error. Correlation and regression. Analysis of variance; estimating variance components in experimental measurements, multiple factor analysis of variance, factorial experimental design. Evaluation of the results.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Capable of conducting experiment with statistical analysis concepts 1 - 2 - 12 - 15 - A - C -
2 - To select appropriate statistical procedures for the analysis of data 1 - 2 - 15 - A - C -
3 - To be able to correctly carry out statistical calculations 1 - 2 - 15 - A - C -
4 - Capable of appropriately report and interpret statistical results 1 - 2 - 12 - 15 - A - C -
5 - To be able to use of computer aided statistical analysis programs 1 - 6 - 15 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 12:Case Study 15:Problem Solving 6:Motivations to Show
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
14 Evaluations of experimental results
13 Data processing with using statistical software
12 Multiple factor analysis
11 Correlation, linear regression, nonlinear regression
10 Correlation, linear regression, nonlinear regression
9 Factorial experimental design
8 Variance analysis methods, Anova
7 Duncans multiple range test, Newman Keuls test
6 Comparisons of means, LSD, Tukeys test
5 Variance analysis methods, F-test
4 Variance homogeneity tests, data transformations
3 Statistical experimental design, t-test, Chi-square test
2 Probability distributions, standard deviation, standard error, variance, confidence intervals
1 Basic concepts of statistics, observation and experiment, tests of significance, distributions.

Kaynaklar

Ders Notu
Ders Kaynakları Berthouex, PM., Brown, LC. 2002. Statistics for Environmental Engineers. LEWIS PUBLISHERS.

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Deal skills with evaluation, construction and application of the data’s by reconnoitering at engineering area. X
2 Deal skills with completion and application of the data’s with scientific methods that using limited or scarce parameters and deal skills with integration of various disciplinary data’s. X
3 Deal skills with editing engineering problems, improving methodology and exercising of innovative methods at solutions. X
4 Deal skills with improving innovative and original methods; improving innovative solutions at system, component or process designing. X
5 Deal skills with comprehensive knowledge concerning with modern techniques, methods and limits applying at engineering. X
6 Deal skills with contemplation and application of analytical, modeling and experimental researches; deal skills with to analyze and to comment the complex situations encountered at this process. X
7 Deal skills with to characterize the requirement knowledge / data and to access and evaluate this knowledge’s. X
8 Deal skills with leading to multidisciplinary groups and improving solutions at complex situations. X
9 Deal skills with to convey the process and results of the researches systematically and unequivocally in writing and by parol at national and international areas. X
10 Deal skills with to consider the social, scientific and ethic values at data collection, comment and announced phases and other all vocational activities. X
11 Deal skills with awareness at new and developing applications of business and deal skills with analyzing and learning of these applications. X
12 Deal skills with to apprehend the social and environmental dimensions of engineering applications and deal skills with to accord to social environment. X
13 Deal skills with evaluation, construction and application of the data’s by reconnoitering at engineering area. X
14 Deal skills with completion and application of the data’s with scientific methods that using limited or scarce parameters and deal skills with integration of various disciplinary data’s. X
15 Deal skills with editing engineering problems, improving methodology and exercising of innovative methods at solutions.
16 Deal skills with improving innovative and original methods; improving innovative solutions at system, component or process designing.
17 Deal skills with comprehensive knowledge concerning with modern techniques, methods and limits applying at engineering.
18 Deal skills with contemplation and application of analytical, modeling and experimental researches; deal skills with to analyze and to comment the complex situations encountered at this process. X
19 Deal skills with to characterize the requirement knowledge / data and to access and evaluate this knowledge’s. X
20 Deal skills with leading to multidisciplinary groups and improving solutions at complex situations.
21 Deal skills with to convey the process and results of the researches systematically and unequivocally in writing and by parol at national and international areas.
22 Deal skills with to consider the social, scientific and ethic values at data collection, comment and announced phases and other all vocational activities. X
23 Deal skills with awareness at new and developing applications of business and deal skills with analyzing and learning of these applications.
24 Deal skills with to apprehend the social and environmental dimensions of engineering applications and deal skills with to accord to social environment.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
Odev 1 10
Odev 2 10
Odev 3 10
Odev 4 10
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 5 80
Mid-terms 1 5 5
Quiz 0 0 0
Assignment 4 1 4
Final examination 1 10 10
Toplam İş Yükü 147
Toplam İş Yükü /25(s) 5.88
Dersin AKTS Kredisi 5.88
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