Ders Bilgileri

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
ENGINEERING STATISTICS-II ENM 206 4 4 + 0 4 6
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Dr.Öğr.Üyesi GÜLTEKİN ÇAĞIL Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı Introducing students to the probability theory and basic statistical sampling methods Dersin İçeriği Statistical distributions, point and interval estimation, one sample hypothesis tests, two sample hypothesis tests
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Student will be able to use the concepts of sample mean, sample variance, population mean, population variance and Central Limit Theorem 1 - 2 - 3 - 4 - 5 - A - C - 2 - Student will be able to explain the general concepts of estimating the parameters of a population or a probability distribution 1 - 2 - 3 - 4 - 5 - A - C - 3 - Student will be able to construct confidence intervals on the mean of a normal distribution, using appropriate distribution method 1 - 2 - 3 - 4 - 5 - 9 - A - C - 4 - Student will be able to construct confidence intervals on a population proportion 1 - 2 - 3 - 4 - 5 - 9 - A - C - 5 - Student will be able to structure engineering decision-making problems as hypothesis tests 1 - 2 - 3 - 4 - 5 - A - C - 6 - Student will be able to test hypotheses on the mean of a normal distribution using appropriate test procedure 1 - 2 - 3 - 4 - 5 - A - C - 7 - Student will be able to test hypotheses on a population proportion 1 - 2 - 3 - 4 - 5 - A - C - 8 - Student will be able to test hypotheses on the difference in means of two normal distributions using appropriate test procedure 1 - 2 - 3 - 4 - A - C - 9 - Student will be able to test hypotheses on the ratio of the variances of two normal distributions 1 - 2 - 3 - 4 - 5 - A - C - 10 - Student will be able to test hypotheses on the difference in two population proportions 1 - 2 - 3 - 4 - 5 - A - C - 11 - Student will be able to use the P-value approach for making decisions in hypotheses tests 1 - 2 - 3 - 4 - 5 - A - C - 12 - Student will be able to compute power, beta, and make sample size selection decisions for tests on means, variances, and proportions 1 - 2 - 3 - 4 - 5 - A - C - 13 - Student will be able test significance of the hypothesis by Analysis of Variance Approach (ANOVA) 1 - 2 - 3 - 4 - 5 - A - C - 14 - Student will be able to determine the relations between dependent and independent variables and use the regression model to make prediction of future observations. 1 - 2 - 3 - 4 - 5 - A - C - 15 - Student will be able to test and construct the coefficients of the regression model. 1 - 2 - 3 - 4 - 5 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 4:Drilland Practice 5:Demonstration 9:Simulation Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Probability Distributions, Discrete Probability Distributions, Bernoulli and Binomial Distributions
2 Sampling distributions and Estimation-II
3 Sampling distributions and Estimation-III
4 Normal, Standard Normal, Log Normal Distribution, Introduction of Normal Distribution Table
5 Gamma, Weibull Distribution, Normal Distribution Approach to Binomial Distribution
6 Sampling Distributions, Sampling Distribution of Means, Central Limit Theorem
7 Hypothesis tests: one sample-II
8 Sampling Distribution of Variances, Presentation of Chi Square Table, Presentation of F Table
9 Statistical Estimation and Confidence Intervals, Confidence Interval of Means, Confidence Interval of Ratios, Presentation of Table t
10 Confidence interval of difference of two mass means, Confidence interval of difference of two mass means in conjugate samples, Confidence interval of difference between two mass ratios, Confidence interval of variance ratios
11 Determination of sample size and estimation of sample size and mean and proportions
12 Hypothesis Testing, Errors in Hypothesis Testing, Stages of Hypothesis Testing
13 Hypothesis Testing of Mass Mean, Alpha and Beta Error, Hypothesis Testing of Small Samples, Proportions Hypothesis Testing
14 Multiple linear regression models

Kaynaklar

Ders Notu

http://www.gultekincagil.edu.tr

Ders Kaynakları

1. Serper, Ö., “Applied Statistics - 1”, Ezgi Bookstore, 2014.
2. Serper, Ö., “Applied Statistics - 2”, Ezgi Kitapevi, 2014.
3. Ersöz, F., Ersöz, T., “Statistical Data Analysis with IBM SPSS, Elit Publications, 2018
4. Arslan, İ., Statistical Programming with R ”, Pusula Publishing and Communication, 2018
5. Topal, B., Probability Statistics Lecture Notes

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
KisaSinav 2 10
Odev 1 15
Odev 2 15
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
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 3 48
Mid-terms 1 5 5
Assignment 6 8 48
Performance Task (Laboratory) 1 5 5
Final examination 1 5 5
Toplam İş Yükü 159
Toplam İş Yükü /25(s) 6.36
Dersin AKTS Kredisi 6.36
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